The AgMIP Coordinated Climate-Crop Modeling Project (C3MP): Methods and Protocols

McDermid, S P and Ruane, A C and Rosenzweig, C and Hudson, N I and Morales, M D and Agalawatte, P and Ahmad, S and Ahuja, L R and Amien, I and Anapalli, S S and Anothai, J and Asseng, S and Biggs, J and Bert, F and Bertuzzi, P and Bhatia, V S and Bindi, M and Broad, I and Cammarano, D and Carretero, R and Chattha, A A and Chung, U and Debats, S and Deligios, P and De Sanctis, G and Dhliwayo, T and Dumont, B and Estes, L and Ewert, F and Ferrise, R and Gaiser, T and Garcia, G and Gbegbelegbe, S and Geethalakshmi, V and Gerardeaux, E and Goldberg, R and Grant, B and Guevara, E and Hickman, J and Hoffmann, H and Huang, H and Hussain, J and Justino, F B and Karunaratne, A S and Koehler, A K and Kouakou, P K and Kumar, S N and Lakshmanan, A and Lieffering, M and Lin, X and Luo, Q and Magrin, G and Mancini, M and Marin, M R and Marta, A D and Masutomi, Y and Mavromatis, T and McLean, G and Meira, S and Mohanty, M and Moriondo, M and Nasim, W and Negm, L and Orlando, F and Orlandini, S and Ozturk, I and Soares Pinto, H M and Podesta, G and Qi, Z and Ramarohetra, J and ur Rahman, M H and Raynal, H and Rodriguez, G and Rötter, R and Sharda, V and Shuo, L and Smith, W and Snow, V and Soltani, A and Srinivas, K and Sultan, B and Swain, D K and Tao, F and Tesfaye, K and Travasso, M I and Trombi, G and Topaj, A and Vanuytrecht, E and Viscarra, F E and Aftab Wajid, S and Wang, E and Wang, H and Wang, J and Wijekoon, E and Byun-Woo, L and Xiaoguang, Y and Young, B H and Yun, J I and Zhao, Z and Zubair, L (2015) The AgMIP Coordinated Climate-Crop Modeling Project (C3MP): Methods and Protocols. In: Handbook of Climate Change and Agroecosystems: The Agricultural Model Intercomparison and Improvement Project (AgMIP) Integrated Crop and Economic Assessments, Part 2. ICP Series on Climate Change Impacts, Adaptation, and Mitigation: Volume 3, 1 . Imperial College Press, London, pp. 191-220. ISBN 978-1-78326-563-3

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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
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