ARCHIVE
Vol. 1, No. 2
JULY-DECEMBER, 2011
Research Articles
Research Notes and Statistics
Field Reports
Book Reviews
Climate Change and Agriculture:
A Review Article with Special Reference to
T. Jayaraman
Centre for Science, Technology and Society, Tata Institute of Social Sciences, Mumbai, tjayaraman@gmail.com.
Abstract: This paper provides an overview of climate change and agriculture, while paying some specific attention to the impact of climate change on Indian agriculture. This broad-brush account covers both the agronomic and economic aspects of the impact of climate change, as well as a critique of the methodologies used to estimate them. The paper ends with some comments on Indian agricultural policy in the era of climate change. An extended annotated bibliography provides a compendium of the likely impact of climate change on the yield and productivity of several major crops in India; on water-related parameters such as evaporation, water runoff and soil moisture; and on soil productivity, pests and crop diseases.
Keywords: climate change, Indian agriculture, yield gaps, semi-arid agriculture, adaptation, vulnerability, climate policy.
This
paper undertakes a broad survey of the consequences of global warming of
anthropogenic origin (or “climate change,”,
as it is commonly called) and its impact on agriculture. It provides a broadbrushbroad-brush
account of both the biophysical impact of climate change on agriculture, and
its attendant economic and social consequences. Beginning with a discussion on
climate change and agriculture at the global level, the paper goes on to focus
on issues of specific relevance to
The importance of understanding the ongoing impact of climate change on agriculture is often underestimated. Domestic policy considerations require that climate change be factored into development activities that are influenced by the weather and climate. At the same time, scientific evaluations of the immediacy of the impact of climate change and the extent of climate vulnerability are essential to the formulation of national negotiating positions at international climate-change negotiations. An early and equitable international agreement on climate change is beneficial to less-developed countries, but the question of how much delay by developed countries they can tolerate on this issue is of critical strategic interest to them.
Much
of the concern about climate change stems from inferences based on established
and ongoing science, rather than from direct evidence of its current impact. We
therefore provide a brief account of methods of estimating the future impact of
climate variability on agriculture. Additionally, in the case of
The economic impact of climate change, particularly for less-developed countries and especially in sectors like agriculture, is of paramount importance. Existing estimates of such economic impact, however, are even more tenuous than those of physical impact. We briefly describe and evaluate some prevalent methods of estimating the economic impact of climate change on agriculture.
General Introduction
Explaining Climate Change
There is an overwhelming scientific consensus that the Earth’s climate is changing as a consequence of human activity on the planet. The most important aspect of this change is that the average temperature of the Earth is rising, slowly but steadily, as a consequence of the emission of greenhouse gases (GHGs) and their increasing concentration in the atmosphere. Of the greenhouse gases that contribute to global warming, carbon dioxide (CO2) is by far the most significant, although there are other gases that also play this role, notably methane.1 CO2 is emitted when fossil fuels are burnt in any form, ranging from traditional open coal fires to modern devices or processes like thermal power plants or the heating systems of buildings.
A critical factor in the rise in the Earth’s temperature is the quantity of CO2 emitted into the atmosphere. The Earth has a carbon cycle, arising from the partial absorption by oceans and other water bodies, and by vegetation on land, of the CO2 in the atmosphere. Thus, apart from fossil fuel emissions, some of the CO2 absorbed by water on the Earth’s surface is re-emitted into the atmosphere, while the decay of vegetation also releases carbon in the form of methane. Further, there is slow circulation of CO2 from the upper parts of oceans to their lower depths.
As can be
seen, a consequence of the carbon cycle is that the net amount of
CO2 in the atmosphere is not equivalent to the total CO2
that has been emitted. However, both the total stock of CO2 emitted
into the atmosphere and the net stock (after absorption by the carbon cycle)
are relevant to study of the impact of climate change.
The total stock of CO2 is the factor that determines the rise in temperature due to carbon dioxide emissions. Thus, even if all emissions were to cease immediately, the rise in temperature due to earlier emissions would continue for several decades.2 The net stock of CO2 is the measure relevant to the study of the consequences of global warming for the planet, especially for its impact on the biosphere. The net stock of CO2 can be expressed in terms of million or billions of tonnes of CO2, or, in relative terms, as the ratio of the volume of CO2 to the total volume of all the gases in the atmosphere. This latter measure is a very small number. It is estimated, for instance, that the concentration of CO2 at the beginning of the industrial era, c.1850, was of the order of 280 parts per million (ppm).3
The analogues of such processes vary across greenhouse gases. For instance, methane decays through chemical processes in the atmosphere into CO2 and this CO2 becomes a part of the carbon cycle. The global warming effect of gases such as methane is measured by comparing it to that of CO2, and the concentration of these gases is expressed therefore in the equivalent amount of CO2 they represent. Thus the total concentration of all greenhouse gases in the atmosphere is given in terms of parts per million of CO2 equivalent (or CO2e).4
The
study of global warming is riddled with uncertainties. The best predictions
that can be made about temperature rise due to greenhouse gas emissions are
probabilistic in nature. Climate science estimates of temperature rise are made
in terms of the probability of this rise, or the range of temperature increase that
can occur for a given quantum of greenhouse gas emission. Some of these
uncertainties are due to the lack of adequate scientific knowledge or
insufficient accuracy in predictions, which may improvebe improved
over time. There are others, however, that arise from the fact that the
integrated system of the Earth’s atmosphere, land (with its vegetation),
and oceans is a highly complex one, and that full, deterministic certainty is
unlikely to be achieved even with further scientific understanding. Typically,
predicting the consequences of increased CO2 concentration requires
complex scientific models that are computer-based. Climate scientists often use
approximate models that are simplified, but which nevertheless reflect some of
the essential features of the more complex models.
Climatic Changes Due to Global Warming
The rise in temperature due to emission of greenhouse gases into the atmosphere has a profound effect on the Earth’s climate system as a whole, and this in turn has important consequences for the geosphere and biosphere. The authoritative source for information regarding such effects remains the periodic assessment reports of the Intergovernmental Panel on Climate Change (IPCC), the latest being the Fourth Assessment Report (AR4) released in 2008.5 The Fifth Assessment Report is currently under preparation and is due in 2012. According to AR4, the most significant climatic changes that could result from global warming are as follows:6
The magnitude of these effects depends on the actual extent of temperature increases, which in turn depends on the quantum of greenhouse gases that are released into the atmosphere. It is generally accepted that a temperature rise of 2°C would keep most of these effects within the reach of management by human intervention. A temperature rise of 2°C as the maximum acceptable level is now increasingly accepted in international climate negotiations, though some countries would prefer to limit this rise to 1.5°C, especially in order to minimise the threat from a rise in sea level to a number of island nations.
The
predictions made by climate science for specific regions are less accurate and
more uncertain than predictions made on the basis of global averages.7
Predictions at the regional scale require reliable meteorological and other time-series data
from
the past in order to calibrate climate models, data that may not
always be accurate or available, especially for developing less-developed
countries.
Actual and Potential Effects of Climate Change on Developing Countries
Since the effects of climate change are evolving and cumulative, is there evidence that the five most significant climatic changes predicted by AR4 are already under way? Climate research provides a clear affirmative answer to this question.8 Between 1906 and 2005, world average temperature increased by 0.7°C, with larger increases in the northern latitudes and larger increases over land than over the oceans. In accordance with predictions, sea levels have risen at the rate of 1.8 mm/yr from 1961 and at the (faster) rate of 3.1 mm/yr from 1993. These increases are consistent with the expansion effect of temperature on oceans, and the contribution from melting glaciers, ice caps and polar ice sheets. The incidence of cold days and nights has decreased, while there has been an increase in the number of hot days and nights. Heat waves and extreme rainfall events have also become more frequent.
Climate change also has consequences for the biosphere. All flora and fauna are sensitive, to varying degrees, to climatic conditions. Flowering plants are sensitive to seasonal variations of temperature. Species of marine life, including fishes, are particularly sensitive to the temperature of ambient water. Total rainfall and its seasonal variation are critical for agricultural crops, particularly in areas of rainfed agriculture. Apart from direct sensitivity to geophysical conditions, plant and animal life are also sensitive to variations in different parts of the ecological system within which they are located. For instance, the susceptibility of crops to pests may be affected by climate variations.
One
of the important factors that affect the climate- sensitivity
of the biosphere is the pace at which climate change takes place. Global
warming and consequent variations in climate may proceed at a faster rate than
the rate at which ecological systems adapt to such changes.
Some of these effects have already been observed in different parts of the globe and have been documented in AR4. One such important effect is the earlier timing of spring events, and the poleward shift of animal and plant ranges as a consequence of increases in temperature. Similarly, changes in the behaviour of marine life offer further evidence. Shifts in the ranges and abundance of some algae, plankton and fish are clearly associated with rising water temperatures and other related changes, including in salinity and oxygen content.9
Overall, the Synthesis Report in AR4 records the conclusions of more than 29,000 observational data series from 75 studies that show significant changes in physical and biological systems. Of these data series, more than 89 per cent show changes along the lines predicted by studies on global warming. A weakness of this analysis, however, is that there is a wide variation in the number of data series available from different parts of the world.
