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      Modeling the potential impacts of climate change and adaptation strategies on groundnut production in India

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          Abstract

          Groundnut is one of the significant sources of oil, food, and fodder in India. It is grown in marginal arid and semi-arid agro-ecosystems with wide yield fluctuations due to spatial variability of rainfall and soil. Climate change, which is predicted to increase the intra- and inter-annual rainfall variability will further constrain the groundnut economy in India besides the global and domestic economic, social and policy changes. Through this study we aim to examine the biophysical and social economic impacts of climate change on groundnut production and prices to provide a comprehensive analysis of how agriculture and the food system will be affected. Using projected climate data for India, we estimated the biophysical impacts of climate change on groundnut during mid-century using representative concentration pathway (RCP 8.5) scenario. We examined the impacts of changes in population and income besides environmental factors on groundnut productivity. This is to highlight the importance of holistic assessment of biophysical and socioeconomic factors to better understand climate change impacts. Modelled projections show that by 2050, climate change under an optimistic scenario will result in −2.3 to 43.2% change in groundnut yields across various regions in India when climate alone was factored in. But the change in groundnut yields ranged from −0.9% to 16.2% when economic (population and income) and market variables (elasticities, trade, etc.) were also considered. Similarly, under pessimistic climate change scenario, the percent change in groundnut yields would be −33.7 to 3.4 with only the climate factored in and −11.2 to 4.3 with the additional economic and market variables included. This indicates the sensitivity of climate change impacts to differences in socioeconomic factors. This study highlights the need to take into account market effects to gain a holistic understanding of how economic and environmental factors impact agricultural food systems and economies.

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          Highlights

          • Projected climate change will impact groundnut yields by −34 to 43% across India.

          • Adaptation synergies developed showed promising in adverse climate conditions.

          • Biophysical and economic model integration is crucial for assessment of climate change.

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          Most cited references47

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          A new scenario framework for climate change research: the concept of shared socioeconomic pathways

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            Climate change effects on agriculture: economic responses to biophysical shocks.

            Agricultural production is sensitive to weather and thus directly affected by climate change. Plausible estimates of these climate change impacts require combined use of climate, crop, and economic models. Results from previous studies vary substantially due to differences in models, scenarios, and data. This paper is part of a collective effort to systematically integrate these three types of models. We focus on the economic component of the assessment, investigating how nine global economic models of agriculture represent endogenous responses to seven standardized climate change scenarios produced by two climate and five crop models. These responses include adjustments in yields, area, consumption, and international trade. We apply biophysical shocks derived from the Intergovernmental Panel on Climate Change's representative concentration pathway with end-of-century radiative forcing of 8.5 W/m(2). The mean biophysical yield effect with no incremental CO2 fertilization is a 17% reduction globally by 2050 relative to a scenario with unchanging climate. Endogenous economic responses reduce yield loss to 11%, increase area of major crops by 11%, and reduce consumption by 3%. Agricultural production, cropland area, trade, and prices show the greatest degree of variability in response to climate change, and consumption the lowest. The sources of these differences include model structure and specification; in particular, model assumptions about ease of land use conversion, intensification, and trade. This study identifies where models disagree on the relative responses to climate shocks and highlights research activities needed to improve the representation of agricultural adaptation responses to climate change.
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              The potential impacts of climate change on maize production in Africa and Latin America in 2055

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                Author and article information

                Contributors
                Journal
                Sci Total Environ
                Sci Total Environ
                The Science of the Total Environment
                Elsevier
                0048-9697
                1879-1026
                01 July 2021
                01 July 2021
                : 776
                : 145996
                Affiliations
                [a ]Acharya NG Ranga Agricultural University, Guntur, India
                [b ]International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru 502 324, Andhra Pradesh, India
                [c ]International Food Policy Research Institute, 2033 K St NW, Washington, DC 20006, USA
                [d ]German Development Institute, Bonn, Germany
                [e ]International Rice Research Institute, Viet Nam
                Author notes
                [* ]Corresponding author. dakshu2k@ 123456gmail.com
                Article
                S0048-9697(21)01063-9 145996
                10.1016/j.scitotenv.2021.145996
                8111332
                4ea66aa6-6d1c-4cce-a4bc-0931e5e942b8
                © 2021 The Author(s)

                This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

                History
                : 12 August 2020
                : 12 February 2021
                : 15 February 2021
                Categories
                Article

                General environmental science
                groundnut,dssat,climate change,adaptation,spatial modeling
                General environmental science
                groundnut, dssat, climate change, adaptation, spatial modeling

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