Climate Smart Agriculture, need for 21st century to achieve socioeconomic and climate resilience agriculture in India: A geospatial perspective

Firoz Ahmad, Nazimur Rahman Talukdar, Meraj Uddin, Laxmi Goparaju

DOI: http://dx.doi.org/10.12775/28645

Abstract


Climate change is now widely recognized as the major environmental threat
occurring mainly due to increasing greenhouse gases in the atmosphere and causing the
extinction of biodiversity and enhances disruptions to ecosystems. Climate change risks are
found to be very significant and would have a profound impact on the livelihoods of millions
of poor people in India. In the present study, we have analyzed datasets of agriculture
Greenhouse gases (GHGs) emission (1990-2016), poverty, anthropogenic biomes, agriculture
crop production scenario (2008-2017), seasonal soil moisture status present (2006-2015) and
deficit (compared with 20 years’ time periods), present (1970-2000) annual mean, future
(2050) precipitation and temperature scenario of India and investigated the spatial pattern and
relationship incorporating in remote sensing and GIS for the better comprehension of the
impact of climate changes on the socio-economic dimension of the people. The total GHGs
emissions (CO2 equivalent) from agriculture in India were showing the increasing trend
(approximately 1% annually) whereas the increasing trend has decreased notably in the last
five years. The states of Bihar, Uttar Pradesh, West Bengal, Assam, Punjab, and Tamil Nadu
and Andhra Pradesh of India were found producing higher GHGs emissions from agriculture.
The present soil moisture and the deficit during the Kharif, Rabi, and Zaid seasons
vary geographically whereas soil moisture deficit during the Kharif season was found very
significant over most of the districts of Ganga and Brahmaputra basin. The present mean
annual temperature and precipitation patterns were found very significant in arid and semiarid
regions which are known as the farmer’s suicide hotspot and are predicted to threaten
more in the future (2050). The evaluation highlights the need for synergic approaches such as
climate-smart agriculture (CSA) to address the impact of climate change in food production
and farmers’ livelihood. Such an investigation gives a solid understanding of a paradigm shift
in the adaptation of CSA an approach in prevailing new climate change reality at country or
regional levels for achieving socio-economic and climate resilience agriculture in India.


Keywords


climate; greenhouse gas; India; Remote Sensing; socio-economic; soil moisture

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References


Abatzoglou J.T., Dobrowski S.Z., Parks S.A. & Hegewisch K.C., 2018, TerraClimate a high-resolution global dataset of monthly climate and climatic water balance from 1958-2015. Scientific Data 5: 1-12. (https://doi.org/10.1038/sdata.2017.191).

Agarwal B., 2013, Food security, productivity, and gender inequality. The Oxford Handbook of Food, Politics, and Society. (https://doi.org/10.1093/oxfordhb/9780195397772.013.002).

Aggarwal R., 2018, Declining soil fertility: Indian agriculture needs renewed focus on soil health. (https://www.worldofchemicals.com/media/declining-soil-fertility-indian-agriculture-needs-renewed-focus-on-soil-health/738.html) [Accessed on 20th November 2018].

Ahmad F. & Goparaju L., 2017, Land Evaluation in terms of Agroforestry Suitability, an Approach to Improve Livelihood and Reduce Poverty: A case study of Palamu district, Jharkhand, India. Ecological Questions 25: 67-84. (http://dx.doi.org/10.12775/EQ.2017.006).

Ahmad F., Goparaju L. & Qayum A., 2019a, Geo-spatial perspective of vegetation health evaluation and climate change scenario in India. Spat. Inf. Res. (https://doi.org/10.1007/s41324-018-00231-3).

Ahmad F., Uddin M.M. & Goparaju L., 2019b, Analysis of forest health and socioeconomic dimension in climate change scenario and its future impacts: Remote sensing and GIS approach. Spat. Inf. Res. (https://doi.org/10.1007/s41324-019-00245-5).

Ahmad F., Uddin M.M. & Goparaju L., 2018, An evaluation of vegetation health and the socioeconomic dimension of the vulnerability of Jharkhand state of India in climate change scenarios and their likely impact: A geospatial approach. Environmental & Socio-economic Studies 6(4): 39-47. (doi: 10.2478/environ-2018-0026).

