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    NAARM

    India - Climate Change and Food Security

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    NH RaoNational Academy of Agricultural Research

    Management, Rajendranagar, Hyderabad

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    outline

    Climate related changes

    Temperature (averages and extremes)

    Precipitation (averages and extremes)

    Intensity, frequency, duration, location of extreme

    weather events

    Sea level rise

    Atmospheric carbon dioxide (CO2) concentrations

    projections

    implications for food security

    policy

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    Changes in temperature

    -0.2

    0

    0.2

    0.4

    0.6

    0.8

    1

    1.2

    DJF MAM JJAS ON Annual

    SEASONS

    TEMP.TREND

    inC/100yrs

    Regional Variations in Max Temp Trends

    0

    0.2

    0.4

    0.6

    0.8

    1

    1.2

    1.4

    West Him. North West North

    Central

    North Eas t West

    Coast

    East Coast Interior

    Pen.

    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 andWestern Himalayan show largerincrease

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    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 characteristicsincrease in frequency of high rainfall events

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    share of GHG emissions

    Indias share:

    1990 2000

    Source : Sharma et al, 2006

    Greenhouse gas emissions, 2004 estimates (million mt, CO2e)

    CO2 CH4 N2O PFC HFC SF6 Total

    World 28,485 6,408 3,286 108 381 60 38,726

    India 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

    GWP of CH4 : 25 times CO2 ; GWP of N2O : 298times CO2

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    status of climate models

    PRECIS

    source: Rupakumar et al, 2006

    observed

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    Projections (2071-2100)

    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

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    climate change and food security assessment

    crop

    models

    crop models+

    farm/regionaldatabases

    +GIS

    Crop models+

    farm/regional

    databases+GIS

    +vulnerabilityassessments

    Fig source: Ingram etal, 2005

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    factors affecting productivity

    rising temperature

    decrease in length of growing

    period

    monsoon dependence

    increase in rainfall offset by risein temperature

    link with water security

    increase in water resources

    in most river basins

    increased variability because

    of increased rainfall variability,

    floods/ droughts

    Acute physical water

    scarce conditions

    Constant water

    scarcities and shortage

    Seasonal / regularstressed conditions

    Rare water shortages

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    impacts on productivity

    Source PK Aggarwal, 2008

    productivity decrease due to increase in temperature and decrease inwater availability (especially in Indo-Gangetic plains).

    greater loss in rabi ; every 1oC increase in temperature reduces wheatproduction by 4-5 million tons.

    increased climatic extremes- droughts and floods- lead to increased

    production variability

    increased fertilizer requirement for the same production targets; leading

    to 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

    quality of several commodities could change, e.g basmati rice,

    medicinal and aromatic plants

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    Food UtilizationNutritionalValue

    Social ValueFood safety

    Food AccessAffordabilityAllocation

    Preference

    Food AvailabilityProductionDistribution

    Exchange

    Stability of production base

    determinants of food security

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    household: food insecurity in India

    Fig source: MSSRF

    Food security assessment

    Additional undernourisheddue to climate change

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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, even

    with modest warmingprojected reduction for South Asia (20%)

    can challenge food security with increasing climate variability and

    frequencies 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)

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    IPCC Definition

    Vulnerability is the degree to which a systemissusceptible to, and unable to cope with, adverseeffects of climate change, including climate

    variabilityand 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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    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)

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    Low adaptive capacity: districts in

    Bihar (Jharkhand), Rajasthan,

    Madhya Pradesh, Andhra Pradesh,Maharashtra, Karnataka

    Biophysical

    vulnerability

    Social

    vulnerabilityTechnical

    vulnerability

    Adaptivecapacity

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    Climate sensitivity

    1961-90 With exposure:

    2x CO2

    High Climate Sensitivity: districts in Rajasthan,

    Gujarat, Punjab, Haryana, Madhya Pradesh, and

    Uttar Pradesh.

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    Indian agriculture - current vulnerability to FutureClimate Change

    Hot spots: districts inJharkhand

    Rajasthan

    Gujarat

    Northern Maharashtra

    Madhya Pradesh

    Follow up:

    Targeted studies at village level

    in above districts to validate or

    identify barriers at local level

    Useful for assessing relative distribution ofvulnerability to climate change at district level

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    Rice cultivation

    23%

    Manure

    management

    5%

    Emission from

    soils

    12%

    Enteric

    fermentation

    59%

    Crop residues

    1%

    Mitigation: which sectors contribute more to GHGemissions

    Source PK Aggarwal, 2008

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    Mitigation strategies

    Crop management: plant breeding, nutrient management, watermanagement, 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

    Bio-energy

    Carbon sequestration soil as carbon sink zero tillage,conservation tillage

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    Adaptation vs mitigation issues for agriculturalresearch

    Adaptation

    focus on crop breeding and management responsesclimate 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

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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

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    Thank You