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8/3/2019 Climate Change Jun 11
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NAARM
Climate Change and Agriculture
Page 1
NH Rao National Academy of Agricultural Research
Management, Rajendranagar, Hyderabad
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Learning objectives
Climate context : change, emissions, forcing,impacts, models, scenarios, projections
Agricultural context : crop yield changes, economic
impacts, resource and environment effects, foodsecurity both problem and solution
Sustainable development context : food security,vulnerability, adaptation, mitigation
With reference to India
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Climate change and Variability
Fig Source : IPCC, 2001
Climate change (IPCC Definition): change in the state of the climatethat can be identified (e.g. using statistical tests) by changes in themean and/or the variability of its properties, and that persists for anextended period, typically decades or longer
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Background: Green house effect and global warming
climate is driven by solar energy 30 % scatters back to space, 70% warms the
earths surface; earth emits energy back as infrared/thermal radiation greenhouse gases : water vapour, CO 2, ozone, methane, nitrous oxide,
halocarbons and other industrial gases (< 1%) greenhouse effect : greenhouse gases block infrared radiation to cause a rise
in temperature (natural greenhouse effect) keep the planet about 30 0 C
warmer than it would otherwise be ( essential for life ) anthropogenic forcing : rising levels of green house gases (except water
vapour) from human activity industry, agriculture, land use changetransportation, etc., leading to enhanced greenhouse effect
global warming: climate system adjusts to rising greenhouse gases to keep the
global energy budget in balance through rise in average temperature ; uncertainties : global warming even by a small rise in temperature will be
accompanied by many changes which are difficult to predict : cloud cover,wind patterns, ocean currents, etc., which may produce positive or negativefeedbacks
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The climate change process
EmissionsGHGs
Concentrationsof GHGs in atmosphere
Warming(climate forcing)
Climate change(Temp, rain, sea-level)
Impacts
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1000 years of global CO 2 and temperature changes
Fig source: NASA
Surface temperatureshave risen about: 0.7 oC since the early
twentieth century, about 0.5 oC of this
increase is since 1978 by 2100 1.4 to 5.8 oC
over 1990 levels .
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Warmest 12 years:1998,2005,2003,2002,2004,2006,2001,1997,1995,1999,1990,2000
Rise in mean temperature (1880-2006)
Global Surface Temperatures are Increasing at: 0.74 C/decade in last 100yrs 1.28 C/decade in last 50yrs 1.7 C/decade in last 25 yrs
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Sea level rise in20 th century: 0.17m
Fig source: IPCC
Sea level rise and snowmelt
Maximum areacovered by seasonallyfrozen ground hasdecreased by about
7% in Northernhemisphere since1900
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Changes in surface temperature 1970-2004
Source IPCC, AR4 2007
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Main categories of GHG emission sources
Energy : fuel combustion in energy industries,manufacturing industries, transportation, other
Industrial processes and product use : chemicalindustries, mineral industry, metal industry,
electronics industry, product usage, other agriculture, forestry and other land use : crop land,
livestock, manure management, forest land, wet land,grassland, soils, other land
waste disposal : solid waste disposal, biologicaltreatment, incineration and open burning, other
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Global atmospheric concentrationsof carbon dioxide, methane andnitrous oxide have increasedmarkedly as a result of humanactivities since 1750 and now farexceed pre-industrial values
The global increases in carbondioxide concentration are dueprimarily to fossil fuel use and landuse change, while those of methaneand nitrous oxide are primarily dueto agriculture .
(IPCC AR4, 2007)
concentrations of carbon
dioxide have increased from about 280 ppm (preindustrial era) to about379 ppm (2005)
Atmospheric concentrations of GHGs over last2000 years
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Carbon dioxide concentration - database
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Source:Rosegrant,2009
World GHG emissions and sources
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Emissions from different sources (IPCC, 2007)
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Summary of GHG increases (1970-2004) - global
CO 2 : 70% (largest sources: power generation, transport) CH 4 : 40% (largest source: agriculture rice, livestock) N2O: 50% (largest source: agriculture - fertilizer use)
Agricultural CH 4 and N 2O have increased 17% during 1990-2005;most of it from developing countries
Note: Global Warming Potential (GWP) of Methane and nitrous oxide>> Carbon dioxide
Methane has a GWP of 25 times carbon dioxide Nitrous oxide has a GWP of 298 times carbon dioxide
source: IFPRI, 2009
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Regional share of GHG emissions
Indias share :
1990 2000
Source : Sharma et al, 2006
Greenhouse gas emissions, 2004 estimates (million mt, CO 2e)
CO2 CH4 N2O PFC HFC SF6 Total World 28,485 6,408 3,286 108 381 60 38,726India 1,222 548 71 3 8 2 1,853 (5% of total) Indian 0 317 58 0 0 0 375 (20% of Indian) agriculture
Source: IFPRI, 2009
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How do we know that changes are because of human activities?
