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INCCA Initial 4x4 Assessment Report: Agriculture S. Naresh Kumar*, P.K. Aggarwal, R.C Upadhyay, E. Vivekanandan, R.M. Bhagat and others *Division of Environmental Sciences Indian Agricultural Research Institute New Delhi-110012, India [email protected] Presentation at INCCA meeting 16 th November, 2010

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Page 1: 4. Naresh Kumar - IARI - Agriculturemoef.gov.in/wp-content/uploads/2018/04/Agriculture-incca... · 2018. 7. 6. · Title: Microsoft PowerPoint - 4. Naresh Kumar - IARI - Agriculture.ppt

INCCA Initial 4x4 Assessment Report:

Agriculture

S. Naresh Kumar*, P.K. Aggarwal,

R.C Upadhyay, E. Vivekanandan, R.M. Bhagat and others

*Division of Environmental Sciences

Indian Agricultural Research Institute

New Delhi-110012, India

[email protected]

Presentation at INCCA meeting

16th November, 2010

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Outline • Introduction

• Methodology

• Assessments

– Western Ghats

– Costal region

– NE Region

– Himalayan region

– Dairy sector

• Assumptions and limitations

• Conclusions

• Future thrust

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• Ecologically and economically important areas :

WG, Coastal areas, NE and Himalayan region

• Agriculture in these areas is highly diverse and

important for sustainable livelihood of the local

population

• High value crops (temperate fruits; spices, tea,

coffee; fisheries)

• This is the first time study on impact of climate

change on agriculture in these ecologically sensitive

regions

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Methodology-

Controlled environment facilities used for

climate change studies at IARI

FACE, TGT, OTC

Deriving genetic coefficients

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Methodology- Baseline yields

Genotype

coefficients

CO2

369

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Methodology- Scenario yields

Genotype

coefficients

PRECIS A1 B2030 scenario data

Temperature (max, min) and rainfall

CO2

In 2030 scenario

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Western Ghats

Agriculture in WG

– Large estates (tea, coffee and rubber)

– Other plantations and spices which are generally grown

as inter crops

– Annual crops based farming consisting of mainly paddy,

vegetables, pulses, tuber crops and millets

– Home-stead faming: one of the key features of this area,

where-in a large number of species (annuals and

perennials) are included

Rice, sorghum, maize, millets, coconut

Tea, coffee, cashew, rubber, spices

Local varieties, low inputs

Soil erosion, high rainfall

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Projected impacts (PRECIS A1B 2030)

Irrigated rice rainfed sorghum

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rainfed maize coconut

Projected impacts (PRECIS A1B 2030)

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Reasoning change in cropping

pattern-Farmers’ perception

0

10

20

30

40

50

60

70

80

90

100

Water

scarcity

Irrigation Increased

day temp.

Decreased

day temp.

Increased

night temp.

Decreased

night temp

Low rainfall Change in

raining

period

High wind

Input related constraints Climate/ weather related constraints

Fa

rme

rs (%

)0

10

20

30

40

50

60

70

80

90

100

Price of

produce

Cost of

cultivation

Fuel wood Yield Demand Preferance

to

seasonal

crops

Preferance

to

perennial

crops

Socio-economic constraints/ reasons

Farm

ers

(%)

Tapioca, Rice, Lemon grass Pepper, coconut, coffee, arecanut, ginger

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Coastal DistrictsAgriculture in coastal districts

– Multi- dimentional, wide agro-biodiversity

– Varies from sustenance agriculture to commercial agriculture

– Annual crops

– Plantations

– Fisheries/ aqua culture

Rice, ground nut, coconut , cashew

Marine fish and shrimps

Sea level rise, salt water intrusion

High temperatures, heavy winds, cyclones, floods (east coast)

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Irrigated rice Irrigated maize

Projected impacts (PRECIS A1B 2030)

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Coconut

Projected impacts (PRECIS A1B 2030)

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Marine fisheries- past trends –Oil sardine

0.1% - 1%

1% - 10%

10 % - 25%

25% - 50%

>50%

LONGITUDE(°E]

LATITUDE(°N)

1961-1976 1977-1986

1987-1996 1997-2006

Source: Vivekanandan et al., 2009

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Possible responses of marine fishes to climate change

Extension of distributional boundary of small pelagics;

Extension of depth of occurrence –Indian mackerel; and

Phenological changes.

Change in spawning season of threadfin breams (Nemipterus japonicus and

N. mesoprion) off Chennai

Nemipterus japonicus: Change in spawning season off

Chennai

0

20

40

60

80

100

1980

1982

1984

1986

1993

1995

1997

1999

2001

2003

Year

Sp

aw

ners

(%

)

October - March

April - September

N. mesoprion : Change in spawning season off Chennai

0

20

40

60

80

100

1983

1985

1987

1993

1995

1997

1999

2001

2003

Year

Sp

aw

ne

rs (

%) October-March

April-September

(Source: Vivekanandan and Rajagopalan, 2009)

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The NE RegionAgriculture in NE region

– Rich biodiversity of agricultural crops (rice, tea, pulses)

– Rice, mustard

– Tea, jute, cotton, potato, sugarcane

– Agricultural practices

– Settled farming practice in plains, valleys, foothills and terrace slopes

– Shifting (Jhum) cultivation on hill slopes

– Prone to floods and soil erosion

– Home-stead faming

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Rainfed rice Mustard

Projected impacts (PRECIS A1B 2030)

Wheat Potato

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Himalayan region

Agriculture in Himalayan region

– Cereal-based production system (rice, wheat, maize, millets)

– Horticulture and/or agri-horti-based production system

(temperate fruits)

– High value horticulture (vegetables, mushroom, floriculture)

– Agri-horti-silvi-pastoral based production system

– Livestock-based production system

– Soil erosion, temperature rise, climatic extremes

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Shift in apple production zone to higher altitudes in

Himachal Pradesh

Bhagat et al., 2009

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Livestock productivity- Projections for 2030

Temperature-Humidity Index (THI) based assessment

• Himalayan region

• Projected to increase in THI in many parts of Himalayan region between

March-September with a maximum rise between April- July.

• Thermal discomfort is likely to increase with THI > 80

• North Eastern region

• Thermal discomfort is likely to increase between April-October months

with THI > 80

• Western ghats

• The THI is likely to increase in September-April months. Heat stress days

per annum are likely to increase with THI > 80.

• Coastal region

• The Coastal regions are likely to remain affected throughout the year in

2030 scenario with THI > 80.

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The THI load

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Assumptions and limitations of the study

• Area under crops in future is assumed to be similar to that in baseline

• Pest and disease incidence –similar to baseline period

• Future inter- annual

climatic variability and rainfall distribution is assumed to be similar as that

existed in baseline period

• Lack of representative farm level data

• The uncertainties of climate change scenarios particularly with reference

to rainfall

• Non consideration of socio-economic issues

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Conclusions

• Climate change is projected to affect the yields of cereal crops such as rice, wheat, maize and sorghum in these ecologically sensitive areas if current management practices are followed

• The temperature humidity stress on livestock is projected to increase, warranting better shelter management

• Fish distribution may further extend along the Indian coast

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Future thrust

Integrated impact and adaptation

assessment including all sectors of

agriculture

Developing specific adaptation strategies for

climatic risk

Assessment on Himalayan region

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