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Forest conservation, afforestation and reforestation in India: Implications for forest carbon stocks

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Abstract

This article presents an assessment of the implications of past and current forest conservation and regeneration policies and programmes for forest carbon sink in India. The area under forests, including part of the area afforested, is increasing and currently 67.83 mha of area is under forest cover. Assuming that the current trend continues, the area under forest cover is projected to reach 72 mha by 2030. Estimates of carbon stock in Indian forests in both soil and vegetation range from 8.58 to 9.57 GtC. The carbon stock in existing forests is projected to be nearly stable over the next 25 year period at 8.79 GtC. However, if the current rate of afforestation and reforestation is assumed to continue, the carbon stock could increase from 8.79 GtC in 2006 to 9.75 GtC by 2030 - an increase of 11%. The estimates made in this study assume that the current trend will continue and do not include forest degradation and loss of carbon stocks due to biomass extraction, fire, grazing and other disturbances.
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*For correspondence. (e-mail: ravi@ces.iisc.ernet.in)
Forest conservation, afforestation and
reforestation in India: Implications for
forest carbon stocks
N. H. Ravindranath1,*, Rajiv Kumar Chaturvedi2 and Indu K. Murthy2
1Centre for Sustainable Technologies, and 2Centre for Ecological Sciences, Indian Institute of Science, Bangalore 560 012, India
This article presents an assessment of the implications
of past and current forest conservation and regenera-
tion policies and programmes for forest carbon sink in
India. The area under forests, including part of the
area afforested, is increasing and currently 67.83 mha
of area is under forest cover. Assuming that the cur-
rent trend continues, the area under forest cover is
projected to reach 72 mha by 2030. Estimates of car-
bon stock in Indian forests in both soil and vegetation
range from 8.58 to 9.57 GtC. The carbon stock in ex-
isting forests is projected to be nearly stable over the
next 25 year period at 8.79 GtC. However, if the cur-
rent rate of afforestation and reforestation is assumed
to continue, the carbon stock could increase from
8.79 GtC in 2006 to 9.75 GtC by 2030 – an increase of
11%. The estimates made in this study assume that
the current trend will continue and do not include
forest degradation and loss of carbon stocks due to
biomass extraction, fire, grazing and other distur-
bances.
Keywords: Afforestation, carbon stocks, conservation,
reforestation.
INDIA is a large developing country known for its diverse
forest ecosystems and is also a mega-biodiversity country.
Forest ecosystems in India are critical for biodiversity,
watershed protection, and livelihoods of indigenous and
rural communities. The National Communication of the
Government of India to the UNFCCC has reported1 that
the forest sector is a marginal source of CO2 emissions.
India has formulated and implemented a number of poli-
cies and programmes aimed at forest and biodiversity
conservation, afforestation and reforestation. Further, India
has a goal2 to bring one-third of the geographic area un-
der forest and tree cover by 2012. All forest policies and
programmes have implications for carbon sink and forest
management. This article presents an assessment of the
implications of past and current forest conservation and
regeneration policies and programmes for forest carbon
sink in India. It also estimates the carbon stocks under
current trend scenario for the existing forests as well as
new area brought under afforestation and reforestation for
the period 2006–30.
We have primarily relied on published data from the
Ministry of Environment and Forests (MOEF), Govern-
ment of India (GOI); Food and Agricultural Organization
of United Nations (FAO), and Forest Survey of India
(FSI). We have used the Comprehensive Mitigation Analy-
sis Process (COMAP) model for projecting carbon stock
estimates. The article is based only on past trends from
1980 to 2005 and uses the assumption – ‘if the current trend
continues’. We feel that such an assumption is well justi-
fied because, despite the increase in population and in-
dustrialization during 1980–2005, forest area in India not
only remained stable but has marginally increased. This
is due to favourable policies and initiatives pursued by
GOI. We expect that India will not only keep pursuing
aggressive policies of afforestation and forest conserva-
tion, but also go a step forward. A case in point is the
Prime Minister’s recently announced ‘6 mha greening
programme’. If the assumptions of continuation of cur-
rent rates of afforestation, forest conservation policies
and no significant degradation of forest carbon stocks are
changed, the future carbon stocks projected will also
change.
Area under forests
According to FSI, ‘all lands, more than one hectare in
area, with a tree canopy density of more than 10 per cent
are defined as Forest’. The total forest cover in India ac-
cording to the latest3 State of Forest Report 2003 is
67.83 mha and this constitutes 20.64% of the geographic
area. The distribution of area under very dense, dense and
open forest is given in Table 1. Dense forest dominates,
accounting for about half of the total forest cover. Tree
cover (which includes forests of less than 1 ha) is 9.99 mha
(3.04%). The total area under forest and tree cover is
77.82 mha, which is 23.68% of the geographic area (Table 1).
FAO4 defines forests as ‘Land spanning more than 0.5 ha
with trees higher than 5 m and a canopy cover of more
than 10%, or trees able to reach these thresholds in situ’.
