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Author Müller, C.; Robertson, R.D.
Title Projecting future crop productivity for global economic modeling Type Journal Article
Year 2014 Publication Agricultural Economics Abbreviated Journal (down) Agric. Econ.
Volume 45 Issue 1 Pages 37-50
Keywords climate change; crop modeling; agricultural productivity; land use; greenhouse-gas emissions; soil organic-carbon; sub-saharan africa; climate-change; elevated co2; land-use; system model; wheat yields; maize yields; agriculture
Abstract Assessments of climate change impacts on agricultural markets and land-use patterns rely on quantification of climate change impacts on the spatial patterns of land productivity. We supply a set of climate impact scenarios on agricultural land productivity derived from two climate models and two biophysical crop growth models to account for some of the uncertainty inherent in climate and impact models. Aggregation in space and time leads to information losses that can determine climate change impacts on agricultural markets and land-use patterns because often aggregation is across steep gradients from low to high impacts or from increases to decreases. The four climate change impact scenarios supplied here were designed to represent the most significant impacts (high emission scenario only, assumed ineffectiveness of carbon dioxide fertilization on agricultural yields, no adjustments in management) but are consistent with the assumption that changes in agricultural practices are covered in the economic models. Globally, production of individual crops decrease by 10-38% under these climate change scenarios, with large uncertainties in spatial patterns that are determined by both the uncertainty in climate projections and the choice of impact model. This uncertainty in climate impact on crop productivity needs to be considered by economic assessments of climate change.
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Publisher Place of Publication Editor
Language English Summary Language Original Title
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Series Volume Series Issue Edition
ISSN 0169-5150 ISBN Medium Article
Area Expedition Conference
Notes CropM, TradeM, ft_macsur Approved no
Call Number MA @ admin @ Serial 4533
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Author Wallach, D.
Title Developing skills: how to train adaptive modelers Type Journal Article
Year 2015 Publication Advances in Animal Biosciences Abbreviated Journal (down) Advances in Animal Biosciences
Volume 6 Issue 01 Pages 52-53
Keywords capacity building; skills development; training; integrated modeling
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Publisher Place of Publication Editor
Language English Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2040-4700 ISBN Medium Article
Area Expedition Conference
Notes Hub, ft_macsur Approved no
Call Number MA @ admin @ Serial 4683
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