Bhushan C., 2015, India is not prepared to tackle climate change impacts. (https://www.downtoearth.org.in/blog/india-is-not-prepared-to-tackle-climate-change-impacts-43888).

Carleton T.A., 2017, Crop-damaging temperatures increase suicide rates in India. PNAS 114(33): 8746–8751. (https://doi.org/10.1073/pnas.1701354114).

Carlson K.M., Gerber J.S., Mueller N.D., Herrero M., MacDonald G.K., Brauman K., Havlik P., O’connell Ch.S., Johnson J., Saatchi S.S., West P.C., 2016, Greenhouse gas emissions intensity of global croplands. Nature Climate Change 7(1): 63–68. (doi:10.1038/nclimate3158).

CGIAR, 2012, Agriculture and Food Production Contribute Up to 29 Percent of Global Greenhouse Gas Emissions According to Comprehensive Research Papers. (https://ccafs.cgiar.org/news/press-releases/agriculture-and-food-production-contribute-29-percent-global-greenhouse-gas#.XIkmYigzY2w).

Chakraborty A., Seshasai M.V.R., Reddy C.S. & Dadhwal V.K., 2018, Persistent negative changes in seasonal greenness over different forest types of India using MODIS time series NDVI data (2001–2014). Ecological Indicators 85: 887–903. (https://doi.org/10.1016/j.ecolind.2017.11.032).

Corner-Dolloff C., 2014, Climate-smart agriculture investment prioritization framework. Presentation at COP 20, Lima, Peru. (http://es.slideshare.net/ciatdapa/climatesmart-agriculture-investment-prioritization-framework).

Dearing J., Battarbee R., Dikau R., Larocque I. & Oldfield F., 2006, Human–environment interactions: learning from the past. Regional Environmental Change 6: 1–16.

Diwakar S., Surinder K. & Das A.K., 2017, Long Term Rainfall Trend over Meteorological Sub Divisions and Districts of India. MAUSAM 68(3): 439-450. (doi: 10.13140/RG.2.1.3908.4409).

Ellis E.C., Klein Goldewijk K., Siebert S., Lightman D. & Ramankutty N., 2010, Anthropogenic transformation of the biomes, 1700 to 2000. Glob. Ecol. Biogeogr.19: 589–606. (https://doi.org/10.1111/j.1466-8238.2010.00540.x).

Ellis E.C., Goldewijk K.K., Siebert S., Lightman D. & Ramankutty N., 2013, Anthropogenic Biomes of the World, Version 2, 2000. Palisades, NY: NASA

Socioeconomic Data and Applications Center (SEDAC). (http://sedac.ciesin.columbia.edu/downloads/maps/anthromes/anthromes-anthropogenic-biomes-world-v2-2000/anthromes-v2-2000-asia.png).

FAO, 2010, “Climate-Smart” Agriculture Policies, Practices and Financing for Food Security, Adaptation and Mitigation; Food and Agriculture Organization of the United State of America (FAO): Rome, Italy, 2010; pp. 1–49. (http://www.fao.org/docrep/013/i1881e/i1881e00.htm) [Accessed on 20th November 2018].

FAO, 2012, Climate Smart Agriculture Sourcebook. (http://www.fao.org/climate-smart-agriculture-sourcebook/production-resources/module-b1-crops/chapter-b1-2/en/) [Accessed on 22 Jan 2019].

FAO, 2019, http://www.fao.org/faostat/en/#country/100 [Accessed on 22 Jan 2019].

Fick S.E. & Hijmans R.J., 2017, WorldClim 2: New 1-km spatial resolution climate surfaces for global land areas. International Journal of Climatology 37(12): 4302-4315.

Goparaju L. & Ahmad F., 2019, Analyzing the risk related to climate change attributes and their impact, a step towards climate-smart village (CSV): a geospatial approach to bring geoponics sustainability in India. Spat. Inf. Res. (https://doi.org/10.1007/s41324-019-00258-0).

Goswami B.N., Venugopal V., Sengupta D., Madhusoodanam M.S. & Xavier P.K., 2006, Increasing trends of extreme rain events over India in a warming environment. Science 314: 1442–1445.

Goswami B.N., Venugopal V., Sengupta D., Madhusoodanan M.S. & Xavier P.K., 2016, Increasing trend of extreme rain events over India in a warming environment. Science Dec 1, 314(5804): 1442-1444. (doi: 10.1126/science.1132027).