And other woodlands as ‘Land not classified as “Forest”,
spanning more than 0.5 ha; with trees higher than 5 m
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CURRENT SCIENCE, VOL. 95, NO. 2, 25 JULY 2008 217
and a canopy cover of 5–10 per cent, or trees able to
reach these thresholds in situ; or with a combined cover
of shrubs, bushes and trees above 10 per cent. Both of
these categories do not include the land that is predomi-
nantly under agricultural or urban land use’. According to
FAO, the area under forests and other wooded land in
India has increased from 63.93 mha in 1990 to 67.70 mha
in 2005. Thus FAO estimates do not significantly differ
from FSI estimates.
Trends in area under forest and tree cover
The FSI has been periodically estimating the forest cover
in India since 1987, using remote sensing techniques. The
forest cover reported5 for 1987 was 64.08 mha and ac-
cording to the latest assessment3 for 2003, the forest
cover is 67.83 mha. This indicates an increase in forest
cover of 3.75 mha over a period of 15 years (Figure 1). It
can be observed from Figure 1 that the forest cover in In-
dia has nearly stabilized and has been increasing margin-
ally over the years3,5–12. FSI has included the tree cover in
the 2001 and 2003 assessments3,6, in addition to forest
cover. The area under tree cover reported is also found to
be marginally increasing (Figure 1).
Afforestation and reforestation programmes
India has been implementing an aggressive afforestation
programme. The country initiated large-scale afforesta-
tion under the social forestry programme starting in the
Table 1. Status of forest cover in India3,4
Per cent
Tree crown class Area (mha) geographic area
Very dense forest (>70%) 5.13 1.56
Dense forest (40–70%) 33.93 10.32
Open forest (10–40%) 28.78 8.76
Mangroves 0.45 0.14
Total forest cover 67.83 20.64
Tree cover 9.99 3.04
Total 77.82 23.68
Forest cover according to FAO 67.7
0
10
20
30
40
50
60
70
80
9
0
1987 1989 1991 1993 1995 1997 1999 2001 2003
Forest and tree cover (Mha)
Forest cover Tree cover
Figure 1. Trends in area under forest and tree cover3,5–12.
early 1980s. Figure 2 shows the progress of afforestation
in India for the period 1951–2005. It can be seen from
Figure 2 that the cumulative area afforested in India dur-
ing the period 1980–2005 is about 34 mha, at an average
annual rate2 of 1.32 mha2. This includes community wood-
lots, farm forestry, avenue plantations and agro-forestry.
Afforestation and reforestation in India are being carried
out under various programmes, namely social forestry
initiated in the early 1980s, Joint Forest Management
Programme initiated in 1990, afforestation under National
Afforestation and Eco-development Board (NAEB) pro-
grammes since 1992, and private farmer and industry-
initiated plantation forestry.
Future trends in area under forests and
afforestation
The projections for area under forest as well as area affor-
ested are based on current trends or what is generally
termed the ‘current trend scenario’. The current trend sce-
nario is based on the past, current and short-term affore-
station plans. The projections exclude the tree cover
component as reported in 2001 and 2003 by the FSI.
Projections for area under forest cover based on
current trend scenario
The forest cover is projected up to 2030, based on the
past and current trends, as reported by the periodic re-
Figure 2. Cumulative area afforested2 during 1951–2005.
0
10
20
30
40
50
60
70
80
1987
1989
1991
1993
1995
1997
1999
2001
2003
2005
2007
2009
2011
2013
2015
2017
2019
2021
2023
2025
2027
2029
2031
Fores t cov er (Mha )
Figure 3. Projected trend in forest cover under the current trend sce-
nario3,5–12.
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CURRENT SCIENCE, VOL. 95, NO. 2, 25 JULY 2008
218
ports of the FSI. It can be observed from Figure 3 that the
forest cover will continue to increase all the way up to
2030. The forest cover is projected to reach 72.19 mha by
2030, assuming that the current trend scenario will con-
tinue.
Projected afforestation rates based on current
trends
The long-term average annual rate of afforestation over
the period 1980–2005 is 1.32 mha. Assuming the average
rate2 of 1.32 mha for the period 2006–30, the total area
that would be afforested is 33 mha. The cumulative area
afforested would be 70.5 mha by 2030 (Figure 4). This
includes short- and long-rotation plantation forestry as
well as natural regeneration. It is important to note that
some of the afforested area, particularly short-rotation
plantations, is likely to be periodically harvested and re-
planted or left for coppice regrowth.
Carbon stocks in forests
The forest sector could be a source or a sink of carbon.
Forest carbon stock includes biomass and soil carbon
pools. Biomass carbon can be further disaggregated into
aboveground and belowground biomass and dead organic
matter. Change in forest carbon stock between two time
periods is an indicator of the net emissions of CO2 from
the sector. Carbon stocks are estimated and projected for
the period 2005–30.
Methodology
The COMAP model13 is a set of versatile models with the
ability to analyse the mitigation potential as well as cost-
effectiveness of diverse activities such as forest conserva-
tion (e.g. Protected Areas and halting forest conversion),
Figure 4. Projected afforestation under the current trend scenario.
natural regeneration (with no logging) and afforesta-
tion/reforestation through plantation forestry, including
short- as well as long-rotation forestry (with logging or har-
vesting).
Assessment of mitigation activities using the COMAP
model would involve consideration of the following:
Land availability for different mitigation activities
during different years.
Wood product demand and supply to ensure that socio-
economic demands are met with and real additional
mitigation is feasible.
