Post on 20-Jan-2017
A climate change impact assessment on the spread of furunculosis in the
Ouje-Bougoumou region.
By Benita Tam
A thesis submitted in conformity with the requirements for the degree of
Masters in Geography, collaborated in Environment and Health.
Graduate Department of Geography
University of Toronto
© Copyright by Benita Tam 2008
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Benita Tam. A climate change impact assessment on the spread of furunculosis in the Ouje0Bougoumou region. 2008. Masters of Science in Geography, collaborated with Environment and Health. Graduate Department of Geography, University of Toronto.
Abstract
A climate change impact assessment was conducted to examine the spread of furunculosis
found in the fish species of Ouje-Bougoumou; and subsequently to examine the resulting
impacts on the health of the community. A past assessment was performed to assess whether
there was a temporal relationship between increased temperatures and past incidences of
furunculosis using observed climate data and traditional ecological knowledge (TEK) data. To
project future impacts of climate change, climate models, lake models and TEK were used.
Findings show that the rise in air mean temperature coincides with the timeline of past
incidences of furunculosis. It is predicted that the lake temperatures will remain suitable for the
presence of A. salmonicida; thus, it is likely that the disease will persist throughout the twenty-
first century. Climate change is not eliminated as a plausible factor to the onset of furunculosis;
rather, it is argued that a combination of stress factors, i.e. past mining activities and warmer
temperatures, put the fish species at a greater risk to furunculosis.
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Acknowledgements
First and foremost, I would like to thank my advisors, Dr. William Gough and Dr. Len Tsuji, for all their help, guidance, invaluable knowledge, and financial assistance throughout this study. I would like to thank the Ouje-Bougoumou community. Without their approval and participation, the completion of this study would not have been possible. Special thanks to the participant/tour guide that took us out to Lac Obatogamau, and provided detailed maps, historical information, and personal experiences pertinent to the study. I would like to thank the Ouje-Bougoumou research team: Dr. Len Tsuji, Eric Liberda, and Dan McCarthy. I give much appreciation to Dr. Len Tsuji and Eric Liberda for their assistance in collecting the traditional ecological knowledge and bathymetry data used for the study. I would like to thank the University of Toronto, Department of Geography for providing me with the McMaster research fund to cover my research expenses, and IHRDP and SSHRC for the financial support. I would also like to thank my sister, Clara Chang, for her support and assistance in proofreading my entire thesis. Finally, I would like to thank my friends and family for their continual encouragement and support throughout my Master’s studies.
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Table of Contents
CHAPTER 1: Introduction........................................................................................................ 1
Purpose and objectives ........................................................................................................ 2
CHAPTER 2: Literature Review............................................................................................... 3
Recent research.................................................................................................................... 3
Furunculosis ........................................................................................................................ 4
Climate change .................................................................................................................... 8
Aboriginal issues ............................................................................................................... 10
Aboriginal perspectives ..................................................................................................... 11
CHAPTER 3: Study areas and exposure unit.......................................................................... 12
CHAPTER 4: Methods............................................................................................................ 15
Methods for research objective 1. ..................................................................................... 16
Methods for research objective 2. ..................................................................................... 20
Methods for research objective 3. ..................................................................................... 23
Methods for research objective 4 ...................................................................................... 31
Methods for research objective 5 and 6. ........................................................................... 31
Methods for traditional ecological knowledge ................................................................. 31
CHAPTER 5: Results.............................................................................................................. 33
a. Temporal analysis ....................................................................................................... 33
b. Spatial data .................................................................................................................... 35
TEK: Interview with an expert field guide/ community member ..................................... 38
Climate change projections ............................................................................................... 40
Online FLake model results .............................................................................................. 43
Offline FLake model results.............................................................................................. 47
Summary of climate change projections ........................................................................... 50
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Fish species........................................................................................................................ 52
Past TEK findings ............................................................................................................. 54
TEK: Interview with an expert field guide/ community member ..................................... 54
CHAPTER 6: Discussion ........................................................................................................ 55
Timeline of temperature and incidences of furunculosis .................................................. 55
Climate change scenarios between 2011 and 2100 ........................................................... 56
Climate change and fish species of Ouje-Bougoumou ..................................................... 57
Furunculosis temperature range ........................................................................................ 60
Fish located in different depths of the lakes...................................................................... 61
Impacts of climate change on fish species ........................................................................ 64
Changes in seasonal time length ....................................................................................... 64
Changes in dissolved oxygen levels of a lake ................................................................... 65
TEK analysis ..................................................................................................................... 66
The significance of past mining activities ......................................................................... 67
Health impacts on the Aboriginal community .................................................................. 69
CHAPTER 7: Conclusions and recommendations for further research.................................. 70
Broader implications on the spread of furunculosis .......................................................... 72
Recommendations for further research ............................................................................. 73
REFERENCES……………………………………………………………………… .……...74
APPENDIX I ........................................................................................................................... 83
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List of Figures
Figure 1. Map of Ouje-Bougoumou (Google, 2007)……………………………. …..………..13 Figure 2. Map of Lac Obatogamau and Lac Chibougamau (Hydro Quebec, 2003) ...……......14 Figure 3. Equation to convert relative humidity into absolute humidity (NCAR, 2004)…......28 Figure 4. Appendix I. Questionnaire………...…………………………………………….......83 Figure 5. Temperature Means of May to September of Ouje-Bougoumou (1963-2001)…......34 Figure 6. Bathymetry map of Lac Chibougamau and Lac aux Dores (Trakmaps, Lac
Chibougamau, 2008)………………………………………………………………......36 Figure 7. Appendix I. Bathymetry map of Lac Opemisca………………………………….....84 Figure 8. Forecast of annual mean temperatures from 2011 to 2100 ...………………………39 Figure 9. Forecast of summer mean temperatures from 2011 to 2100………………………..40 Figure 10. Current maximum surface and bottom water temperatures of Lac Obatogamau
produced with FLake…………………………………………………………………..44 Figure 11. Current maximum surface and bottom water temperature of Lac Chibougamau
produced with FLake…. ………………………………………………………………45 Figure 12. Theoretical current location of fish species in Lac Obatogamou.………………….63 Figure 13. Theoretical location of fish species in Lake Obatogamou in very warm climate
conditions………………………………………………………………………………64
List of Tables Table 1. Bathymetry data of Lac Obatogamau……………………………………………...…37 Table 2. Comparing annual and summer baseline projections to actual annual and
summer temperature averages (°C) of Ouje-Bougoumou (1963-1990)…….………….41 Table 3. Comparing climate change projections to the projected summer baseline
averages (°C)……………………………………………………………….……...…...42 Table 4. Maximum surface water temperature of Lac Obatogamou……………….…………..45 Table 5. Maximum surface water temperature of Lac Chibougamau…………….……………45 Table 6. Lac Obatogamau water temperature (°C) transposition scenarios…….………...……46 Table 7. Lac Chibougamau water temperature (°C) transposition scenarios….……………….47 Table 8. Appendix I. File of lake parameters to be inputted into Flake for Lac
Obatogamau. ……………………………………………………………………….…..85 Table 9. Appendix I. File of lake parameters to be inputted into Flake for Lac
Chibougamau. ……………………………………………………………………….…86 Table 10. Maximum and Summer mean surface water temperatures (°C ) of offline FLake
scenarios………………………………………………………………………………..49 Table 11. Summer mean water temperature and bottom mean water temperature (°C ) of
offline FLake scenarios………………………………………………………………...50 Table 12. Summary of climate change projections of summer mean temperature (°C ) for
A2 scenarios and offline FLake scenarios………………………….……………….….52 Table 13. Chart of fish species descriptions………….…………………….…….…..………. 53
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CHAPTER 1: Introduction
Recently in the traditional Ouje-Bougoumou territory, game fish with sores and lesions have
been diagnosed with furunculosis caused by Aeromonas salmonicida in Lac Chibougamau and
Lac Obatogamau (“Albert’s Fish Part 1”, 1999; Travers, 1999). The etiology of this condition
is still unknown, though there has been much speculation that nearby mining sites may have
played a factor. While it is strongly believed that toxic metals from nearby mines are
contaminating the fish populations of Ouje-Bougoumou; this does not entirely explain the
origin of furunculosis. Also, a causal relationship between metals and furunculosis has not
been shown (Bermoth et al., 1997). One factor that has yet to be explored as a possible reason
for the spreading of furunoculosis in game fish is climate change.
The effects of climate change are becoming more evident in the northern regions of Canada,
and its repercussions are affecting the lifestyle of many Aboriginals (Ford et al., 2006). Since
fish is a primary food source to the Ouje-Bougoumou community, an increasing rate of
furunculosis may have a significant effect on the diet of many Aboriginal members. This study
examined the impacts of climate change on the spread of furunculosis, and how this may
impact the lifestyle of the Ouje-Bougoumou community.
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Purpose and objectives
How and when A. salmonicida was transmitted to fish populations of Ouje-Bougoumou
is currently unknown, and the prevalence of this disease has yet to be determined. The
impact of climate change is a factor that has yet to be assessed. There are two main
research questions related to my thesis: 1. What are the implications of climate change on
the spread of furunculosis found in fish species of Ouje-Bougoumou? 2. How will this
impact the health of the community?
The research objectives of the study are:
1. To investigate whether a spatial and temporal pattern exists with the appearance
of furunculosis over the last forty years.
2. To project plausible climate change scenarios.
3. To examine impacts of climate change on the study lakes.
4. To examine the impacts of climate change on the fish species of Ouje-
Bougoumou, and to assess the impacts of climate change on the spread of
furunculosis in the fish species of Ouje-Bougoumou.
5. To collect and collate indigenous knowledge from the Ouje-Bougoumou
traditional territory for greater understanding on the prevalence of the diseased
fish.
6. To determine the potential impacts on the Aboriginal community of Ouje-
Bougoumou as a result of the spread of furunculosis from climate change.
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CHAPTER 2: Literature Review
Current research and the literature provide a broad understanding of the issues explored
in this study. This chapter presents an overview of the most recent findings related to the
study, as well as information on furunculosis, climate change, and Aboriginal issues and
perspectives.
Recent research
First Nation people of the Ouje-Bougoumou community have always subsisted on fish
from these lakes, and so when the fish started to show physical changes, there were great
concerns on the origins of these malformations. These lakes include Lac aux Dores, Lac
Chibougamau, Lac Obatogamau and Lac Nemenjiche (Figure 2). In the late 1990s, an
elder named, Albert Mianscum, discovered that the majority of the fish he caught from
Lac Chibougamau and Lac Obatogamau were showing physical deformities (“Albert’s
Fish Part 1”, 1999; and Travers, 1999). The physical deformities included red sores,
missing eyes, and missing fins (Ullmann, 2005).
Past activities
Since the early 1950s, mining activities have taken place in the Chibougamau region. It
has been suggested that metal contamination is linked to the deformity of fish, as 40.6
cubic tonnes of contaminated waste had been released into Lac Chibougamau and Lac
aux Dores (Nicolls and Stewart, 2005). Covel and Masters (2001) found that these lakes
were heavily contaminated with dangerous metals such as chromium, cadmium, arsenic,
zinc and cyanide. Metal levels far exceeded the allowable limit under the Canadian
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Environmental Quality Guidelines Interim Sediment Quality Guidelines of the Protection
of Aquatic Life (Nicolls and Stewart, 2005). Also, fish from these waterbodies were so
contaminated that in 2001, there were warnings against consuming more than two fish
per month for the members of the Ouje-Bougoumou community (Nicolls and Stewart,
2005). Unfortunately for many, consuming fish is a way of life, and removing such foods
would be unacceptable to them. Community members rely on traditional methods for
obtaining their foods, and harvesting fish is a prevalent method for obtaining food
sustenance (Tsuji et al., 2007).
Past findings
In 2000, sixteen game fish caught from Lac Obatogamau tested positive for A.
salmonicida by a pathologist (Penn, 2000). Of the sixteen samples, it is known that there
were at least two types of species: Sander vitreus, also known as walleye; and
Catostomus commersonii, also known as sucker (Eli, 2007; and Penn, 2000). Other fish
species found in the region include lake trout, river redhorse, white suckers, brook trout,
lake whitefish, northern pike, and burbot (Tsuji et al., 2007), but it is unknown whether
they were infected with furunculosis as well.
Furunculosis
Furunculosis is a fish disease caused by the bacterial pathogen, A. salmonicida. It is also
considered one of the oldest surviving fish diseases in the world (Schachte, 2002). This
disease was first discovered in 1909 in Bayern, Germany, when wild brown trout showed
signs of disfiguration. Furunculosis had spread to other countries, causing an ever-
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growing problem within the aquaculture industry (Austin, 1997; Schachte, 2002). Despite
the numerous research studies conducted, there are still some underlying uncertainties
concerning the nature of the disease. As a result, ongoing research is still being conducted
to explore outstanding issues such as, what causes the first incidences of furunculosis to
occur, and what factors allow the bacterium to survive (Schachte, 2002).
Furunculosis caused by A. salmonicida is only found in fish. Cases of furunculosis found
in other types of mammals are caused by other types of bacteria. A. salmonicida typically
infects freshwater fish species, such as salmonids, cyprinids (Schachte, 2002),
anoplopomids, and serranids (Austin, 1997). Though less likely, it can also affect
seawater fish species (Schachte, 2002).
Diseased fish may have either acute or chronic cases of furunculosis. Clinical signs of
acute cases include changes in skin colour, lesions found on the skin and muscles, and
haemorrhages found on the fins of the fish (Noble and Summerfelt, 1997; Torenzo et al.,
2005). There are also internal symptoms that include swollen kidneys and infected
intestines (Bernoth et al., 1997). The most prominent symptom of furunculosis is the
appearance of boils or lesions, but chronically ill fish can also carry the disease without
showing any clinical symptoms (Bernoth et al., 1997; Hiney et al., 1997). The survival
time for a fish with an acute case of the disease is only a few days (Schachte, 2002). In
contrast, fish infected with chronic cases of furunculosis may have a much longer
survival time. Chronic cases of furunculosis exhibit the same symptoms as acute cases,
but to a lesser degree. Due to dormant cases of furunculosis, the exact duration of the
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survival time for chronic cases remains uncertain. Dormant cases of furunculosis occur
when fish infected with the bacterium are not showing signs of the disease, these fish
may also be known as covert hosts. And because of covert hosts, eradication of this
disease remains uncertain in the fish industry. At times, it is difficult to detect the
bacterium because of asymptomatic or latent carriers, which is why the time of incidence
may not always be known. The pathogen is more likely to be latent in cooler
environments, and highly active in warm environments (Schachte, 2002).
Furunculosis is transmitted through contact with host carriers and diseased fish. Other
than fish, carriers of A. salmonicida include parasites (i.e. sea lice); other mammals (i.e.
birds); and contaminated items (i.e. clothing or equipment) (Johnsen and Jensen, 1994;
Schachte, 2002). A. salmonicida is found in the spleen, gills and external mucus of
infected fish, which allows the pathogen to easily migrate to other fish by entering
through their bodily openings: gills, mouth, anus, or wounds (Austin, 1997).
A. salmonicida can survive in fish for extended periods of time -but when it exits the
host, the bacterium can only exist for a minimal period of time in waterbodies without a
vector (Johnsen and Jensen, 1994; Schachte, 2002). Their survival time significantly
decreases to 3 to 4 days. The waters are hostile environments for A. salmonicida, causing
the number of colony-forming cells to decline (Austin, 1997; Schachte, 2002).
