Climate Change and Health of Sundarbans
Transcript of Climate Change and Health of Sundarbans
Climate Change and Health of Sundarbans
By
Ahmadul HassanDirector, R& D and Training Division
Email: [email protected]: April 14, 2011
Kolkata, India
A public trust under the Ministry of Water Resources
Launch of Sundarbans Pavilion
World Wildlife Fund
Ganges Basin
Brahmaputra Basin
Meghna Basin
Background Bangladesh occupies only 7% of the combined catchment area of the
Ganges-Brahmaputra-Meghna river basin, But the country has to drain out 92% of the flow into the Bay of Bengal. Too much water in the monsoon and too little water in the dry season
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Forest Ecosystem in Bangladesh
Types of Forest Area (Sq. km)
Tropical evergreen and semi-evergreen Forest 6,700
Natural Mangrove Forest and Plantation 6,000
Tropical moist deciduous Forest 12,00
Tropical evergreen and semi-evergreen forest are mainly hill forest
The tropical moist deciduous forests commonly known as the plain land ‘Sal’ forest
The Sundarbans is the largest single tract of natural mangrove forest in the world covers 40% of total forest area of Bangladesh
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Sundarbans
• Biodiversity– 350 species of vascular plants, – 250 fishes and– 300 birds– 42 species of mammals are available in
this mangrove forest
• It is the homeland of world famous Royal Bengal Tiger
• In 1997, UNESCO declared it as a world heritage sight
• Sundarbans covers an area of 10,000 km2 of which about 6,000 km2 are in Bangladesh
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Climate Change in Bangladesh Annual average temperature will increase by
0.78°C in 2030 and 1.6°C in 2050 for scenario B1
Mean annual precipitation will increase by 6.3% in 2030 and 8.4% in 2050 for scenario B1
Sea level will rise about 27 cm by 2050.
Total saline water area will increase to 17.5% (1 ppt) and 24% (5 ppt) by 2050.
47 % area in 2025 and 45% area in 2050 will be in no stress condition 5
Aim of this Research
The aim of this research is to find out what are the physical factors which
support good health for the Sundarbans
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Forest Health Evaluation
ParametersDevelopment of
forest health evaluation criteria
and parameters
Expert
Consultation
Forest cover Information
Evaluation ofForest Health Index
(Very Good, Good, Poor)
Literature Review
FloodingSalinity
ConcentrationGeomorphic
featureDrainagedensity
SLR
Scenario
Adaptation
Options
ParametersDevelopment of
forest health evaluation criteria
and parameters
Expert
Consultation
Forest cover Information
Evaluation ofForest Health Index
(Very Good, Good, Poor)
Literature Review
FloodingSalinity
ConcentrationGeomorphic
featureDrainagedensity
SLR
Scenario
Adaptation
Options
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Topographical Distribution of Sundarbans Elevation (m)
0.20%2.83%
10.49%
20.53%
28.79%
22.88%
10.44%
2.94%0.81%
0%
5%
10%
15%
20%
25%
30%
35%
0.0 - 0.5 0.5 - 1.0 1.0 -1.5 1.5 -2.0 2.0 - 2.5 2.5 - 3.0 3.0 -3.5 3.5 -4.0 > 4.0
Elevation (m,PWD)
DEM
70% of the land goes under water in regular tidal flooding and
Almost 85% of the land goes under water during high tide in the monsoon season. 8
Changing Pattern in Distribution of Sundri and Gewa from 1992 to 2001
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Changing Pattern in Distribution of Goran and Gewa from 1992 to 2001
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Forest Cover Using RS
1992 1995
2001-04-05 DoF 1995
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Forces Increased SalinitySedimentationChange in InundationTemperatureAnthropogenic Factors (e.g. increased population in buffer zone, illegal extraction, encroachment)
Forest vegetations
•Sundri- Gewa
•Gewa-Sundri
•Sundri
•Goran-Gewa
• --------
Habitat
•Mammals
•Reptiles
• Birds
• Amphibians
•-------------
Why have the Changes Occurred
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Sundri
0
100
200
300
400
500
Less Moderate Strong
Salinity
De
nsi
ty (
no
s/h
ec)
Gewa
0
100
200
300
400
500
Less Moderate Strong
Salinity
De
nsi
ty (
no
s/h
ec)
Keora
050