Developing a baseline or current trend scenario to enable
estimation of incremental carbon mitigation.
Developing a mitigation scenario incorporating the
extent of area to be covered for meeting different
goals.
Data required for assessing different activities: The data
required for assessing the mitigation potential of affore-
station and reforestation include land area-related infor-
mation, baseline carbon density (tC/ha) in above-ground
vegetation and soil, rotation period, above-ground woody
biomass accumulation rate (tC/ha/yr), soil carbon en-
hancement rate (tC/ha/yr), and cost and benefit flows. In-
put data were obtained from the literature14,15.
Outputs of the COMAP model: These include mitiga-
tion potential estimates per ha and aggregate tonnes of
carbon benefit, annual carbon stocks, carbon stocks for a
given year such as 2008 and 2012 and cumulative over a
period, and cost-effectiveness parameters.
Carbon stock estimates
Estimates for the forest carbon stocks, including biomass
and soil carbon from previous studies are given in Figure
5. According to an earlier estimate by Richards and Flint16,
0
2000
4000
6000
8000
10000
12000
1880
1980
1986
1986
1994
2005
Carbon stock (MtC)
Biomass carbon Soil carbon
Figure 5. Trends in carbon stock estimates for Indian forests15–19.
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CURRENT SCIENCE, VOL. 95, NO. 2, 25 JULY 2008 219
0
1000
2000
3000
4000
5000
6000
7000
8000
9000
10000
2006 2008 2010 2012 2014 2016 2018 2020 2022 2024 2026 2028 2030
Carbon stock (MtC)
Fores t Short rotation Lon g r ot ati on Natural regeneration
0
2000
4000
6000
8000
10000
12000
2006 2008 2010 2012 2014 2016 2018 2020 2022 2024 2026 2028 2030
Carbon stock (MtC
)
Soil c arb on Biomass carbon
Figure 6. Projected forest carbon stocks. a, Under the current trend scenario for existing forests and area afforested (short- and
long-rotation and natural regeneration). b, According to biomass and soil carbon.
the biomass carbon stock in Indian forests was 7.94 MtC
during 1880. This study does not provide soil carbon esti-
mates. Further estimates by the same authors for 1980
showed that forest biomass carbon stock had declined by
nearly half over a period of 100 years. Estimates17–19 of
forest carbon stock, including biomass and soil carbon for
the year 1986, are in the range 8.58–9.57 GtC. According
to a latest estimate by FAO4, total forest carbon stock in
India is 10.01 GtC. Thus, the carbon stocks in Indian forests
have not declined, and in fact seem to have increased,
over a period of 20 years (1986–2005). Forest soil carbon
accounts for over 50% of the total forest carbon stock.
Carbon stock projections under current trend
scenario
Carbon stock projections for the existing forests as well
as new area brought under afforestation and reforestation
for the current trend scenario are made for the period
2006–30. The carbon stock projections are made using
the COMAP model. The forest cover data were obtained
from the projections made using the FSI area trends (Fig-
ure 3) and afforestation rates were obtained from the past
trends (average annual rate of 1.32 mha). The biomass
and soil carbon stock and growth rates were obtained from
published literature14,15. The afforestation rate of 1.32 mha/
annum was allocated to short- and long-rotation and natu-
ral regeneration at 63.7, 32.2 and 4.1% respectively,
based on the previous years’ trend12.
The carbon stock projections for the period 2006–30
are given in Figure 6. The carbon stock in the existing for-
ests is projected to be nearly stable over the 25-year pe-
riod at 8.79 GtC (Figure 6 a). When afforestation and
reforestation is included, the carbon stock is projected to
increase from 8.79 GtC in 2006 to 9.75 GtC by 2030,
about 11% increase (Figure 6 a). It is important to note
that COMAP model accounts for harvests and the result-
ing emissions. Thus, Indian forests will be a net sink over
the next 25 years. Figure 6 b shows the dominance of soil
carbon in the total forest carbon stock.
Factors contributing to stabilization of carbon
stocks in Indian forests
India is one of the few countries where deforestation rate
has been reduced and regulated and forest cover nearly
stabilized, unlike most other tropical countries. Further,
the projections of carbon stocks for the period 2006–30
showed that the carbon stock will increase. Thus, it is
important to understand the likely factors contributing to
the observed and projected stabilization of forest cover as
well as forest carbon stocks in India. The factors include
legislations, forest conservation and afforestation pro-
grammes, and community awareness and participation.
Forest Conservation Act, 1980
This Act is one of the most effective legislations contrib-
uting to reduction in deforestation. This was enacted to
reduce indiscriminate diversion of forest land for non-
forestry purposes, and to help regulate and control the re-
corded forest land-use changes.
Compensatory afforestation
According to Forest Conservation Act, 1980, when after
careful consideration forest land is released for any infra-
structure projects, it is mandatory for compensatory plan-
tations to be raised on an equivalent non-forested land or
equal to double the area on degraded forestland.
Wildlife parks and protected area
In India, 15.6 mha is Protected Area, where all human in-
tervention or extraction is banned.
Afforestation
India has been implementing large-scale afforestation/
reforestation since 1980 under social forestry, Joint Forest
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CURRENT SCIENCE, VOL. 95, NO. 2, 25 JULY 2008
220
Management, silvi-pasture, farm forestry and agro-forestry
programmes, covering over 30 mha. This may have reduced
pressure on the forests.
