Your search found 2 records
1 Asseng, S.; Ewert, F.; Martre, P.; Rotter, R. P.; Lobell, D. B.; Cammarano, D.; Kimball, B. A.; Ottman, M. J.; Wall, G. W.; White, J. W.; Reynolds, M. P.; Alderman, P. D.; Prasad, P. V. V.; Aggarwal, Pramod Kumar; Anothai, J.; Basso, B.; Biernath, C.; Challinor, A. J.; De Sanctis, G.; Doltra, J.; Fereres, E.; Garcia-Vila, M.; Gayler, S.; Hoogenboom, G.; Hunt, L. A.; Izaurralde, R. C.; Jabloun, M.; Jones, C. D.; Kersebaum, K. C.; Koehler, A-K.; Muller, C.; Kumar, S. N.; Nendel, C.; O’Leary, G.; Olesen, J. E.; Palosuo, T.; Priesack, E.; Rezaei, E. E.; Ruane, A. C.; Semenov, M. A.; Shcherbak, I.; Stockle, C.; Stratonovitch, P.; Streck, T.; Supit, I; Tao, F.; Thorburn, P. J.; Waha, K.; Wang, E.; Wallach, D.; Wolf, J.; Zhao, Z.; Zhu, Y. 2015. Rising temperatures reduce global wheat production. Nature Climate Change, 5:143-147. [doi: https://doi.org/10.1038/nclimate2470]
(Location: IWMI HQ Call no: e-copy only Record No: H046906)
Crop models are essential tools for assessing the threat of climate change to local and global food production1. Present models used to predict wheat grain yield are highly uncertain when simulating how crops respond to temperature2. Here we systematically tested 30 different wheat crop models of the Agricultural Model Intercomparison and Improvement Project against field experiments in which growing season mean temperatures ranged from 15 °C to 32 °C, including experiments with artificial heating. Many models simulated yields well, but were less accurate at higher temperatures. The model ensemble median was consistently more accurate in simulating the crop temperature response than any single model, regardless of the input information used. Extrapolating the model ensemble temperature response indicates that warming is already slowing yield gains at a majority of wheat-growing locations. Global wheat production is estimated to fall by 6% for each °C of further temperature increase and become more variable over space and time.
2 Kalkuhl, M.; Schwerhoff, G.; Waha, K.. 2020. Land tenure, climate and risk management. Ecological Economics, 171:106573. [doi: https://doi.org/10.1016/j.ecolecon.2019.106573]
Land tenure ; Climate change ; Risk management ; Share cropping ; Fertilizer application ; Farmers ; Livestock ; Investment ; Precipitation ; Strategies ; Household surveys ; Models / Africa / Burkina Faso / Cameroon / Ghana / Niger / Senegal / Egypt / Ethiopia / Kenya / South Africa / Zambia / Zimbabwe
(Location: IWMI HQ Call no: e-copy only Record No: H049641)
(1.66 MB)
We analyze to what extent climate conditions affect the prevalence of sharecropping as a form of traditional land tenure. We investigate how sharecropping tenure is related to climate risk and how it interacts with fertilizer use and livestock ownership that both influence production risk. We first develop a stylized theoretical model to illustrate the role of climate for land tenure and production. Our empirical analysis is based on more than 9000 households with considerable heterogeneity in climate conditions across several African countries. We find that farmers in areas with low precipitation are more likely to be sharecroppers. We further find evidence for risk management interaction effects as sharecropping farmers are less likely to own livestock and more likely to use fertilizer. In economies where formal kinds of insurance are unavailable, sharecropping thus functions as a form of insurance and reduces the need for potentially costly risk management strategies.
Powered by DB/Text WebPublisher, from