Cases of furunculosis usually occur during the summer season, primarily in July and
August (Schachte, 2002). Furunculosis outbreaks usually occur when ambient air
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temperatures and water temperatures are warm (Johnsen and Jensen, 1994); though cases
of furunculosis may still occur when water temperatures are cool (Austin, 1997; Perry et
al., 2004; Schachte, 2002). The optimum survival temperature for furunculosis is from
12.8 to 21.1°C, but studies have found that the pathogen may still survive in water
temperatures as cool as 0.5 to 1.6 °C (Schachte, 2002). Another report indicated that
furunculosis is commonly found in fish species when water temperatures are 17°C or
above, and furunculosis can be latent when water temperatures are below 7°C (Penn,
2000).
When fish species are stressed or injured, they are at a greater risk of contracting
furunculosis. Fish populations are more susceptible to the disease when waterbodies are
19 °C or higher, polluted, and/or highly populated with fish (Austin, 1997; Perry et al.,
2004). This may explain why stress or injury-induced incidences mimic a seasonal
pattern, as higher temperatures play a prominent role (Hiney et al., 1997). With a
combination of these factors, a stressful environment can aggravate the disease from
being latent to an active state in a fish population (Hiney et al., 1997), increasing the rate
of infection.
To minimize the prevalence of furunculosis, a vaccine has been created to heal and
provide immunity to fish populations inflicted with the disease. These methods are
primarily used in aquaculture farms. These drugs have greatly improved the economy of
this industry, but with that there have been studies that have found evolving antibiotic
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resistance strains of A. salmonicida (Schachte, 2002). Moreover, these vaccines are
seldom used in wildlife settings, making eradication of furunculosis nearly impossible.
Furunculosis has affected lakes and fisheries worldwide. Since 1982, this disease has
been found in fish species of the Great Lakes basin (Sippel, 1982). In 1983, three lakes in
southwestern Quebec were stocked with brook char affected by acute furunculosis; 80-
90% of this stock died within 12 weeks of infection (Dumont, 1983). In 2004, for the first
time, it was reported that the disease had affected sea lampreys in Lake Ontario, a
parasitic fish in the Great Lakes (Faisal et al., 2007). This indicates that furunculosis
caused by A. salmonicida is perpetually occurring and possibly evolving with vaccine-
resistant strains, as it affects more types of species.
Climate change
Climate change is defined as significant changes to climate norms. It is important to
differentiate between climate change and climate variability, where the latter refers to
naturally occurring changes in climate (Porter and Mikhail, 1999). Climate change is
usually associated with anthropogenic activity. Anthropogenic activities, such as burning
of fossil fuels and deforestation, have led to an increase of aerosols and greenhouse gases
(GHGs) in the atmosphere (IPCC, 2007). Increases in GHG and aerosol concentrations in
the atmosphere affect the energy balance of the Earth. Large concentrations of aerosols
and GHGs affect incoming solar radiation and outgoing thermal radiation; this results in
an imbalance in the exchange of energy, which has led to the warming of the Earth
(IPCC, 2007). Because human activities have contributed much to the increase in GHG
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concentrations, such as carbon dioxide (CO2), many believe humans to be the cause of
climate change.
Indications of climate change include a rise in global temperatures, greater abnormal
weather patterns, greater extremes, greater variability in precipitation, greater weather
related natural disasters, decrease in ice cover area, rise in sea levels (in certain regions of
the Earth) and changes in lake levels (Furgal and Sequin, 2006; IPCC, 2007).
Consequently, there will be greater snowmelt, greater risk of soil erosion and landslides,
and greater problems of poor water quality (Newton et al., 2005).
Climate change will also have an effect on dimictic lakes and the species that live in
them. The onset of lake stratification will occur earlier in the year, the number of days in
the ice-free season of lakes will increase, and lake water temperatures will increase (De
Stasio et al., 1996). An increase in water temperatures will change the oxygen and
nutrient levels of waterbodies, and possibly changing dimictic waterbodies to monomictic
waterbodies (Mortsch and Quinn, 1996; Reist et al., 2006). As climate change degrades
the nutrient richness of waterbodies, this will decrease the growth rate and reproductive
rate of a fish. In addition, the rise in water temperatures will increase the thermal habitat
of most fish species, though a rise in maximum surface water temperatures may exceed
the thermal maxima of other fish species (De Stasio et al., 1996).
The rise in water temperatures will broaden the habitat range of some fish populations,
but not for Arctic fish (Reist et al., 2006). Arctic fish species have a restricted tolerance
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zone. If water temperatures exceed their thermal optima, the environment becomes very
stressful for the fish. This will weaken the body of the fish (Reist et al., 2006), making
them more susceptible to disease and disfiguration.
There is evidence that climate change is already occurring. The global surface
temperature has increased, sea levels in certain regions of the Earth have increased, and
Arctic ice cover area has decreased (IPCC, 2007). For example, the global annual mean
temperature has increased by 0.7 °C over the past century (Easterling et al., 2005).
Between 1995 and 2006, all but one year registered the warmest recorded global surface
temperature since 1850 (IPCC, 2007). There have been changes in global precipitation
patterns as well: the eastern coasts of North and South America, and parts of Europe and
Asia have seen an increase in precipitation, while areas of Africa and southern Asia, the
Sahel and the Mediterranean have seen a decrease in precipitation (IPCC, 2007).
Aboriginal issues
Aboriginal communities are more vulnerable to the impacts of climate change (Ford et al,
2006). Environmental changes due to climate change will ultimately result in changes to
their lifestyle, social interactions, cultural aspects, and methods of subsistence (Ford et al,
2006). The traditional diet of indigenous people is predominantly game meat and fish.
Such foods are obtained using traditional methods, such as hunting, fishing and trapping.
Unfortunately, fish and other game meat are becoming more inaccessible or
inconsumable due to changing environments, causing many Aboriginals to resort to
market foods. Willows (2005) found that for many Aboriginals who purchase market
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foods, the average intake is higher in fat and sugar, and lower in essential vitamins. Poor
food decisions can lead to greater health problems (i.e. obesity and malnutrition) and
food security issues within the community.
Aboriginal perspectives
Indigenous cultures live by traditional ecological knowledge (TEK). It is well defined by
Berkes et al. (2001): “[TEK is] a cumulative body of knowledge, practice and belief
evolving by adaptive processes and handed down through generations by cultural
transmission, about the relationship of living beings with one another and with their
environment.” Through TEK, indigenous traditions, such as certain hunting methods and
traditional foods, are sustained (Berkes et al., 2001). Unlike scientific research, TEK
embodies a holistic view of the environment.
Indigenous perspectives are integrative (Aikenhead and Ogawa, 2007). TEK connects
humans and animals together with their land, and a personal relationship is built among
the interactions of people, communities, and ecosystems of their environment (Aikenhead
and Ogawa, 2007). Indigenous communities have witnessed changes to their
surroundings, and using their own traditional methods, they have connected them to
certain causes (Berkes et al., 2001). This information is vital particularly for temporal
analyses. Since indigenous culture and environmental facts are transferred from
generation to generation, there is a chronological understanding of the environment. On
another note, broken communication may exist through the transfer of traditional
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knowledge (Drew, 2005). Thus, researchers should acknowledge that some TEK data
might vary due to different perspectives on historical events.
By examining the relationship between furunculosis and climate change, this study
challenges the hypothesis that waste from past mining activities is the main cause to the
prevalence of diseased fish. The Ouje-Bougoumou community possess pertinent
information on the development of the disease concurrent with the changes to the
environment. Such traditional knowledge is key to reaching a comprehensive
understanding on the significance between climate change and the spread of furunculosis.
CHAPTER 3: Study areas and exposure unit
Study area: Ouje-Bougoumou
Ouje-Bougoumou is located in the southern region of James Bay, Quebec. Residing in
this area is a Cree Nation with over six hundred residents (Dewailly et al., 2005). The
name, ‘Ouje-Bougoumou,’ is a Cree word defined as “the place where people gather”
(Goddard, 1994).
In 1960, Ouje-Bougoumou became a mining hotspot for exploration companies. For over
40 years, the Cree Nation of the Ouje-Bougoumou community has been subject to the
influx of these exploration companies, often forcing them to relocate multiple times
(Goddard, 1994). It wasn’t until the early 1990s did the Cree Nation settle at a location
near Lake Opemisca and become a stable community (Goddard, 1994). However to this
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day, exploration companies are still moving in and extracting in parts of their territory,
dispersing heavy metals and pollutants into their environment (Dewailly et al., 2005).
The geographic coordinates of Ouje-Bougoumou are 49° 55′ 0″ N, 74° 49′ 0″ W
(Canadian Environmental, 2007), which is approximately sixty kilometres west of
Chibougamau and nine hundred sixty-five kilometres north of Montreal (Cooper, 2006
and Dewailly et al., 2005): Figure 1 shows the location of the study area.
Figure 1. Map of Ouje-Bougoumou (Google, 2007).
Ouje-Bougoumou
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Study waterbodies: Lac Obatogamau and Lac Chibougamau
Two lakes of interest are Lac Obatogamau and Lac Chibougamau. These sites are places
identified by elder Albert Mianscum to have been inhibited by diseased fish (“Albert’s
Fish Part 1”, 1999). Lac Obatogamau is located east of Ouje-Bougoumou (Figure 2):
latitude 49.58 and longitude –74.56 (Morin, 2008). It has a length of 30.3 km, a width of
8.4 km, a perimeter of 278.42 km, and an area of 76.15 km² (Morin, 2008). North of this
lake is Lac Chibougamau: latitude 49.841 and longitude –74.23 (Morin, 2008). The lake
has a length of 24.5 km, a width of 10.8 km, a perimeter of 239.79 km, and an area of
206.16 km².
Figure 2. Map of Lac Obatogamau and Lac Chibougamau (Hydro Quebec, 2003).
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Exposure unit
The exposure unit of the study is the aquatic ecosystem of the lakes in Ouje-Bougoumou.
In particular, fish species of Ouje-Bougoumou are most vulnerable to climate change and
the spread of furunculosis.
CHAPTER 4: Methods
The conceptual framework used in the study was a climate change impact assessment
(CCIA) that included both scientific and traditional assessments. A CCIA allows for a
complete, structured, and thorough assessment on the impacts of climate change on the
spread of furunculosis found in fish species inhibiting the lakes of the traditional territory
of the Ouje-Bougoumou Cree. Conducting a CCIA also allowed for the inclusion of
expert judgement, in this case TEK (Carter et al., 1996)
Because this issue was centered on the First Nation peoples of the Traditional Ouje-
Bougoumou territory, it was necessary to include their knowledge and experience.
Involving the Ouje-Bougoumou community and understanding their concerns would in
turn deliver results that would be more applicable, comprehensible and valuable to them.
This chapter discusses the steps that were carried out to achieve the goals of the study.
The methodologies presented in this chapter are organized by the relevant research
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objectives. Methods for TEK collection are explained as a subsection on its own to avoid
repetition.
Research objective 1: To investigate whether a temporal and spatial pattern exists with
the appearance of furunculosis over the past few decades.
In conducting a temporal analysis, past climate data, and past and present TEK findings
were examined. A temporal analysis was conducted to link climate variables to the
appearance of furunculosis found in the local fish. For the spatial analysis, bathymetry
maps and lake dimension data were collected, and a field trip to Ouje-Bougoumou was
taken in June 2008. A spatial analysis provided a geographical perspective on the spread
of furunculosis.
Climate data
To examine past climate conditions in the Ouje-Bougoumou region, temperature data
from Chapais-2 weather station were collected from Environment Canada’s climate data
archives (Environment Canada, Climate Data, 2005). The Chapais-2 weather station is
located at latitude 49.49 and longitude -74.59, which is southwest of both Lac
Obatogamau and Lac Chibougamau (shown on Figure 2). Climate data were obtained
from this weather station because it was the closest location that had available climate
data required for the study, which were of daily temperature data between 1963 and 2001.
Thus, a temporal analysis was conducted with daily temperature data covering the years
spanning from 1963 to 2001.
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Monthly mean temperature data
Monthly mean temperatures from May to September were calculated from daily data.
The time period was restricted to the months between May and September because
outbreaks of furunculosis in Ouje-Bougoumou are associated with summer seasons
(Schachte, 2002; “Albert’s Fish Part 1”). In linking the disease to temperature, the
optimal temperature range for furunculosis was chosen to be 12.8 to 21.1 °C, and 17°C as
the specific optimal temperature (Penn, 2000; Schachte, 2002).
Maps
Bathymetry maps of Lac Opemisca, Lac Chibougamau, and Lac aux Dores were obtained
from a company called, ‘Trakmaps’ (Trakmaps, Bathymetric Maps, 2008).
Lake dimensions
The mean depth of Lac Chibougamau was calculated using past mean water depths
recorded from 1964 to 1969 by the Water Survey of Canada, Environment Canada
(Environment Canada, Water Survey, 2008). Lake depth was an essential parameter for
the analysis of climate change impacts on the study lakes.
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For both lakes, other dimensions, such as length, width, perimeter, altitude, surface area
and catchment area, were obtained through the Centre d’expertise hydrique, Ministry of
Quebec (Morin, 2008).
Field trip to Ouje-Bougoumou: measuring water depth of Lac Obatogamau
On June 26th to June 30th 2008, a field research trip to Ouje-Bougoumou, Quebec was
made to collect bathymetry and TEK data. A community member appointed by the Band
office of Ouje-Bougoumou took the research team to certain parts of Lac Obatogamau;
this person was also knowledgeable about the furunculosis issue. Physical data collection
was conducted with respect to bathymetry data of Lac Obatogamau. In the vicinity of
where diseased fish were once found, water depths were measured at various points in
Lac Obatogamau using a fish finder. The fish finder provided the maximum depth,
surface temperature, and the presence of any fish. A topographic map and a geographical
positioning system (GPS) system were used to track the locations of the measuring
points.
Appointment of expert field guide/ community member
The Band office of the Ouje-Bougoumou community appointed an expert field guide for
the research team. This community member was someone that had expert knowledge in
the issues related to furunculosis and the geographical locations of past incidences of the
disease.
19
Validating water depth
The water mean depths of Lac Chibougamau and Lac Obatogamau were compared to the
water depths of nearby lakes: Lacs aux Dores and Lac Opemisca. Referring to a map of
the Chibougamau region, Lac Obatogamau, Lac Opemisca, and Lac aux Dores are
similar in size, though Lac Chibougamau is considerably larger. Also, since these lakes
were formed from the same glacier, it is expected that bathymetric results for Lac
Obatogamau would be similar to those of Lac Opemisca and Lac aux Dores, though
bathymetric values for Lac Chibougamau would be larger.
The mean water depth of Lac aux Dores was calculated using past records (1964-1971)
from the Water Survey of Canada, and the mean water depth of Lac Opemisca was
obtained through TEK data (Trakmaps, Lac Opemisca, 2008). Bathymetry maps of Lac
Chibougamau and Lac aux Dores were also used to validate the depth of Lac
Chibougamau (Trakmaps, Lac Chibougamau, 2008).
TEK data
TEK data were collected to examine the timeframe of past incidences of furunculosis,
and to find the locations of where such incidences occurred. Also, information
concerning what may have affected the fish species in the past was collected.