National Forest Policy, 1988
It envisages people’s participation in the development and
protection of forests. The basic objective of this policy is
to maintain environmental stability through preservation
of forests as a natural heritage.
Joint Forest Management (JFM), 1990
The Forest Policy 1988 set the stage for participatory forest
management in India. The JFM programme recognized
the rights of the protecting communities over forest lands.
The local communities and the Forest Department jointly
plan and implement forest regeneration programmes and
the communities are rewarded for their efforts in protection
and management. The total area covered under the JFM
programme is over 15 mha. This has enabled protection
of existing forests, regeneration of degraded forests and
raising of forest plantations, potentially contributing to
conservation of existing forests and carbon stocks.
Significance of stabilization of forest carbon
stocks in India
India is one of the few countries in the world, particularly
among the tropical countries, where carbon stock in forests
has stabilized or is projected to increase. This has impli-
cations for reducing the carbon emissions from forest sector,
potentially contributing to stabilization of CO2 concentra-
tion in the atmosphere. This Indian achievement is sig-
nificant due to the following.
High population density and low per capita
forest area
India is a large developing country with a population
density of 363 persons/km2. Even more significantly, the
forest area per capita is only 0.06 ha, compared to the world
average of 0.62 ha/capita and Asian average of 0.15 ha/
capita. A comparison of key developing countries and
Western European countries4 is provided in Table 2. For-
ests and wooded land area per 1000 population in Germany
and France is nearly two and five times that of India.
Similarly, forest and wooded land in other major develop-
ing countries such as Brazil, China and Indonesia are also
higher by 3 to 40 times, as compared to India.
Low deforestation rate compared to other
developing countries
According to the Global Forest Resources Assessment4,
countries such as India and China are experiencing an in-
crease in forest area since 1990 (Table 3). However, majo-
rity of the other tropical countries with large area under
forests are experiencing deforestation on a significant
scale since 1990 (Table 3). Majority of the countries (42–
65%) are experiencing reduction in forest area or net de-
forestation4 (Table 4).
High dependence of human population on forests
In India, nearly 196,000 villages are in the forests or on the
forest fringes. Fuelwood is a dominant source of cooking
energy for the rural population with forests contributing
significantly to this. Apart from fuelwood, village commu-
nities depend on forests for small timber, bamboo and non-
timber forest products.
High livestock density
India accounts for 2.3% of the world’s geographic area,
but accounts for 15% of the global livestock population.
The cattle (cows, bullocks and buffaloes) population den-
sity is nearly one per hectare. When sheep and goats are
included along with cattle, the livestock population den-
sity further increases to 1.5 per hectare. However, if only
forest land is considered, the livestock density is 7 per
hectare, which is among the highest in the world.
Table 2. Comparison of total forest area and forest area/1000 population4
Total area under Forest and wooded
Population Forest area Other wooded forest and wooded land (ha/1000
Country (million) (‘000 ha) land (‘000 ha) land (‘000 ha) population)
India 1079 67,701 4110 71,811 66
China 1326 197,290 87,615 284,905 215
Brazil 178 477,698 0 477,698 2673
Indonesia 217 88,495 0 88,495 406
Germany 82 11,076 0 11,076 134
United Kingdom 59 2845 20 2865 48
France 59 15,554 1708 17,262 287
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CURRENT SCIENCE, VOL. 95, NO. 2, 25 JULY 2008 221
Table 3. Comparison of forest area change and deforestation (in ‘000 ha) in other major developing countries4
Net annual change in Area under forest Net annual change in
forest area (‘000 ha) (‘000 ha) forest area (‘000 ha)
Key developing
Region 1990 to 2000 2000 to 2005 countries 1990 2000 2005 1990–2000 2000–2005
Asia –792 1003 China 157,141 177,001 197,290 1986 4058
India 63,939 67,554 67,701 362 29
Indonesia 116,567 97,852 88,495 –1872 –1871
Malaysia 22,376 21,591 20,890 –78 –140
Philippines 10,574 7949 7162 –262 –157
Africa –4375 –4040 Sudan 76,381 70,491 67,546 –589 –589
Zambia 49,124 44,676 42,452 –445 –445
UR Tanzania 41,441 37,318 35,257 –412 –412
Nigeria 17,234 13,137 11,089 –410 –410
South Africa 9203 9203 9203 0 0
South America –3802 –4251 Brazil 520,027 493,213 477,698 –2681 –3103
Argentina 35,262 33,770 33,021 –149 –150
Mexico 69,016 65,540 64,238 –348 –260
Peru 70,156 69,213 68,742 –94 –94
Columbia 61,439 60,963 60,728 –48 –47
Table 4. Countries with positive, negative and zero or marginal annual rate of change in forest area4
Countries with negative Countries with positive Countries with zero net Countries with no
Total number rate of net annual change rate of net annual change annual change in forest significant net annual change
Region of countries in forest area (2000–05) in forest area (2000–05) area (2000–05) in forest area (2000–05)
Asia 48 20 13 12 3
Africa 58 38 8 8 4
South America 15 8 2 3 2 (not available)
Dominance of agrarian economy
Rural areas in India are characterized by large depend-
ence of the population on land resources, particularly
cropland and forest land, leading to more human pressure
on land.