Howland F., Andrieu N. & Bonilla-Findji O., 2018, Understanding socioeconomic aspects influencing CSA adoption. CCAFS Working Paper No. 247. Wageningen, The Netherlands: CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS). [Available online at www.ccafs.cgiar.org.].

Indexmundi, 2019, https://www.indexmundi.com/agriculture/?commodity=cattle&graph=production. [Accessed in 11/04/2019].

IPCC, 2007, “Climate change: the physical science basis. Summary for policymakers,” Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change, IPCC Secretariat, Geneva, Switzerland.

IPCC, 2014, Climate change 2014: Synthesis Report. Contribution of Working Groups I, II and III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change [Core Writing Team, R.K. Pachauri and L.A. Meyer, (eds.)]. IPCC, Geneva, Switzerland, 151 pp.

Josh K.E., 2018, Deadliest India floods in recent history – and what caused them. (https://globalnews.ca/news/4411144/india-worst-floods/) [Accessed on 20th November 2018].

Khatri-Chhetri A., Regmi P.P., Chanana N. & Aggarwal P.K., 2019, Potential of climate-smart agriculture in reducing women farmers’ drudgery in high climatic risk areas. Climatic Change (https://doi.org/10.1007/s10584-018-2350-8).

Kumar D., 2017, River Ganges: historical, cultural and socioeconomic attributes. Aquatic Ecosystem Health and Management 20(1): 8–20.

Kumar R. & Ambastha K., 2016, Wetlands of the Ganga-Brahmaputra Basin, [in:] C. Finlayson, G. Milton, R. Prentice, N. Davidson (eds.) The Wetland Book. Springer, Dordrecht.

Kumar B.M. & Takeuchi K., 2009, Agroforestry in the Western Ghats of peninsular India and the satoyama landscapes of Japan: a comparison of two sustainable land use systems. Sustain. Sci. 4: 215. (https://doi.org/10.1007/s11625-009-0086-0).

Kumar V., Jain S.K. & Singh Y., 2010, Analysis of long term precipitation trends in India. Hydrol. Sci. J. 55(4): 484–496.

Lal M., Cubasch U., Voss R. & Waszkewitz J., 1995, Effect of transient increases in greenhouse gases and sulphate aerosols on monsoon climate. Current Sci. 69(9): 752–763.

Lewis M.W., 2013, Remapping Poverty in India. (http://www.geocurrents.info/geonotes/remapping-poverty-in-india) [Accessed on 22 Jan 2019].

Lipper L., Thornton P., Campbell B.M., Baedeker T., Braimoh A., Bwalya M., Caron P., Cattanea A., Garrity D., Henry K., Hottle R., Jackson L., Jarvis A., Kossam F., Mann W., McCarthy N., Meybeck A., Neufeldt H., Remington T., Sen P.T., Sessa R., Shula R., Tibu A. & Torquebiau E.F., 2014, Climate-smart agriculture for food security. Nature Climate Change 4(12): 1068-1072. (http://dx.doi.org/10.1038/nclimate2437).

Menon P., Deolalikar A. & Bhaskar A., 2009, India State Hunger Index: Comparisons of Hunger across States. Jointly published by the International Food Policy Research Institute, Welt Hunger Hilfe, and Univ. California Riverside; Washington, DC, Bonn, Riverside.

Minj H.P., 2013, Social dimension of climate change on tribal societies of Jharkhand. International Journal of Social Science & Interdisciplinary Research 2(3): 34–41.

Oldeman L.R., Hakkeling R.T.A. & Sombroek W.G., 1991, World Map of the Status of Human-Induced Soil Degradation: An explanatory Note (rev. ed.). UNEP and ISRIC, Wageningen. (https://isric.org/isric/webdocs/docs/ExplanNote.pdf).

Pandey K., 2018, Hotter than normal: trends show that it is true for both summer and winter temperature. (https://www.downtoearth.org.in/news/climate-change/hotter-than-normal-trends-show-that-it-is-true-for-both-summer-and-winter-temperature-60352).

