Mechanism of human-hornet conflicts in an urban ecosystem
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Transcript of Mechanism of human-hornet conflicts in an urban ecosystem
Muna Maryam Azmy
Mechanism of human-hornet conflicts in an urban ecosystem
Towards Green Urbanization
Benefits of urban green space:-Decrease urban heat effects (Tsilini et al. 2015)
-Increase health (Lee et al. 2011)
-Mitigate water, air pollution (Nowak et al. 2006)
-Nature-based tourism opportunity (Broadbent et al. 2012)
-Wildlife habitat (McKinney 2008)
Due to these benefits, many cities (US, China, Japan) have implemented strategies to increase the supply of green space(Wolch et al. 2014)
Shinjuku Park,2014
Negative side effects of human-nature interaction
Human-wildlife conflictHuman-wildlife Human & Human-wildlife
Damage to infrastructureIn Iowa, deer-vehicle 220 collisions account for 13% of all crashes reported (Gkritza et al. 2014)
Increase in unwanted speciesIncrease in number of complaints from homeowners regarding damage to roof insulation due to inhabitants of martens (Herr et al. 2010)
Human DeathCoyote aggression towards people (n=3646) in Denver-Metro area of Colorado in 7 years. (Poessel et al. 2013)
Among stockholders managersDiffering responsibilities interpretations between agencies and landowners in red deer management (Davies& White 2012)
Conservation diversities97% of 100 articles were conflict between conservation and other human activities, particularly those associated with livelihoods (Redpath et al. 2015)
Stinging Insect Conflict: Japan
(Matsuura, 2010)
Average of death from 2005-2014
5 Snakes
18 Paper Wasp, Bee, Hornet
Stinging insects are considered as nuisance due to the damage inflicted by this species.
Eg. Death from wasp sting is rare but fatal incident often involves a single sting
Wasp attack in urban park , Florida
Stinging Insect Conflict
High consultation demand for stinging insects
Increasing demand for hornets consultation
Approximately half of the 53 local governments (excluding the isolated islands) financially or technically support nest removal from private homes, which normally costs between $100‒500 US per removal (Hosaka & Numata 2016).
1995
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
2013
02000400060008000
100001200014000
Paper wasp and hornet total consul-tations in Tokyo
Wasp Linear (Wasp)Year
No.
of
Cons
ul-
tatio
n
𝑟 𝑠=0.5 0∗
𝑟 𝑠=0. 8 2∗∗
* Significance at p<0.05, ** Significance at p<0.01Paper wasp
Pest Group Consultation in Tokyo 2010-2014Stinging insectsRatsNuisance animalsBlood-sucking insectsPoisonous insectsNuisance insectsSanitary pestsMitesWood pestsTree pestsFood pestsOthers
(Hosaka & Numata 2016)
What caused the conflict increase?
Tolerance of Human?
Abundance of Hornet?
Small habitat requirement (McKinney, 2008)
High temperature that induced hatching rate (Sirassmann and Orgren, 1983)
Availability of green spaces (Choi et al., 2012)
Physical disabilities during encounter among aging generation (Bjerke et al., 1998)
Lack of experience of younger generation of urban dwellers towards some nature (Soga et al., 2016)
Enhanced of communication technologies allows better news circulation
Horn
et
Year
Tole
ranc
e
Year
Aim of StudyTo identify factor influencing conflict between human and hornet in urban area
Hornet
Human
Conflict
Hornet’s Nest Removal report
Conflict
What is the environment prone for human-hornet conflict?
1) Where does hornet community mainly found?
2) Where does human-hornet conflict(HHC) mainly found?
Hornet Conflict
Prone environment
Human and hornet environment
+
Responses of hornet species to levels of urban greenness
Horn
etYear
Hornet: Species characteristics
There are 24 species of hornets (Vespa spp.) exclusively distributed throughout Asia, except for one found also in Europe (Ono, 2007)
Eight species are known to live in Japan (Matsuura and Yamane, 1990)
Hornets harmfulness to humans can differ among species (Matsuura 1984, 1990)
Hornet in Japan
FeaturesSpecies
V. mandarinia V. crabro V. analis V. ducalis
Body size (mm) 27-38 21-28 22-28 24-37
Nesting site underground,tree hollow
attic, underground, tree hollow
tree branch building eaves, rock wall
attic, underground, tree hollow
Preyvarious insects including other
hornetsmainly cicadas various insect and
spiders paper wasp
AggressivenessPoison
V. analisコガタスズメバチV. mandariniaオオスズメバチ V. crabroモンスズメバチ V. ducalisヒメスズメバチ
V. simillimaキイロスズメバチV. flavicepsクロスズメバチ
V. dybowskiチャイロスズメバチ
Matsuura (1984)
V. velutina
Increasing
V. mandariniaV. crabro
V. analisV. ducalis
Seasonal activity of hornetMated queens
survive outdoors
Nest-building
Nest maintainance by workers
New queens develop, summer colonies
dies
Winter
Spring
Summer
Autumn
Matsuura (1990)
Benefits of Hornet in Urban Ecosystem
Matsuura & Yamane (1990) ; pictures credited to Yamauchi H.