100150200250300350400450
Less Moderate Strong
Salinity
De
nsi
ty (
no
s/h
ec)
Impact of Salinity on Forest Density
Low < 15 pptModerate 15-25 pptHigh >25 ppt
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Sundri
3
6
9
12
Inu
nd
atio
n M
on
ths
Survival Performance
Kakra
3
6
9
12
Inu
nd
atio
n M
on
ths
Survival Performance
Gewa
3
6
9
12
Inu
nd
atio
n M
on
ths
Survival Performance
Survival Performance Under Different Flooding Condition
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Forest: Growth Index Modelling
Mu
dfla
ts (
slo
pe)
High-tide water level
Low-tide water level
Rid
ges
or
leve
es
Back-swamps or basins
Ma
in r
ive
r ch
anne
l hoda
nol khagra
golpata
keora/baen goran
Gewa
sundari
hargoza
Present Future
Sundri
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Suitability of Sundri (Heritiera fomes)
Drainage Density :Low
Inundation
Salinity Low Medium High
Low Good Good Poor
Medium Good Poor Poor
High Poor Poor Poor
Drainage Density :High
Inundation
Salinity Low Medium High
Low Very Good Very Good Good
Medium Good Good Poor
High Poor Poor Poor16
Suitability of Gewa (Excoecaria agallocha)Drainage Density :Low
Inundation
Salinity Low Medium High
Low Good Very Good
Good
Medium Good Good Good
High Good Good Poor
Drainage Density :High
Inundation
Salinity Low Medium High
Low Good Very Good Good
Medium Very Good Good Good
High Good Good Poor 17
Suitability of Goran (Ceriops decanda)
Drainage Density :Low
Inundation
Salinity Low Medium High
Low Poor Poor Poor
Medium Good Good Poor
High Very Good Good Poor
Drainage Density :High
Inundation
Salinity Low Medium High
Low Poor Poor Poor
Medium Good Good Poor
High Very Good Good Poor18
Plant Type – Sundari – Health Index Under Different SLR Scenarios
Suitability of Sundri in SLR Base scenario
0
20
40
60
80
100
Block_A Block_B Block_C
Block in Sundarban
Perc
enta
ge o
f Su
itabi
lity
Very Good Good Poor
Suitability of Sundri in SLR 32 cm scenario
0
20
40
60
80
100
Block_A Block_B Block_C
Block in Sundarban
Perc
enta
ge o
f Su
itabi
lity
Very Good Good Poor
Suitability of Sundri in SLR 88 cm scenario
0
20
40
60
80
100
Block_A Block_B Block_C
Block in Sundarban
Perc
enta
ge o
f Su
itabi
lity
Very Good Good Poor
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Suitability of Gewa in SLR Base scenario
0
20
40
60
80
100
Block_A Block_B Block_C
Block in Sundarban
Perc
enta
ge o
f Su
itabi
lity
Very Good Good Poor
Suitability of Gewa in SLR 32 cm scenario
0
20
40
60
80
100
Block_A Block_B Block_C
Block in Sundarban
Perc
enta
ge o
f Su
itabi
lity
Very Good Good Poor
Suitability of Gewa in SLR 88 cm scenario
0
20
40
60
80
100
Block_A Block_B Block_C
Block in Sundarban
Perc
enta
ge o
f Su
itabi
lity
Very Good Good Poor
Plant Type – Gewa – health Index Under Different SLR Scenarios
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Suitability of Goran in SLR Base scenario
0
20
40
60
80
100
Block_A Block_B Block_C
Block in Sundarban
Per
cen
tag
e o
f S
uita
bili
ty
Very Good Good Poor
Suitability of Goran in SLR 32 cm scenario
0
20
40
60
80
100
Block_A Block_B Block_C
Block in Sundarban
Per
cen
tag
e o
f S
uita
bili
tyVery Good Good Poor
Plant Type – Goran – health Index Under Different SLR Scenarios
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Dominant Plant Distribution Under Different SLR condition
0
10
20
30
40
50
60
70
Very Good Good Poor
Sundri Dominant
Percentage SLR-base Percentage SLR-32cm Percentage SLR-88cm 22
Plant Diversification in Sundarbans
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Conclusions
• Due to SLR effects the area of sundarban will change the species composition.
• The “Sundri” will eventually be reduced to almost half from the present extent, whereas “Goran” area will increase and become the dominant forest species.
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Suggestion to Improve the Degraded Ecosystem
• To protect the river dependent ecosystem, we have to keep the river system alive
• Natural resource should not be used at a greater rate than it’s regeneration capacity
• Ecosystem has not political boundaries. So, a holistic approach is needed to protect the ecosystem.
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