It is clear from the scientific evidence that there is an urgent need to limit the total quantity of greenhouse gases, especially CO2, that will be released into the atmosphere in the future. Given the past levels of emissions of CO2, human society has to learn to live within a strict carbon budget, sharply reducing its dependence on fossil fuels in all forms. This transition will require many changes, including new technologies (both in terms of renewable energy sources and of preventing CO2 in fossil fuel emissions from being released into the atmosphere) and a major restructuring of economic activity. For developing countries this constitutes a major challenge, since in the near future they will continue primarily to be dependent on the use of fossil fuels to meet their development needs, particularly for improved access to energy, further industrialisation and infrastructure building. In order to create this essential carbon space for developing countries, developed nations must reduce their CO2 emissions sharply. Both in historical terms and in the recent past, developed nations have over-occupied the global atmospheric commons.
The current tendency is towards global warming beyond the acceptable limit of 2°C.10 We must also remember that even if, eventually, the world succeeds in limiting maximum temperature increase to 2°C, such temperature rise itself will result in a number of serious consequences. Prominent among these is the impact of climate change on agriculture.
The Impact of Climate Change on Agriculture
We shall highlight three aspects of the relationship between climate change and agriculture. First, climate change has a direct bearing on the biology of plant growth. Secondly, any assessment of the impact of climate change on agriculture must consider the interaction between the direct biological effects of climate change on the one hand, and other (often dynamic) aspects of the biosphere and geosphere – such as, for example soil conditions, seed–water–fertiliser–pesticide technologies, plant entomology, and so on – on the other. Thirdly, we must consider the impact of climate change on society and economy, and the ability of existing social and economic institutions, particularly in rural areas, to deal with the challenges posed by global warming. Climate change is poised to have a sharply differentiated effect as between agro-ecological regions, farming systems, and social classes and groups.
Ongoing Climate Change and Agriculture
Has global warming due to human activity, particularly the use of fossil fuels, already had an impact on agriculture on a global scale in a significant way?
Data from
As
we have remarked earlier, one of the significant indicators of ongoing climate
change is its impact on plant and animal life. Specifically wWith
respect to agriculture, changes in crop phenology11 provide
important evidence for the effects of climate change. The IPCC’s AR4 noted a
number of such effects, reported mainly from noted
observed in conjunction with gradual
shifts in farm management practices.
The
bulk of the evidence on impact of climate change on agriculture presented in
AR4 relates to the advance of the agricultural calendar. These include: (i) the
advance of stem elongation in winter rye by 10 days in Germany,
over the period 1961–2000; (ii) the advance of the emergence of maize by 12
days in Germany, 1961–2000; (iii) the advance of seeding dates for maize and sugarbeet
by 10 days in Germany, 1961–2000; (iv) the advance of sowing dates for maize by
20 days at experimental farms in France, 1974–2003; and (v) the advance of
sowing dates for potato by 5 days in Finland, 1965–1999. Another similar
indicator is an advance in the dates of the flowering of fruit trees by 2.3
days every 10 years in
In general, these conclusions are drawn from a careful statistical analysis of yearly observations on sowing dates or seeding dates over a few decades. Some of these studies have also demonstrated a close correlation between long-term temperature trends and long-term phenological changes, as well as between year-to-year variability in temperature and short-term phenological changes.13
Crop Production and Yields
The
data on agriculture production at the global and national levels, across many
countries and a variety of crops and eco-systems, however,
indicate that climate change so far has not so far seriously
affected yield and gross production. In a study of maize, wheat and rice
production across 188 nations over a period of 40 years, Hafner showed that,
with respect to these data-sets, there has been an overall rise in
agricultural production.14 A decline in production occurred only in
about one-sixth of the data-sets. Hafner concludes:
National crop data sets that showed yield growth greater than 33.1 kg/ha/yr had much greater yields than those that showed slowing yield growth, demonstrating that yield growth is not being limited by general physiological constraints to crop productivity.
According to Hafner (2003), cereal yields must grow at a minimum rate of 33.1 kg/ha/yr in order to maintain current per-capita production levels in 2050. The number of data-sets that showed yield growth higher than this figure constituted 20 per cent of the total; they were also the most significant in contributing to the overall rise in agricultural production. They were, further, the most significant with respect to cropped area and increases in the global population.
With regard to yields, Lobell et al. (2009) show, from a meta-analysis of a wide range of case studies, that the gap between potential and actual average yields vary widely, ranging from 20 per cent to 80 per cent of yield potential. Licker et al. (2010) attempt to calculate global yield gaps by comparing the yields of 18 key crops in different locations with similar climatic conditions. They conclude that there is still substantial scope globally to close yield gaps under current climatic changes.
Some studies have also attempted to determine whether ongoing climate change is having an impact on agriculture, while accounting for the fact that such impact may be masked by the effects of other variables when considering gross production or yield. This is an important line of future research. See, for instance, Lobell and Field (2007).
The IPCC’s AR4 notes, in its Working Group II volume, that so far little evidence has emerged of loss of yield or gross agricultural production due to climate change. It also notes some studies that report the influence of weather conditions on agricultural production, and, in the case of the Sahel (in Africa), the effect of warmer and drier conditions that have acted as a catalyst for other factors that have led to a decline in groundnut production. It is possible that AR5 of the IPCC, due in 2012, which will have more recent studies to draw upon, will modify this general assessment.
We may therefore summarise the impact of ongoing climate change on agriculture as follows.
There is some evidence of the impact of ongoing climate change on agriculture through its impact on crop phenology and associated farm management practices. The evidence for this comes largely from European data. Ongoing climate change, however, has had no significant impact across most nations on agricultural production and yields.
Yield
gaps, measured both nationally and globally, suggest that agricultural
production and yield still have considerable room for advance. Whether the corresponding intensification of various crop
management and land-use practices, extrapolating along current trends, will be
sustainable without having adverse consequences for ecosystems,
remains unclear. Such negative consequences could occur independently of
climate change, though it is also possible that they are exacerbated by climate
change or that they lead to greater vulnerability to climate change.
Some Projections
Biophysical Impact
In
general, there are two major variables in climate change that have a direct
bearing on crop physiology. One is the effect of carbon fertilisation. This
means that increased concentrations of CO2 in the atmosphere are
beneficial to plant growth, both since CO2 is essential to the
production of carbohydrates and since increased CO2 concentration
reduces the rate of water loss due to respiration. The extent of this
beneficial effect, however, varies across two broad classes of crops, referred
to in scientific literature as C3 and C4 crops.15 In the first
classC3, which includes rice, wheat and
legumes, carbon fertilisation has a more beneficial effect, while in C4, which
includesincluding maize, millets, sorghum and
sugarcane, the effect is much more limited. Early studies of carbon fertilisation
were based on laboratory experiments, whereas more recent studies are based on
“Free-Air Concentration Enrichment” (FACE) experiments conducted on field crops
under agronomic conditions. Results from FACE experiments show that the effect
of carbon fertilisation under realistic conditions is almost 50 per cent
less than the effect as measured incompared to
laboratory studies for C3 crops, while the effect is virtually zero for C4
crops.
The
second important variable in climate change is temperature. One of the major
effects of increases in temperature is to speedthe speeding
up
of the
period of growth of the crop, especially in the grain-filling stage, resulting
in lower yields. This effect is especially pronounced in semi-tropical and
tropical conditions, since in these areas many crops are already at the outer
limits of the temperatures that they can tolerate. In higher latitudes as well,
temperature increases beyond 1–3°C would result in lower yields. Other
significant consequences of increased temperatures include increase in the
transpiration rate and accelerated loss of soil moisture, both of which increase
the water demand of a crop. All this is, of course, in addition to the possible
overall decrease in total rainfall due to climate change.
While carbon fertilisation and temperature increase are the two main aspects of global warming that affect crop physiology, the precise consequences of these two factors on crop yields can be determined only by complicated modelling. Final crop yields are determined by a number of factors, including not only carbon fertilisation and temperature increase, but also changes in precipitation, water balance, energy balance, soil conditions, nutrient availability and so on. Of course, these factors may themselves vary due to climate change.
Crop growth
simulation models provide detailedDetailed analyses
of the biophysical impact of climate change on crops are provided by crop growth
simulation models. These are computer models that attempt to simulate
the entire range of physical and biological effects that affect crop growth and
development. Such models, which have been developed for a number of crops,
allow variation inof a number of
parameters as well as the incorporation of variations in
the interconnections between them. In the more advanced
models,
such analysis can incorporate even genetic variables determining crop yields under
varying environmental conditions.