Implications of Indian forest conservation and
development programmes and policies for global
change
India is a large developing country with a high population
density and low forest area per capita. The livestock
population density is among the highest in the world. Fur-
ther, nearly 70% of the population residing in rural areas
depends on forest and other biomass resources for fuel-
wood, timber and non-timber forest products for its en-
ergy needs and livelihood. In such a socio-economic
scenario, one would have expected the forest area to decline,
leading to large emissions of CO2 from the forest sector.
The analysis of forest cover, afforestation and refores-
tation has shown that the forest cover has stabilized in the
past 15 years (64–67 mha). Projections under the current
trend scenario indicate that the forest cover is likely to
increase in the period 2006–30. Further, model-based
projections of carbon stocks in the Indian forest sector
show a likely increase (from 8.79 GtC in 2005 to 9.75 GtC
in 2030). This is a significant achievement for a develop-
ing country such as India, despite high human and live-
stock population density, high dependence of rural
communities on forests for biomass resources and low per
capita forest area. The factors contributing to the current
and projected trends of stable or increasing carbon stocks
in the forests are progressive and effective forest conser-
vation legislations, afforestation and reforestation pro-
grammes and community participation in forest protection,
regeneration and management.
The progressive conservation-oriented forest policies
and afforestation programmes are contributing to reduc-
tion in CO2 emissions to the atmosphere, stabilization of
carbon stocks in forests and conservation of biodiversity.
Thus, the Indian forest sector is projected to keep making
positive contributions to global change and sustainable
development. This projected estimate and conclusion ex-
cludes any potential decline in forest carbon stocks due to
forest conversion, forest degradation, biomass extraction,
fire, etc.
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CURRENT SCIENCE, VOL. 95, NO. 2, 25 JULY 2008
222
1. Ministry of Environment and Forests, India’s Initial National
Communication to UNFCCC (NATCOM), New Delhi, 2004;
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3. Forest Survey of India, State of Forest Report 2003, Ministry of
Environment and Forests, Dehra Dun.
4. FAO, State of the World’s Forests, Rome, 2005.
5. Forest Survey of India, State of Forest Report 1987, Ministry of
Environment and Forests, Dehra Dun.
6. Forest Survey of India, State of Forest Report 2001, Ministry of
Environment and Forests, Dehra Dun.
7. Forest Survey of India, State of Forest Report 1989, Ministry of
Environment and Forests, Dehra Dun.
8. Forest Survey of India, State of Forest Report 1991, Ministry of
Environment and Forests, Dehra Dun.
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Environment and Forests, Dehra Dun.
10. Forest Survey of India, State of Forest Report 1995, Ministry of
Environment and Forests, Dehra Dun.
11. Forest Survey of India, State of Forest Report 1997, Ministry of
Environment and Forests, Dehra Dun.
12. Forest Survey of India, State of Forest Report 1999, Ministry of
Environment and Forests, Dehra Dun.
13. Sathaye, J. and Meyers, S., Greenhouse Gas Mitigation Assess-
ment: A Guidebook, Kluwer, Dordrecht, The Netherlands, 1995.
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gation projects: A case study of Kolar district. Miti. Adap. Strat.
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15. Ravindranath, N. H., Sudha, P. and Sandhya, R., Forestry for sus-
tainable biomass production and carbon sequestration in India.
Miti. Adap. Strat. Global Change, 2001, 6, 233–256.
16. Richards, J. F. and Flint, E. P., Historic land use and carbon esti-
mates for South and Southeast Asia 1880–1980. ORNL/CDIAC-
61, NDP-046, Oak Ridge National Laboratory, Tennessee, USA,
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ACKNOWLEDGEMENTS. We thank the MOEF, GOI for supporting
this project as well as climate change research activities at the Centre
for Ecological Sciences, Indian Institute of Science, Bangalore. We
also thank Jayant Sathaye and Ken Andrasko for their support in our
climate change research over the years.
Received 12 July 2007; revised accepted 22 May 2008
Erratum
Sago starch: An economical substitute for in vitro primary screening of starch utilizing microorganisms
R. B. Binky, R. Saikiran, S. Tushar, P. Umesh, J. Yogesh and A. N. Syed
[Curr. Sci., 2007, 93, 459–461]
Line 1, para 2, 2nd column should have been:
1. Successful use of isabgol derived from Plantago ovata seeds, gum katira exuded from Cochlospermum religiosum
bark and guar gum from endosperm of Cyamopsis tetragonoloba as gelling agent has been reported for microbial
culture media3,6,7.
2. Nene, Z. L. in ref. 6 should have been Nene, Y. L.
We regret the error. —Authors
... The Ministry of Environment and Forests passed the Forest Conservation Act (FCA), in 1980, to control the destruction of forests by requiring state governments to request permission from the federal government before taking any action (Sarin, 2005). According to this law's provisions for "compensatory afforestation," compensatory plantings were to be grown on non-forested land that was geographically similar to the converted forestland or twice the size of the converted forestland (Ravindranath et al., 2008). According to a recent study by Balaji (2014), the FCA operated in an asymmetrical power environment in 1980, which included nonrecognition of pre-existing rights over forests and ambiguities in access to necessary information. ...