Natural pest control Unsanitary pest Agriculture pest
Food alternative Source of protein Exotic food supply
Health improvement Herbal medicine Sports drinks
Objective of Study• Hornet depend on green space, particularly forest space due to food and
nesting preferences (Matsuura, 1984; Ono, 2003).• Some hornet species have also become well-adapted to urban areas, as
they use garden trees and buildings for nesting places and use human waste as their food source (Choi et al., 2012; Ono, 2003).
• Quantitative analysis on hornet dependence on greenness level is lacking
Food
Low green areas?
Whichhornet
High green areas?
Nest
Aggressive
To understand hornet preferred environment using greenness level
Materials & Methodologies
1) Hornet sample
Data collection of hornet abundance from Nagoya City Living Hygiene Centre
Two trapping points located at each 11 locations
Bait: Funnel trap and attractant liquid (6:4 fermented sugar solution to water)
Trap: 3m above the ground were observed every week
Period: April to November in 2007 to 2014 Species of the hornets were identified and
recorded.
Nagoya
Example:Funnel trap
Materials & Methodologies2) Green spaces
Satellite variable : Normalized Difference Vegetation Index (NDVI) of Landsat-8
Date observation :14 August 2013 The images were acquired with 30-m spatial
resolution
NDVI Valid range: -1 to 1 (e.g 0.5-0.8 forest, -0.1-0.2 bare land) Greenness level based on photosynthetically
active biomass of plant canopies can remotely monitored using NDVI(Tucker 1979; Elmore et al. 2000)
Relevant at detecting vegetation change and forest cover dynamics (Mancino et al. 2014)
Moriyama, Nagoya
Tenpaku, Nagoya
100m radius
0.52
0.35
Materials & Methodologies2) Green spaces radius measurement
Average NDVI were measured at each locations within: o 100mo 500mo 1kmo 1.5kmo 2kmo 3kmo 4kmo 5kmo 6kmo 7kmo 8kmo 9kmo 10km
1)Do NDVI values correlate with the abundance and species composition of hornets?2)Are responses to NDVI values different among hornet species?3)Which spatial scale is the most effective at predicting hornet abundance and species composition?
Research Questions
Materials & Methodologies3) Data analysis
1.To examine the effect of green areas towards hornet abundanceGeneralized Linear Mixed Model(GLMM) *-Response : Hornet species abundance-Explanatory : Average NDVI within 100m, 500m, 1km,2km,…, 10km-Random effect: Location ID
2.To identify the scale to detect hornet abundance GLMM, Nonmetric-multidimensional Scaling (NMDS)*-Response : Hornet species composition at site (NMDS)-Explanatory : Average NDVI within 100m, 500m, 1km, 2km,…, 10km-Random effect: Location ID
3.To analyze temporal pattern of hornet abundance Spearman rank correlation-Variables: Year ~ Hornet abundance(Burnham and Anderson, 2002, Zuur et al., 2009)
* Based on AIC
Results?