SimulatingAt a higher
level of integration, simulating the effects of climate change also needs
to include effects such as the interaction with other
factors of pests and weeds. The impact of increased CO2
and temperature and variation in rainfall will be modified by such
interactions, while the behaviour of pests and weeds may itself vary with
climate change. There is a significant literature on potential competition
between C3 and C4 crops in the context of enhanced CO2 levels. Such
studies include the competition between C3 crops and C4 weeds. The IPCC’s Third
Assessment Report provides a useful summary introduction to these issues.16
The studies cited there show that the interaction between pests and major food
and cash crops could be complex, with elevated levels of CO2 and
temperature and increased or decreased precipitation, setting in
motion secondary effects that affect crop–pest interactions. In rice, for
instance, model studies show that leaf-blast epidemics are more likely with
elevated temperatures in cool, sub-tropical zones than in warm, humid tropics,
where such epidemics are inhibited by temperature rise. Another experimental
study showed that higher concentrations of CO2 lowered the extent
of nitrogen uptake in plant tissues, leading to significantly
enhanced damage by pests.
Crop Production: Specific Example
Apart
from these general considerations, it is clear that detailed analysis is
necessary to understand the impact of climate change on specific crops. There
is a voluminous and growing literature on the impact of climate change on
specific food and cash crops, including publications from specialised research
institutions, both individually and through
collaborative networks.
Table 1 presents a summary of the expected impact of climate change on some major cereal crops, taken from a report by the International Food Policy Research Institute (IFPRI).17
Agricultural Product |
|
|
|
|
|
Sub-Saharan |
Developed Countries |
Developing Countries |
World |
Rice |
|
|
|
|
|
|
|
|
|
2000 (mmt) |
119.8 |
221.7 |
1.1 |
14.8 |
5.5 |
7.4 |
20.4 |
370.3 |
390.7 |
2050 No CC (mmt) |
168.8 |
217 |
2.6 |
17.8 |
10.3 |
18.3 |
20.3 |
434.9 |
455.2 |
2050 No CC (per cent change) |
41 |
-2.1 |
144.4 |
19.8 |
87.4 |
146 |
-0.3 |
17.4 |
16.5 |
CSIRO (per cent change) |
-14.3 |
-8.1 |
-0.2 |
-21.7 |
-32.9 |
-14.5 |
-11.8 |
-11.9 |
-11.9 |
NCAR (per cent change) |
-14.5 |
-11.3 |
-0.8 |
-19.2 |
-39.7 |
-15.2 |
10.6 |
-13.6 |
-13.5 |
Wheat |
|
|
|
|
|
|
|
|
|
2000 (mmt) |
96.7 |
102.1 |
127.5 |
23.5 |
23.6 |
4.5 |
205.2 |
377.9 |
583.1 |
2050 No CC (mmt) |
191.3 |
104.3 |
252.6 |
42.1 |
62 |
11.4 |
253.7 |
663.6 |
917.4 |
2050 No CC (per cent change) |
97.9 |
2.1 |
98.1 |
78.7 |
162.3 |
154.4 |
23.6 |
75.6 |
57.3 |
CSIRO (per cent change) |
-43.7 |
1.8 |
-43.4 |
11.4 |
-5.1 |
-33.5 |
-7.6 |
-29.2 |
-23.2 |
NCAR (per cent change) |
-48.8 |
1.8 |
-51 |
17.4 |
-8.7 |
-35.8 |
-11.2 |
-33.5 |
-27.4 |
Maize |
|
|
|
|
|
|
|
|
|
2000 (mmt) |
16.2 |
141.8 |
38 |
80.1 |
8.2 |
37.1 |
297.9 |
321.3 |
619.2 |
2050 No CC (mmt) |
18.7 |
264.7 |
62.7 |
143.11 |
13.1 |
53.9 |
505.1 |
556.2 |
1061.3 |
2050 No CC (per cent change) |
15.7 |
86.6 |
65.1 |
78.8 |
59.4 |
45.3 |
69.6 |
73.1 |
71.4 |
CSIRO (per cent change) |
-18.5 |
-12.7 |
-19 |
-0.3 |
-6.8 |
-9.6 |
11.5 |
-10 |
0.2 |
NCAR (per cent change) |
-8.9 |
8.9 |
-38.3 |
-4 |
-9.8 |
-7.1 |
1.8 |
-2.3 |
-0.4 |
Millet |
|
|
|
|
|
|
|
|
|
2000 (mmt) |
10.5 |
2.3 |
1.2 |
0 |
0 |
13.1 |
0.5 |
27.3 |
27.8 |
2050 No CC (mmt) |
12.3 |
3.5 |
2.1 |
0.1 |
0.1 |
48.1 |
0.8 |
66.2 |
67 |
2050 No CC (per cent change) |
16.5 |
50.1 |
77.2 |
113 |
128 |
267.2 |
60.5 |
142.5 |
141 |
CSIRO (per cent change) |
-19 |
4.2 |
-4.3 |
8.8 |
-5.5 |
-6.9 |
-3 |
-8.5 |
-8.4 |
NCAR (per cent change) |
-9.5 |
8.3 |
-5.2 |
7.2 |
-2.7 |
-7.6 |
-5.6 |
-7 |
-7 |
Sorghum |
|
|
|
|
|
|
|
|
|
2000 (mmt) |
8.4 |
3.1 |
0.1 |
11.4 |
1 |
19 |
16.9 |
43 |
59.9 |
2050 No CC (mmt) |
9.6 |
3.4 |
0.4 |
28 |
1.1 |
60.1 |
20.9 |
102.6 |
123.5 |
2050 No CC (per cent change) |
13.9 |
11.6 |
180.9 |
145.3 |
12.2 |
216.9 |
23.6 |
138.7 |
106.2 |
CSIRO (per cent change) |
-19.6 |
1.4 |
-2.7 |
2.3 |
0.3 |
-2.3 |
-3.1 |
-2.5 |
-2.6 |
NCAR (per cent change) |
-12.2 |
6.7 |
-10.4 |
4.3 |
0.7 |
-3 |
-7.3 |
-1.5 |
-2.5 |
Notes: The figures in the table ignore the effects of
carbon fertilization.The rows labelled “2050 NO CC (per cent
change)” indicate the per cent change between production in 2000 and 2050
with no climate change. The rows labelled “CSIRO (per cent change),” and “NCAR
(per cent change)” indicate the additional per cent change in production
in 2050 due to climate change relative to 2050 with no climate change.
NCAR = .; mmt million metric tonnes.
Source: Reproduced from Table 3 of Nelson et al. (2009).
Using the many studies that have been conducted, IPCC’s AR4 notes18 that it is possible to provide some indications at the global scale of the future impact of climate change on some specific crops. Such studies include not only the effects of temperature but also changes in other variables, such as climatic factors and land and farm management practices. The following graphs present some such global synthesis estimates for maize, wheat, and rice production, specifically the expected percentage change in yield as a function of temperature rise. These yield estimates include estimates of the possible adaptation to climate change, including changes in cultivars and planting and some shifts from rainfed to irrigated cultivation. These synthesis estimates include studies that take carbon fertilisation into specific account and studies that do not.
It is clear from even this limited view that less-developed countries, which are more numerous in low latitudes, will feel the impact of climate change more significantly than others, despite adaptation. On the other hand, for low levels of temperature rise, temperate agriculture may even register some gains, especially in high latitudes.
Notes: (i) The data-points are derived from the results of 69 published studies at multiple simulation sites, against mean local temperature change used as a proxy to indicate the magnitude of climate change in each study.
(ii) Responses include cases without adaptation (red dots) and with adaptation (dark green dots).
(iii) Adaptations+ represented in these studies include changes in planting, changes in cultivar, and shifts from rainfed to irrigated conditions.
(iv) Lines are best-fit polynomials and are used here as a way to summarise results across studies rather than as a predictive tool.
(v) The studies span a range of precipitation changes and CO2 concentrations, and vary in how they represent future changes in climate variability. For instance, the lighter-coloured dots in (b) and (c) represent responses of rainfed crops under climate scenarios with decreased precipitation.
Sources: Reproduced from Fig. 5.2 in Parry et al. (2007). Data-points are based on studies referenced therein.
The key point to remember is that these effects of climate change on agriculture could proceed to dangerous levels, beyond the capacity of meaningful adaptation to such changes, if the emission of greenhouse gases continues unchecked. Beyond a 2°C rise in temperature, there is increasing damage to agriculture. Unchecked temperature rise of 3–4°C would lead to severe consequences. Such consequences cannot be considered in the sector of agriculture alone; we would need to consider a range of geophysical and biophysical effects, the combined effects of which would be very serious.
In the larger context of food security and climate change, it is also important to consider other sectors like animal husbandry and livestock, which are closely linked with agriculture. Another important sector is fisheries. It is generally expected that marine life will reflect the effects of climate change earlier as it is very sensitive to climatic conditions. A significant adverse impact of climate change, for instance, is on coral reefs. Other studies suggest that small fishes like sardines, mackerel and anchovies are good indicators of climatic change as they are sensitive to changes in their habitat conditions. Tropical fish are already exposed to near-lethal temperatures during the hottest part of the day. Further rise in temperatures would have a disastrous impact on such species. While food supplies for fish may increase due to rising temperatures, this may be more than offset by the acceleration of their metabolism, leading to a relative shortage of food supply. Warming would also lead to oxygen depletion in the water, which would have negative consequences for fish metabolism.
