Abstract
This chapter discusses different methodologies used to assess the impact of climate change on agricultural production. Crop bio-physical simulation models and regression models are the methodologies widely used to estimate the effects of environmental changes (climate change) on agricultural production through agricultural productivity. Most studies on the possible impact of climate change on crop yields used mainly indirect crop simulation models that make use of crop biophysical simulation. Predictions of the yield changes in response to changes in climate variables, from regression models based on historical climatic and yield data for specific crops are also widely used. This can be done through application of production function. Each of the methodologies used to assess the impact of global climate change on agricultural production is described in this section.
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Maharjan, K.L., Joshi, N.P. (2013). Methodologies to Assess the Impact of Climate Change in Agriculture. In: Climate Change, Agriculture and Rural Livelihoods in Developing Countries. Advances in Asian Human-Environmental Research. Springer, Tokyo. https://doi.org/10.1007/978-4-431-54343-5_6
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DOI: https://doi.org/10.1007/978-4-431-54343-5_6
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