20
Research objective 2: To project plausible climate change scenarios.
To examine plausible scenarios of climate change, climate change projections were
created.
Climate change models
Climate change projections were created using climate models. Both global and regional
climate models were used in the study. Climate models produce climate change scenarios
that portray simulations of the future climate (Parry and Carter, 1998). These scenarios
are not true predictions of what may come in the future, but they are plausible
descriptions of future climate conditions (Environment Canada, “Constructing
Scenarios”, 2007).
Global climate models
Global climate models (GCMs) produce large-scale projections of the climate system,
representing the physical processes that occur in the ocean, atmosphere, land surface and
cryosphere (Carter et al., 1996). GCMs project simulations of climate processes using a
three-dimensional grid over the Earth. These simulations can respond to increases in
greenhouse gas concentrations, such as CO2, to reflect changes in the climate.
GCMs are commonly used for climate change scenarios because they are generally
consistent with the criteria for “climate impacts and adaptation research proposed by the
Intergovernmental Panel on Climate change (IPCC) Task Group on data and Scenario
Support for Impact and Climate Assessment (IPCC-TGICA)” (Environment Canada,
21
“Constructing Scenarios”, 2007). GCMs may follow criteria listed in one of IPCC’s
assessment reports: Second assessment report (IS92a experiment), third assessment report
(TAR), or fourth assessment report (AR4) (Environment Canada, “Constructing
Scenarios”, 2007).
There are different types of climate change scenarios that concentrate on different
characteristics. A1 and B1 scenarios are more global and show “a more integrated
world”, while A2 and B2 scenarios are more regional and show “a more divided world”
(Carter et al., 1996). A1 scenarios emphasize rapid economic growth and human wealth,
A2 scenarios emphasize moderate economic growth and a higher population growth rate,
B1 scenarios emphasize a rapid change in economic structure and cleaner technologies,
and B2 scenarios emphasize sustainability and a more ecologically friendly world (Carter
et al., 1996; and Environment Canada, “Constructing Scenarios”, 2007).
Regional climate models
Climate change scenarios can also be produced using regional climate models. One of the
advantages of using regional models is that they project scenarios with a higher
resolution and at a finer scale. Regional scenarios may be more realistic because they can
forecast plausible representations of climate processes, such as evaporation, cloud
formation, storm formation, precipitation and soil moisture (UQAM, 2007). Regional
models, such as the Canadian regional climate model (CRCM), are built upon data "from
physically-based models", and certain weather extremes may be better represented using
these models (Environment Canada, “Constructing Scenarios”, 2007).
22
The disadvantage of using regional climate models is that they are nested only in one
direction to a GCM. Therefore, they depend on the GCM’s inputs and provide no
feedback to the GCM.
Using climate change models
For the study, climate change projections were generated for three time periods, 2011-
2040, 2041-2070, and 2071-2100. This was done using two GCM AR42007 models,
CSIOMk3 and ECHAM5 OM, and one Canadian regional model, CRCM4.1.1. The
CSIROMk3 was created by Australia’s Commonwealth Scientific and Industrial
Research Organization (CSIRO), and the ECHAM5OM was created by the Max Planck
Institute fur Meterorologie. The CRCM was developed through the collaboration of
Université du Québec à Montréal (UQAM) and Canadian centre for climate modelling
and analysis (CCCma) (Environment Canada, “Constructing Scenarios”, 2007).
The climate model data were obtained from the Canadian climate change scenario
network (Environment Canada, “Constructing Scenarios”, 2007), and were chosen by
comparing their baseline projections (1961-1990) to the actual temperature averages of
Ouje-Bougoumou between 1963 and 1990. The models with the most similar results were
selected. Six scenarios, CRCM4.1.1 SR-A2, CSIOMk3 SR-A2, CSIOMk3 SR-B1,
ECHAM5 OM SR-A2, ECHAM5 OM SR-B1, and ECHAM5 OM SR-A1B, were then
used to forecast summer air temperature averages (June, July, August) for the three time
periods (refer to Table 2).
23
Research objective 3: To examine impacts of climate change on the study lakes.
Lac Obatogamau and Lac Chibougamau were examined to understand how climate
change would affect the water temperature of these lakes, and subsequently how these
changes would affect the spread of furunculosis in the fish population. To examine the
impacts of climate change, future water temperatures of the lakes were projected. In
assessing the current and future states of the lakes, lake dimensions and temperatures
were required. Lake dimensions were obtained from various sources as mentioned
previously. In terms of water temperature, there were no past or current records of water
temperatures for either lake, so potential water temperatures were produced using a
freshwater model called the Lake Model FLake (FLake) (Lake Model FLake, 2007).
FLake was also used to project future lake scenarios in response to climate change.
FLake and water temperature scenarios
FLake is a two-layer model that produces one-dimensional representations of a
freshwater lake. This model predicts the mixing conditions, vertical temperature
structure, and surface water temperatures of a lake at different time scales (Lake Model
FLake, 2007). The two layers in FLake represent the temperature profile of a lake. One
layer represents the temperature and depth of the mixed layer at a given time, and the
other layer represents the bottom temperature and structure of the stratified layer, i.e.
thermocline, at a given time (Kourzeneva and Braskavsky, 2004; and Lake Model FLake,
2007).
24
Incorporated into Flake are the parameters that formulate the temperature profile of a
lake, a formula to calculate the depth of the mixed layer using convective and non-
convective equations, a module that portrays the influence of the bottom sediment layer,
and a module that portrays snow-ice temperature profiles (Kourzeneva and Braskavsky,
2004). FLake also requires specific lake parameters to be inputted into the model so that
lake simulations reflect the individual lake. These parameters include depth, optical
parameters, fetch, and geographical coordinates of a lake (Lake Model FLake, 2007).
With such, the model can produce lake variables such as water temperature, friction
velocity pertaining to air and surface water, convective velocity, heat flux variables, short
wave and long wave radiation, mixed layer depth, stratification, ice thickness, snow
thickness, ice temperature and snow temperature (Lake Model FLake, 2007). However,
there is an online version of FLake that only outputs values for maximum surface water
temperature, minimum surface water temperature, and mean surface water temperature of
a lake (Lake Model FLake, 2007).
The online version of FLake uses meteorological datasets from the ‘Global Data
Assimilation System (GDAS) Archive’ “produced by the GDAS model output of
National Centers for Environmental Predictions (NCEP)” (Lake Model FLake, 2007;
NCEP, 2004). The dataset used in FLake starts from November 2005 to November 2006,
and it “consists of 3-hourly, global, 1 degree latitude longitude” data (Lake Model FLake,
2007; NCEP, 2004). As an alternative, the user can also use an offline version of FLake,
which allows the user to refine the model by specifying the parameters of a particular
lake.
25
Using FLake model
Two methods were employed to produce climate change scenarios of Lac Obatogamau
and Lac Chibougamau. The first method utilized the online version of FLake, and the
second method utilized the offline version. Using the online version, transposition
scenarios were projected to forecast water temperatures for three different scenarios of
climate change: warm, moderately warm, and very warm. Using the offline version,
synthetic scenarios were created to forecast water temperatures for three future time
periods with respect to climate change: 2011-2040, 2041-2070, and 2071-2100.
Validating FLake
To validate the FLake model, past research projects and studies were examined to see
whether FLake had produced plausible results.
Transposition scenarios
Climate transposition is a method to impose meteorological parameters from one area to
another, so that there would be a change in response to the new set of climate conditions
(Mortsh and Quinn, 1996). This is typically done by using climate data from another
location where climate conditions are warmer, and either drier or wetter (Parry and
Carter, 1998). Thus, the purpose of a transposition scenario is to project changes to
climate means and variability, and to assess the responses of various systems to these
changes (Mortsh and Quinn, 1996).
26
Online version of FLake
Using the online version of FLake (website: http://www.flake.igb-berlin.de/), current
water temperatures were produced for Lac Obatogamau and Lac Chibougamau. To
produce current temperatures of the lakes, geographical coordinates and lake depth were
inputted into FLake. To forecast future water temperatures of the lakes in response to
climate change, the transposition method was used. The lakes were transposed south by
1, 2 and 3 degrees, which were to represent three scenarios: warm, moderately warm, and
very warm, respectively. (Note: ‘Warm’ conditions represent conditions that are warmer
than the current climate conditions of Ouje-Bougoumou, and ‘moderately warm’
conditions represent conditions that are warmer than the ‘warm’ scenario, etc.)
FLake accepted latitudinal coordinates at values to the hundredths, but only accepted
whole integers for longitudinal coordinates. Therefore, the geographical coordinates,
49.6°N and 74°W, represented the current location of Lac Obatogamau, and the
geographical coordinates, 49.8°N and 74°W, represented the current location of Lac
Chibougamau.
Transposition A was selected to represent warm conditions, so Lac Obatogamau was
transposed to 48.6°N and 74°W, and Lac Chibougamau was transposed to 48.8°N and
74°W. Transposition B was selected to represent moderately warm conditions, thus Lac
Obatogamau was transposed to 47.6°N and 74°W, and Lac Chibougamau was transposed
to 47.8°N and 74°W. Transposition C was selected to represent very warm conditions,
27
thus Lac Obatogamau was transposed to 46.6°N and 74°W, and Lac Chibougamau was
transposed to 46.8°N and 74°W.
The output results from the online FLake model included a graph showing the fluctuation
in water temperatures over the year, and values for maximum surface water temperature,
minimum surface water temperature, mean surface water temperature, and the maximum
difference between surface water temperature and bottom water temperature.
Offline version of FLake
The offline version of FLake was used as the second method to forecast the current and
future water temperatures of Lac Obatogamau and Lac Chibougamau. In order to
successfully run the offline FLake model, an external climate dataset and configuration
files containing lake parameters were required. The offline ‘Precompiled Windows
version’ (command line version) was downloaded off the FLake website, and the set-up
method created by Georgiy Kirillin was followed (Lake Model FLake, 2007).
The climate dataset that was inputted into FLake was sourced from Environment Canada
(Environment Canada, Climate data, 2005). The database needed to include the following
variables; windspeed, solar radiation, cloud opacity, air humidity, and air temperature.
Climate data of the Ouje-Bougoumou region between 1984 and 1991 were obtained, but
data from 1991 were omitted due to missing values.
28
Records of hourly wind speed, hourly cloud opacity, and hourly relative humidity were
taken from the ‘Chibougamau-Chapais A’ weather station. Records of daily mean
temperature were taken from the Chapais-2 weather station, and records of global solar
radiation were taken from the Normandin CDA weather station. Solar radiation data were
taken from Normandin CDA because it was the closest station to have such records. The
coordinates of Normadin CDA are latitude 48.83°N and longitude 72.55°W, which is
0.74 degree south and 2.01 degree east of Ouje-Bougoumou. It is acknowledged that
because this station is 0.74 degree south of Ouje-Bougoumou, solar radiation values may
not portray the precise amount of solar radiation that Ouje-Bougoumou received;
nonetheless, such data would portray a similar amount. All climate data were gathered
through Environment Canada’s climate archives, and the data units were converted to fit
the requirements of the offline version of FLake. In particular, relative humidity was
converted into air humidity using the equations shown in Figure 3.
Figure 3. Equation to convert relative humidity into absolute humidity (NCAR, 2004).
es(t) = 6.112mb exp(17.67*t/(243.5+t))
rh = ae/es
es = total saturation rh = relative humidity ae = absolute humidity (air humidity)
29
A name list configuration file containing the parameters of the lakes was required. The
initial temperature, fetch, thermal activity, geographical coordinates, and transparency of
the lake were needed in order to produce water temperatures specific to the lake. Other
variables required included the time length of the simulation period, time step, height of
measurement instrumentations, and input and output file names.
Information concerning measurement heights was not available, so a similar lake with
available data was used as a guideline. Out of three similar test lakes provided in the
offline version of FLake (2007), Lake Heiligensee was chosen because it was shallow
and dimictic, and it had a latitude of 51°N.
The offline version of Flake outputs a set of data pertaining to the lake. The output results
were daily data of various lake variables, including surface water temperature, mean
water temperature and bottom water temperature. The output variable, mean temperature,
represented the average temperature of the entire temperature profile of the lake. The
maximum surface water temperature, summer mean surface temperature, summer mean
temperature of the water column, and summer mean bottom temperature of Lac
Obatogamau and Lac Chibougamau were calculated. Summer consisted of the months
between May and September, following the same principle that was used to calculate the
summer mean air temperature baseline of Ouje-Bougoumou. In addition, these months
were used because the completion of spring lake turnovers typically occurs right before
May, and the start of fall lake turnovers is typically after September. This was evident
when assessing the raw output data of surface water temperature of Lac Obatogamau and
30
Lac Chibougamau. Each year, the surface water temperature would begin to rise from
0oC at the start of May, and would decline to 0oC by the end of September. Between
October and April, the surface water temperature would remain at 0oC.
Synthetic scenarios
Creating synthetic scenarios is a technique to produce climate change scenarios by
adjusting values of a climate variable by a certain amount (Carter et al., 1996). Adjusting
the baseline temperature by chosen increments such as 1oC, 2oC etc., would represent
different magnitudes of future climate change. Using synthetic scenarios, future water
temperatures of Lac Obatogamau and Lac Chibougamau were produced to represent the
lake responses to climate change.
Three synthetic scenarios were created for each lake using the offline FLake model. The
climate dataset used in FLake was the baseline for the temperature adjustments.
Temperature increments were chosen according to what the climate change models
projected for three future time periods: 2011-2040, 2041-2070, and 2071-2100
(Environment Canada, “Scenarios: Introduction”, 2007; IPCC, 2001). Thus, the synthetic
scenarios represented these three time periods.
31
Research objective 4: To examine the impacts of climate change on the fish species of
Ouje-Bougoumou, and to assess the impacts of climate change on the spread of
furunculosis found in the fish species of Ouje-Bougoumou.
The climate change scenarios produced by the climate models and FLake were analyzed
to determine the potential impacts to the spread of furunculosis in fish species of Ouje-
Bougoumou. Details on the fish species located in the study lakes were gathered from
academic and grey literature.
Research objective 5 and 6: To collect and collate indigenous knowledge from the Ouje-
Bougoumou traditional territory for greater understanding on the prevalence of diseased
fish; and to determine the potential impacts on the Aboriginal community of Ouje-
Bougoumou as a result of the spread of furunculosis resulting from climate change.
These two objectives required the collection of TEK data of both past and present
findings.
Methods for traditional ecological knowledge collection
Past TEK findings
TEK data were required in order to understand the unknown facts that western science
cannot and does not provide. Past TEK findings were obtained through grey literature,
many of which include voiced concerns from community members on the issue of
diseased fish appearing in nearby lakes. One of these sources included a documentary
film called “Albert’s Fish Part 1”, where elder Albert Mianscum shared his knowledge
and experiences in dealing with the diseased fish (“Albert’s Fish Part 1”, 2001). Elder
32
Mianscum, now passed away, was a significant person in the community because he
brought forth many issues that needed attention to the western society, including the issue
of diseased fish. Thus, the roots of this study are largely connected to the concerns that
elder Mianscum voiced to the public.
Current TEK findings – Interviews
The collection of current TEK data included visiting the community and administering a
personal interview. Questions focused on the geographical and temporal aspects of
furunculosis, and the significance of this issue to the participant and their community.
