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.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