Economic Assessments
The general literature on the economics of climate change and agriculture may be divided into two broad categories. The first considers the general, macroeconomic impact of climate change variations on agriculture, i.e. how its impact on the yields and production of various crops would affect the prices of agricultural products and earnings from agriculture, and the consequent implications for national and global economies. The second category of studies focuses on the economic impact of climate change on developing countries, where agriculture is critical to the livelihood of a significant section of the population. These studies also consider associated issues of food security, poverty alleviation and overall human development, and the potential local economic impact of climate change on agriculture across many regions and locations in developing countries.
Many of the viewpoints and assumptions underlying the study of the impact of climate change on agriculture as an economic activity are open to debate. The bulk of the literature on these issues emerges from the academic and policy apparatus of the advanced capitalist world. The global South has a fairly weak presence in this literature, though not without important exceptions. To those who appreciate that the science of economics in the contemporary world is far more value-laden and ideologically driven than the natural sciences, it should be obvious that much of the contemporary literature on the impact of climate change on the economics of agriculture should be read with some caution.
In general, studies of losses or gains to the global economy or national economies are based on a combination of computable general equilibrium (or CGE) models. Such models may incorporate detailed data on one or more specific sectors, but are, in general, highly aggregative in their use of information. These models are coupled with climate models, which feed future climate data into the model as exogenous inputs. The output of such models is a quantification of the losses and gains to GDP relative to some reference model of economic growth. They also typically include predictions of future carbon prices. While early versions of such models were fairly simple, current versions, referred to as Integrated Assessment Models (IAMs), are rather complicated.19
Such
models have become ubiquitous in the computation of the economic impact of
climate change and the cost of mitigation policies. However, as models cover more
and more sectors of the economy and become increasingly complex, it is obvious
that there are cascading sets of uncertainties that derive from economic
assumptions: the uncertainties of agronomic
considerations and the uncertainties of climate modelling. The CGE and IAM
frameworks, therefore, are open to much criticism that is not easily dealt with
simply by tinkering with the details of such models.20
IAMs are also used for sectoral assessments of agriculture.21 A feature of these studies relevant to this discussion is that IAMs use varying methods to determine the current climate sensitivity of agriculture. One of the key uncertainties in all these models is the construction of a reference scenario of agriculture in a future world without global warming. The impact of climate change on agriculture is measured with respect to this reference scenario.
Three
major methods have been used in the current literature to study the climate
sensitivity of agriculture.22 The first method is based on studying
net revenue per hectare across a number of regions with different climatic
conditions.23
Where time-series data are available, the climate variables are averaged out
over the entire time period. In such studies, land value or net annual revenue
is regressed against temperature and precipitation data (from different
seasons).
Soil quality, other input variables and other variables accounting for a number
of socio-economic factors are also introduced into the regression models. The
claim is that such analysis includes the effects of climate adaptation in
various forms, particularly the appropriate choice of crop for the relevant
climatic conditions, based on current climatic variability. However, variations
in net revenue per hectare across farms may also depend on other variables:
biophysical ones like water supply (by means other than direct precipitation),
and economic ones such as the impact of prices and other market effects. Such
variables have not yet been incorporated into models based on the
cross-sectional method.24
The second method, which has been termed the “agronomic–economic” approach, is based on detailed crop growth models.25 These models are calibrated against several experiments, both in laboratory and field settings, and thus provide fairly dependable information on the relationship between climate and yields. These results are then fed into economic models that predict aggregate crop output and prices to determine the “final” economic impact of climate change on agriculture. This class of models does not typically incorporate climate adaptation and has no means of accounting for possible changes in technology.
The
third method is the “agro-ecological zones method” developed by the Food and
Agriculture Organization (FAO).26 Here, detailed models are built of
potential crop yields in different agro-ecological zones andthat
include the effects of a number of eco-physiological variables. Originally a
model built to simulate potential crop yields, FAO’s agro-ecological zones
model has been deployed for studying the economic impact of climate change on
agriculture by coupling it with a revenue maximisation or cost minimisation
module. The advantage in this case is its detailed modelling at the field level
of a given range of production conditions in agriculture in less-developeddeveloping
countries. Technological advance cannot be directly simulated in it, but the
impact of technology on specific eco-physiological features can be modelled. In
the more advanced versions of this model, agro-ecological zoning is coupled
with an applied general equilibrium model to derive more economically relevant
estimates.
The IPCC’s AR4 contains the most significant results on the estimated change in output prices as a consequence of climate change, reproduced in the figure below. The labels on various curves refer to different models. As we have already noted, such results are at best indicative and do not have much specific predictive value.
Note: Prices interpolated from point estimates of temperature effects.
Sources: Reproduced from Fig. 5.3 in Parry et al. (2007), and references cited therein.
The
report
of the International Food Policy Research Institute’s
(IFPRI) reporttitled,
“Climate Change: Impact on Agriculture and Costs of Adaptation,”,27
provides interesting estimates of agricultural production and prices in the year 2050.
The results are based on IFPRI’s model of agricultural supply and demand
projections, and its model of biophysical impacts
for five crops: rice, wheat, maize, soybean and groundnut. We reproduce below Table 2
below has been reproduced from the report. The table makes it
clear that over and above the price increases expected in the reference
scenario, the additional effect of climate change is a further increase in
prices.
Commodity |
Price (in US$/metric tonne) |
Change between 2000 and 2050 |
|||||||
In 2000 |
In 2050 |
col. 3/ |
col. 4/ |
col. 5/ |
col. 4/ |
col. 5/ |
|||
With no climate change |
With climate change, |
||||||||
according |
according |
||||||||
1 |
2 |
3 |
4 |
5 |
6 |
7 |
8 |
9 |
10 |
Rice |
190 |
307 |
421 |
406 |
1.6 |
2.2 |
2.1 |
1.4 |
1.3 |
Wheat |
113 |
158 |
334 |
307 |
1.4 |
3.0 |
2.7 |
2.1 |
1.9 |
Maize |
95 |
155 |
235 |
240 |
1.6 |
2.5 |
2.5 |
1.5 |
1.5 |
Soya
bean |
206 |
354 |
394 |
404 |
1.7 |
1.9 |
2.0 |
1.1 |
1.1 |
Beef |
1925 |
2556 |
3078 |
3073 |
1.3 |
1.6 |
1.6 |
1.2 |
1.2 |
Pork |
911 |
1240 |
1457 |
1458 |
1.4 |
1.6 |
1.6 |
1.2 |
1.2 |
Lamb |
2713 |
3102 |
3462 |
3461 |
1.1 |
1.3 |
1.3 |
1.1 |
1.1 |
Poultry |
1203 |
1621 |
1968 |
1969 |
1.3 |
1.6 |
1.6 |
1.2 |
1.2 |
Notes: NCAR =
Source: Reproduced from Table 2 in Nelson (2009).
What conclusions can we draw from these results? Very few, it seems. It is useful in this context to recall the statement in IPCC’s AR4 on the state of uncertainty that plagues all these models:
Finally, the true strength of the effect of elevated CO2 on crop yields at field to regional scales, its interactions with higher temperatures and modified precipitation regimes, as well as the CO2 levels beyond which saturation may occur, remain largely unknown.
In terms of modelling, calls by the Third Assessment Report (of the IPCC) to enhance crop model inter-comparison studies have remained unheeded; in fact, such activity has been performed with much less frequency after the Third Assessment Report than before. It is important that uncertainties related to crop-model simulations of key processes, including their spatial–temporal resolution, be better evaluated, as findings of integrated studies will remain dependent upon the particular crop model used. It is still unclear how the implementation of plot-level experimental data on CO2 responses compares across models; especially when simulations of several key limiting factors, such as soil and water quality, pests, weeds, diseases and the like, remain either unresolved experimentally or untested in models (Tubiello and Ewert 2002). Finally, the Third Assessment Report concluded that the economic, trade and technological assumptions used in many of the integrated assessment models to project food security under climate change were poorly tested against observed data. This remains the situation today.
While
it is clear that mere scepticism cannot be the correct attitude towards the
effects of climate change on agriculture, nevertheless a
healthy caution appears warranted with reference to the quantification of these
effects, especially in terms of future trends in prices of agricultural
commodities and losses to national income. The strongest evidence pointing
toward the potential impact of climate change emerges clearly from
basic agricultural science considerations and crop growth models that have been
extensively tested and validated for purposes other than climate change
studies. Estimates of changes in agricultural production and yield are next in
line in respect of reliability, especially where they depend on validated
agricultural growth models without further economic modelling added on.
Readers may object that we are too sceptical and unaccepting of current predictive economic models in the field. We note, however, that there is a difference between a critical view of current quantitative estimates of the effects of climate change on the economics of agriculture and a general, all-round climate scepticism. We also note that climate vulnerability is a serious problem for agriculture, especially in less developed countries, and that there is much to be learned for the future from the present.