The list of questions can be found in Figure 4, Appendix I.
A semi-directed interview was administered orally and recorded. The participant that
was appointed by the Band office of the Ouje-Bougoumou community had collected
information pertaining to the study from other community members beforehand. A
significant part of the interview was conducted on Lac Obatogamau so that the expert
field guide could show the research team the significant parts of the lake, while revealing
the history of events that may have affected the aquatic ecosystem of the lake.
Ethics
The Office of Research Ethics at the University of Toronto has approved the human
research ethics for the study. Participation was completely voluntary, and verbal
informed consent was acknowledged prior to participation.
33
CHAPTER 5: Results
The results of the study are presented in accordance to the relevant research objective
which all relate to the study’s research questions, what are the implications of climate
change on the spread of furunculosis found in fish species of Ouje-Bougoumou, and how
will this impact the health of the community?
Research objective 1: To investigate whether a temporal and spatial pattern exists with
the appearance of furunculosis over the past few decades.
a. Temporal analysis
Temperature analysis
Historical climate data show that the air summer mean temperature of Ouje-Bougoumou
has been increasing (see Figure 5), with a p-value of 0.02. Figure 5 shows that during the
mid 1990s (1994-1995), approximately when the onset of furunculosis was first noticed,
the linear regression slope intercepts at 12.8 °C.
34
Figure 5. Mean air temperature for May to September of Ouje-Bougoumou (1963-2001).
Past TEK findings
As indicated in the literature review section of the study, elder Albert Mianscum started
noticing changes in the fish from Lac Obatogamau and Lac Chibougamau during the mid
1990s (“Albert’s Fish Part 1”, 1999; and Travers, 1999). In a documentary called
“Albert’s Fish Part 1”, the film shows elder Mianscum catching fish in Lac Obatogamau
using a traditional method. It was later revealed that the all fish he caught were diseased.
35
TEK: Interview with an expert community member (related to temporal analysis)
One interview was conducted and recorded on June 27th 2008, with a community member
of Ouje-Bougoumou. Before the interview, this person had collected information from
other community members pertaining to the disfigured fish in Lac Obatogamau. As a
result, the answers that he provided included information from what others had told him.
The interviewee and other community members believe that past mining activities are the
cause to these changes in the fish. The respondent indicated that there have been 32
mines in the Chibougamau region, one of which was located across Lac Obatogamau.
After 30 years, you can still see some of the mess they left behind. – Interviewee.
b. Spatial data
Maps
A bathymetry map of Lac Chibougamau, which also shows Lac aux Dores, is shown in
Figure 6. A bathymetry map of Lac Opemisca is shown in Figure 7, Appendix I.
36
Figure 6. Bathymetry map of Lac Chibougamau and Lac aux Dores (Trakmaps, Lac Chibougamau, 2008).
Lac Obatogamau: Dimensions
Lac Obatogamau has a length of 30.3 km, a width of 8.4 km, a perimeter of 278.42 km,
an altitude of 371 m, a surface area of 7616 ha, and a basin catchment area of 67 858 ha
(Morin, 2008).
37
Lac Obatogamau: Bathymetry data
Depth measurements were taken at Lac Obatogamau at ten different points. Table 1
summarizes the data measured at each point, which include the geographical coordinates,
water depth, surface temperature, and elevation. The surface water temperature of Lac
Obatogamau was 18°C on June 27th 2008, which meets the preferred temperature of
furunculosis. The average water depth of all the points is 9.45 m, with a standard
deviation of 6.4m. The maximum water depth is 24 m. For the FLake model scenarios,
the depth of 9.45 m was used to represent the mean depth of Lac Obatogamau.
Table 1. Bathymetry data of Lac Obatogamau.
Point # Coordinates Depth (m) Surface temperature (°C) Elevation (ft)
1 49°38.24’N 74°31.219’W 5 18 1196
2 49°37.479’N 74°31.420’W 10 18 1186
3 49°37.455’N 74°31.311’W 9 18 1191
4 49°37.444’N 74°31.197’W 2 18 1179
5 49°37.291’N 74°31.208’W 2 18 1191
6 49°37.300’N 74°31.423’W 12 18 1181
7 49°37.156’N 74°31.508’W 13 18 1170
8 49°36.587’N 74°30.754’W 24 18 1198
9 49°35.881’N 74°30.275’W 10 18 1200
10 49°35.502’N 74°37.577’W 7.5 19 1200
38
Lac Chibougamau: Dimensions
From 1964 to 1969, Lac Chibougamau had a mean depth of 13.14 m recorded by
Environment Canada (Environment Canada, Water Survey, 2008). For the FLake model
scenarios, the depth of 13.14m was used to represent the mean depth of Lac Obatogamau.
Other dimensions of the lake include a length of 30.3 km, a width of 8.4 km, a perimeter
of 278.42 km, an altitude of 371 m, a surface area of 7616 ha, and a basin catchment area
of 67 858 ha (Morin, 2008).
Dimensions of nearby lakes
From 1964 to 1971, Lac aux Dores had a mean water depth of 10.07 m (Environment
Canada, Water Survey, 2008). For Lac Opemisca, it was suggested that the mean water
depth is approximately 10m (Cooper, 2008). These values are similar to the mean depths
of Lac Obatogamau and Lac Chibougamau, which verify the validity of the bathymetric
results.
TEK: Interview with an expert field guide/community member (related to spatial
analysis)
As indicated, the community member was able to bring the research team to the locations
where disfigured fish have been caught at Lac Obatogamau. The respondent indicated
that disfigured fish have been found in Lac aux Dores and Lac Chibougamau as well.
39
Research objective 2: To project plausible climate change scenarios.
Climate change scenario graphs
Projections of future annual mean temperature forecasted by CSIOMk3 SR-A2,
CSIOMk3 SR-B1, ECHAM5 OM SR-A2, ECHAM5 OM SR-B1, and ECHAM5 OM
SR-A1B, using the coordinates, latitude 49.55 and longitude –74.49, are shown in Figure
8. Projections of future summer mean temperature from 2011 to 2100 by the same
models are shown in Figure 9. Graphs of CRCM4.1.1 SR-A2 projections are not shown
due to a lack of detail and data.
Figure 8. Forecast of annual mean temperatures from 2011 to 2100, using the coordinates, latitude 49.55 and longitude –74.49.
40
Figure 9. Forecast of summer mean temperatures from 2011 to 2100, using the coordinates, latitude 49.55 and longitude –74.49. .
Climate change projections
Climate change projections forecast a constant rise in mean air temperatures. Table 2
summarizes and compares the annual and summer baseline projections to the actual past
temperature averages of Ouje-Bougoumou. Table 3 presents the forecasted summer mean
temperatures between 2011 and 2100.
When comparing the summer average baseline projections (1963-1990) to the actual
summer mean temperature of Ouje-Bougoumou, the A1B model (ECHAM5 OM SR-
A1B) had the closest summer average baseline projection to the actual past summer mean
temperature value, with a temperature difference of 0.1°C. The A2 models had a
temperature difference of 0.6°C, and the B1 models had a temperature difference of
1.0°C from the actual summer mean temperature of Ouje-Bougoumou.
41
Out of the three types of scenarios, the A1B scenario projected the greatest increase in
summer mean temperatures for each time period, and the B1 scenarios projected the
modest increase in summer mean temperatures for each time period. The A1B scenario
projected a summer mean temperature increase of 1.6°C by 2040, 2.9°C by 2070, and
4.4°C by 2100. The A2 scenarios projected on average, a summer mean temperature
increase of 1.2°C by 2040, 2.3°C by 2070, and 3.7°C by 2100. And the B1 scenarios
projected on average, a summer mean temperature increase of 0.4°C by 2040, 1.6°C by
2070, and 2.7°C by 2100. The Canadian regional model, CRCM4.1.1 SR-A2, produced
scenarios at a much higher resolution than the GCMs. However, there were insufficient
available data to produce scenarios for the time periods between 2011-2040 and 2071-
2100. The CRCM4.1.1 SR-A2 was expected to produce the most applicable and effective
results due to its resolution, but in fact this model was the least successful model for the
study.
Table 2. Comparing annual and summer baseline projections to actual annual and summer temperature averages (°C) of Ouje-Bougoumou (1963-1990).
Model
Annual avg. baseline
(1961-1990)
Difference from actual annual
average (1963-1990): 0.03°C
Summer avg. baseline
(1961-1990)
Difference from actual summer average (1963-
1990): 12.18°C
ECHAM5 OM SR-A1B -0.11 -0.14 12.31 0.13
CRCM4.1.1 SR-A2* -1.30 -1.33 11.85 -0.33 CSIOMk3 SR-A2 0.18 0.15 14.05 1.87
ECHAM5 OM SR-A2 -0.11 -0.14 12.31 0.13 Average (A2 models) -0.41 -0.44 12.74 0.56
CSIOMk3 SR-B1 0.18 0.15 14.05 1.87
ECHAM5 OM SR-B1 -0.11 -0.14 12.31 0.13 Average (B1 models) 0.04 0.004 13.18 0.997
42
Table 3. Comparing climate change projections to the projected summer baseline averages (°C).
Model
Summer avg. baseline
(1961-1990)
2011-2040
Difference from
summer avg.
baseline
2041-2070
Difference from
summer avg.
baseline
2071-2100
Difference from
summer avg.
baseline
ECHAM5 OM SR-A1B 12.31 13.87 1.56 15.23 2.92 16.71 4.4
CRCM4.1.1
SR-A2* 11.85 -- -- 14.88 3.03 -- --
CSIOMk3 SR-A2 14.05 14.44 0.39 15.36 1.31 16.7 2.65
ECHAM5 OM SR-A2 12.31 13.5 1.19 14.81 2.5 16.1 3.8
Average (A2 models) 12.74 13.96 1.22 15.01 2.28 16.4 3.66
CSIOMk3 SR-
B1 14.05 13.37 -0.68 14.23 0.18 14.97 0.93
ECHAM5 OM SR-B1 12.31 13.87 1.56 15.23 2.92 16.71 4.4
Average (B1 models) 13.18 13.62 0.44 14.73 1.55 15.84 2.66
*There were insufficient data for CRCM4.1.1 SR-A2 to produce projections for the time periods of 2011-2040 and 2071-2100.
Research objective 3: To examine the impacts of climate change on the study lakes
Validation of FLake model
The German science foundation (DFG) funded a research project to test the reliability of
the FLake model (Lake Model FLake, 2007). Test runs were created for three lakes -the
Heiligensee Lake, the Mueggelsee Lake and the Stechlinsee Lake, all of which were
located in the same climatic zone in Germany (Lake Model FLake, 2007). The purpose of
43
the test runs was to show whether FLake could produce accurate results pertaining to
each lake individually, even if they all had the same climatic parameters. Results showed
that Flake had simulated different temperature and mixing conditions for each lake,
which were primarily influenced by the different morphologies of the lakes (Lake Model
FLake, 2007). These projections prove that FLake is capable of producing reliable
simulations of the temperature and mixing regime of different lakes.
Online FLake model results: Lake temperature transposition scenarios
The current maximum surface water temperature for Lac Obatogamau is 25°C, which
would typically occur on July 16. For Lac Chibougamau, the current maximum surface
water temperature is 24.5°C, which would typically occur on August 2. These scenarios
are illustrated in Figure 10 and 11, respectively. The predicted change in maximum
surface water temperature from current climate conditions to warm, moderately warm,
and very warm climate conditions for Lac Obatogamau and Lac Chibougamau are
summarized in Table 4 and Table 5, respectively.
Lac Obatogamau is projected to have a greater increase in maximum surface water
temperature than Lac Chibougamau for each transposition scenario. For Lac
Obatogamau, comparing the transposition scenarios to the current scenario, the warm
scenario (transposition A) projected an increase of 1.1°C, the moderately warm scenario
(transposition B) projected an increase of 2°C, and the very warm scenario (transposition
C) projected an increase of 3°C. For Lac Chibougamau, comparing the transposition
scenarios to the current scenario, the warm scenario (transposition A) projected an
44
increase of 1.1°C, the moderately warm scenario (transposition B) projected an increase
of 1.4°C, and the very warm scenario (transposition C) projected an increase of 2.7°C.
Summaries of the projected minimum surface water temperature, maximum surface water
temperature, mean surface water temperature, maximum difference between surface and
bottom water temperature, and bottom water temperature of each transposition scenario
for Lac Obatogamou and Lac Chibougamau are shown in Table 6 and Table 7,
respectively.
Figure 10. Current maximum surface and bottom water temperatures of Lac Obatogamau produced with FLake.
45
Figure 11. Current maximum surface and bottom water temperature of Lac Chibougamau produced with FLake. Table 4. Maximum surface water temperature of Lac Obatogamou.
Table 5. Maximum surface water temperature of Lac Chibougamau.
Maximum surface temperature for Lac Obatogamau
Time period Value Date Change in
Temperature (from current baseline)
Current 25.00°C Jul 16 -- Transposition A: Warm 26.13°C Aug 2 1.13°C Transposition B: Moderately warm 26.98°C Aug 2 1.98°C Transposition C: Very warm 27.95°C Aug 2 2.95°C
Maximum surface temperature for Lac Chibougamau
Time period Value Date
Change in Temperature (from
current baseline)
Current 24.46°C Jul 16 -- Transposition A: Warm 25.55°C Aug 2 1.09°C Transposition B: Moderately warm 25.84°C Aug 2 1.38°C Transposition C: Very warm 27.11°C Aug 2 2.65°C
46
Current time: Lac Obatogamau Variable Value Date Minimum surface temperature 0 Jan 1 Maximum surface temperature 25 Jul 16 Mean surface temperature 8.2 Maximum difference between surface and bottom temperatures 21 Jul 16 Bottom temperature 4
Transposition A: warm
Minimum surface temperature 0 Jan 1 Maximum surface temperature 26.1 Aug 2 Mean surface temperature 8.7 Maximum difference between surface and bottom temperatures 22.2 Aug 2 Bottom temperature 4 Transposition B: Moderately warm Minimum surface temperature 0 Jan 1 Maximum surface temperature 26.98 Aug 2 Mean surface temperature 8.6 Maximum difference between surface and bottom temperatures 22.6 Aug 2 Bottom temperature 4.2 Transposition C: Very warm Minimum surface temperature 0 Jan 1 Maximum surface temperature 27.95 Aug 2 Mean surface temperature 9.6 Maximum difference between surface and bottom temperatures 21.4 Aug 2 Bottom temperature 6.6
47
Table 7. Lac Chibougamau water temperature (°C) transposition scenarios.
