2016
DOI: 10.1007/s10584-016-1654-9
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CLMcrop yields and water requirements: avoided impacts by choosing RCP 4.5 over 8.5

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Cited by 67 publications
(68 citation statements)
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“…These projections are consistent with the observed global intensification of drought conditions derived from drought indices and environmental variables such as the difference between precipitation and evaporation (Dai 2012). They also agree with crop model simulations that project an increase in global irrigation requirements (Levis et al 2016).…”
Section: Introductionsupporting
confidence: 86%
“…These projections are consistent with the observed global intensification of drought conditions derived from drought indices and environmental variables such as the difference between precipitation and evaporation (Dai 2012). They also agree with crop model simulations that project an increase in global irrigation requirements (Levis et al 2016).…”
Section: Introductionsupporting
confidence: 86%
“…• Decrease in crop yield up to 3 t/ha in parts of tropical and sub-tropical Africa due to increase in temperature • Possibility of mitigation of yield loss by irrigation and CO 2 fertilization effect • Increase in global irrigation requirements for C4 crops is 23% (without CO 2 fertilization) and 3% (with CO 2 fertilization) [118] Systematic review and meta-analysis of data…”
Section: Regions or Countries Model/methodology Major Findings Referementioning
confidence: 99%
“…In the second step of our analysis, climate impacts on exogenous yields are obtained using a version of CLM4.5 (Levis et al 2018) in which seven explicit crop types were modeled (temperate corn, soybean, wheat, sugarcane, cotton, tropical corn, and tropical soybean). Exogenous yield impacts (Nelson et al 2014) are defined as climate effects on yield evaluated in CLM, used as exogenous input to iPETS; within iPETS, economic adjustments determine actual yield changes.…”
Section: Methodsmentioning
confidence: 99%