Evaluating the effects of climate change on US agricultural systems: sensitivity to regional impact and trade expansion scenarios
Agriculture is one of the sectors that is expected to be most significantly impacted by climate change. There has been considerable interest in assessing these impacts and many recent studies investigating agricultural impacts for individual countries and regions using an array of models. However, t...
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Published in | Environmental research letters Vol. 13; no. 6; pp. 64019 - 64028 |
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Main Authors | , , , , , , , , , |
Format | Journal Article |
Language | English |
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England
IOP Publishing
01.01.2018
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Abstract | Agriculture is one of the sectors that is expected to be most significantly impacted by climate change. There has been considerable interest in assessing these impacts and many recent studies investigating agricultural impacts for individual countries and regions using an array of models. However, the great majority of existing studies explore impacts on a country or region of interest without explicitly accounting for impacts on the rest of the world. This approach can bias the results of impact assessments for agriculture given the importance of global trade in this sector. Due to potential impacts on relative competitiveness, international trade, global supply, and prices, the net impacts of climate change on the agricultural sector in each region depend not only on productivity impacts within that region, but on how climate change impacts agricultural productivity throughout the world. In this study, we apply a global model of agriculture and forestry to evaluate climate change impacts on US agriculture with and without accounting for climate change impacts in the rest of the world. In addition, we examine scenarios where trade is expanded to explore the implications for regional allocation of production, trade volumes, and prices. To our knowledge, this is one of the only attempts to explicitly quantify the relative importance of accounting for global climate change when conducting regional assessments of climate change impacts. The results of our analyses reveal substantial differences in estimated impacts on the US agricultural sector when accounting for global impacts vs. US-only impacts, particularly for commodities where the United States has a smaller share of global production. In addition, we find that freer trade can play an important role in helping to buffer regional productivity shocks. |
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AbstractList | Agriculture is one of the sectors that is expected to be most significantly impacted by climate change. There has been considerable interest in assessing these impacts and many recent studies investigating agricultural impacts for individual countries and regions using an array of models. However, the great majority of existing studies explore impacts on a country or region of interest without explicitly accounting for impacts on the rest of the world. This approach can bias the results of impact assessments for agriculture given the importance of global trade in this sector. Due to potential impacts on relative competitiveness, international trade, global supply, and prices, the net impacts of climate change on the agricultural sector in each region depend not only on productivity impacts within that region, but on how climate change impacts agricultural productivity throughout the world. In this study, we apply a global model of agriculture and forestry to evaluate climate change impacts on US agriculture with and without accounting for climate change impacts in the rest of the world. In addition, we examine scenarios where trade is expanded to explore the implications for regional allocation of production, trade volumes, and prices. To our knowledge, this is one of the only attempts to explicitly quantify the relative importance of accounting for global climate change when conducting regional assessments of climate change impacts. The results of our analyses reveal substantial differences in estimated impacts on the US agricultural sector when accounting for global impacts vs. US-only impacts, particularly for commodities where the United States has a smaller share of global production. In addition, we find that freer trade can play an important role in helping to buffer regional productivity shocks. Agriculture is one of the sectors that is expected to be most significantly impacted by climate change. There has been considerable interest in assessing these impacts and many recent studies investigating agricultural impacts for individual countries and regions using an array of models. However, the great majority of existing studies explore impacts on a country or region of interest