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Abstract
Climate change is expected to alter a multitude of factors important to agricultural systems, including pests, diseases, weeds, extreme climate events, water resources, soil degradation, and socio-economic pressures. Changes to carbon dioxide concentration ([CO2]), temperature, andwater (CTW) will be the primary drivers of change in crop growth and agricultural systems. Therefore, establishing the CTW-change sensitivity of crop yields is an urgent research need and warrants diverse methods of investigation. Crop models provide a biophysical, process-based tool to investigate crop responses across varying environmental conditions and farm management techniques, and have been applied in climate impact assessment by using a variety of methods (White et al., 2011, and references therein). However, there is a significant amount of divergence between various crop models’ responses to CTW changes (R¨otter et al., 2011). While the application of a site-based crop model is relatively simple, the coordination of such agricultural impact assessments on larger scales requires consistent and timely contributions from a large number of crop modelers, each time a new global climate model (GCM) scenario or downscaling technique is created. A coordinated, global effort to rapidly examine CTW sensitivity across multiple crops, crop models, and sites is needed to aid model development and enhance the assessment of climate impacts (Deser et al., 2012)...
| Item Type: | Book Section |
|---|---|
| Divisions: | UNSPECIFIED |
| CRP: | UNSPECIFIED |
| Series Name: | ICP Series on Climate Change Impacts, Adaptation, and Mitigation: Volume 3 |
| Uncontrolled Keywords: | AgMIP, Climate-Crop Modeling, Crop Modeling |
| Subjects: | Others > Climate Change |
| Depositing User: | Mr Ramesh K |
| Date Deposited: | 15 Jun 2018 08:47 |
| Last Modified: | 15 Jun 2018 08:47 |
| URI: | http://oar.icrisat.org/id/eprint/10750 |
| Acknowledgement: | UNSPECIFIED |
| Links: |
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