Less-developed Countries: Areas of Concern
There is abundant evidence that climate change will disproportionately affect less-developed countries. One of the primary climatic reasons is that agricultural production in low latitudes, which account for a majority of less-developed countries, is more likely to be affected by rising temperatures, since ecosystems are already at their limits of thermal stress tolerance in many cases.28 On the other hand, in temperate latitudes, even if the magnitude of temperature increases were to be higher, there is greater margin to cope with thermal stress.
Similarly, water stress arising from climate change is likely to be higher in many locations in lower latitudes. This also places greater stress on agriculture in less-developed countries. But given the great variations in socio-economic conditions across regions with similar climatic conditions, it is evident that climatic conditions alone do not determine or characterise the greater vulnerability of developing country agriculture to climate change.29
It is intuitively plausible that countries with low levels of human development, agricultural productivity, industrial capabilities and infrastructure would be at a greater disadvantage in dealing with the complex challenges posed by climate change. The gross social and economic inequalities that characterise rural society in many less-developed countries are likely to exacerbate such disadvantage.
All considerations of climate change vulnerability naturally begin with the proposition that while all societies are exposed to the risks of climate change, these risks are not uniform. Certain ecosystems face greater risk than others. Various occupational groups who are inhabitants of high-risk habitats or geographical regions, or whose livelihoods are dependent upon natural resources that are at higher risk, also face a greater degree of threat than others from climate change. Different socio-economic categories may suffer the effects of climate change in different ways even in the same agro-ecological setting. While the literature on climate vulnerability aims to capture this differential aspect in the assessment of the impact of climate change, there is considerable difference between studies in how the subject is developed.30
The United Nations Development Programme’s (UNDP’s) Human Development Report (HDR) of 2007–08, while taking account of theoretical advances in the field, provides a useful and policy-friendly perspective on climate vulnerability. In the first instance, it usefully distinguishes between risk and vulnerability. To put it simply, everyone is at risk from the impact of climate change, but the degree of vulnerability varies sharply across different levels of human development. Whereas risk captures the idea of the impact of natural shock in the context of climate change, “vulnerability is a measure of capacity to manage such hazards without suffering a long-term, potentially irreversible, loss of well-being.”31 The processes by which risk is transformed into vulnerability in different countries depend on the state of the country’s human development, including the “inequalities in income, opportunity and political power that marginalise the poor.”32 Poverty and low human development are the key sources of vulnerability, though poverty is not identical to climate-related vulnerability.
Poverty,
human development and climate-related vulnerability are closely interlinked.
Poverty exacerbates climate-related vulnerability since the poor lack a range
of resources that could lower their vulnerability. From the perspective of
human development, climate-related risks could lead to low human development
traps, “a one-way downward descent” into further disadvantage. Climate change
in general would act negatively on all existing manifestations of low human
development and exacerbate the pre-existing vulnerability of different sections
of the population of developinless-developedg
countries. Further, the strategies of the poor to cope with climate shocks may
themselves lead to increased deprivation, thereby perpetuating low human
development.
The
Human Development Report notes the broad mechanism by which such low
human development traps could come into operation. Poor cultivators are more
risk-averse than the rich, since farming by the poor is more
risky – even minor fluctuations of climate can expose them to adverse
consequences. As a result, coping with climate risk may include staying away
from commercial cropping, which provides higher returns only in exchange for
accepting a higher degree of risk. Traditional coping strategies of the poor in
response to climate or economic shocks may include the sale of productive assets
such as land and livestock. Other coping strategies may have adverse effects
such as losses
with regard to loss of nutrition, health, education
and so on, which would further contribute to the inability of the poor to
recover fully from any particular climate crisis.
There are clearly wide variations in climate vulnerability among less-developed countries and regions within individual nations. Much of the global research on vulnerability to climate change in developing countries has correctly focused on the threat to agriculture in semi-arid regions or, more generally, on rainfed agriculture.33 At the same time, the greater vulnerability of semi-arid or rainfed agriculture should not obscure the fact that even where agriculture is at present less vulnerable to climate variation than elsewhere, climate change may introduce greater vulnerability.
Climate Change and Agriculture: The Indian Scenario
Some General Results
What is the likely effect of global warming on the Indian subcontinent? Much of the work that projects possible climate scenarios of the future describes highly aggregated global situations. Though these global data and corresponding projections are undoubtedly important in providing the basis for common global action, nations and regions also need disaggregated information on the effects of climate change at national and regional scales. It has been clearly established that there are significant variations in climate change impact at the national and regional levels across the globe, variations that will be significant in terms of policy and societal action. The techniques for making predictions at the national and sub-national levels still need further development.
Following
the United Nations Framework Convention on Climate Change (UNFCCC) and the
Kyoto Protocol,
The
following is a broadbrushbroad-brush
summary of the expected impact of climate change on
NATCOM I also provides an overview of the impact on the biosphere that may be expected as a result of the geophysical consequences of a rise in global temperatures.35
Climate Variability
Over the last half a century or more, the overall trend in agricultural production has been one of increase for most crops, with pulses being the only case where the gains in overall production appear very small. This is evident from the charts below.
Source: Agricultural production data from Reserve Bank of India (2010).
As in the global case, this clearly implies that, so far, agricultural production has managed to stay ahead of the curve with respect to climate change. Despite this growth, Indian agriculture is still susceptible to climate variability.36 A recent study shows the clear correlation (Figure 4) between variation in food production and variation in the total summer monsoon rainfall.37 It also shows (Table 3) that the loss in production in a rainfall-deficient year is greater than the gain in production in a year of above-average rainfall.
Source: Adapted from Rao (2008).
ISMR Anomaly |
Impact on crop production (% change) |
–20 |
–12.44 |
–15 |
–8.83 |
–10 |
–5.55 |
–5 |
–2.61 |
0 |
0.00 |
5 |
2.28 |
10 |
4.22 |
15 |
5.83 |
20 |
7.10 |
Source: Adapted from Rao (2008).
Another study shows that the aspect of weather fluctuation that has the most impact on agricultural production is variation in growing season temperature.38 A third study used current climate data from seven locations in the Indo-Gangetic plain.39 The study found that, for the given climate data, crop models showed a negative trend for potential yields in both rice and wheat. The main climatic effects accounting for these changes were decrease in solar radiation and increase in the minimum temperature.
More
recently, a detailed study of crop production based on remote sensing data
provides an interesting direction of study into the possible ongoing impact of
climate change on Indian agriculture.40 Remote sensing data for
Notes: Integrated NDVI = Integrated Normalised Differential Vegetation Index. In non-technical terms, NDVI measures the presence of greenness of vegetation. In this particular instance, the data are for Indian croplands.
Source: Milesi et al. (2010).
One
of the critical issues in Indian agriculture is the high proportion of rainfed
agriculture in the part of the country climatically classified as semi-arid
tropics (SAT).41
Rainfed agriculture42 in the semi-arid
tropics is particularly vulnerable to climate change. In 1999–2000, rainfed
agriculture as a whole accounted for roughly 60 per cent of net sown area,
amounting to nearly 87.5 million hectares out of a total of 142 million
hectares. In the semi-arid tropic States of Andhra Pradesh,
For detailed studies of climate variability in the context of climate change, it is also necessary to have village-level data available for the same locations over a number of years.46
Historically,
of course, drylandDryland agriculture did not receive
the policy attention that irrigated agriculture did in the era of the Green
Revolution. This relative neglect has characterised the more recent period as
well. Today, awareness of climate vulnerability has helped to focus attention
on the issue of dryland agriculture, and an all-round improvement in the
performance of rainfed agriculture in
As
noted earlier, agriculture in less-developed countries is characterised by
yield gaps. The same is true for
State |
Irrigated |
Rainfed |
|||||
Paddy |
Wheat |
Mustard |
Maize |
Bajra |
Jowar |
Groundnut |
|
Andhra Pradesh |
123 |
23 |
|
|
191 |
231 |
83 |
|
175 |
46 |
114 |
|
|
|
|
|
162 |
74 |
174 |
195 |
|
|
25 |
|
60 |
43 |
124 |
99 |
191 |
541 |
1 |
Haryana |
55 |
25 |
1 |
3 |
86 |
|
|
HP |
49 |
163 |
420 |
11 |
|
|
|
Karnataka |
132 |
28 |
|
|
258 |
292 |
49 |
Kerala |
116 |
|
|
|
|
|
|
Madhya Pradesh |
135 |
73 |
89 |
105 |
165 |
231 |
55 |
|
140 |
102 |
|
|
|
|
|
Orissa |
115 |
66 |
63 |
153 |
|
|
60 |
|
87 |
40 |
25 |
6 |
|
|
|
Rajasthan |
27 |
82 |
130 |
114 |
309 |
|
106 |
Tamil Nadu |
62 |
|
|
|
163 |
479 |
62 |
Uttar Pradesh |
101 |
93 |
164 |
106 |
92 |
|
106 |
|
90 |
19 |
131 |
11 |
|
|
|
Note: Yield gap = the ratio of the difference between attainable and actual
yield to the actual yield, expressed as a percentage
Source: Reproduced from Chand (2005).