without explicitly accounting for impacts on the rest of the world. This approach can bias the results of impact assessments for agriculture given the importance of global trade in this sector. Due to potential impacts on relative competitiveness, international trade, global supply, and prices, the net impacts of climate change on the agricultural sector in each region depend not only on productivity impacts within that region, but on how climate change impacts agricultural productivity throughout the world. In this study, we apply a global model of agriculture and forestry to evaluate climate change impacts on US agriculture with and without accounting for climate change impacts in the rest of the world. In addition, we examine scenarios where trade is expanded to explore the implications for regional allocation of production, trade volumes, and prices. To our knowledge, this is one of the only attempts to explicitly quantify the relative importance of accounting for global climate change when conducting regional assessments of climate change impacts. The results of our analyses reveal substantial differences in estimated impacts on the US agricultural sector when accounting for global impacts vs. US-only impacts, particularly for commodities where the United States has a smaller share of global production. In addition, we find that freer trade can play an important role in helping to buffer regional productivity shocks.Agriculture is one of the sectors that is expected to be most significantly impacted by climate change. There has been considerable interest in assessing these impacts and many recent studies investigating agricultural impacts for individual countries and regions using an array of models. However, the great majority of existing studies explore impacts on a country or region of interest without explicitly accounting for impacts on the rest of the world. This approach can bias the results of impact assessments for agriculture given the importance of global trade in this sector. Due to potential impacts on relative competitiveness, international trade, global supply, and prices, the net impacts of climate change on the agricultural sector in each region depend not only on productivity impacts within that region, but on how climate change impacts agricultural productivity throughout the world. In this study, we apply a global model of agriculture and forestry to evaluate climate change impacts on US agriculture with and without accounting for climate change impacts in the rest of the world. In addition, we examine scenarios where trade is expanded to explore the implications for regional allocation of production, trade volumes, and prices. To our knowledge, this is one of the only attempts to explicitly quantify the relative importance of accounting for global climate change when conducting regional assessments of climate change impacts. The results of our analyses reveal substantial differences in estimated impacts on the US agricultural sector when accounting for global impacts vs. US-only impacts, particularly for commodities where the United States has a smaller share of global production. In addition, we find that freer trade can play an important role in helping to buffer regional productivity shocks. |
Author | Havlík, Petr Creason, Jared Beach, Robert Valin, Hugo Leclère, David Ohrel, Sara Schmid, Erwin Baker, Justin S McFarland, James Cole, Jefferson |
AuthorAffiliation | 1 RTI International, 3040 East Cornwallis Road, Durham, NC 27709-2194, United States of America 3 Deptartment of Economics and Social Sciences, University of Natural Resources and Life Sciences. Feistmantelstrasse 4, 1180 Vienna, Austria 4 United States Environmental Protection Agency, 1200 Pennsylvania Avenue N.W., Washington, DC, 20460, United States of America 2 International Institute for Applied Systems Analysis. Schlossplatz 1. A-2361 Laxenburg, Austria |
AuthorAffiliation_xml | – name: 4 United States Environmental Protection Agency, 1200 Pennsylvania Avenue N.W., Washington, DC, 20460, United States of America – name: 3 Deptartment of Economics and Social Sciences, University of Natural Resources and Life Sciences. Feistmantelstrasse 4, 1180 Vienna, Austria – name: 1 RTI International, 3040 East Cornwallis Road, Durham, NC 27709-2194, United States of America – name: 2 International Institute for Applied Systems Analysis. Schlossplatz 1. A-2361 Laxenburg, Austria |