Current time: Lac Chibougamau Variable Value Date Minimum surface temperature 0 Jan 1 Maximum surface temperature 24.5 Aug 2 Mean surface temperature 8.2 Maximum difference between surface and bottom temperatures 20.5 Aug 2 Bottom temperature 4 Transposition A: Warm Minimum surface temperature 0 Jan 1 Maximum surface temperature 25.6 Aug 2 Mean surface temperature 8.6 Maximum difference between surface and bottom temperatures 20.4 Aug 2 Bottom temperature 5.1 Transposition B: Moderately warm Minimum surface temperature 0 Jan 1 Maximum surface temperature 25.8 Aug 2 Mean surface temperature 8.6 Maximum difference between surface and bottom temperatures 21.9 Aug 2 Bottom temperature 4 Transposition C: Very warm Minimum surface temperature 0 Jan 1 Maximum surface temperature 27.1 Aug 2 Mean surface temperature 9.5 Maximum difference between surface and bottom temperatures 21.3 Jul 18 Bottom temperature 5.8
Offline FLake model results: Synthetic scenarios
The synthetic scenarios were created based on the climate change projections formulated
by the climate models. The climate change projections produced by the A2 scenarios
were chosen as the guideline in formulating the incremental values. The A2 scenarios
were chosen as opposed to the B1 scenarios and the A1B scenarios because the A2
48
scenarios projected values of increased summer mean air temperature that were in the
median of the values projected by the other two scenarios for each time period: 2011-
2040, 2041-2070, and 2071-2100. As indicated earlier, the A2 scenarios projected on
average, a summer mean temperature increase of 1.2°C by 2040, 2.3°C by 2070, and
3.7°C by 2100. Thus, air temperature values in the offline FLake external climate dataset
were increased for the three time periods. For the time period between 2011-2040, air
temperature values were increased by 1.2°C; between 2041-2070, air temperature values
increased by 2.3°C; and between 2071-2100, air temperature values increased by 3.7°C.
Configuration files
The name-list files, for Lac Obatogamau and Lac Chibougamau, used in FLake are
presented in Table 8 and Table 9 in Appendix I.
Output results
Throughout 2011 to 2100, the offline FLake scenarios indicate that Lac Obatogamau will
be warmer than Lac Chibougamau in maximum surface water temperature, summer
bottom water temperature and summer mean water temperature. Also, Lac Obatogamau
is projected to be warmer than Lac Chibougamau in summer mean surface water
temperature from 2011 to 2040, and 2071 to 2100; but between 2041 and 2071, Lac
Chibougamau is predicted to have a warmer summer mean surface water temperature of
16.6°C, while Lac Obatogamau is predicted to have a summer mean surface water
temperature of 15.9°C. The offline FLake scenario results of maximum surface water
temperature and summer mean surface water temperature for Lac Obatogamau and Lac
49
Chibougamau are summarized in Table 10. Results for summer mean bottom water
temperature and summer mean water temperature for the two lakes are summarized in
Table 11.
Table 10. Maximum and Summer mean surface water temperatures (°C ) of offline FLake scenarios
Lac Obatogamau (offline)
Max. surface temperature
Increase in max. surface
temperature from current time
Summer mean surface temperature
(May – Sept)
(Increase in mean surface temperature from current
time)
Current (1983-1991) 22.87 - 15.2 -
2011-2040 23.5 0.63 15.87 0.67 2041-2070 23.88 1.01 17.47 1.27 2071-2100 24.52 1.65 18.4 2.2
Lac Chibougamau (offline)
Max. surface temperature
(Increase in max. surface
temperature from current time)
Summer mean surface temperature
(May – Sept)
(Increase in mean surface temperature from current
time)
Current (1983-1991) 22.59 - 15.05 -
2011-2040 23.12 0.53 16.58 1.53 2041-2070 23.81 1.22 17.3 2.25 2071-2100 24.5 1.91 18.1 3.05
50
Table 11. Summer mean water temperature and bottom mean water temperature (°C ) of offline FLake scenarios.
Lac Obatogamau (offline)
Summer mean
bottom temperature
Summer mean temperature
(May – Sept)
Increase in summer mean temp. from current time
Current (1983-1991) 14.04 15.5 - 2011-2040 14.19 15.87 0.37 2041-2070 15.05 16.43 0.93 2071-2100 15.8 17.4 2.05
Lac Chibougamau (offline)
Summer mean
bottom temperature
Summer mean temperature
(May – Sept)
Increase in summer mean temp. from current time
Current (1983-1991) 9.37 15.01 - 2011-2040 10.31 15.04 0.03 2041-2070 11.3 15.6 0.59 2071-2100 11.5 16.5 1.49
Summary of climate change projections
For the Ouje-Bougoumou region, the A2 models project a current summer mean air
temperature of 12.74°C. For Lac Obatogamau and Lac Chibougamau, the offline FLake
model projects current summer mean water temperatures of 15.5°C and 15.01°C,
respectively. The offline FLake model projects current maximum surface water
temperatures of 22.87°C and 22.59°C, for Lac Obatogamau and Lac Chibougamau
respectively; while the online FLake model projects maximum surface water
temperatures of 25°C and 24.46°C, for Lac Obatogamau and Lac Chibougamau
respectively.
51
For the Ouje-Bougoumou region, the A2 climate change scenarios project future summer
mean air temperatures of 14°C for 2011-2040, 15°C for 2041-2070, and 16.4°C for 2071-
2100. For Lac Obatogamau and Lac Chibougamau respectively, the offline FLake model
projects summer mean water temperatures of 15.9°C and 15°C for 2011-2040, 16.4°C
and 15.6°C for 2041-2070, and 17.4°C and 16.5°C for 2071-2100. Table 12 summarizes
the climate change projections of summer mean air temperature and summer mean water
temperature produced by the A2 scenarios and the offline FLake model.
In terms of maximum surface water temperatures for Lac Obatogamau and Lac
Chibougamau respectively, the offline FLake models projects temperature values of
23.5°C and 23.1°C for 2011-2040, 23.9°C and 23.8°C for 2041-2070, and 24.52°C and
24.5°C for 2071-2100. In addition, in a scenario where climate conditions are warm for
Lac Obatogamau and Lac Chibougamau, the online FLake model projects maximum
surface water temperature values of the lakes to be 26.1°C and 25.6°C respectively. If
climate conditions of Lac Obatogamau and Lac Chibougamau were to be moderately
warm, the online FLake model projects maximum surface water temperature values to be
26.98°C and 25.8°C respectively. And if climate conditions of Lac Obatogamau and Lac
Chibougamau were to be very warm, the online FLake model projects maximum surface
water temperature values to be 27.95°C and 27.1°C respectively.
52
Table 12. Summary of climate change projections of summer mean air and surface water temperature (°C ) for A2 scenarios and offline FLake scenarios.
Change in summer mean temperature Time period Current 2011-2040 2041-2070 2071-2100 A2 model 12.74 13.96 15.02 16.4 Difference from baseline 1.2 2.3 3.7
Lac Obatogamau
offline 15.5 15.87 16.43 17.4
Difference from current time 0.37 0.93 2.05
Lac Chibougamau offline 15.01 15.04 15.6 16.5
Difference from current time 0.03 1.59 1.49 Research objective 4. To examine the impacts of climate change on the fish species of
Ouje-Bougoumou, and to assess the impacts of climate change on the spread of
furunculosis found in the fish species of Ouje-Bougoumou.
The fish species of the Ouje-Bougoumou region include walleye, lake trout, river
redhorse, white sucker, brook trout, lake whitefish, northern pike, and burbot (MNRF,
2007; and Tsuji et al., 2007). However, it is unknown whether all these species can be
found in Lac Obatogamou and Lac Chibougamau. It has only been confirmed that the
walleye and sucker can be found in Lac Obatogamou, as they were the two species that
tested positive for furunculosis (Penn, 2000). Information on each species is provided in
Table 13. The temperature ranges listed in Table 13 are not indicative of the minimum or
maximum lethal temperature limit unless suggested; rather, these are the temperature
ranges that would allow for optimal growth of the fish. Therefore, these fish species still
survive the winter season when lake temperatures drop to a minimum of 4°C
(Department of Natural Resources, 2007; Eli, 2007; MDC, 2008; Petrosky and
Magnuson, 1973; and Ranta, 2004).
53
Table 13. Information on the fish species located in Ouje Bougoumou.
Common Name
Family, Order, Class Environment Depth
Range Climate Temp. Range Species at Risk References
Walleye Percidae,
Perciformes ,Actinopterygii
Demersal; potamodromous;
freshwater; brackish
Up to 27 m Temperate; 55°N - 35°N 0-29°C None
(Eli, 2007; and Stickney,
1992)
Lake trout Salmonidae,
Salmoniformes, Actinopterygii
Benthopelagic; non-migratory;
freshwater 18-53m Temperate;
65°N - 43°S
6–13°C Can survive in winter
season. None
(Eli, 2007; Ranta, 2004; and Snucins and Gunn,
1995)
River redhorse
Catostomidae, Cypriniformes, Actinopterygii
Demersal; freshwater
Prefers shallow,
exact depth range
unknown
Temperate; 47°N - 31°N
10-24°C. Juvenile deformity: +25 °C
Thermal maxima: 35-37°C
Can survive in winter season.
Special concern. Threats:
pollution, siltation, natural dams, man-made
dams, habitat degradation
(COSEWIC, 2006; Eli, 2007; and
MDC, 2008)
White sucker Catostomidae, Cypriniformes, Actinopterygii
Demersal; catadromous;
freshwater
Exact depth unknown
Temperate; 68°N - 34°N 0 – 29°C None (Eli, 2007)
Brook trout Salmonidae,
Salmoniformes, Actinopterygii
Demersal; anadromous; freshwater;
brackish; marine
15 – 27 m Temperate;
65°N - 30°N, 95°W - 52°W
0 – 25°C None (Eli, 2007)
Lake whitefish
Salmonidae, Salmoniformes, Actinopterygii
Demersal; anadromous; freshwater;
brackish; marine
18 – 128 m Temperate; 71°N - 40°N
11.9-17.0º C.
Can survive in winter season.
None
(Department of Natural Resources, 2007; Eli,
2007; Lasenby et al.,
2001)
Northern pike Esocidae,
Esociformes, Actinopterygii
Demersal; potamodromous;
freshwater; brackish
0-30m
Temperate; 74°N - 36°N,
167°W - 180°E
10 – 28°C Can survive in waters
2.5°C None
(Eli, 2007; and Petrosky
and Magnuson,
1973)
Burbot Lotidae,
Gadiformes, Actinopterygii
Demersal; potamodromous;
freshwater; brackish
1-700m
Temperate; 78°N - 40°N,
180°W - 180°E
4 – 18°C None (Eli, 2007)
54
Research objective 5 and 6: To collect and collate indigenous knowledge from the Ouje-
Bougoumou traditional territory for greater understanding on prevalence of diseased fish,
and to determine the potential impacts on the Aboriginal community of Ouje-Bougoumou
as a result of the spread of furunculosis resulting from climate change.
Past TEK findings
In the documentary, “Albert’s Fish Part 1”, Albert Mianscum indicated that he has seen
an increase in the number of diseased fish found in the lakes. The elder showed that all
the fish he caught during the time of filming were affected by sores and lesions. Elder
Mianscum expressed his concern about the prevalence of this disease because fish was a
main food source for him and his family (“Albert’s Fish Part 1”, 1999; and Travers,
1999).
TEK: Interview with an expert field guide/ community member
The community member described the physical changes of the fish. The diseased fish
would have bulging eyes, red sores, and abnormal sizes for certain parts of the fish.
You got to see the fish, how ugly they look. Their eyes are popping out. Red, red eyeballs. -Interviewee.
The interviewee also said that community members like eating fish, but when the fish are
caught disfigured, they can only be discarded.
They like eating fish. I know that. My friends from Chibougamau will ask me, did you go fishing? Can I have a few? – Interviewee.
55
During the time spent on Lac Obatogamau, there were various times when fish were seen
splashing around. The interviewee indicated that these fish were most likely walleyes.
CHAPTER 6: Discussion
It is plausible that climate change has had an influence on the spread of the furunculosis.
The results of the study show that signs of climate change in Ouje-Bougoumou are
evident, and that furunculosis has been perpetually occurring. This chapter discusses the
significance of the results.
Research objective 1. To investigate whether a spatial and temporal pattern exists with
the appearance of furunculosis over the past few decades.
Timeline of temperature and incidences of furunculosis
A temporal pattern has been shown between the rise in mean air temperatures and the
onset of the disease. This pattern was found by examining past climate data, climate
change projections, water temperatures and the nature of the disease. The ideal water
temperature for furunculosis to occur is 17°C, with a range between 12.8 and 21.1°C.
Correlating FLake projections to climate change projections (A2 scenarios), when the
summer mean air temperature of Ouje-Bougoumou is 12.74°C, water temperatures of Lac
Obatogamau and Lac Chibougamau would reach a summer mean water temperature of
15.5°C and 15.01°C, respectively (Table 10). Also, referring to Figure 2 –a graph of the
past summer mean air temperatures of Ouje-Bougoumou, the graph shows that the
56
summer mean air temperature reached 12.75°C in the mid-1990s as indicated by the
linear regression curve. This would mean that summer mean water temperatures of Lac
Obatogamau and Lac Chibougamau would have been at least 15°C at that time. Thus,
water temperatures of these lakes around the mid-1990s would have been optimal for the
presence of this bacterium. This time period is significant because it was approximately
the time when Elder Albert Mianscum first started noticing the changes in the fish
appearances. This suggests a relation between the prevalence of the disease and warmer
temperatures, i.e. climate change. Presently, the temperature of Lac Obatogamau is still
suitable for the presence of furunculosis, as the surface temperature was measured at
18°C on June 27th 2008. The surface temperature was not measured for Lac
Chibougamau, but results are expected to be similar.
Research objectives 2, 3 and 4: To project plausible climate change scenarios, and to
examine the impacts of climate change on the study lakes, to the fish species of Ouje-
Bougoumou, and to the spread of furunculosis in fish species.
Climate change scenarios between 2011 and 2100
From 2011 to 2100, the offline FLake scenarios predicted that the summer mean water
temperature for Lac Obatogamau and Lac Chibougamau would rise from 15.5°C and
15.01°C to 17.4°C and 16.5°C, respectively. These temperature ranges are within the
optimal range for the occurrence of furunculosis, which strongly indicates that the
preferred thermal conditions for the disease will remain present in the lakes throughout
the 21st century. The summer mean bottom temperatures for Lac Obatogamau met the
minimum preferred temperature of furunculosis (12.8°C) for each predicted time period.
57
Since the entire thermocline of Lac Obatogamau met the optimal temperature range of
furunculosis, this suggests that at any depth, fish may be infected with A. salmonicida.
For Lac Chibougamau however, the summer mean bottom temperatures do not meet the
optimal temperature range at any point in time by 2100. Thus, unlike Lac Obatogamau,
fish in the deeper parts of Lac Chibougamau may be less susceptible to the disease.
The maximum surface water temperatures are much higher than summer mean water
temperatures of the lakes. Results show that maximum surface water temperatures of Lac
Obatogamau and Lac Chibougamau will increase approximately by 2°C by 2100: from
22.9°C and 22.6°C to 24.52°C and 24.5°C, respectively. From a different perspective
using transposition scenarios, if climate conditions of Lac Obatogamau and Lac
Chibougamau went from warm to very warm, maximum surface water temperatures
would increase from 26.1°C and 25.6°C to 27.95°C and 27.1°C, respectively. All the
temperature values that represent maximum surface water temperature exceed the highest
ideal temperature point for the infection of A. salmonicida to most fish species of Ouje-
Bougoumou. It also exceeds the highest ideal temperature point for some of the fish
species themselves. This suggests that the fish will then be likely located away from the
surface waters of Lac Obatogamau and Lac Chibougamau, and that A. salmonicida may
actually have a broader preferred temperature range than originally believed.
