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Predicting climate change effects on agriculture from ecological niche modeling: who profits, who loses?

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  • Jan Beck

Abstract

The susceptibility of agriculture to changing environmental conditions is arguably the most dangerous short-term consequence of climate change, and predictions on the geography of changes will be useful for implementing mitigation strategies. Ecological niche modeling (ENM) is a technique used to relate presence records of species to environmental variables. By extrapolation, ENM maps the suitability of a landscape for the species in question. Recently, ENM was successfully applied to predict the geographic distribution of agriculture. Using climate and soil conditions as predictor variables, agricultural suitability was mapped across the Old World. Here, I present analogous ENM-based maps of the suitability for agriculture under climate change scenarios for the year 2050. Deviations of predicted scenarios from a current conditions model were analyzed by (1) comparing relative average change across regions, and (2) by relating country-wide changes to the data indicative of the wealth of nations. The findings indicate that different regions vary considerably in whether they win or lose in agricultural suitability, even if average change across the entire study region is small. A positive relationship between the wealth of nations and change in agriculture conditions was found, but variability around this trend was high. Parts of Africa, Europe and southern and eastern Asia were predicted to be particularly negatively affected, while north-eastern Europe, among other regions, can expect more favorable conditions for agriculture. The results are presented as an independent “second opinion” to previously published, more complex forecasts on agricultural productivity and food supply variability due to climatic change, which were based on fitting environmental variables to yield statistics. Copyright Springer Science+Business Media B.V. 2013

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  • Jan Beck, 2013. "Predicting climate change effects on agriculture from ecological niche modeling: who profits, who loses?," Climatic Change, Springer, vol. 116(2), pages 177-189, January.
    • Handle: RePEc:spr:climat:v:116:y:2013:i:2:p:177-189
    DOI: 10.1007/s10584-012-0481-x
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    1. Camille Parmesan & Gary Yohe, 2003. "A globally coherent fingerprint of climate change impacts across natural systems," Nature, Nature, vol. 421(6918), pages 37-42, January.
    2. Barry Smit & Mark Skinner, 2002. "Adaptation options in agriculture to climate change: a typology," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 7(1), pages 85-114, March.
    3. Jonathan A. Patz & Diarmid Campbell-Lendrum & Tracey Holloway & Jonathan A. Foley, 2005. "Impact of regional climate change on human health," Nature, Nature, vol. 438(7066), pages 310-317, November.
    4. Mendelsohn, Robert & Dinar, Ariel, 1999. "Climate Change, Agriculture, and Developing Countries: Does Adaptation Matter?," The World Bank Research Observer, World Bank, vol. 14(2), pages 277-293, August.
    5. Austin, Mike, 2007. "Species distribution models and ecological theory: A critical assessment and some possible new approaches," Ecological Modelling, Elsevier, vol. 200(1), pages 1-19.
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    3. Carolyn Mann & Kate Sherren, 2018. "Holistic Management and Adaptive Grazing: A Trainers’ View," Sustainability, MDPI, vol. 10(6), pages 1-19, June.
    4. Platania, Federico & Hernandez, C. Toscano & Arreola, Fernanda, 2022. "Social media communication during natural disasters and the impact on the agricultural market," Technological Forecasting and Social Change, Elsevier, vol. 179(C).
    5. Abel Chemura & Dumisani Kutywayo & Danisile Hikwa & Christoph Gornott, 2022. "Climate change and cocoyam (Colocasia esculenta (L.) Schott) production: assessing impacts and potential adaptation strategies in Zimbabwe," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 27(6), pages 1-20, August.
    6. Marcelo Sthel & José Glauco Tostes & Juliana Tavares, 2013. "Sustainable Complex Triangular Cells for the Evaluation of CO 2 Emissions by Individuals instead of Nations in a Scenario for 2030," Sustainability, MDPI, vol. 5(5), pages 1-16, May.

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