... During this time, Joint Forest Management (JFM) got started. Social forestry, which was established by the NCA in 1972, turned out to be the forerunner of this future JFM project in 1990 (Ravindranath et al., 2008). According to Deb (2020), JFM called on those who depended on forests to preserve them in exchange for usufructs. ...
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Policy aiming at undoing the pervasive consequences of environmental deterioration increasingly includes ecological restoration. It entails actions that support the restoration of ecosystem structure and function, as well as the provision of products and services that go along with it. Ecological restoration, which is based on ecological theory, necessitates an interdisciplinary strategy involving soil science, hydrology, conservation biology, as well as the pertinent socioeconomic and political frameworks. Interventions for ecological restoration also rely on practical disciplines like forestry, horticulture, and agriculture. In order to promote collaboration among experts with the vast range of backgrounds and abilities required for effective restoration practises, we define some of the key approaches and challenges of ecological restoration. Reforestation, regrowth, and forest regeneration are now being acknowledged despite the continuous emphasis on deforestation in the field of land cover change. Such documentation had previously only been discovered for rich countries, but in more recent years, it has also been discovered in poor countries, and this appears to be the result of a variety of causes. To better understand these specific instances of reforestation and regrowth, and through this process, to better understand the dominant processes, pathways, and drivers of reforestation and forest regrowth on the landscape, this chapter brings together many of the authors working on this topic, studying regions from all over the world and Bharat.
... It has been promoting sustainable agricultural practices (Priyadarshini & Abhilash, 2020) and adopting green energy through the national solar mission, as India is the global leader in solar energy (Quitzow, 2015). It is also making efforts to control the population through its National Population Policy (NPP) (Lai, 2000) and the reduction of fossil fuels through forest conservation by the National Afforestation Programme (NAP) (Ravindranath et al., 2008). The Indian government focussed on carbon emissions reduction through the Perform and Achieve Trade (PAT) scheme (Bhandari & Shrimali, 2018), clean cooking fuel usage (Dabadge, 2018), and the National Clean Air Programme (NCAP) (Ganguly et al., 2020). ...
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India’s rapid industrialisation and burgeoning population have positioned the nation as a leading global carbon dioxide emitter primarily responsible for climate change. This study delves into various critical factors driving emissions and proposes actionable strategies for a sustainable green economy. This study examines the impact of the energy mix (comprising fossil fuel usage and green energy consumption), forest cover, population, and agricultural production towards carbon emissions (CO2) in India from 1990 to 2019. This study makes use of the autoregressive distributed lagged model and co-integration analysis. The study also uses the Toda and Yamamoto causality test to explore causal relationships among variables. While green energy shows potential for CO2 reduction, further efforts are needed to promote its use. The present study necessitates several urgent and robust policy interventions, including transitioning to clean energy, enforcing afforestation initiatives, managing population growth sustainably, and promoting eco-friendly agricultural practices. These measures are essential for balancing economic growth with environmental sustainability, aligning with India’s commitment to meeting the sustainable development goals. Graphical abstract
... These efforts have mitigated the effect of deforestation, helped to slow down the rate of forest loss, brought balance to the natural landscape, and provided necessary resources for the environment's health. Figure 2 shows that the total forest cover in India has been expanding at a slower pace since 2010, due to policy changes and to check on deforestation, banning shifting agriculture, government initiatives such as agro-forestry, farm forestry, social forestry, Van Mahotsav, afforestation and reforestation (Ravindranath et al., 2008). Significant positive growth has been seen since the implementation of SDG. ...
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The drastic increase in human population has shaped our terrestrial nature, leading to a huge biodiversity loss. Ten thousand years ago, nearly 60 percent of the world's habitable land was covered with forest, and currently, half of the total flora and fauna is lost. Agriculture and various developmental projects act as a driving force for deforestation, complementing the growing population. This paper analyzes the trends and prospects of SDG 15 (Sustainable Development Goals) dealing with forest sustainability. Even though the National Forest Policy's recommendation suggests the viability of having 33 percent of forest land out of the total land area, to maintain ecological balance. India's existing forest coverage is merely 25 percent. While evaluating the trend data on and before SDG 15 implementation, it is identified that the country is progressing at a slower pace towards the SDG target. To fulfill the framed target(s) by 2030, policy interventions such as forest conservation awareness campaigns, re-establishing forests, and adopting institutional mechanisms for forest preservation are crucial.
... Plantation forests are also recognized as a receptacle of carbon stock like natural forests, since stand age is the leading factor affecting the total carbon pool of plantation ecosystems (Justine et al 2015). In India, increasing forest plantations, regenerating damaged forests, and protecting existing stands have all significantly increased productivity of ecosystem and carbon content in soil (Ravindranath et al 2008). The soil organic carbon (SOC) pool in forest soils is crucial for predicting and assessing the carbon sequestration potential of forests. ...