Pangaluru K., Velicogna I., Aa G., Mohajerani Y., Ciracì E., Cpepa S., Basha G. & Rao S.V.B., 2019, Soil Moisture Variability in India: Relationship of Land Surface–Atmosphere Fields Using Maximum Covariance Analysis. Remote Sensing 11(3): 335. (https://doi.org/10.3390/rs11030335).

Patra N.K. & Babu S.C., 2017, Mapping Indian Agricultural Emissions: Lesson s for food system transformation and policy support for climate-smart agriculture. International Food Policy Research Institute, IFPRI-Washington, DC, USA, IFPRI Discussion Paper 01660, 39 pp.

Prasanna V, 2014, Impact of monsoon rainfall on the total foodgrain yield over India. J. Earth Syst. Sci. 123(5): 1129-1145.

Ramanathan V., Chung C., Kim, D., Bettge T., Buja L., Kiehl J.T., Washington W.M., Fu Q., Sikka D.R. & Wild M., 2005, Atmospheric brown clouds: impacts on South Asian climate and hydrological cycle. Proceedings of National Academy of Sciences of the United States of America 102: 5326-5333.

Robock A., 2015, Hydrology, floods and droughts|soil moisture. encyclopedia of atmospheric sciences, 2nd edn, pp 232–239. (https://doi.org/10.1016/B978-0-12-382225-3.00169-9).

Reichert J.M., Benites J.R.,& Dalvan R., 2019, Soil moisture and structure as key factors for crop production. (https://www.researchgate.net/publication/265239919_SOIL_MOISTURE_AND_STRUCTURE_AS_KEY_FACTORS_FOR_CROP_PRODUCTION).

Sadashiv K.R., 2015, Farmers Suicide in India- Causes and Remedies: 2006-2010. Journal of Economics and Sustainable Development 6(1): 1-8.

Sebastian C., 2019, Soil moisture, a key to better agricultural yield. (http://satyukt.com/soil-moisture-a-key-to-better-agricultural-yield/).

Sharma D.C., 2018, Rising temperature: India is warming up rapidly. (https://www.thehindubusinessline.com/news/science/rising-temperature-india-is-warming-up-rapidly/article23893591.ece) [Accessed on 20th November 2018].

Sharma S., 2009, Rethinking watershed development in India: strategy for the twenty first century, [in:] M. Achouri, K. Tennyson, K. Upadhyay, R. White (eds.), Proceedings of Asian Regional Workshop on Water Management, Preparing for Next Generation

Watershed Development Programs and Projects, 11–13 September 2003. Food and Agriculture Organization, Rome, Kathmandu.

Shiao T., Maddocks A., Carson C. & Loizeaux L., 2015, 3 Maps Explain India’s Growing Water Risks. (https://www.wri.org/blog/2015/02/3-maps-explain-india-s-growing-water-risks) [Accessed on 20th November 2018].

Sikka A.K., Islam A. & Rao K.V., 2018, Climate-Smart Land and Water Management for Sustainable Agriculture. Irrigation and Drainage 67(1): 72-81. (https://doi.org/10.1002/ird.2162).

Tyalagadi M., Gadgil A. & Krishnakumar G., 2015, Monsoonal Droughts In India – A Recent Assessment. Papers on Global Change 22(1): 19-35. (https://doi.org/10.1515/igbp-2015-0013).

WEF, 2018, Why India is most at risk from climate change. (https://www.weforum.org/agenda/2018/03/india-most-vulnerable-country-to-climate-change).

WFP, 2019, World food programme. (https://www1.wfp.org/countries/india) [Accessed on 22 Jan 2019].

World Bank, 2013, India: Climate Change Impacts. (http://www.worldbank.org/en/news/feature/2013/06/19/india-climate-change-impacts).

World Bank, 2018, Climate-Smart Agriculture. (https://www.worldbank.org/en/topic/climate-smart-agriculture).

World Bank Group, FAO and IFAD, 2015, Gender in Climate Smart Agriculture. (https://www.ifad.org/documents/38714170/39155702/gender_climate_smart.pdf/8fa21751-5134-417b-af8d-ed84d2e203b3).

Zhao G. & Siebert S., 2015, Season-wise irrigated and rainfed crop areas for India around year 2005. MyGeoHUB. (doi:10.13019/M2CC71).

http://www.fao.org/docrep/t1696e/t1696e02.htm




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