Source: IPCC
Model Resultsestablish theconnection
betweentemperaturechange andhumanactivities
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Observed and simulated temperature change (IPCC, 2007
state-of-the-art climatemodels, reproduce almostperfectly the last 125 yearsof observed temperatures.
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-0.2
0
0.2
0.4
0.6
0.8
1
1.2
DJF MAM JJAS ON Annual
SEASONS
T E M P
. T R E N D i n C / 1 0 0 y r s
India: Observed temperature changes 1901-2007
Source: IMD
Maximum temp
Minimum Temp
Regional Variations in Max Temp Trends
0
0.2
0.4
0.6
0.8
1
1.2
1.4
West Him. North Wes t NorthCentral
North Eas t WestCoast
East Coast InteriorPen.
Max Temp Trends
T increase for India ~0.5 C/100yr(1901-2007); 0.2 C/10yr (1971-2007)
Both Max and Min T are increasing Max T increase is at a faster rate Winter months show larger
increase West coast, North East and
Western Himalayan show largerincrease
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India - Changes in rainfall
Low & Moderate events (10cm)
V. Heavy events (>15cm)
No long-term trend in all-India meanMonsoon Rainfall since 1871
Epochs of above/below normal monsoonactivity with a periodicity of approx. 30 yrs(current period - below normal epoch)
Changes in rainfall characteristics increase in frequency of high rainfall events
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PRECIS
Regional Climate model(PRECIS ) simulations for India
source: Rupakumar et al, 2006
observed
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Predicting climate change and impacts
CONCENTRATIONSCO 2, methane, etc.
HEATING EFFECTClimate Forcing.
IMPACTSFlooding, food supply, etc.
Scenarios from
population, energy,economics models
Carbon cycle andchemistry models
Gas properties
Coupled climatemodels
Impacts models
CLIMATE CHANGETemp, rain, sea-level, etc.
EMISSIONS
f e e
d b
a c k
s
Fig source: Srinivasan, IMD
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Scenarios - IPCC 40 scenarios grouped in 4 families - A1, A2, B1, B2
- A1: rapid growth in globalizedworld, high energy use
- A2: slow development, slowconvergence; use of renewableenergy
- B1 : similar to A1;more emphasison energy conservation andenvironment (information, services)
- B2 : slow development,local solutions for sustainable
development corresponding GHG emission levels for
each scenario marker scenarios : for each family identified
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Climate projections
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Projections
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Temperature changes that different regions of the world mightexperience (difference between average T of 2071-2100 and 1990).Land areas are expected to warm more than oceans, and the greatestwarming is projected at high latitudes.
Projections
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Temperature and precipitation trends over Indiafor A2 and B2 scenarios (Rupakumar et al, 2006)
Temperature Rainfall
by end of 21st century: rainfall increase by 15-40% mean annual temperature increase by 3C to 6C. maximum increase over northern India. more warming over: land; winter, and post monsoon
Source: Rupakumar etal 2006
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Climate change : factors affecting agriculturalproductivity
monsoon dependence
increasing rainfall and variability rising temperature CO2 fertilization decrease in length of growing
period increase in rainfall offset by rise in
temperature soil moisture stress increase in water resources in
most river basins can coexistwith water stress
increased variability becauseof increased rainfall variability,floods/ droughts
increased pest infestation reduction in input use efficiencies lower farm incomes
Acute physical water scarce conditionsConstant water scarcities and shortageSeasonal / regular stressed conditionsRare water shortages
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Predicted changes in temperature (A1F)
Source: World Bank 2011
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Crop Yields are Projected to Decrease Throughout theTropics and Sub-tropics, but Increase at High Latitudes
Source: IPCC, 2007
Global reportsindicate a lossof 10-40% in
cropproduction by2100.