Current Evidence
There is little evidence of any direct impact of ongoing climate change on current agricultural production, especially with respect to major food and horticultural crops, and related activities such as livestock rearing and fisheries. Two observations, however, are noteworthy.
The
first concerns
is the impact of climate change on
apple production in Himachal Pradesh due to inadequate chilling.48
Apple production is sensitive to the extent of cold weather in a specified
range during the winter months. This is calculated in terms of “chilling units”
(the cumulative number of hours when the over which winter
temperatures are in the correct range of coldness). The number of hours above
the specified maximum during the winter months has a negative effect on apple
yields. The data show that, below a height of approximately 2,400 metres above
sea level, the number of chilling units has been decreasing, whereas above this
height the number of days of suitable temperature has been increasing. This
change is reflected in the pattern of apple production: the extent of apple
cultivation is increasing at higher altitudes and declining at lower altitudes.
Thus the extent of apple cultivation has increased sharply in Lahul-Spiti and
the upper reaches of Kinnaur district, whereas it has reduced in the State as a
whole, particularly in Kullu and Shimla. Apple yields per hectare have also declined
overall in the State, from 10.8 to 5.8 tonnes/hectare.
According to some studies (cited in Rana et al. 2009), these observations appear to match
farmers’ perceptions.
The
second case of known impact of climate change comes from a study of Indian
major carp, both in the the higher prices increased price for the
Indian major carp earlier in the year, prior to the breeding season in May. The
increasing heat stress likely in the peak summer months, however, may undo the
adaptation that has occurred so far.
Changes
in the distribution of sardines and mackerel have already been observed along
the Indian coast since 1989.50 False trevally, which is an economically
and culturally important fish in drastic
decline of the fishery over the last few years because of increased water
temperatures and decreased rain (which flushes critical nutrients from the land
into the
Future Impact
Before
we briefly review the highlights of the possible future impact of climate
change on Indian agriculture, it is useful to note once again that these
predictions are based on climate models, and that their application to specific regions
ofregional predictions for the Indian
subcontinent needs substantial improvement. The study by Rajendran and Kitoh (2008) provides the most reliable
description of future rainfall patterns, as it appears to be the most
successful in reproducing past rainfall patterns.52 Most
predictions that have been made for agriculture have not, however, used the
kind of climate models that this latest study has utilised. The
results we present below must be read with this limitation in mind. (These
results have to do with more general features of crop behaviour under various
regimes of temperature and rainfall change than with, and do not
single out any specific scenario of future climate change.)
To illustrate some of the issues involved, we briefly note some results that project the impact of climate change on two specific crops, rice and wheat.
The
pioneering study of Sinha and Swaminathan
(1991) reported that for a 2°C rise in temperature, rice yields would decrease
by 0.75 tonne/hectare in high-yielding regions and by
about 0.06 tonne/hectare in low-yield coastal regions.53 For a
complete picture, however, we need to see the effect of both CO2 fertilisation
and temperature rise, as we had noted earlier. Figure 6 effectively sums
up the general pattern for rice production in
Notes: (i) Lines refer to the equal change in grain yield (per cent change, labelled) at different values of CO2 and increase in temperature. (ii) Large shaded boxes refer to the uncertainties in impact assessment due to the uncertainties in the IPCC scenarios for 2070. (iii) Small shaded boxes refer to the uncertainties in impact assessment due to the uncertainties in the scenario for 2010.
Source: Reproduced from Fig. 1 in Aggarwal and Mall (2002).
It is
important to note that with a A 2°C rise in
temperature and a concentration of 450 ppm of CO2, there would
be cause some
loss of yield in rice production in all regions of
In
the case of wheat, the study by Sinha and Swaminathan
(1991) also noted also that a 0.5°C rise in winter
temperature would lower yields by 0.45 tonne/hectare. The major
findings Subsequently a number of subsequent studies
have
been undertaken, whose major findings we willare presented
in tabular form below. One of the major findings of the study of the Indian
Council of Agricultural Research (ICAR) on the impact of climate change is that
it is likely to lower the potential yields of wheat.55 Thus the gap
between potential yields and actual yields will narrow, with potential yields
likely to fall faster than the rise in actual yields.
The following table shows some examples of the effect of changes in temperature on crop yields.56
Crop |
Topt (°C) |
Tmax
|
Yield at Topt |
Yield at 28°C
|
Yield at 32°C
|
Per cent decrease
|
Rice |
25 |
36 |
7.55 |
6.31 |
2.93 |
54 |
Soybean |
28 |
39 |
3.41 |
3.41 |
3.06 |
10 |
Dry bean |
22 |
32 |
2.87 |
1.39 |
0 |
100 |
Peanut |
25 |
40 |
3.38 |
3.22 |
2.58 |
20 |
Grain: sorghum |
26 |
35 |
12.24 |
11.75 |
6.95 |
41 |
Notes: Topt = optimal temperature; Tmax = maximum sustainable temperature; t/ha: tonnes per hectare.
Source: Rao (2008).
The
annotated bibliography to this paper contains a summary of the main research results from the
literature on the effects of climate change on various crops, soil quality,
pests and weeds, and water supply. Among these, the impact of climate change on
water may be singled out as perhaps the most important. A preliminary survey of
hydrology in the era of climate change, presented in a user-friendly format, is
available on the website of the Civil Engineering Department of the Indian
Institute of Technology,
Work
on adaptation to climate change in agriculture is still largely in its infancy,
not only in in the
future. Improved management of inputs and shifts in farm practices
are also significant options. It is worth emphasising that the adaptation
challenge is a substantial one even for the sustainable development community,
since what is really required now are not experimental local initiatives alone
but the scaling up of such solutions to the level of States or entire regions
of the country. What should also be evident is that there is no single
solution, nor are solutions to be found by turning one’s
back on contemporary science and technology.58 The
challenge of developing an agriculture that is both sustainable and
economically viable is a major one.
It
is clear that climate change presents a significant threat to the future of
Indian agriculture. It is, however, important to keep this threat in
perspective. While there are a few indications of climate change having
affected horticulture and fisheries already, the general increase in gross
production and the established potential for yield increases point to the fact
that climate change is very much a problem of the future. The fact that much
scope exists for improving agricultural yields and production even in the
current situation is particularly important in the context of international
climate negotiations. This is because some climate-change activists and policy
specialists exaggerate the immediacy of the threat from climate change in order
to achieve an early international climate agreement. An accurate assessment of
the threat to agriculture is essential in order to evaluate the room for manoeuvre
that
The
threat of climate change makes the case for the accelerated
development of Indian agriculture even more urgent. One of the main points of
consensus in the literature on climate vulnerability, which is otherwise marked
by many divergent results, is that the poor are the most vulnerable to the
effects of climate change. Worldwide, the ability to cope with disasters in
various regions is closely correlated to the levels of human development of
these regions. All-round development has become ever- more
urgent in the era of climate change.
One
of the significant features of
There
are several areas where measures to reduce
lessen
the impact of current climate variability that can help deal will assist
in dealing with the impact of climate change in the future. Among
these measures are the following:59
There
are substantial gaps in our knowledge with respect to the impact of climate
change. Of these, it is clear from the literature that, given the expertise and
capabilities available in State and public institutions, and the rural population
engaged in agriculture. Thus, while climate change is not yet an immediate
threat, it certainly calls for action at many levels.
Climate
change adaptation requires enormous financial and other resources; the scale and
scope of this requirement have proved to be difficult to quantify, and have
been subjects of much uncertainty and debate.60 What is
generally accepted is that the finances required are likely to be large. In a
context that calls for a coherent strategy from the sState, the withdrawal of public expenditure on agriculture is
a very disturbing trend. It is particularly disturbing that state-run systems
of agricultural extension in India have largely been underminedignored
by the Government of India from the early 1990s, and that there have been
persistent attempts to reorient the strategies and aims of the national
agricultural research system. The “Second Green Revolution” is sought to be
based on a model of private sector-driven research and extension, with
knowledge transfers from the developed world being strongly restricted by
strong intellectual property rights (IPR) restrictions.
The
Government of India has pursued a two-track approach to climate change
adaptation, including in agriculture. In international climate negotiations, it
has repeatedly called for state-to-state transfers of adaptation funds from
developed to less-developed nations, resisting attempts by the former to
consider financial transfers through existing multilateral financial
institutions or the private sector. On the domestic front, the Government has
announced a
What
is paradoxicaoddl
is that a policy that appears to privilege the public sector is much less
evident in domestic policy in agriculture, where in fact the public sector has
been in retreat. In this light, the Government of India’s emphasis on the need
for financial transfers from developed countries for climate adaptation-related
work suggests as much a reluctance towards committing
domestic finance to this end, as it does a plea for equity in international
climate policy.