Author_xml | – sequence: 1 givenname: Justin S orcidid: 0000-0002-9914-8421 surname: Baker fullname: Baker, Justin S email: justinbaker@rti.org organization: Author to whom any correspondence should be addressed – sequence: 2 givenname: Petr surname: Havlík fullname: Havlík, Petr organization: International Institute for Applied Systems Analysis. Schlossplatz 1. A-2361 Laxenburg, Austria – sequence: 3 givenname: Robert orcidid: 0000-0001-8549-8546 surname: Beach fullname: Beach, Robert organization: International Institute for Applied Systems Analysis. Schlossplatz 1. A-2361 Laxenburg, Austria – sequence: 4 givenname: David orcidid: 0000-0002-8658-1509 surname: Leclère fullname: Leclère, David organization: International Institute for Applied Systems Analysis. Schlossplatz 1. A-2361 Laxenburg, Austria – sequence: 5 givenname: Erwin surname: Schmid fullname: Schmid, Erwin organization: Deptartment of Economics and Social Sciences University of Natural Resources and Life Sciences. Feistmantelstrasse 4 , 1180 Vienna, Austria – sequence: 6 givenname: Hugo surname: Valin fullname: Valin, Hugo organization: International Institute for Applied Systems Analysis. Schlossplatz 1. A-2361 Laxenburg, Austria – sequence: 7 givenname: Jefferson surname: Cole fullname: Cole, Jefferson organization: United States Environmental Protection Agency, 1200 Pennsylvania Avenue N.W. , Washington, DC, 20460, United States of America – sequence: 8 givenname: Jared surname: Creason fullname: Creason, Jared organization: United States Environmental Protection Agency, 1200 Pennsylvania Avenue N.W. , Washington, DC, 20460, United States of America – sequence: 9 givenname: Sara surname: Ohrel fullname: Ohrel, Sara organization: United States Environmental Protection Agency, 1200 Pennsylvania Avenue N.W. , Washington, DC, 20460, United States of America – sequence: 10 givenname: James surname: McFarland fullname: McFarland, James organization: United States Environmental Protection Agency, 1200 Pennsylvania Avenue N.W. , Washington, DC, 20460, United States of America |
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Cites_doi | 10.1073/pnas.1308149110 10.5194/gmd-6-687-2013 10.1175/jcli-d-11-00560.1 10.5194/gmd-4-723-2011 10.5194/gmd-4-1051-2011 10.1086/684719 10.1088/1748-9326/8/3/035019 10.2307/1239475 10.1016/j.enpol.2010.03.030 10.1186/s13021-016-0068-3 10.1088/1748-9326/10/8/085010 10.1016/s2095-3119(13)60699-1 10.1007/s00382-012-1636-1 10.1073/pnas.1308044111 10.1073/pnas.1222465110 10.1088/1748-9326/9/12/124018 10.1088/1748-9326/10/9/095004 10.5194/gmd-4-845-2011 10.1007/s10584-011-0148-z |
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References | 11 Valin H (18) 2013; 8 23 13 14 15 19 Williams J R ed Singh V P (22) 1995 US Department of Agriculture-Office of the Chief Economist (17) 2013 2 3 Food (7) 2016 4 5 6 8 9 Beach R H (1) 2015; 10 Takayama T (16) 1971 Leclère D (12) 2014; 9 20 Wiebe K (21) 2015; 10 10 |
References_xml | – start-page: 909 year: 1995 ident: 22 publication-title: Computer Models of Watershed Hydrology – ident: 11 doi: 10.1073/pnas.1308149110 – year: 2013 ident: 17 publication-title: USDA Technical Bulletin 1935 – year: 1971 ident: 16 publication-title: Spatial and Temporal Price and Allocation Models – ident: 2 doi: 10.5194/gmd-6-687-2013 – ident: 6 doi: 10.1175/jcli-d-11-00560.1 – ident: 13 doi: 10.5194/gmd-4-723-2011 – ident: 3 doi: 10.5194/gmd-4-1051-2011 – ident: 4 doi: 10.1086/684719 – volume: 8 issn: 1748-9326 year: 2013 ident: 18 publication-title: Environ. Res. Lett. doi: 10.1088/1748-9326/8/3/035019 – ident: 14 doi: 10.2307/1239475 – ident: 9 doi: 10.1016/j.enpol.2010.03.030 – ident: 8 doi: 10.1186/s13021-016-0068-3 – volume: 10 issn: 1748-9326 year: 2015 ident: 21 publication-title: Environ. Res. Lett. doi: 10.1088/1748-9326/10/8/085010 – ident: 23 doi: 10.1016/s2095-3119(13)60699-1 – ident: 5 doi: 10.1007/s00382-012-1636-1 – ident: 10 doi: 10.1073/pnas.1308044111 – ident: 15 doi: 10.1073/pnas.1222465110 – volume: 9 start-page: 1748 issn: 1748-9326 year: 2014 ident: 12 publication-title: Environ. Res. Lett. doi: 10.1088/1748-9326/9/12/124018 – volume: 10 issn: 1748-9326 year: 2015 ident: 1 publication-title: Environ. Res. Lett. doi: 10.1088/1748-9326/10/9/095004 – ident: 20 doi: 10.5194/gmd-4-845-2011 – year: 2016 ident: 7 publication-title: FAOSTAT Database – ident: 19 doi: 10.1007/s10584-011-0148-z |
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Snippet | Agriculture is one of the sectors that is expected to be most significantly impacted by climate change. There has been considerable interest in assessing these... |
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StartPage | 64019 |
SubjectTerms | Agricultural industry Agricultural production Agriculture Assessments Climate change Climate effects Competitiveness Environmental assessment Environmental impact Evaluation Farming systems Global climate impacts International trade Productivity Regional analysis |
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Title | Evaluating the effects of climate change on US agricultural systems: sensitivity to regional impact and trade expansion scenarios |
URI | https://iopscience.iop.org/article/10.1088/1748-9326/aac1c2 https://www.ncbi.nlm.nih.gov/pubmed/32153649 https://www.proquest.com/docview/2548969174 https://www.proquest.com/docview/2375863958 https://pubmed.ncbi.nlm.nih.gov/PMC7061454 https://doaj.org/article/6d655a473e56460fa69c98ee34e093c7 |
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