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The carbon storage potentiality of forest land use systems has been recognized as a major factor in the recent climate change scenario. The current study was designed to quantify the soil organic carbon (SOC) stocks at three soil depths (0-20 cm, 20-40 cm and 40-60 cm) in Gaertn. f. (Sal) plantations along the elevation gradients of 150-300 m, 300-450 m, 450-600 m and 600-750 m in the Shorea robusta Darjeeling Himalayas. There was an increasing trend of SOC stock along the elevation gradient, reaching the maximum stock (67.53 Mg C ha-1-1) 26.81Mg C ha) at the mid elevational range of 450-600 m at the surface soil layer and the minimum (at 150-300 m. The highest elevational range (600-750 m) was quantified with significantly lesser SOC stock (than 450-600 m elevational range. Correlation between 51.01 Mg C ha)-1 elevation gradient and SOC stock exhibited moderate positive relationship between the two (R = 0.485). 2
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This chapter dissects the Climate-Smart Agriculture (CSA) practices and technologies and provides a traction of their impacts on climate change (CC) adaption. It explicitly examines the emerging climate and agricultural development perspectives. It offers insights into their nexus in India with a comparison to South Africa as a typical example of developing countries in Asia and Africa. The paper also unravels the trend in feminisation of agriculture, and the ongoing legislation and programme initiatives in India and South Africa to address challenges related to climate change. The methodology adopted qualitative data generation through intensive desk scoping of previous CSA studies, organisational literature and publications in peer-reviewed journals addressing CC impacts on natural resources, agroecosystems and livelihoods in the two countries. The literature revealed that both countries hold immense potential for CSA, but the initiatives to implement the CSA concept are still in their execution stages. Those initiatives being piloted are facing multifaceted challenges and have not been patently established. With both indigenous approaches and research-based interventions possessing CSA qualities, it is suggestive that scaling up CSA will necessitate intersectional and multi-level efforts to allow the design, implementation and monitoring of context-specific approaches towards integrated prioritisation of CSA. Keywords: Climate-smart agriculture, Smallholder farmers,India, South Africa
Technical Report
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This data base contains estimates of land use change and the carbon content of vegetation for South and Southeast Asia for the years 1880, 1920, 1950, 1970, and 1980. These data were originally collected for climate modelers so they could reduce the uncertainty associated with the magnitude and time course of historical land use change and of carbon release. For this data base, South and Southeast Asia is defined as encompassing nearly 8 × 106 km2 of the earth's land surface and includes the countries of India, Sri Lanka, Bangladesh, Myanmar (Burma), Thailand, Laos, Kampuchea (Cambodia), Vietnam, Malaysia, Brunei, Singapore, Indonesia, and the Philippines. The most important change in land use over this 100-year period was the conversion of 107 × 106 ha of forest/woodland to categories with lower biomass. Land thus transformed accounted for 13.5% of the total area of the study region. The estimated total carbon content of live vegetation in South and Southeast Asia has dropped progressively, from 59 × 109 Mg in 1880 to 27 × 109 Mg in 1980. Throughout the study period, the carbon stock in forests was greater than the carbon content in all other categories combined, although its share of the total declined progressively from 81% in 1880 to 73% in 1980. The data base was developed in Lotus 1-2-3TM by using a sequential bookkeeping model. The source data were obtained at the local and regional level for each country from official agricultural and economic statistics (e.g., the United Nations Food and Agriculture Organization); historical geographic and demographic texts, reports, and articles; and any other available source. Because of boundary changes through time and disparities between the validity, availability, and scale of the data for each country, the data were aggregated into 94 ecological zones. The resulting data base contains land use and carbon information for 94 ecological zones and national totals for 13 countries. The directory to which the above link leads provides 90 Lotus 1-2-3TM files, three ARC/INFOTM export files, and five ASCII data files. We advise users to use the file transfer protocol (FTP) to download the binary spreadsheet *.wk1 files; please consult the ndp046.txt documentation file or Accessing CDIAC via FTP for instructions. In addition to these, a descriptive file that explains the contents and format of each data file and four FORTRAN and SAS TM retrieval programs for use with the ASCII data files are included. For access: http://cdiac.ornl.gov/ndps/ndp046.html
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The major pools including phytomass, soil, litter, and fluxes of carbon (C)due to litterfall and landuse changes were estimated for Indian forests. Basedon growing stock-volume approach at the state and district levels, the Indianforest phytomass was estimated in the range of 3.8–4.3 PgC. The totalsoil organic pool in the top 1m depth was estimated as 6.8 PgC, usingestimated soil organic carbon densities and Remote Sensing (RS) based area byforest types. Based on 122 published Indian studies and RS-based forest area,the total litterfall carbon flux was estimated as 208.8 MgCha–1 yr–1.The cumulative net carbon flux (1880–1996) from Indian forests(1880–1996) due to landuse changes (deforestation, afforestation andphytomass degradation) was estimated as 5.4 PgC, using a simple book-keepingapproach. The mean annual net C flux due to landuse changes during1985–1996 was estimated as 9.0 TgC yr–1. For the recentperiod, the Indian forests are nationally a small source with some regionsacting as small sinks of carbon as well. The improved quantification of poolsand fluxes related to forest carbon cycle is important for understanding thecontribution of Indian forests to net carbon emissions as well as theirpotential for carbon sequestration in the context of the Kyoto protocol.