In
conclusion, we re-emphasise what must be one of the foremost social concerns in
the study of the impact of climate change, that is, the impact of climate
change on the poor of the world, especially the rural poor. Although climate
change affects all humanity, it has a disproportionately great impact on the
poor. The poor will bear the brunt of climate change, particularly in the
less-developed countries, though they have contributed the least to the problem
of greenhouse gas emissions. In closing, we can hardly over-emphasise the
need to ensure that, in an unequal world, the mainglobal
burden of dealing with climate change is not placed disproportionately on
the poor.
Summary
Even a preliminary consideration of the problem of climate change and agriculture raises three basic questions.
First, what is and will be the nature and extent of the biophysical and agronomic impact of climate change on agriculture? A related issue is the economic and social impact that results from the effects of climate change on agriculture as a system of production. Secondly, since climate change is a phenomenon that is already under way, to what extent is agricultural production already suffering the impact of climate change? Thirdly, what is the nature of the current impact of climate change on Indian agriculture?
Climate change is driven by global warming, which is, in turn, caused by the emission of greenhouse gases as a result of human activity on Earth. The consequent increase in temperatures is, in general, deleterious to plant life. At the same time, the increase in atmospheric concentration of the most potent greenhouse gas, carbon dioxide, has a beneficial effect on plant growth. In general, however, the beneficial effect of this carbon fertilisation is not as significant as was originally estimated. Estimating the actual impact of global warming on crops in the field is a more complex task, and must take into account other factors, including changes in precipitation, water balance, soil conditions, nutrient availability and so on. Agronomic crop models, which relate the productivity of specific crops to a variety of inputs and have been calibrated based on conditions of production for specific regions, provide some of the most convincing estimates of the damage that global warming will inflict on agriculture in different parts of the world. The effect of global warming on various crops also significantly depends on the latitude in which the crop is grown. In higher latitudes, increased temperatures of upto about 1.5 deg C may actually provide for increased productivity whereas any increase in temperature lowers productivity in lower latitudes.
The economic impact of climate change on agriculture is much harder to estimate than the biophysical and agronomic impact. There is a significant body of literature that seeks to provide quantitative estimates of the future production of specific crops, and more detailed estimates, such as predicted rates of future prices of agricultural products. All such estimates, based on a variety of techniques, suffer from many uncertainties. The unreliability of the results of such models arises from the inherent uncertainties of making quantitative economic predictions based on econometric models, particularly on account of the wide range of assumptions that are incorporated in different models, and the uncertainties that are still present in modelling future climate regimes.
Special attention needs to be paid to the increased vulnerability of agriculture in less-developed countries to climate change. While all societies are exposed to the risk of climate change, these risks are not uniform. Less-developed countries with low levels of human development, agricultural productivity, industrial capabilities, and infrastructure are at a greater disadvantage than others in dealing with the complex challenges posed by climate change.
At the heart of the question of climate vulnerability is the inability of various socio-economic groups to withstand climate shocks without permanent or long-term losses of well-being. From the perspective of human development, climate-related risks could lead to low human development “traps” – to what has been described as “a one-way downward descent” into further disadvantage.
The Fourth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC) indicates that climate change has already had an impact on crop phenology (phenology refers to the growth and development of different parts of plants) and associated farm-management practices. The bulk of this evidence comes from developed countries in the temperate zone. There is no significant evidence that climate change has begun significantly to affect total agricultural production and the yields of different crops across the world. Yield gaps for various crops, that is, the gap between the potential yields of crops and the actual yields from farmers’ fields, measured both nationally and globally, suggest that agricultural production and yields still have much potential for advance. Whether the corresponding intensification of various crop-management and land-use practices, extrapolating along current trends, will be sustainable without damaging ecosystems remains unclear. Such negative consequences could occur independently of climate change, although it is also possible that they are exacerbated by climate change.
The impact of climate change on Indian agriculture, both in the present as well as in a future of increasing temperatures, appears to be broadly in line with the considerations that we have already described with respect to the global case. Providing more specific predictions of the impact of climate change will require improved regional climate models that accurately model specific features of the sub-continental climate, features such as the monsoon.
There are two interesting cases that indicate that climate change has begun to have some impact on Indian agriculture. The first is the retreat of apple production from lower altitudes to higher altitudes in Himachal Pradesh as a consequence of the decrease in the number of sufficiently cold days in winter. The second is the advance, between the early 1980s and the early 2000s, of the commencement of the breeding season for tank-bred major Indian carp varieties in Eastern India from late May to mid-April, and a lengthening of the breeding season from 110-120 days to 160-170 days. These shifts have been attributed to increases in both maximum and minimum water temperatures, and increases in precipitation levels. In this case, total production has not yet shown any decrease.
A positive aspect of India’s response to climate change and agriculture has been the significant body of research work and results that has been published on the subject (though more research is necessary). These results include studies of the likely impact of climate change on the yields and productivity of several major crops in India, studies of the impact of climate change on water-related parameters such as evaporation, water runoff and soil moisture, and of the impact of climate change on soil productivity, pests and crop diseases.
In conclusion, we re-emphasise what must be one of the foremost social concerns in the study of the impact of climate change, that is, the impact of climate change on the poor of the world, especially the rural poor. Although climate change affects all humanity, it has a disproportionately great impact on the poor. The poor will bear the brunt of climate change, particularly in the less-developed countries, though they have contributed the least to the problem of greenhouse gas emissions. In closing, we can hardly over-emphasise the need to ensure that, in an unequal world, the main burden of dealing with climate change is not placed on the poor.
Acknowledgements: The
author would like to thank his colleagues Mario D’Souza and Tejal Kanitkar for
their valuable assistance in preparing this review. He would also like to thank
Vikas Rawal, Parthib Basu and R. Ramakumar for useful and educative discussions
on agriculture and the environment.
Abbreviations
AR4 |
Fourth Assessment Report of the IPCC |
CGE model |
Computable General Equilibrium model |
CO2 |
Carbon Dioxide |
GHG |
greenhouse gas |
IAM |
Integrated Assessment Model |
IPCC |
Intergovernmental Panel on Climate Change |
ISMR |
Indian summer monsoon rainfall |
NATCOM I |
|
NDVI |
Normalised Differential Vegetation Index |
ppm |
parts per million |
TAR |
Third Assessment Report of the IPCC |
SAR |
Second Assessment Report of the IPCC |
FAO |
Food and Agriculture Organization |
HDR |
Human Development Report |
Research on Climate Change and Agriculture in India:
An Annotated Bibliography of Selected Research Papers
This is a bibliography of selected research
publications on climate change and agriculture in
Crop Productivity: Specific Crops
Sources: Extracted from Khan, Kumar, Hussain and Kalra (2009), and Mall, Singh, Gupta, Srinivasan and Rathore (2006).
Government of India, Ministry of Environment and Forests (2004), NATCOM I
Gadgil (1995) and Gadgil et al. (1999a, 1999b)
Government of India, Ministry of Environment and Forests (2004), NATCOM I
Government of India, Ministry of Environment and Forests (2004), NATCOM I
Sources: Extracted from Khan, Kumar, Hussain and Kalra (2009), and Mall, Singh, Gupta, Srinivasan and Rathore (2006).
Sources: Extracted from Khan, Kumar, Hussain and Kalra (2009), and Mall, Singh, Gupta, Srinivasan and Rathore (2006).
Source: Extracted from Mall, Singh, Gupta, Srinivasan and Rathore (2006).
Source: Extracted from Mall, Singh, Gupta, Srinivasan and Rathore (2006).
Source: Extracted from Mall, Singh, Gupta, Srinivasan and Rathore (2006).
General Results
Source: Aggarwal (2009).
Climate Change and Water
Indian subcontinent:
Orissa and West Bengal:
Mall, Bhatla and Pandey (2007)
Indian coastline:
Chattopadhyay and Hulme (1997)
India:
Central India:
Kosi Basin:
Southern and central India:
Damodar basin:
Rajasthan:
Gosain, Rao and Basuroy (2006)
River basins in north west and central India:
Source: (a) Mall, Gupta and Kumar (2010).
Government of India, Ministry of Environment and Forests (2004), NATCOM I
River basins across the country:
Brahmani basin:
Productivity and Erosion
Results based on recent research work done at the Indian Council of Agricultural Research (Aggarwal 2009)
Results from NATCOM I (Ministry of Environment and Forests, Government of India 2004)
Government of India, Ministry of Environment and Forests (2004), NATCOM I
Notes: (i) mm = millimetres; (ii) t/ha = tonnes/hectare.
Source: Reproduced from Sharda and Tripathi (2010), p. 93.
Pests and Crop Disease
Impact on Pests Due to Changes in
Temperature, Rainfall and Relative Humidity
O. brumata insects:
O. brumata insects:
Chrysomelid beetles:
Government of India, Ministry of Environment and Forests (2004), NATCOM I
Aphid:
Leptocorisa acuta or rice gundhi bug:
Source: Rao, Rao and Venkateswarlu (2010).
Source: Rao, Rao and Venkateswarlu (2010).
Generally, the impact of CO2 on insects is observed to be “indirect”, i.e. increased CO2 will alter the quantity and quality of plant foliage, which in turn can influence the growth and development of insect herbivores.