Climate change and fish species of Ouje-Bougoumou
Climate change scenarios indicate that water temperatures will rise as a result of climate
change. As indicated by Perry et al. (2004), an increase in water temperatures above
19°C may increase the stress response of some fish species. To define a stress response,
58
when a fish is found in a threatening situation, they respond by temporarily adjusting
their metabolism to a catabolic state, and altering their respiratory and cardiovascular
system in hopes to successfully overcome the danger (Schachte, 2002). Situations such as
pollution and poor habitat conditions have lead to chronic stress in fish (Schachte, 2002).
If a fish is continually stressed, their ability to adapt to threatening situations may be
compromised, inflicting greater damage to the health of the fish -including the ability to
defend against disease (Schachte, 2002). The continual rise in air and water temperatures
by 2100 may cause continual stress to the fish population, putting their health at greater
risk of disease.
Much warmer water temperatures may induce greater stress upon some fish (Reist,
Dempson et al., 2006), which may potentially allow for more serious cases of a disease to
occur (Schachte, 2002). Currently, most incidences of furunculosis in Ouje-Bougoumou
are chronic, but under the influence of climate change, it is suggested that acute cases
may begin to occur more frequently. Acute cases are fatal if left untreated (Schachte,
2002), and unfortunately, vaccines are not intended for wild fish species.
Though climate change affects the entire fish population, the impacts differ on various
types of fish species in Lac Obatogamau and Lac Chibougamau. This study uses a
theoretical approach with an assumption that all the aforementioned species exist in both
lakes (Table 13). As temperatures continue to rise, furunculosis will continue to afflict
more fish. In particular, lake trout, river redhorse, walleye, and sucker may be more
vulnerable to furunculosis.
59
Lake trout
The lake trout fish species may be at a greater risk of contracting furunculosis because of
its limited environmental conditions. As shown in Table 13, the lake trout is non-
migratory and its ideal habitat temperature range is only from 6°C to 13°C (Eli, 2007).
This low temperature range can easily be exceeded more frequently as climate change
occurs, causing more stress on the fish. Also, because this species is non-migratory, the
lake trout may not be inclined to relocate to cooler regions. The combination of rising
water temperatures and a limited habitat range will put the lake trout population at a
greater risk of furunculosis, or even worse, to complete eradication.
River redhorse
The river redhorse may be at greater risk to extirpation when affected by furunculosis
because it is already listed as a species of special concern in Canada, typically found in
Ontario and Quebec (COSEWIC, 2006). Threats to the river redhorse species include
pollution, siltation, natural and man-made dams that affect water flow, and habitat
degradation (Table 13; COSEWIC, 2006). Thus, pollution and waste from past mining
activities may affect the health of the fish, making it more susceptible to disease.
Unfortunately, plans to recover the species or protect it from greater risks are limited due
to a lack of knowledge in population size, distribution, factors that affect its abundance
and distribution, and the ecology of the species (Reid et al., 2008).
60
Walleye and sucker
The ideal habitat temperature range for the walleye and sucker fish species is up to 29 °C
(Eli, 2007). This indicates that even if climate conditions become very warm, where
maximum surface water temperatures may increase to 27.95°C and 27.11°C respectively,
these two species could still remain at the surface waters of Lac Obatogamau and Lac
Chibougamau. The walleye and sucker have the broadest habitat temperature ranges, yet
they were the ones that tested positive for furunculosis. This indicates that these two
types of fish may be physiologically weaker and more susceptible to disease regardless of
their higher tolerance to warmer temperatures. In addition, other walleyes and suckers
may be more susceptible to the disease since they are more likely to be in the same
regions with their own kind –including those infected with furunculosis. During the TEK
interview, the respondent suggested that walleyes were still present at Lac Obatogamau.
This indicates that the walleye population is still surviving despite the disease. Even
though this fish was identified as one of the types infected with furunculosis, the disease
has not eradicated the whole population. This suggests that the diseased walleyes may not
necessarily be infected with serious cases of furunculosis, or that there may be a large
walleye population in the lakes.
Furunculosis temperature range
An important aspect to the study is the temperature range of furunculosis. It has been
suggested that A. salmonicida has a broader preferred temperature range than 12.8 to
21.1°C (Schachte, 2002). Since the bacterium is affecting walleye and sucker fish, whose
temperature range can be up to 29°C (Eli, 2007), the bacterium’s preferred temperature
61
may be significantly above 21.1 °C. Furthermore, the temperature tolerance zone and
survival rate of A. salmonicida may be primarily dictated by the survival of its carriers.
Thus, despite water temperatures, the bacterium may still survive as long as its host is
alive.
Fish located in different depths of the lakes
Along with temperature preferences, fish species may also prefer different depth
locations in Lac Obatogamau and Lac Chibougamau. This has a significant influence on
whether a particular fish species is at a greater risk of infection. If the infected walleye
and sucker species remain close to the surface, only those in close proximity to the
diseased fish will be at a greater risk to contracting the disease.
A theoretical situation is described to show how different species may be at a greater risk
of infection due to their depth location in the lakes. When a lake reaches its maximum
surface water temperature, there is a clear thermocline in the waterbody (Heidorn, 2003).
For example, if Lac Obatogamau had an equally stratified thermocline, and all seven fish
species are located at the depth of their temperature range, fish closer to the surface will
be more susceptible to furunculosis than those away from the surface. Refer to Figure 12
for a theoretical scenario of where fish species would be located in the depths of Lac
Obatogamau in current time, and refer to Figure 13 for a theoretical scenario of where
fish species would be located in Lac Obatogamau if climate conditions were very warm.
The bottom temperatures are calculated using the ‘maximum difference between surface
and bottom temperature’ values derived from the online version of FLake, and the surface
62
water temperatures are based on the maximum surface water temperatures of Lac
Obatogamau also derived from the online version of FLake.
As shown in Table 13, walleyes can survive in lakes with water temperatures ranging
from 0°C to 29°C, lake trout can survive in water temperatures from 6°C to 13°C, river
redhorse can survive in water temperatures from 10 to 24°C, white suckers can survive in
water temperatures from 0°C to 29°C, lake whitefish can survive in water temperatures
from 11.9°C to 17°C, pikes can survive in water temperatures from 10°C to 28°C, and
burbots can survive in water temperatures from 4°C to 18°C. With this information, if
fish species were located in water depths reflecting their optimal temperature range, then
the species, walleye, white sucker, brook trout, river redhorse, and northern pike, would
be at a higher risk of contracting the disease from the diseased fish (i.e. infected walleyes
and white suckers). As shown in Figure 12, the lake surface is more crowded with
various species. Fish in highly populated areas are more prone to stress and transmission
of disease, which means that these five species are at a greater risk to furunculosis
(Schachte, 2002).
The lake trout is furthest away from the surface, and so even though this species has
greater habitat limitations, its need for cooler waters actually separates the fish from the
infected zone. If climate conditions become very warm, the rise in temperatures may
cause the lake trout, burbot, and lake whitefish to move even deeper in the waters, and
thus further away from the fish infected with furunculosis. On another note, since the
walleye and sucker have an ideal habitat temperature that ranges from 0°C to 29°C,
63
diseased fish can still migrate into the deeps areas of a lake and infect other species.
Ultimately, once a fish is afflicted with furunculosis, the rest of the fish population in the
same lake will be at risk to disease.
Figure 12. Theoretical current location of fish species in Lac Obatogamou.
25°C 20.8°C 16.6°C 12.4°C 8.2°C 3.99°C
Depth =9.45m
walleye, white sucker, brook trout, river redhorse, northern pike
Lake trout
Lake whitefish
Burbot
64
Figure 13. Theoretical location of fish species in Lake Obatogamou in very warm climate conditions. Impacts of climate change on fish species
The climate change scenarios show that water temperature averages will rise, and this
will have many impacts on the fish population itself. The effects of climate change will
alter the oxygen levels of the lakes, and the changes in seasonal time length will affect
the nature of the fish.
Changes in seasonal time length
Seasonal time length changes may affect the development of fish (Bowden et al., 2007).
Because of climate change, warmer temperatures will extend the time length of spring-
27.95°C 23.67°C 19.39°C 15.11°C 10.83°C 6.55°C
Walleye, white sucker, northern pike
Lake whitefish
Burbot
River Redhorse, Brook trout
Lake trout
Depth = 9.45 m
65
summer seasons in Ouje-Bougoumou. This allows spawning to occur earlier in the
season, and a longer growing season will allow for higher growth rates and survival rates
among the fish population (Bowden et al., 2007). But a longer growing season will also
permit outbreaks of furunculosis to occur earlier in the year, possibly putting younger fish
at a greater risk to disease.
A “longer ice free season” will increase the time that the lakes are stratified, which may
lead to lower concentrations of oxygen in the hypolimnion of the lake (Rouse, et al.,
1997). Lower oxygen levels can increase greater stress to fish, particularly to coldwater
fish species (Rouse, et al., 1997). Low concentrations of oxygen also restrict how deep a
fish can swim in a lake, which limit the ability of fish to cope with the changes in water
temperature.
Changes in dissolved oxygen levels of a lake
As indicated, the amount of dissolved oxygen in a lake can restrict fish from going deeper
in the lake. The concentration of dissolved oxygen is pertinent to the survival of fish.
There are higher concentrations of dissolved oxygen at the surface of the waters because
of incoming light; hence, more photosynthesis. Therefore, at the hypolimnion of a lake,
i.e. the bottom of the lake, there are low concentrations of dissolved oxygen (WOW,
2004). However, when the water surface becomes too warm, the capacity for oxygen also
declines (WOW, 2004). The oxygen level in a lake restricts where most fish species can
swim. With increasing water temperatures, fish may soon find themselves within a
restricted habitable area; a place where it is cool enough, but still with enough dissolved
66
oxygen. If climate conditions become very warm, this can be deadly to the entire fish
population of the lakes. Particularly for the lake trout, since it has a lower ideal habitat
temperature range, it would be inclined to move to cooler, deeper locations in a lake. But
if there is a lack of dissolved oxygen in the lower parts of the basin, the fate of this
species may be fatal.
This unfortunate situation can be applicable to the fish species in Lac Obatogamau and
Lac Chibougamau. The rise in temperatures may cause stress to some of the fish, making
them less resistant to furunculosis (Schachte, 2002). If furunculosis does not kill or
seriously injure the fish, then potentially either the rise in water temperatures or the lack
of dissolved oxygen will. A combination of all three factors, furunculosis, high
temperatures, and lack of dissolved oxygen, may be deleterious to the entire fish
population of the lakes.
Research objective 5: To collect and collate indigenous knowledge from the Ouje-
Bougoumou traditional territory for greater understanding on the prevalence of diseased
fish.
TEK analysis
The information provided by the community is highly valuable for the study since it
reveals firsthand experiences in dealing with the disfigured fish. The interviewee was
able to describe the changes of the fish, which included red, bulging eyes. Such
description can be attributed to furunculosis, but the respondent could not confirm
whether furunculosis was the disease that affected the fish.
67
Ouje-Bougoumou community members have strong thoughts about nearby mining
activities. After interviewing the community member, it cannot be ignored that past
mining activities has had a significant impact on the environment of the community. It is
hard to dispute the certainty that mining contaminants may have caused many
repercussions to the environment, including some of the physical changes to the fish.
With such knowledge, mining activities are suggested to be a significant contributor to
the stress that may have led to the prevalence of furunculosis. The significance of past
mining activities is discussed in further detail.
The significance of past mining activities
There has been speculation that the prevalence of furunculosis was caused by local
mining activities in the past. However, there is no direct causal relationship between A.
salmonicida and mining activities (Bermoth et al., 1997); this is not to say that mining
activities did not have an impact on the fish species. Due to past incidences where mine
tailings had accidentally fallen into nearby streams, many local community members
were concerned that connecting waterbodies had been contaminated (Penn, 2000). This
led to the belief that the mining caused the disease. But, as Penn, a Cree regional
authority, says, “it is fair to say that [there] is no firm evidence that effectively links
furunculosis to mining”. Nevertheless, there is the argument from the community that
past mining activities led to a significant negative impact on the health of the fish in Lac
Obatogamau and Lac Chibougamau, making them more susceptible to contracting a
disease.
68
Another reason why mining may not have been the sole factor that led to the onset of
furunculosis is that this disease has been found in other non-mining regions of Canada. In
Lake Ontario, there have been cases of furunculosis found in sea lampreys (Mannien,
2008). Sea lampreys are predaceous in the Great Lake region, where these eel-like
creatures attack other fish species by attaching onto them (Mannien, 2008). In the Great
Lakes region, infected sea lampreys can easily transmit the disease when they attach
themselves to their prey. This example shows that furunculosis can occur in a lake
regardless of whether there have been past mining activities.
While mining may not have been the sole factor to the onset of furunculosis, it could still
have been one of the prominent stress factors prior to the warming of water temperatures.
As previously mentioned, leaching from nearby mines may have entered the water
system, decreasing the state of health of the fish. Schachte (2002) has found that fish
exposed to metal pollutants have a suppressed defence mechanism. Thus, metal
contaminants from past mining activities may have debilitated the health of some fish and
their defence mechanisms. With a poorer state of health, the infected fish may have been
more susceptible to disease, and with the rise in water temperatures, the surroundings
may have become optimal for an active outbreak of furunculosis (Perry et al., 2004; and
Schachte, 2002). It is suggested that a combination of environmental stress factors; such
as mining contaminants and warmer temperatures, may have created a more suitable
environment for the presence of furunculosis.
Research objective 6: To determine the potential impacts on the Aboriginal community of
Ouje-Bougoumou as a result of the spread of furunculosis resulting from climate change.
69
Health impacts on the Aboriginal community
There may be many repercussions from the spread of furunculosis to the Ouje-
Bougoumou community. In particular, because game fish is one of the main food sources
for many Aboriginal members, a decline in healthy fish is detrimental to their diet. A
decrease in available healthy fish may lead to unhealthy food choices or even food
security issues. By being forced to substitute this main source of food, coupled with poor
food choices, the Aboriginal community tend to see a decrease in their dietary nutrients.
These poor choices in market foods are partially due to costs and knowledge (Ford et al.,
2006).
A diet based on subsistence is usually less costly. To replace game fish with market foods
may create a financial strain for some members. For example, the cost of having a well
balanced diet eating market foods in the Yukon Aboriginal communities can range from
125-320% of that in Edmonton (Wein, 1994). The lack of financial means is one of the
reasons why some families or individuals may be struggling with food security issues.
Since foods with low nutritional value tend to be cheaper, it may seem like the better
choice for some to go with the lesser value. But in the long run, an unhealthy diet can
lead to chronic health issues, such as diabetes or obesity.
Unfortunately, chronic health issues such as diabetes and obesity are on the rise in
Aboriginal communities, affecting both adults and children (Dean et al., 1998). To reduce
the consumption of game fish would only add to the already increasing rates of these
serious health issues. Aboriginals are three times more likely than other cultures to be
70
diagnosed with diabetes (Webster, 2006). Diabetes and obesity have become prevalent in
many Aboriginal communities (Young et al., 2000). The lack of physical activity and the
substitution of traditional foods with market foods are believed to have caused the high
increase in obesity and diabetes rates (Young et al., 2000). The continual prevalence of
furunculosis in the fish population of Ouje-Bougoumou will only make it more difficult
for community members to have a healthy diet and lifestyle.
