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Climate change and forests in the Western Ghats
R. Sukumar
Centre for Ecological SciencesIndian Institute of Science
Bangalore, India
Had RM3 climate projectionsB2 scenario
Predicted change in temperature (Predicted change in temperature (°°C) C)
by 2085by 2085
Predicted change in rainfall (mm) Predicted change in rainfall (mm)
by 2085by 2085
Models of climate change impacts on
vegetation
• Empirical-statistical models have limitations in
that they do not account for plant physiological
responses to changes in CO2, nutrient cycling and
transient responses to climate change
• Process-based models such as BIOME and
HYBRID incorporate complex interactions but are
extremely data intensive, and in certain regions
fail to predict the prevailing vegetation types
CLIMATE DATA FOR BIOME
Model used: Hadley Centre Regional Model; Had RM3
Mean monthly temp. & rainfall, cloud cover
Scale: 0.44 x 0.44 degree RCM grid
Scenarios: SRES; A2 and B2
Period: 2071-2100 mid period: 2085
Observed Climate data: CRU data set for 1901-1995 from East Anglia (0.5x0.5 degree grid)
Projected impact of CC on vegetation
(B-2 scenario) using BIOME
About 75% of India’s forests are projected to change in character
irrespective of the nature of change by the end of the century
Source: Ravindranath, Joshi, Sukumar & Saxena, 2006. Curr. Sci.
Potential Impacts of Climate Change
on vegetation in the Nilgiris using an
empirical-statistical modelVeg type Baseline
Area
Most likely
scenario 2020
Most likely
scenario 2050
Worst case
scenario 2050
Evergreen forest 585 664(+13.4%) 714(+22%) 563(-3.7%)
Moist Deciduous
forest
895 1021(+14%) 1136(+26.9%) 1046(+16.8%)
Dry Deciduous
Forest
1624 1179(-27.4%) 1031(-36.4%) 850(-47.7%)
Dry Thorn Forest 2083 2350(+12.8%) 2339(+12.3%) 2767)+32.9%)
Montane/Grassland 289 280(-3.1%) 268(-7.3%) 263(-9.1%)
Note:- Areas are in sq.km.
Likely vegetation changes in the
Nilgiris
• With the most likely
scenario, there is an
increase in evergreen,
moist deciduous and
dry thorn forest types
and a decline in the
montane forest &
grassland and dry
deciduous forest.
Higher elevations (>1800 m) of the Western Ghats in southern India feature stunted montane forest (shola) and grasslands that are likely to be highly sensitive to global warming
Theories on origin of montane grasslands
• C.R. Ranganathan (1938)
- grasslands in the higher altitudes of Nilgiris are climatic climax
- frost prevents regeneration/survival of seedlings of shola trees
• N. L. Bor (1938)
- pastoralists such as Todas have cleared the shola forests which once covered the entire plateau
- grasslands today are maintained by regular burning
The valleys have peat bogs that preserve the vegetational and climatic record of the late Quaternary (40,000 yr BP and earlier)
Sukumar, Ramesh, Pant & Rajagopalan, Nature 1993
Can the Nilgiri tahr survive change ?
• Montane grasslands in the WG are the only habitats of the Nilgiri tahr.
• Enhanced CO2 could fertilize the growth of C3 plants such as the exotic wattles.
• Warmer temperatures could likewise facilitate the spread of woody plants including the invasive wattle and scotch broom
• Grasslands could further reduce with adverse consequences for the tahr and montane species.
Mudumalai Forest Dynamics Plot
•A 50 ha permanent plot was set up during 1988-89 in
the tropical dry deciduous forests of Mudumalai
Reserve (elevation c.900 m asl) in southern India
•This dry forest plot is a partner in the international
network of large-scale plots coordinated by the
Smithsonian Institution
•Annual enumeration for recruitment and mortality;
growth recorded every four years
•There were c.26000 individuals (stems >1 cm dbh)
from 72 species during 1988; abundant trees are
Lagerstroemia microcarpa, Tectona grandis,
Terminalia crenulata and Anogeissus latifolia
Environmental variation at Mudumalai
0
200
400
600
800
1000
1200
1400
1600
1800
2000R
ainf
all (
mm
)
Year
rainfall Mean rainfall
0
10
20
30
40
50
60
70
80
90
100
% a
rea
burn
t
Year
Area unburnt Area burnt
Normal rain
Three fires
Low rain
One fire
>Normal rain
No fire
Drought
One fire
Excess rain
No fire
Mortality and recruitment (1989 – 2008)
Importance of long-term research!
0
5
10
15
20
25
30
35
40
45
50
Pe
rce
nt
Year
Mortality
Recruitment
Biomass changes over time
(woody stems >1 cm dbh)
5000
6000
7000
8000
9000
10000
11000
1988 1992 1996 2000 2004 2008
To
tal b
iom
ass (
ton
s)
Census year
Non-wood
Wood
Resilience of Tropical Dry Forests
• 1) Tropical dry forests (that constitute about
2/3 of India’s forest cover) have intrinsic
resilience to climatic variability in the face
of disturbances such as drought and fire.
Carbon stocks increased in spite of stress.
• 2) In this respect the Tropical Dry Forests
may be different from Tropical Moist
Forests that are highly sensitive to such
environmental stresses.
How to Green India?
• Prime Minister has announced
an ambitious programme of
“Green India” with 6 million
ha to be afforested in 5 years
• Climate change considerations
have to be integrated with this
effort if we are to promote
adaptation
• Greening is not just about
planting trees but also about
WHAT to plant and WHERE
to plant
• Planting to facilitate migration
Providing Corridors at Landscape Scales
• Both plant and animal species
need to adapt through
migration along latitudinal
and altitudinal gradients
• Habitat fragmentation would
be a constraint to migration,
especially in species with
limited dispersal abilities
• “Corridors” across large
landscapes are needed for
effective dispersal and
establishment of species
Corridors across the Nilgiri-Mysore
Elephant Landscape in S. India
* Bangalore
Protected Area Network
• India has nearly 600 Protected
Areas (National Parks/Sanctuaries)
• These perhaps offer the best
insurance for adaptation to CC
because diverse forests/ecosystems
are more likely to have species that
have climate tolerance
• Need to redesign Protected Areas
taking into consideration possible
changes in ecosystem structure and
function as a result of future
climate change
Network of
long-term ecological observatories
• Need to set up a number of ecological
observatories at representative sites of the
different biomes in the country (e.g. W. and E.
Himalaya, Mangroves, Island ecosystems, Arid
zone, Western Ghats, Central India)
• Hierarchy of studies from the ecophysiology of
individual species to community-level and
landscape level monitoring using remote sensing
through multi-institutional collaboration