Temporal pattern
Although some species showed high temporal increase, the results were not significant except for V. mandarinia
Long-term monitoring is crucial to understand temporal patterns of hornet abundance
Temporal pattern of abundance
Results
2007 2008 2009 2010 2011 2012 2013 2014 20150
2000
4000
6000
8000
10000
12000V.analis V.ducalisV. crabro V. mandariniaTotal
62
𝑟 𝑠=0.72∗
𝑟 𝑠=0. 3𝑟 𝑠=0. 08
𝑟 𝑠=0.17
V. analis29%
V. ducalis9%
V. crabro17%
V. mandarinia43%
Others1%
Species composition 2007-2015N=64569
YearAb
unda
nce
Species compositions were different among locations (F=17.175, p<0.001)
Species compositions were not different in years (F=0.6926, p=0.8093)
Suggesting strong drivers caused in spatial environmental (i.e land covers), besides temporally fluctuating factors (i.e. temperature and rainfall)
Results
Spatial species composition
-0.25
0.00
0.25
-0.50 -0.25 0.00 0.25 0.50NMDS1
NM
DS
2
WardpPoint 1
Point 10
Point 11
Point 2
Point 3
Point 4
Point 5
Point 6
Point 7
Point 8
Point 9
1
32
456
8
109
11
7
Locations
N=82 [(6years x10location)+(2yearsx11location)]
N=82
Spatial pattern
Effect of Greenness Level
NDVI within all radiuses from 100m to 10km significantly affect hornet abundance
Best model: NDVI within 1km (0.18-0.54)
Suggesting that the level of greenness in urban areas positively affected hornet abundance
Best estimate within 1km: consistent with hornets flying range (Matsuura, 1984)
Results
GLMM :Hornet abundance~ average NDVI within radius + *Ward ID*random effect
Different Response on Greenness
Two species significantly affected by green spaces
-V. mandarinia -V. crabro Difference in response are
likely related to the species-specific ecological characteristics
Results
***N = 82
***N = 82
2.913N = 82
*** Significance at p<0.001
NDVI within 1km radius
Abun
danc
e
GLMM :Species abundance~ average NDVI within 1 km radius+ *Ward ID V. analisV. mandarinia
V. ducalisV. crabro
*random effect
N=82 [(6years x10location)+(2yearsx11location)]
0.78N = 82
Different Effect of Greenness Level
Results
Species dominance based on greenness levelwithin 1km
Nesting and prey preference related: V. mandarinia: underground nests and
prey on a great number of large insects in forests
V. crabro: tree hollows and underground nesting, and they prey on cicadas
V. analis: generalists in regard to prey species and nesting sites
(Matsura 1984, Choi et al. 2012, Michelutti et al., 2013)
N = 82
0.31
Kita
0.54
Chikusa Minato
0.19
Summary
Important to consider the greenness level of landscapes rather than land use element(forest, parks) to predict hornet abundance
This study showed that possibilities of conflicts with hornets are likely to increase proportionally with the amount of green space especially the most venomous species
Useful information to be shared by urban park managers to improve awareness on public safety at urban green spaces
Green space and conflict
Non-forest
• V. mandarinia• V. crabro
Forest
• V. analis• V. ducalis
Impacts of environment on human - hornet conflict in urban ecosystem of
Nagoya
Tole
ranc
e
Year
Human
Human wildlife conflict
Hornet as urban’s nuisance insect has several times been discussed in previous studies (Matsuura and Yamane, 1990; Nakamura, 2007; Yamauchi H, 2009), but lack of quantitative approach has been done to understand the issue
Limited of studies has on human-insect conflict (Magle et al. 2012)
Since insects can adapt well to urban environment we need to understand how conflicts can be detrimental to human
What environment can drive conflict?
1) Where we can find high number of hornet?
2) Where we can find high number of wildlife conflict?
Human and hornet environment= green spacesfor some species
= residential areas
3) Who mostly dislike wildlife? = elder generation
4) Who have low tolerance to wildlife? = woman
Structure of species diversity and abundance can depend on species interaction, microclimate and availability of natural resources (Picket et al 2001)
Combination of increased human population in urbanized environment with human dynamic attitude, induce challenge in solving wildlife conflict (Jochum et al. 2014)
Objectives of Study
Removal report
Conflict
Social characteristics
To understand which factors strongly contribute to the conflict
Grassland
PopulationAgricultural land
Parks
Forest
Residential areas
Women
Elder generation
Spatial environment
Materials & Methodologies1) Hornet nest removal report
Study area: Nagoya city Source: Environmental Health Center of
Nagoya city Size: 16 wards Type of removal: Free of charge Period : 1990 to 2005 Five main hornet species identified: - Vespa mandarinia (オオスズメバチ ) - V. analis (コガタスズメバチ ) - V. ducalis (ヒメスズメバチ ) - V. crabro (モンスズメバチ ) - V. simillima (キイロスズメバチ )
Nagoya city
Period observed: 1990-2005 Source: Nagoya city demographic
report (Nagoya, 2015) Ratio of group :
Materials & Methodologies
Grassland Agricultural land Forest Residential areas Parks
Elder generation proportion Women proportion Population
Nagoya
2) Land use types 3) Social characteristics
Period observed: 1990-2005 Source: Nagoya city government Ratio of land use:
Land use areaWard area
% Group proportionWard proportion
%
Do number of removals 1) Increase temporally?2) Different spatially ?3) Affected by land use or social pattern?