CHAPTER 7: Conclusions and recommendations for further research
The main objectives of the study were to examine the impacts of climate change on the
spread of furunculosis found in fish species of Ouje-Bougoumou, and the impacts on the
health of the community. Looking at past climate data, there exists a parallel between
past incidences of furunculosis and the increases in mean air temperatures. This suggests
that climate change cannot be eliminated as an influential factor to the prevalence of the
disease. It is also suggested that it may have been a combination of warmer temperatures
and mining contaminants that prompted an active phase of the disease. Unfortunately, an
active spread of furunculosis may continue to occur throughout the 21st century as
summer mean water temperatures of Lac Obatogamau and Lac Chibougamau continue to
meet the optimal temperature range (12.8 to 21.1 °C) of A. salmonicida.
Since the current surface maximum temperatures of both lakes surpass the optimal range
of A. salmonicida, this bacterium may actually have a broader preferred temperature
71
range. Furthermore, the temperature tolerance zone and survival of A. salmonicida may
be primarily dictated by the survival of its carriers.
Fish species that are at a greater risk of contracting furunculosis are those that are closer
to the infected fish, those that are more sensitive to stress, and those that have greater
habitat restrictions. If fish species were located in water depths reflecting their optimal
temperature range, then the species, walleye, white sucker, brook trout, river redhorse,
and northern pike, would be at a higher risk of contracting the disease from infected fish
(i.e. infected walleyes and white suckers).
An increase in surface water temperatures will decrease the amount of dissolved oxygen
in a lake. This will force fish species to locate to an area that meets both their temperature
range and oxygen level needs. If this is unsuccessful, then the rise in water temperatures
may be fatal to the entire fish population, with or without the prevalence of furunculosis.
Climate change will have a significant impact to the fish population of Ouje-Bougoumou
(Bowden et al., 2007). If furunculosis does not kill or seriously injure the fish, then it is
possible that either the rise in water temperatures or the lack of dissolved oxygen will.
The repercussions to the Ouje-Bougoumou community include financial strain, unhealthy
food choices, and food insecurity. In a community where diabetes and obesity rates are
increasing, a decrease in healthy foods such as game fish may put Aboriginals at a greater
risk to health complications.
72
To conclude, climate change is not eliminated as a plausible factor to the onset of
furunculosis; rather, it is argued that a combination of stress factors, i.e. past mining
activities and warmer temperatures, is likely what put the fish species at risk to
furunculosis. Unfortunately, the spread of furunculosis in the fish specie of Ouje-
Bougoumou may continue into the near future.
Broader implications on the spread of furunculosis
Since furunculosis has survived for over 100 years (Bermoth et al., 1997), it is probable
that it will continue to spread not only within the Ouje-Bougoumou region, but also to
nearby areas. In particular, areas most susceptible to disease (if not already affected) are
nearby lakes, which include Lac David and Lac Scott, both north of Lac Chibougamau.
Communities of Chapais, Chibougamou, and Waswanipi may experience similar
situations to the Ouje-Bougoumou community. To thwart a similar, potentially
devastating situation as in Ouji-Bougoumou, the understanding and knowledge on the
spread of furunculosis should be relayed to nearby communities. This way, they too can
know what to expect if an outbreak were to occur in their area. This would also allow
communities to strategize plans of alternate food sources if the fish were to become
inedible.
Climate change may spatially increase the prevalence of furunculosis. More types of
species may soon be affected by furunculosis, which include longnose sucker, cisco,
round whitefish, and landlocked salmon (Hydro Quebec, 2008 and Cabrillo College,
73
1999). In addition, the disease may spread to new locations further north if infected
species migrate to other areas due to increasing water temperatures.
Recommendations for further research
Suggestions for further research include completing a spatial analysis on the spread of
furunculosis. A spatial analysis was not achieved in this study, as the exact locations of
past incidences were not clearly pinpointed. Completing a geographical analysis on the
spread of furunculosis will bring forth greater insight on where the disease may soon
occur. A second suggestion is to explore the relationship between past mining
contaminants and furunculosis. Though past mining activities could have caused stress to
the infected fish, it is not known whether there is a causal relationship between metal
contaminants and furunculosis. Lastly, a third suggestion for further research is to assess
in greater detail the impacts to the health of the community, which may provide greater
knowledge on climate change and Aboriginal health. A continual collection of TEK
would allow for further insight on the health disparities of the community. While the
community may not be able to stop the impacts of climate change on the spread of
furunculosis, they can be prepared in knowing how to deal with such impacts.
.
74
References Abrahams, P.W. “Soils: their implications to human health.” The Science of the Total
Environment 291 (2002): 1-32. Adelson, Naomi. “The Embodiment of Inequity: Health Disparities in Aboriginal
Canada.” Canadian Journal of Public Health: Reducing Health Disparities in Canada 96 (2005): S45-61.
Aikenhead, Glen S. and Masakata Ogawa. “Indigenous knowledge and science revisited.”
Cultural Studies of Science Education (2007): 1-82. “Albert’s Fish Part 1.” Documentary on Canadian Broadcasting Companys Maamuitaau
Program. March 11, 2001. Shown in University of Waterloo course, ERS 372 First Nations and Environment. Summer 2005.
American Aquarium, Furunculosis photo. 2008.
http://www.americanaquariumproducts.com/images/graphics/furunculosis.jpg Accessed March 2008.
Austin, Brian, “Progress in understanding the fish pathogen Aeromonas salmonicida.”
TibTechnology 15 (1997): 131-135. Berkes, Fikret, Jack Mathias, Mina Kislalioglu, and Helen Fast. “The Canadian Arctic
And the Oceans Act: the development of participatory environmental research and Management.” Ocean and Coastal Management 44 (2001): 451-469.
Bermoth, E., Ellis, A E., Midtlyng, P. J., Olivier, G., and Smith, P. Furunculosis:
Multidisciplinary Fish Disease Research. San Diego, California: Academic Press. 1997.
Bowden, T.J., Thompson, K.D., Morgan, A.L., Gratacap, R.M.L., and Nikoskelainen, S.
“Seasonal variation and the immune response: a fish perspective.” Fish and Shellfish Immunology 22 (2007): 695-706.
Braff, Rochelle R. “Improving impact assessment methods: climate change and the
health of indigenous Australians.” Global Environmental Change 9 (1999): 95-104.
Busom, Freddy. Our History. Ouje-Bougoumou.
http://www.ouje.ca/history/history.htm. Accessed March 2008. Cabrillo College. Subarctic Culture Areas. 1991.
http://www.cabrillo.edu/~crsmith/anth7_subarctic.html. Accessed March 2008
75
Canadian Environmental Assessment Agency. “Optical Fibre Network in the
Northern Quebec.” Canadian Environmental Assessment Registry. 2007. http://www.ceaa.gc.ca/050/LocationInfo_e.cfm?GeoID=12026&CEAR_ID=31943. Accessed March 2008.
Canadian Environmental Assessment Agency. “Rupert Watershed.” 2005.
http://www.ceaa.gc.ca/010/0001/0001/0017/Figure2-6_e.pdf. Accessed March 2008.
Carter, T., Parry, M., Nishioka, S., and Harasawa, H. Technical Guidelines for
Assessing Climate Change Impacts and Adaptations. IPCC. London: Department of Geography, University College London. 1996.
Cipriano, R. C., Marchant, D., Jones, T. E., and Schachte, J. H. “Practical application of
Disease resistance: a brook trout fishery selected for resistance to furunculosis.” Aquaculture 206 (2002): 1-17.
Cooper, Gaston. Phone Interview. Tourism Officer of Ouje-Bougoumou. Interviewed on
May 6 2008. COSEWIC. “COSEWIC assessment and update status report on the river redhorse in
Canada.” Environment Canada. Canadian Wildlife Services. 2006. Covel, C.L., and Masters, R.D. “Ouje-Bougoumou Cree – A study in toxic exposure.”
COVEL. 2001. http://www.dartmouth.edu/~rmasters/Cree/Reportb.htm De Stasio, B.T., Hill, D.K., Kleinhans, J.M., Nibbelink, N.P., and Magnuson, J.J.
“Potential effects of global climate change on small north-temperature lakes: Physics, Fish and Plankton.” Limnology and Oceanography 41-5 (1996): 1136-1149.
Dean, H. J., Young, T.K., Flett, B., and Wood-Steiman, P. “Screening for type-2 diabetes
in aboriginal children in northern Canada.” The Lancet 352 (1998): 1523-1524. Department of Fisheries and Aquatic Sciences. Florida Lake Watch. University of
Florida. A Beginner's Guide to Water Management - Lake Morphometry, 2nd Ed. (Circular 104). Part 3. Commonly Measured Morphometric Features and What They Tell Us About Lakes. Gainsville, Florida: September 2001. Second Edition. http://lakewatch.ifas.ufl.edu/circpdffolder/Morph2ndEdPt3.pdf
Department of Natural Resources. “Lake Whitefish Coregonus clupeaformis.”State of
Michigan. 2007. http://www.michigan.gov/dnr/0,1607,7-153-10364_18958-45680--,00.html. Accessed July 31st 2008.
76
Dewailly, E. Nieboer, E., Ayotte, P., Levallois, P., Nantel, A.J., Tsuji, L., Wainman, B., and
Weber, J.P. Exposure and Preliminary Health Assessments of the Ouje-Bougoumou Cree population to Mine Tailings Residues. Institut national de sante publique du Quebec. Report. Montreal: National Library of Canada. 2005.
Diaconu, C., et al. “Some Results of the Study on the Water Temperature of Rivers in the
Roumanian People's Republic.” Institute Studii Cerc.Hidrotehn.Studii Hidrol 3 (1962): 25,52,3.
Drew, Joshua A. “Use of Traditional Ecological Knowledge in Marine Conservation.”
Conservation Biology 19-4 (2005): 1286-1293.
Dumont, P. “Mortality, after stocking, of brook trout (Salvelinus fontinalis) taken from Lots infected with furunculosis.” Naturaliste Canadien 10-3 (1983): 357-362.
Easterling, D. R., Gleason, B., Vose, R.S., and Stouffer, R. J. “A comparison of model
Produced maximum and minimum temperatures trends with observed trends for the 20th and 21st centuries.” NOAA National Climatic Data Center. Section 5.5. 2005.
Eli, Agbayani. Fish Base. 2007. www.fishbase.org. Accessed March 2008. Environment Canada. “Constructing Scenarios.” Canadian Climate Change Scenarios
Network. 2007. www.cccsn.ca. Accessed March 2008. Environment Canada. “Monthly data for Chapais, PQ.” Climate Data Online. April 6
2005. http://www.climate.weatheroffice.ec.gc.ca/climateData/monthlydata_e.html. Accessed Nov 11 2007.
Environment Canada. “Chibougamau dans la baie du commencement.” (Water level
data). Water Survey of Canada. www.wsc.ec.gc.ca/staflo/level_monthly.cfm Accessed May 13 2008.
Environment Canada. “Scenarios: Introduction.” Canadian Climate Change Scenarios
Network. January 26 2007. www.cccsn.ca. Accessed July 24th 2008. Faisal, M., Eissa, A.E., and Elsayed, E.E. “Isolation of Aeromonas salmonicida from sea
lamprey (petromyzon marinus) with furuncle-like lesions in lake Ontario.” Journal of Wildlife Diseases 43-4 (2007): 618-622.
Ford, James D., Barry Smit, and Johanna Wandel. “Vulnerability to climate change in the
77
Arctic: A case study from Arctic Bay, Canada.” Global Environmental Change 16 (2006): 145-160.
Furgal, Christopher and Sequin, Jacithe. “Climate change, health and vulnerability in
Canadian Northern Aboriginal communities.” Environmental Health Perspectives 114-12 (2006): 1964.
Goddard, John. “In from the cold: the Ouje-Bougoumou Crees build a model community
After 60 years of mistreatment and dislocation.” Canadian Geographic 114 (1994): 38.
Google. “Ouje-Bougoumou.” www.googlemaps.com. Accesssed December 14 2007. Health Canada. “A statistical profile on the health of First Nations in Canada.”
Ottawa: First Nations and Inuit Health Branch. 2003. http://www.hc-sc.gc.ca/fnih-spni/pubs/gen/stats_profil_e.html. Accessed December 1, 2006.
Heidorn, Keith C. “Fall/Spring Lake Turnover.” Weather Phenomenon and Elements.
2003. http://www.islandnet.com/~see/weather/elements/turnlakes.htm. Accessed March 2008.
Hiney, Maura, Smith, P., and Bernoth, E. “Covert Aeromonas salmonicida Infections.”
Furunculosis: Multidisciplinary Fish Disease Research. San Diego, California: Academic Press. 1997.
Houston, J.J. “Status of the Lake Sturgeon, Acipenser fulvescens, in Canada.” The
Canadian Field-Naturalist. 101.2 (1987): 171-185. Hydro Quebec. “Evolution of Fish Mercury Levels.” Environmental monitoring at the La
Grand complex summary report 1987-2000. December 2003. http://www.hydroquebec.com/sustainable-development/documentation/pdf/mercure/mercure_rapport_lagrande.pdf
Hydro Quebec. “The James Bay Territory.”
http://hydropowersolutions.com/visit/virtual_visit/territoire.html. Accessed March 2008.
Ignatov, A. and Gutman G. “Monthly mean diurnal cycles in surface temperatures over
land global climate studies.” Boston 12-7 (Jul 1999): 1900-1911. IPCC. “Climate Change 2001: The Scientific Basis.” Contribution of Working Group I to
The Third Assessment Report of the Intergovernmental Panel on Climate Change. [Houghton, J.T., Ding, Y., Griggs, D.J., Noguer, M., van der Linden, P.J., Dai, X., Maskell, K. and Johnson, C.A. (Eds.)]. Cambridge University Press, Cambridge, U.K. and New York, N.Y., U.S.A., 2001.
78
IPCC. “Climate Change 2007: Synthesis Report. Summary for Policymakers.”
A report of the Intergovernmental Panel on climate change. 2007. Johnsen, B.O., and A.J. Jensen. “The spread of furunulosis in salmonids in Norwegian
Rivers.” Journal of Fish Biology 45 (1994): 47-55. Kourzeneva, K. and Braskavsky, D. “Lake model FLake, coupling with atmospheric
model: first steps.” Workshop. 2004, 43-54. http://hirlam.org/open/publications/HLworkshops/HL06/Surface2004/10_EKo.pdf
L’monn. (Fisherman). Information on Lac Obatagamau. Email correspondence. May 6
2008. Lake Model FLake. “FLake online.” 2007. http://www.flake.igb-berlin.de/index.shtml.
Accessed March 2008. Lasenby, T.A, Kerr, S.J., and Hooper, G.W. “Lake Whitefish Culture and Stocking: An
annotated Bibliography ad Literature Review.” Fish and Wildlife Branch. Ontario Ministry of Natural Resources. Ontario: March 2001.
Littlejohn, Doreen. “The Medicine Wheel: a First Nations’ Integrated Care Model for
Multidiagnosed HIV Persons Residing in the Inner City of Vancouver, British Columbia” Vancouver Native Health Society. 79.4 (2002): S81.
Logan, Marty. “Impacts on lakes and streams needs study.” Wind Speaker July 1 2002. Madenjian, C. P., Pothoven, S. A., Schneeberger, P. J., Connor, D. V., and Brandt, S. B.