Rao, Rao and Venkateswarlu (2010)
Findings for two caterpillars: Achaea janata or the castor (castor oil) semilooper, and Spodoptera litura or the tobacco caterpillar.
Source: Rao, Rao and Venkateswarlu (2010).
Government of India, Ministry of Environment and Forests (2004), NATCOM I
Yellow Rust:
Black Rust:
Notes
1 Water vapour is also a significant greenhouse gas
but the main contribution of water vapour comes from natural water bodies,
particularly the oceans, and human activity contributes relatively little water
vapour directly.
2 This is one of the reasons why, in considering how to limit the effects of global warming, it is better to think of limiting the total quantity of greenhouse gases emitted into the atmosphere, rather than thinking of limiting the net amount of greenhouse gases in the atmosphere. It is interesting that this distinction has been made only recently in climate science literature; earlier literature has often phrased mitigation action in terms of limiting the net concentration of greenhouse gases in the atmosphere. The relevant scientific literature has been reviewed in the report from the Committee on Stabilisation Targets for Atmospheric Greenhouse Gas Concentrations, of the Board of Atmospheric Sciences and Climate, Division on Earth and Life Studies, National Research Council of the United States. See Committee on Stabilisation Targets for Atmospheric Greenhouse Gas Concentrations (2010).
3 It must be emphasised that a certain
level of CO2 is essential to the maintenance of life on Earth. The
issue in global warming is the rise of CO2 concentrations to such an
extent that the resulting temperature increase begins to affect the existing
pattern of life on Earth. Continued temperature increase may go beyond the
capacity of life on Earth to withstand such temperatures. It should also be
remembered that over the long history of the Earth, which is well over four
billion years old, the amount of CO2 in the atmosphere has varied
widely, but only in the pre-historic era.
4 Another greenhouse gas that is significant in the context of agriculture is nitrous oxide, produced from the nitrogenous fertilizers commonly used in agriculture. In fact this should be a part of the study of the nitrogen cycle that is also being affected by anthropogenic causes. For a survey of the issue, see for instance, the Informal Report of the Task Force on Reactive Nitrogen (TFRN 2010).
5 The reports of the IPCC are based on
the worldwide published literature on climate science and climate-related
issues. They provide the best scientific consensus available currently on most
important aspects of climate change.
6 The details are paraphrased from the IPCC’s Summary for Policy Makers, AR4 Synthesis Report (Pachauri and Reisinger 2007). In the paraphrasing we have omitted, for ease of reading, the nuanced view in the Synthesis Report that attributes the terms, highly likely, very likely, likely, etc., for denoting the probability associated with various predictions. In all detailed considerations these nuanced statements must be taken as the correct view.
7 An example of the uncertainty associated with regional predictions is the continuing lack of dependable modelling of the effects of climate change on the Indian monsoon system. The current mismatches between data on the Indian monsoon and predictions of monsoon behaviour from many climate models are described in Rajeevan and Nanjundiah (2009).
8 These details, and those in this entire section, are drawn from the Summary for Policymakers, AR4 Synthesis Report (Pachauri and Reisinger 2007).
10 Even if the so-called “Copenhagen Accord” accepts a 2°C limit as desirable, the limit is not backed by firm commitments for emissions reduction by developed countries. For global warming expected from current emissions reduction commitments, see Rogelj et al. (2010a), pp. 1126–128. See also Rogelj et al. (2010b).
11 Phenology refers
to the study of periodic phenomena relating to the initiation, differentiation
and development of different parts of the plant.
12 For further results and more
detailed references, see Table 1.10 in the report of Working Group II of the IPCC’s
AR4 (Parry 2007).
13 Regrettably, in the author’s
experience many civil society organisations, farmers’ groups and movements do
not realise the need for careful statistical analysis of observations (as in
the studies referred to), and simply report perceptions collected over a few
years as evidence of the impact of climate change. The long-term trends in crop
phenology are also a fine example of the unconscious in human adaptation.
Yearly sowing decisions are undoubtedly driven by conscious observation and intent,
but the long-term trend can only be verified by statistical analysis and is not
susceptible (except, perhaps, in very rare cases) to
direct perception.
14 Hafner (2003), pp. 275–83.
15 These two classes are distinguished
precisely by the differences in the process of CO2 absorption. There
is also a third class, referred to as CAM, which is characteristic of plants
specially adapted to arid conditions.
16 See, for instance, Section 5.3. 3.2.3 of the report of Working Group II of the IPCC for the Third Assessment Report (McCarthy et al. [eds.] 2001).
18 See Section 5.4.2.2 of the report of Working Group II of the IPCC for AR4 (Parry et al. 2007).
19 For an early but still valuable guide to IAMs, see Center for International Earth Science Information Network (CIESIN 1995), and all pages linked to it.
20 For a general critique of the CGE framework, see DeCanio (2003). For a specific critique of IAMS in the CGE framework with special reference to the nature of discounting, etc., see Ackerman et al. (2009), pp. 297–315. With reference to the incorporation of details of trade, see the critique of trade in the CGE framework in Taylor and Arnim (2006).
21 Strictly speaking, these models are referred to as Applied General Equilibrium (AGE) models and originally were unrelated to CGE models. For more details on the relationship between AGE and CGE models, and a delightfully written critique of the two approaches, see Mitra-Kahn (2008).
22 The summary description of these approaches draws heavily on the useful review in the Food and Agriculture Organization document, “Two essays on climate change and agriculture” (FAO 2000).
23 This is often referred to as the “cross-sectional” method or, somewhat more inaccurately, the “Ricardian” method. For a recent review of the method, see Sanghi and Mendelsohn (2008), pp. 655–65.
24 FAO (2000). For a critique of the cross-sectional method, see Reilly (1999).
25 For an important discussion of the agronomic–economic approach, see Rosenzweig and Parry (1994), p. 133. These models can also be used at regional or national levels.
28 See, for instance, Section 19.4.3 of the report of Working Group II in IPCC’s Third Assessment Report and references therein (McCarthy et al. 2001), available at http://www.grida.no/publications/other/ipcc_tar/, viewed on August 20, 2010.
29 While this may seem obvious, there is some literature that attributes global disparities in development to geographical and climatic differences. For a classic in this genre, see Sachs (2001). For a useful critique of this approach, see also Rodrik, Subramanian and Trebbi (2002).
30 For a detailed list of references to the literature, see Cutter et al. (2009).
31 See Human Development Report 2007/2008 (UNDP 2007), p. 78.
33 A very useful early study of vulnerability, both in terms of theory and detailed regional studies, is available in Ribot et al. (1996).
36 While this has always
been a subject of concern, recent heightened interest in climate change has re-emphasised
studies to understand the impact of current climate variability.
37 Rao (2008).
38 Mall and Singh (2000), pp. 35–41.
39 Pathak et al. (2003), pp. 223–34.
40 Milesi et al. (2010), pp. 758–76.
41 For reviews of rainfed agriculture in the semi-arid tropics in India, see Bhatia (2005) and Rao et al. (2005), p. 96. For an earlier review, see Kerr (1996). Following the FAO, Rao et al. (2005) define semi-arid tropics as those tropical regions where rainfall exceeds evapotranspiration for two to seven months in the year.
42 Rainfed agriculture
is a crop system that is entirely dependent on rainfall, supplemented perhaps
by small dams, tanks and associated runoff for individual holdings.
43 The ratio of rainfed to irrigated
area based on remote sensing data shows major discrepancies with such figures.
However we will not enter into such issues here though they are potentially
important.
44 Bhatia (2005).
46 The International Crop Research Institute
for the Semi-Arid Tropics (ICRISAT) has gathered village-level information on
the nature and impact of climate variability. See their Research Briefs at http://www.icrisat.org/impi-research-briefs.htm,
viewed on
47 Chand (2005).
48 The material here is drawn from Rana et. al. (2009).
49 Vass et al. (2009), pp. 138–51, and references therein.
50 See the website of CMFRI, http://www.cmfri.org.in/html/cmfriEnviorn.html,
viewed on
51 See Krishnan and Ayyappan (2005), and Sugunan and Maurye (2003) cited therein.
52 Rajendran and Kitoh (2008), pp. 1560–569.
53 Sinha and Swaminathan (1991), pp. 33–45.
55 Aggarwal (2009). The Executive Summary provides an important summary of some major research findings of the ICAR in the recent period.
56 Rao (2008).
57 http://gisseserver.civil.iitd.ac.in/natcom/,
viewed on
58 Among the interesting theoretical
and practical challenges that climate change forces is the challenge of going
beyond the usual binary oppositions that characterise the sustainability discourse,
such as scientific knowledge versus traditional knowledge, experience versus
theoretical or laboratory science, sustainability versus productivity and so
on.
59 The list is adapted from the Human Development Report 2007/2008 (UNDP 2007).
60 For a brief survey of adaptation economics from an Indian perspective, see Kavikumar (undated). See also Kavikumar (2010).
61 For the National
Action Plan on Climate Change, see Ministry of Environment and Forests, Government of
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