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Warming impact on India - effect of temperature on farm value (source: Dinar, 2002)
Differential impacts : Development status
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Growth in emission transfers via international trade
CO2 emissions indeveloped countries(Kyoto Protocol, AnnexB countries) havestabilized, butemissions indeveloping countries(non-Annex B) havedoubled. Stabilization indeveloped countrieswas partially because ofgrowing importsfrom developingcountries.
Soure: PNAS 2011
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India - Impacts on crop yields and production
-35.0
-30.0
-25.0
-20.0
-15.0
-10.0
-5.0
0.0
2010 2020 2030 2040 2050 2060 2070
Year
C h a n g e
i n g r a
i n y
i e l d
, %
Minimum
Maximum
Wheat
-25
-20
-15
-10
-5
0
5
2010 2020 2030 2040 2050 2060 2070
Year
C h a n g e i n g r a i n
y i e l d
, %
Minimum
MaximumRice
40
45
50
55
60
65
70
75
80
2000 2010 2020 2030 2040 2050 2060 2070
Year
P r o
d u c
t i o n ,
M t o n s
Wheat productionin India
Source: Aggarwal, 2002
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Length of growing period
Basmati quality
India Impacts on agriculture
Milk production
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Impacts on resources - water
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Increased water, shelter, and energy requirements forlivestock
Animal distress due to heat- effects on reproduction
Loss of 1.5 million tons of milk by 2020 in business asusual scenario
Increasing sea and river water temperatures to affectfish breeding, migration, and harvests.
Impacts on fisheries and livestock
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productivity decrease due to increase in temperature and decrease in
water availability (especially in Indo-Gangetic plains). greater loss in rabi ; every 1 oC increase in temperature reduces wheatproduction by 4-5 million tons.
increased climatic extremes- droughts and floods- lead to increasedproduction variability
increased fertilizer requirement for the same production targets; leadingto higher emissions loss of 1.5 million tons of milk by 2020 in business as usual scenario increasing sea and river water temperatures affect fish breeding,
migration, and harvests
effects on microbes, pathogens, and insects imbalance in food trade due to positive impacts on Europe and N.America
quality of several commodities could change, e.g basmati rice,medicinal and aromatic plants Source PK Aggarwal, 2008
Impact of Climate Change on Indian Agriculture
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climate change and food security
Agronomy+ cropmodels
crop models+
farm/regionaldatabases+
GIS
Crop models+
farm/regionaldatabases
+GIS
+Food securityassessments
Fig source: Ingram et al, 2005
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Food UtilizationNutritional
Value Social Value Food safety
Food AccessAffordability Allocation Preference
Food AvailabilityProduction Distribution
Exchange
Stability of production base
Framework for food security assessment
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Calories Child malnutrition
Climate change impacts on food security
Nelson et al, 2009
prices
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household: food insecurity in India(current)
Fig source: MSSRF
Food security assessment
Effect of climate change (Nelson et al, 2009)
decline in calorie availabilityand per capita consumption ofmeat and cereals increase in prices affectshousehold food security
increase in child malnutrition
need to connect developmentpolicies with climate changeadaptation and mitigationpolicies
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IPCC Definition
Vulnerability is the degree to which a system issusceptible to, and unable to cope with, adverseeffects of climate change , including climate
variability and extremes.
Vulnerability is a function of the character,magnitude, and rate of climate change and variation
to which a system is exposed, its sensitivity , and itsadaptive capacity
Vulnerability
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IPCCframework
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Vulnerability assessment
(Example: OBrien et al 2004)
1. Adaptive capacity =
f (biophysical, socioeconomic, technical factors)
- biophysical factors : soil depth, quality; groundwater
- socioeconomic factors : literacy, gender equity,alternatives
- technical factors : irrigation, infrastructure
2. Sensitivity to stress (dryness, monsoon dependence)
3. Exposure (from climate scenarios)
i h i l S i l
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Low adaptive capacity : districts inBihar (Jharkhand), Rajasthan,Madhya Pradesh, Andhra Pradesh,Maharashtra, Karnataka
Biophysicalvulnerability
Socialvulnerability
Technicalvulnerability
Adaptivecapacity
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Climate sensitivity
1961-90 With exposure:
2x CO 2
High Climate Sensitivity : districts in Rajasthan,Gujarat, Punjab, Haryana, Madhya Pradesh, andUttar Pradesh.