“Preliminary Evaluation of a Lake Whitefish Bioenergetics Model.” Great Lakes Science Center. (2005): 190-202.
Mannien, Christine. “Sea lamprey in the Great Lakes region.” Great Lakes Information
Network. 2006. http://www.great-lakes.net/envt/flora-fauna/invasive/lamprey.html. Accessed June 6 2008.
Ministère des Resources naturelles et Faune (MNRF). “Fishing Mains rules – Zone 17.”
Fishing Regulation. 2007. www.mnrf.gouv.qc.ca/english/publications/online/wildlife/fishing-regulations/zone. Accessed May 6 2008.
Minnesota Department of Natural Resources. “Estimating Lake Volume.” Fisheries GIS
79
Tip Sheet – Analysis. 2005. http://thoreau.dnr.state.mn.us/mis/gis/intranet/fisheries/pdf/tip_sheets/FishTip_ANALYSIS_Estimating_Lake_Volume.pdf
MDC. (Missouri Department of Conservation). “Missouri Fish and Wildlife Information
System.” Species Report. 2008. http://mdc4.mdc.mo.gov/applications/mofwis/Mofwis_Detail.aspx?id=0100129. Accessed July 31st 2008.
Morin, Diane. Bathymetry data on Lac Chibougamau and Lac Obatagamau. Centre
d’expertise hydrique du Quebec. Email correspondence. April 2008. Mortsch, L. D. and Quinn, F. H. “Climate change scenarios for Great Lakes Basin
Ecosystem System.” Limnology and Oceanography 41-5 (1996): 903-911. NCEP (National Centers for Environmental Prediction). “Global Data Assimilation
System (GDAS1) Archive Information. 2004. http://www.arl.noaa.gov/ss/transport/gdas1.html.
NCAR. “CEOP Derived Parameter Equations.” Earth Observing Laboratory. 2004
http://www.eol.ucar.edu/projects/ceop/dm/documents/refdata_report/eqns.html. Accessed June 5th 2008.
Newton, John, C.D. James Paci, and Aynslie Ogden. “Climate change and natural
Hazards in northern Canada: Integrating indigenous perspectives with government Policy.” Mitigation and Adaptation Strategies for Global Change 10 (2005): 541-571.
Nicholls, Will and Stewart, Lyle. “Poisoned: Quebec studies confirm fears that waters near O-J are heavily contaminated by mine tailings.” Nation, August 19, 2005. http://www.beesum-communications.com/nation/archive/12-20/poisoned.html. Accessed May18th 2008.
Noble, Alicia C., and Summerfelt, Steven. “Diseases Encountered in Rainbow Trout
Cultured in Recirculating systems.” Annual Review of Fish Diseases 6 (1997): 65-92.
North Temperature Lakes long-term Ecological Research. “Meteorological Data for the
North Temperate Lakes Study Area.” 2008 http://lterquery.limnology.wisc.edu/abstract_new.jsp?id=METD. Accessed March 2008.
Northwest Fisheries Science Center. “Microbiology”. Chronic furunculosis picture. 1996
http://www.nwfsc.noaa.gov/research/divisions/reutd/fhm/images/furunc-lb.jpg Accessed March 2008.
80
Parry, M. and Carter, T. “Climate Impact and Adaptation Assessment.” A Guide to the
IPCC Approach. Earthscan Publications Ltd, London, UK. 1998. Penn, Alan. “Memorandum: Report of furunculosis in fish from Obatagamau Lake.”
November 24 2000. Perry, Guy M.L., Phillipe Tarte, Sebastian Croisetie`re, Pierre Belhumeur, and Louis
Bernatchez. “Genetic variance and covariance for 0+ brook charr (Salvelinus Fontinalis) weight and survival time of furunculosis (Aeromonas salmonicida) exposure.” Aquaculture 235 (2004): 263–271.
Petrosky, B.R., and Magnuson, J.J. “Behavioral Responses of Northern Pike, Yellow
Perch and Bluegill to Oxygen Concentrations under simulated winterkill conditions.” American Society of Ichthyologists and Herpetologists 1973-1 (1973): 124-133.
Porter, John R., Mikhail A. Semenov. “Climate variability and crop yields in Europe.”
Nature 400 (1999): 724. Ranta, Bruce. “Ontario’s Lake Trout.” Ontario Out of Doors (Toronto) 36- 2 (2004): 15-
19. Reid, S.M., Mandrak, N.E., Carl,L.M., and Wilson, C.C. “Influence of dams and habitat
condition on the distribution of redhorse(Moxostoma)species in Grand River watershed, Ontario. Environment Biology Fish 81, (2008): 111-125.
Reist, James D, Frederick J Wrona, Terry D Prowse, J Brian Dempson, et al. “Effects of
Climate Change and UV Radiation on Fisheries for Arctic Freshwater and Anadromous Species.” Ambio 35.7 (2006): 402-410.
Reist, James D, Frederick J Wrona, Terry D Prowse, Michael Power, et al. “General
Effects of Climate Change on Arctic Fishes and Fish Populations.” Ambio 35.7 (2006): 370-80.
Rind D., Goldberg, R., and Ruedy, R. “Change in climate variability in the 21st century.”
Climate Change 14 (1989): 5-37. Rouse, W. R., Douglas, M.V., Hecky, R.E., Hershey, A.E., King, G.W., Lesack, L.,
Marsh, P., McDonald, M., Nicholson, B.J., Roulet, N.T., and Smol, J.P. “Effects of climate change on the freshwaters of Arctic and Subarctic North America. Hydrological Processes 11 (1997): 873-902.
Schachte, John H. “Furunculosis.” New York Department of Environmental
Conservatory. Chapter 25. Rome. NY. 2002.
81
Sippel, A.J. “Great lakes fish disease control.” Fisheries 7-2 (1982): 18-19. Snucins, E. J., and Gunn, J.M. “Coping with a Warm Environment: Behaviour
Thermoregulation by Lake Trout.” American Fisheries Society 124 –1 (1995): 118-123.
Sousounis, Peter and Glick. Patty. “The potential impacts of global warming on the Great
Lakes region.” Great Lakes: Impacts of Climate change in the United States. Global Warming: Early Warning Signs. 2000 http://www.climatehotmap.org/impacts/greatlakes.html. Accessed June 10th 2008.
Stickney, R. “Culture of Nonsalmonid Freshwater Fishes.” Advances in Fisheries
Science. Boca Raton, Florida, USA. 1992. Stokes, Helen, and Johanna Wyn. “Community strategies: Addressing the challenges for
young people living in rural Australia.” In Falk, Ian, Ed. (1998) Conference Proceedings of the International Symposium on Learning Communities, Regional Sustainability and the Learning Society. Launceston, Tasmania. Centre for Research and Learning in Regional Australia. June 6th 1998: (311-321).
Tatz, Dennis. “Deadly dumping: Lake pollution highlighted by film. The Patriot Ledger,
July 25 2005. http://ledger.southofboston.com/articles/2005/07/25/news/news06.txt. Accessed May 18th 2008.
Tibby, J., and D. Tiller, “Climate–water quality relationships in three Western
Victorian (Australia) lakes.” Hydrobiologia 591 (2007): 219–234. Toranzo, Alicia, Beatriz Magarin and Jesus L. Romalde. “A review of the main bacterial
Fish diseases in mariculture systems.” Aquaculture 246 (2005): 37-61. Trakmaps. Bathymetric Maps. TRAK Maps Concept Inc. Quebec, Canada.
www.trakmaps.com. Accessed 2008. Trakmaps. “Map bathymetric, 3D, of Lac Opémisca in the region of Nord Du Quebec
(north).” TRAK Maps Concept Inc. Quebec, Canada. www.trakmaps.com. Obtained on June 5th 2008.
Trakmaps. “Map bathymetric, 3D, of Lac Chibougamau in the region of Nord Du Quebec
(north).” TRAK Maps Concept Inc. Quebec, Canada. www.trakmaps.com. Obtained on June 5th 2008.
Travers, Eileen. “Crees fight for forests.” The Gazette October 30 1999.
http://www.nanews.org/archive/1999/nanews07.047
82
Tsuji, Leonard J.S., Harry Manson, Bruce C. Wainman, Eric P. Vanspronsen, Joseph Shecapio-Blacksmith, and Tommy Rabbitskin. “Identifying potential receptors And routes of contaminant exposure in the traditional territory of the Ouje-Bougoumou Cree: Land use and a geographical information system.” Environment Monitoring Assessment 127 (2007): 293-306.
Ullmann, Maryann. “Sununu has taken on Quebec Cree cause.” The Keene Sentinel, May
16 2005. http://www.covelassociates.com/media-cree.htm. Accessed May 15 2008.
UQAM (Université du Québec à Montréal). “Application and Achievement.” The Canadian Regional Climate Modelling and Diagnostics (CRCMD) Network. November 23 2007. http://www.mrcc.uqam.ca/index.php?page=applications_-ang.html&sm=sm4. Accessed May 26 2008.
Webster, Paul. “Canadian Aboriginal people's health and the Kelowna deal.” The Lancet
368.9532 (2006): 275-276. Wein, E. “The high cost of a nutritionall adequate diet in 4 yukon communities.”
Canadian Journal of Public Health 85-5 (1994): 310-312. Willows, Noreen D. “Determinants of Healthy Eating in Aboriginal Peoples in Canada:
The Current State of Knowledge and Research Gaps.” Canadian Journal of Public Health: Understanding the Forces That Influence Our Eating Habits. 96 (2005): S32-6, S36-41.
WOW. “Water on the Web - Monitoring Minnesota Lakes on the Internet and Training
Water Science Technicians for the Future.” A National On-line Curriculum using Advanced Technologies and Real-Time Data. University of Minnesota-Duluth, Duluth. 2004. http://WaterOntheWeb.org.
Wrona, Frederick J, Terry D Prowse, James D Reist, John E Hobbie, et al. “Climate
Change Effects on Aquatic Biota, Ecosystem Structure and Function.” Ambio 35.7 (2006): 359-69.
Young, T. K., Reading, J. Elias, B., and O’Neil, J.D. “Type 2 diabetes mellitus in
Canada’s First Nations: status of an epidemic in progress.” Canadian Medical Association 163-5 (2000): 561-566.
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APPENDIX I
Figure 4: Questionnaire for members of the Ouje-Bougoumou community
Topic: Analysing the impacts of climate change on the presence of furunculosis found in fish species of the Ouje Bougoumou community.
1. Approximately what year did you personally first observe or first hear about (specify from who) a change in the fish in the traditional territory of the Ouje-Bougoumou Cree?
2. Please identify on this map (1:50,000 NTS) where you first saw (or heard about –
specify from who) a change in the fish?
3. If you saw (or someone else – name) saw a change in fish, have these changes been seen in other water bodies in the traditional territory of the Ouje-Bougoumou Cree since the changes in fish were first noted?
4. Please identify on this map (1:50,000 NTS) where you now see (or someone else
– name) a change in the fish? 5. Have you noticed an increase in the amount of fishes that have changed over the
past ten years?
6. When you go out fishing, say for example, out of 10 fishes caught, how many would have appeared changed?
7. What are your thoughts about the change in the fish?
8. What do you think caused the change in the fish?
84
APPENDIX I
Figure 7. Bathymetry map of Lac Opemisca (Trakmaps, Lac Opemisca, 2008).
85
APPENDIX I
Table 8. File of lake parameters to be inputted into FLake for Lac Obatogamau.
- !Namelist configuration file for FLAKE (Lac Obatogamau) !------------------------------------------------------------------------------ ! Length of the simulation period, time step, saving interval !------------------------------------------------------------------------------ &SIMULATION_PARAMS del_time_lk = 86400.0, ! Time step [s] time_step_number = 4015, ! The total number of time steps (365*11years) save_interval_n = 1 ! Saving interval in time steps T_wML_in = 2. !initial temperature of the upper mixed layer T_bot_in = 2. !initial temperature at the bottom h_ML_in = 2. !initial mixed layer thickness / !------------------------------------------------------------------------------ ! Measurement heights/depths [m], names of input and output files !------------------------------------------------------------------------------ &METEO z_wind_m(1) = 2.00, !height of the wind measurements [m] z_Taqa_m(1) = 2.00, !height of the air temperature measurements [m] z_Tw_m(1) = 0.00, !depth of the water temperature measurements [m] (CURRENTLY NOT USED) meteofile = 'obatogamau.dat' !input filename for meteorological information outputfile = 'obatogamau.rslt' !filename for output / !------------------------------------------------------------------------------ ! Lake-specific parameters !------------------------------------------------------------------------------ &LAKE_PARAMS depth_w_lk = 9.45, ! Lake depth [m] fetch_lk = 3.03E+03, ! Typical wind fetch [m] sediments_on = .false. ! .FALSE. if the sediments layer is switched off depth_bs_lk = 5.0, ! Depth of the thermally active layer of bottom sediments [m] T_bs_lk = 4.0, ! Temperature at the outer edge of the thermally active layer of the bottom sediments [C] latitude_lk = 49.58 ! Geographical latitude [dgr] / !------------------------------------------------------------------------------ ! water transparency !------------------------------------------------------------------------------ &TRANSPARENCY nband_optic = 1 ! Number of wave-length bands frac_optic = 1 ! Fractions of total radiation flux extincoef_optic = 0.3 ! Extinction coefficients /
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APPENDIX I
Table 9. File of lake parameters to be inputted into FLake for Lac Chibougamau.
- !Namelist configuration file for FLAKE (Lac Chibougamau) !------------------------------------------------------------------------------ ! Length of the simulation period, time step, saving interval !------------------------------------------------------------------------------ &SIMULATION_PARAMS del_time_lk = 86400.0, ! Time step [s] time_step_number = 4015, ! The total number of time steps (365*11years) save_interval_n = 1 ! Saving interval in time steps T_wML_in = 2. !initial temperature of the upper mixed layer T_bot_in = 2. !initial temperature at the bottom h_ML_in = 2. !initial mixed layer thickness / !------------------------------------------------------------------------------ ! Measurement heights/depths [m], names of input and output files !------------------------------------------------------------------------------ &METEO z_wind_m(1) = 2.00, !height of the wind measurements [m] z_Taqa_m(1) = 2.00, !height of the air temperature measurements [m] z_Tw_m(1) = 0.00, !depth of the water temperature measurements [m] (CURRENTLY NOT USED) meteofile = 'chibougamau.dat' !input filename for meteorological information outputfile = 'chibougamau.rslt' !filename for output / !------------------------------------------------------------------------------ ! Lake-specific parameters !------------------------------------------------------------------------------ &LAKE_PARAMS depth_w_lk = 13.14, ! Lake depth [m] fetch_lk = 3.03E+03, ! Typical wind fetch [m] sediments_on = .false. ! .FALSE. if the sediments layer is switched off depth_bs_lk = 5.0, ! Depth of the thermally active layer of bottom sediments [m] T_bs_lk = 4.0, ! Temperature at the outer edge of the thermally active layer of the bottom sediments [C] latitude_lk = 49.84 ! Geographical latitude [dgr] / !------------------------------------------------------------------------------ ! water transparency !------------------------------------------------------------------------------ &TRANSPARENCY nband_optic = 1 ! Number of wave-length bands frac_optic = 1 ! Fractions of total radiation flux extincoef optic = 0.3 ! Extinction coefficients