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There is a need to assess climate change mitigation opportunities in forest sector in India in the context of methodological issues such as additionality, permanence, leakage and baseline development in formulating forestry mitigation projects. A case study of forestry mitigation project in semi-arid community grazing lands and farmlands in Kolar district of Karnataka, was undertaken with regard to baseline and project scenario development, estimation of carbon stock change in the project, leakage estimation and assessment of cost-effectiveness of mitigation projects. Further, the transaction costs to develop project, and environmental and socio-economic impact of mitigation project was assessed. The study shows the feasibility of establishing baselines and project C-stock changes. Since the area has low or insignificant biomass, leakage is not an issue. The overall mitigation potential in Kolar for a total area of 14,000 ha under various mitigation options is 278,380 t C at a rate of 20 t C/ha for the period 2005–2035, which is approximately 0.67 t C/ha/year inclusive of harvest regimes under short rotation and long rotation mitigation options. The transaction cost for baseline establishment is less than a rupee/t C and for project scenario development is about Rs. 1.5–3.75/t C. The project enhances biodiversity and the socio-economic impact is also significant.
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The paper quantifies the role of Indian forests as source or sink of carbon. The model used in the study takes into account the growing stock, additional tree organs, dead biomass, litter layer and soil organic matter, harvesting and harvesting losses, effects of pests, fire etc., allocation of timber to wood products, life span of products including recycling and allocation to landfills. The net carbon balance calculated as the net source or sink of the forest sector was assessed for the year 1993–94. The study isimportant in view of the obligation placed by the United Nations Framework Convention on Climate Change (UNFCCC) on the signatory nations to provide a periodic update of carbon budget in the atmosphere. For the available data and the underlying assumptions, the results of the carbon budget model indicated that the Indian forest sector acted as a source of 12.8 TgC (including accumulation of carbon in the dead biomass) for the year 1994. The results obtained reinforced the notion that an integrated approach is required in order to evaluate the forest sector's influence on the global atmospheric carbon levels. The model used in this study has the advantage that all the factors determining the carbon budget can be integrated and altered to determine their influence. The study also throws light on the issues that stand in the way of preparing through carbon budget for developing countries like India.
Book
Preface. Notation: Acronyms, initialisms, and abbreviations. Chemical symbols and abbreviations. Units of measurement. 1. Introduction. 2. Basic methods and concepts for mitigation assessment. 3. Mitigation assessment of the energy sector: an overview. 4. Industrial sector. 5. Residential and commercial sectors. 6. Transportation sector. 7. Agricultural sector - energy uses. 8. Conventional energy supply. 9. Renewable energy supply. 10. Introduction and a land-use framework for the non-energy sectors. 11. Forestry sector. 12. Agriculture. 13. Rangelands and grasslands. 14. Waste management. 15. Reporting a mitigation assessment. Glossary. Index.
Article
A sustainable forestry scenario aimed at meeting the projected biomassdemands, halting deforestation and regenerating degraded forests wasdeveloped and analyzed for additionality of mitigation and cost-effectivenessfor India. Similarly, mitigation potential of a commercial forestry scenarioaimed at meeting the biomass demands from forestry activities on privateland was assessed. India has a significant scale baseline scenario afforestationand effective forest conservation activities. India is afforesting at an averagegross rate of 1.55 106 ha yr-1 over the past 10 years, while the gross deforestation rate was 0.272 106 ha yr-1 during the same period. The sustainable forestry scenario could lead to an additional carbon (C) stock of 237 106 Mg C during 2000 to 2012, while the commercial forestry scenario apart from meeting all the incremental biomass demands (estimated for 2000 to 2015) could potentially lead to an additional carbon stock of 78 106Mg C during 2000 to 2012. Short- and Long-rotation forestry activities arecommercially viable. With appropriate policies and financial incentives allthe industrial wood, sawnwood and commercial fuelwood requirementcould be met through commercial forestry, so that government funds couldbe dedicated for conserving state owned forests and meeting subsistencebiomass demands. The commercial forestry activities could receive financialsupport under greenhouse gas (GHG) abatement programmes. The government, however, needs to develop institutions and guidelines to process, evaluate, approve and monitor forestry sector mitigation projects.
Article
The present study estimates the net emission of carbon from the forest sector in India. For the reference year (1986), the gross emission from deforestation in that year, plus committed emissions from deforestation in the preceding years, is estimated to be 64 106 t of C. The carbon sequestration (or net woody biomass accumulation in trees for long-term storage) from the area brought under tree plantations and the existing forest area under forest succession is estimated to offset the gross carbon emission in India, leading to no net emissions of carbon from the forest sector. Medium-term projections for India (for the year 2011) show that under a business as usual scenario at current rates of afforestation, projected carbon emissions would continue to be balanced by sequestration.
Article
"Part I reviews progress at the regional level. This section was developed from six regional reports prepared for discussion in 2006. Part II presents selected issues in the forest sector, addressing the latest developments in 18 topics of interest to forestry."
Methodological Issues in forestry mitigation projects: A case study of Kolar district
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Sathaye, J. and Meyers, S., Greenhouse Gas Mitigation Assessment: A Guidebook, Kluwer, Dordrecht, The Netherlands, 1995. 14. Ravindranath, N. H. et al., Methodological Issues in forestry mitigation projects: A case study of Kolar district. Miti. Adap. Strat. Global Change, 2007, 12, 1077-1098.
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