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author Nelson, Gerald C.
Valin, Hugo
Sands, Ronald D.
Havlík, Petr
Ahammad, H.
Deryng, Delphine
Elliott J
Fujimori, Shinichiro
Hasegawa, Tomoko
Heyhoe, Edwina
Kyle, Page
Lampe M. von
Lotze-Campen, Hermann
Mason-D'Croz, Daniel
Meijl, Hans van
Mensbrugghe, Dominique van der
Müller, Christoph
Popp, Alexander
Robertson, Richard D.
Robinson, Sherman
Schmid, Erwin
Schmitz, Christoph
Tabeau, Andrzej
Willenbockel, Dirk
author_browse Ahammad, H.
Deryng, Delphine
Elliott J
Fujimori, Shinichiro
Hasegawa, Tomoko
Havlík, Petr
Heyhoe, Edwina
Kyle, Page
Lampe M. von
Lotze-Campen, Hermann
Mason-D'Croz, Daniel
Meijl, Hans van
Mensbrugghe, Dominique van der
Müller, Christoph
Nelson, Gerald C.
Popp, Alexander
Robertson, Richard D.
Robinson, Sherman
Sands, Ronald D.
Schmid, Erwin
Schmitz, Christoph
Tabeau, Andrzej
Valin, Hugo
Willenbockel, Dirk
author_facet Nelson, Gerald C.
Valin, Hugo
Sands, Ronald D.
Havlík, Petr
Ahammad, H.
Deryng, Delphine
Elliott J
Fujimori, Shinichiro
Hasegawa, Tomoko
Heyhoe, Edwina
Kyle, Page
Lampe M. von
Lotze-Campen, Hermann
Mason-D'Croz, Daniel
Meijl, Hans van
Mensbrugghe, Dominique van der
Müller, Christoph
Popp, Alexander
Robertson, Richard D.
Robinson, Sherman
Schmid, Erwin
Schmitz, Christoph
Tabeau, Andrzej
Willenbockel, Dirk
author_sort Nelson, Gerald C.
collection Repository of Agricultural Research Outputs (CGSpace)
description Agricultural production is sensitive to weather and thus directly affected by climate change. Plausible estimates of these climate change impacts require combined use of climate, crop, and economic models. Results from previous studies vary substantially due to differences in models, scenarios, and data. This paper is part of a collective effort to systematically integrate these three types of models. We focus on the economic component of the assessment, investigating how nine global economic models of agriculture represent endogenous responses to seven standardized climate change scenarios produced by two climate and five crop models. These responses include adjustments in yields, area, consumption, and international trade. We apply biophysical shocks derived from the Intergovernmental Panel on Climate Change’s representative concentration pathway with end-of-century radiative forcing of 8.5 W/m2. The mean biophysical yield effect with no incremental CO2 fertilization is a 17% reduction globally by 2050 relative to a scenario with unchanging climate. Endogenous economic responses reduce yield loss to 11%, increase area of major crops by 11%, and reduce consumption by 3%. Agricultural production, cropland area, trade, and prices show the greatest degree of variability in response to climate change, and consumption the lowest. The sources of these differences include model structure and specification; in particular, model assumptions about ease of land use conversion, intensification, and trade. This study identifies where models disagree on the relative responses to climate shocks and highlights research activities needed to improve the representation of agricultural adaptation responses to climate change.