Indian agriculture current vulnerability to Future
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Indian agriculture - current vulnerability to FutureClimate Change
Hot spots : districts inJharkhandRajasthanGujaratNorthern Maharashtra
Madhya PradeshFollow up :Targeted studies at village levelin above districts to validate oridentify barriers at local level
Useful for assessing relative distribution ofvulnerability to climate change at district level
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Adaptation options Agronomy: time of planting, changes in inputs, timing, water
management New crops/varieties : drought/heat resistant diversification
With Adaptation T (+ 2C) + precipitation (+) 7% GDPAgri 7%
T (+ 3.5C) + precipitation (+ 15% ) GDPAgri 2.5%
Poverty Hunger (Kavikumar, 2002)
The adaptive capacity of small and marginal farmers is severelylimited by dependence on natural factors, access to inputs, andinstitutional support systems
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% Change in Cereal Yield vs. Temperature Change(with/without adaptation) from 69 Modeling Studies
Synopsis
low latitude cereal yields < current, evenwith modest warming
projected reduction for South Asia (20%)can challenge food security
with increasing climate variability andfrequencies of extreme events, crop
yield losses can occur at smaller meantemperature increases
Climate change likely to affect farmers notby gradual change in climate conditions,but by changes in frequencies of extremes(droughts, excessive rainfall, heat stress)
A change in climate variability is worsefor crops than slow, gradual climatechange
(source: Easterling 2005)
Mi i i hi h ib GHG
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Rice cultivation23%
Manuremanagement
5%
Emission fromsoils12%
Entericfermentation
59%
Crop residues1%
Mitigation: which sectors contribute more to GHGemissions
Source PK Aggarwal, 2008
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Mitigation strategies
Crop management : plant breeding, nutrient management, water
management, rice management, land use change, agroforestry, Grazing land management Management of Soil organic matter Restoration of degraded lands Livestock management : feed management, dietary additives,animal breeding Waste management Carbon sequestration soil as carbon sink zero tillage,conservation tillage Water pricing
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Framework for assessment of mitigation options
Fig source: Pathak et al, 2005
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Emissions and reductions from mid seasondrying of rice (Nelson et al 2009)
CO2 equivalentemissions
Reductions for onedrying (for rice)
Adaptation vs mitigation issues for agricultural
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Adaptation vs mitigation issues for agriculturalresearch and policy
Adaptation focus on crop breeding and management responses climate change is global, whereas adaptation is intensely local significant uncertainties in scaling down model scenarios to local scales adaptation is seasonal and usually considered at 3 to 20 year time horizons,
whereas climate change scenarios are for far future, 2050 or 2100 relevance of many current adaptation studies is therefore uncertain
Mitigation agriculture as part of solution to climate change problem BMPs can significantly reduce emissions (intermittent irrigation and drainage
reduces methane emissions by 40%; conservation tillage, fertilizermanagement, livestock feed improvements can reduce GHGs)
reduced GHGs can earn carbon credits (can be offset against subsidies) needs better understanding of processes and high traceability of BMPs
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Institutional arrangements in India
ICAR Network on Climate Change
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ICAR Network on Climate Changeand Agriculture: Thematic areas
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A Network on Climate Changeand agriculture launched in2004 for studies on impactassessment, adaptation andmitigation options
Current strength:
23 institutes > 100 scientists more planned
ICAR Network on Climate Change and Agriculture
S
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Summary
exposure mainly temperature and rainfall changes at
regional scales; information needed at finer resolutions(1km 2); other information needs include: changes in onsetand withdrawal of monsoon, LGP impact : limited to productivity at field scale; need forunderstanding connections with farm and regional scalesand with the agricultural value chain (farm to plate) costs: information needed on costs of adaptation/mitigation
alternatives : need to explore alternate strategies:insurance, information exchange, carbon offsets integration : climate policy with development policy data : need to develop national data sets
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Thank You