Research Questions
Materials & Methodologies3) Data analysis
1.To examine the effect of spatial and towards hornet removalGeneralized Linear Mixed Model(GLMM) -Response : No. of removals-Explanatory :
-Random Effect : Ward ID
2.To analyze temporal pattern of hornet removalSpearman rank correlation-Variables: Year ~ No. hornet removal
(Burnham and Anderson, 2002, Zuur et al., 2009)
: Grassland: Parks: Elder generation
: Women proportion: Population: Year
: Residential areas : Agricultural land : Forest
Results?
1990
1991
1992
1993
1994
1995
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
0
200
400
600
800
1000
1200Trend of total removal
Year
Rem
oval
92
3221
Species Removed
V. analisV. ducalisV. crabroV. simillimaV. mandarinia
Number of removal significantly increased temporally Highly removed species is V. analis : expected to have high adaptability at various land covers
Temporal trend of removal
Results
𝑟 𝑠=0.86∗∗∗
** p. value significant at p<0.001, N=16
0
0.5
1
1.5
2
2.5
3
3.5
Year
Log
no o
f Rem
oval
Trend of Removal by Species
Results
𝑟 𝑠=0. 85∗∗∗
𝑟 𝑠=0.4 6𝑟 𝑠=0.72∗∗∗
𝑟 𝑠=−0.4 3*
Significance at *** p<0.001, N=16
Temporal removal for all species increased significantly except for V. ducalis and V. simillimaHighest increase in removal was on V. analis followed by V. mandariniaIncrease of conflict with V. mandarinia raise awareness on the negative effect of urban ecosystem
Spatial trend of removal
Results
Nakag
awa
Minato
Nakam
uraNish
iKita
Atsuta
MinamiNak
a
Higash
i
Mizuho
Showa
Midori
Tenpak
u
Chikusa
Meito
Moriyam
a0
0.00010.00020.00030.00040.00050.00060.00070.0008
Removal by ward 1990-2005
Rem
oval
/ po
pula
tion
Removal trend was spatially different On average from 1990- 2005 Highest : Moriyama Lowest : Nakagawa
Which factors associated with conflict?
Results
Variables Estimates(βi) P. values
Forest 0.69 <0.001
Year 0.45 <0.001
Grass 0.29 <0.001
Residential 0.28 <0.001
GLMM : Removal~ β1Forest + β2Residential Size+ β3Grassland+ β4Parks + β5Agricultural Land+ β6Population+β7Elder + β8Women+ β9Year + random effect(Ward ID)
N=216
Proportion of the forest highly associated with the number of removal
Which factors associated with conflict?: Species
ResultsEstimates significant at p<0.05 *, p<0.01 **, p<0.001 ***, N=216
Forest is the strongest estimate for all models except for V. ducalisAgricultural areas showed negative association for some species removals
Discussion
Consistent with previous study (Azmy et al 2016) where species like V. mandarinia and V. crabro were abundant at high green areas.Unexpected for the removal of V. analis, removal might related with residence that is located near forested areasNatural regulations might be useful to control the hornet population
Forest
Positively affect
Similar with previous study where green spaces and forest were related with stinging insect conflict. (Choi et al, 2012; Hosaka & Numata, 2016)
Forest
Discussion
Considering paper wasps as control agents of some agricultural activities(Gould and Jeanne 1984), it is interesting that the extermination of V. ducalis was negatively correlated with agricultural areas. Either the agricultural environment was unsuitable for the survival of this species or high tolerance towards this species due to its ability in controlling paper wasps in these areas.
Agricultural land
Negatively affect
Previous study suggested that hornet has been used for pest control pest. (Matsuura & Yamane 1990)
Forest
Agriculture
Summary
Trends in removals Trend of removal might plausibly increase in future
This study illustrates how conflict between human and different hornet species can occur near forest areas.
Negative element of ecosystem is important to be considered in urban development such as green spaces and residential areas
High correlation between hornet abundance and urban green space
High association between hornet-human conflict and urban forest
Future Implementation Suggestion
Demonstrates risk of conflict with hornet spatially within urban environment especially urban green spaces.
Consideration of negative effects of element on urban land covers should be taken account for urban planning management
Understanding risk of wildlife such as is also important for human in order to live in green environment
Conclusion
Incorporating aspect of biodiversity conservation in urban planning can be effective for human as well as wildlife when the positive and negative effects of the ecosystems were put into considerations.
Acknowledgement
We are highly grateful to Environment Health Center of Nagoya city that provided us of access to their report on hornet abudnance and extermination data. We also thank Nagoya government for their cooperation on the sharing of land characteristics data of Nagoya city. This work would not have been accomplished without their support.
The end