format Journal Article
id CGSpace52118
institution CGIAR Consortium
language Inglés
publishDate 2014
publishDateRange 2014
publishDateSort 2014
publisher National Academy of Sciences
publisherStr National Academy of Sciences
record_format dspace
spelling CGSpace521182025-05-01T21:01:51Z Climate change effects on agriculture: economic responses to biophysical shocks Nelson, Gerald C. Valin, Hugo Sands, Ronald D. Havlík, Petr Ahammad, H. Deryng, Delphine Elliott J Fujimori, Shinichiro Hasegawa, Tomoko Heyhoe, Edwina Kyle, Page Lampe M. von Lotze-Campen, Hermann Mason-D'Croz, Daniel Meijl, Hans van Mensbrugghe, Dominique van der Müller, Christoph Popp, Alexander Robertson, Richard D. Robinson, Sherman Schmid, Erwin Schmitz, Christoph Tabeau, Andrzej Willenbockel, Dirk resource management technological changes economic development commodities agriculture assessment agricultural productivity prices commodity markets resilience climate change models economic analysis shock climate malnutrition nutrition trade food supply plant models protected areas environmental modelling agricultural development climate change adaptation food security Agricultural production is sensitive to weather and thus directly affected by climate change. Plausible estimates of these climate change impacts require combined use of climate, crop, and economic models. Results from previous studies vary substantially due to differences in models, scenarios, and data. This paper is part of a collective effort to systematically integrate these three types of models. We focus on the economic component of the assessment, investigating how nine global economic models of agriculture represent endogenous responses to seven standardized climate change scenarios produced by two climate and five crop models. These responses include adjustments in yields, area, consumption, and international trade. We apply biophysical shocks derived from the Intergovernmental Panel on Climate Change’s representative concentration pathway with end-of-century radiative forcing of 8.5 W/m2. The mean biophysical yield effect with no incremental CO2 fertilization is a 17% reduction globally by 2050 relative to a scenario with unchanging climate. Endogenous economic responses reduce yield loss to 11%, increase area of major crops by 11%, and reduce consumption by 3%. Agricultural production, cropland area, trade, and prices show the greatest degree of variability in response to climate change, and consumption the lowest. The sources of these differences include model structure and specification; in particular, model assumptions about ease of land use conversion, intensification, and trade. This study identifies where models disagree on the relative responses to climate shocks and highlights research activities needed to improve the representation of agricultural adaptation responses to climate change. 2014-03-04 2014-12-16T06:37:34Z 2014-12-16T06:37:34Z Journal Article https://hdl.handle.net/10568/52118 en https://hdl.handle.net/10568/154049 https://hdl.handle.net/10568/154027 Open Access National Academy of Sciences Nelson GC, Valin H, Sands RD, Havlík P, Ahammad H, Deryng D, Elliott J, Fujimori S, Hasegawa T, Heyhoe E, Kyle P, Von Lampe M, Lotze-Campen H, Mason-d’Croz D, van Meijl H, van der Mensbrugghe D, Müller C, Popp A, Robertson RD, Robinson S, Schmid E, Schmitz C, Tabeau A, Willenbockel D. 2013. Climate change effects on agriculture: economic responses to biophysical shocks. Proceedings of the National Academy of Sciences of the United States of America (PNAS) 111(9):3274-3279
spellingShingle resource management
technological changes
economic development
commodities
agriculture
assessment
agricultural productivity
prices
commodity markets
resilience
climate change
models
economic analysis
shock
climate
malnutrition
nutrition
trade
food supply
plant models
protected areas
environmental modelling
agricultural development
climate change adaptation
food security
Nelson, Gerald C.
Valin, Hugo
Sands, Ronald D.
Havlík, Petr
Ahammad, H.
Deryng, Delphine
Elliott J
Fujimori, Shinichiro
Hasegawa, Tomoko
Heyhoe, Edwina
Kyle, Page
Lampe M. von
Lotze-Campen, Hermann
Mason-D'Croz, Daniel
Meijl, Hans van
Mensbrugghe, Dominique van der
Müller, Christoph
Popp, Alexander
Robertson, Richard D.
Robinson, Sherman
Schmid, Erwin
Schmitz, Christoph
Tabeau, Andrzej
Willenbockel, Dirk
Climate change effects on agriculture: economic responses to biophysical shocks
title Climate change effects on agriculture: economic responses to biophysical shocks
title_full Climate change effects on agriculture: economic responses to biophysical shocks
title_fullStr Climate change effects on agriculture: economic responses to biophysical shocks
title_full_unstemmed Climate change effects on agriculture: economic responses to biophysical shocks
title_short Climate change effects on agriculture: economic responses to biophysical shocks
title_sort climate change effects on agriculture economic responses to biophysical shocks
topic resource management
technological changes
economic development
commodities
agriculture
assessment
agricultural productivity
prices
commodity markets
resilience
climate change
models
economic analysis
shock
climate
malnutrition
nutrition
trade
food supply
plant models
protected areas
environmental modelling
agricultural development
climate change adaptation
food security
url https://hdl.handle.net/10568/52118
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