Integrated assessment modeling of climate change adaptation in forestry and pasture land use: A review
Climate change is likely to affect commercial forest and pasture land use and production activities. As such, behavioral responses that adapt to the new and evolving climatic conditions are also likely. Integrated Assessment Models (IAMs) have an important role to play. IAMs are a unique class of mo...
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description | Climate change is likely to affect commercial forest and pasture land use and production activities. As such, behavioral responses that adapt to the new and evolving climatic conditions are also likely. Integrated Assessment Models (IAMs) have an important role to play. IAMs are a unique class of models that integrate global biophysical and economic systems in order to explore issues with potentially significant interactions and feedbacks between the two systems, such as potential future impacts from climate change. Climate risks to forestry, pasture, and livestock are potential risks that need to be understood and weighed. Those risks are defined by both the nature of climate change as well as society's adaptive capacity. This paper reviews and characterizes climate change adaptation modeling of forestry and pasture land use by IAMs, as well as economic modeling. The paper discusses what needs to be modeled or considered, what we have learned from the literature available, and issues and opportunities for future research. The literature is sparse, and in an early stage, but has already yielded insights regarding adaptation's potential for reducing risks, and possibly generating societal benefits. Empirical modeling will be important going forward to identify adaptation options and provide an observation based grounding for IAM modeling. Relevant empirical modeling to date is limited but highlights that there are many potential facets to adaptation related to these sectors that need to be considered by IAMs in some form. Data deficiencies will also need to be overcome and IAM model development advanced. This paper is part of a research initiative, and special issue of this journal, to improve adaptation modeling in climate impacts research. |
doi_str_mv | 10.1016/j.eneco.2014.09.018 |
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As such, behavioral responses that adapt to the new and evolving climatic conditions are also likely. Integrated Assessment Models (IAMs) have an important role to play. IAMs are a unique class of models that integrate global biophysical and economic systems in order to explore issues with potentially significant interactions and feedbacks between the two systems, such as potential future impacts from climate change. Climate risks to forestry, pasture, and livestock are potential risks that need to be understood and weighed. Those risks are defined by both the nature of climate change as well as society's adaptive capacity. This paper reviews and characterizes climate change adaptation modeling of forestry and pasture land use by IAMs, as well as economic modeling. The paper discusses what needs to be modeled or considered, what we have learned from the literature available, and issues and opportunities for future research. The literature is sparse, and in an early stage, but has already yielded insights regarding adaptation's potential for reducing risks, and possibly generating societal benefits. Empirical modeling will be important going forward to identify adaptation options and provide an observation based grounding for IAM modeling. Relevant empirical modeling to date is limited but highlights that there are many potential facets to adaptation related to these sectors that need to be considered by IAMs in some form. Data deficiencies will also need to be overcome and IAM model development advanced. This paper is part of a research initiative, and special issue of this journal, to improve adaptation modeling in climate impacts research.</description><identifier>ISSN: 0140-9883</identifier><identifier>EISSN: 1873-6181</identifier><identifier>DOI: 10.1016/j.eneco.2014.09.018</identifier><identifier>CODEN: EECODR</identifier><language>eng</language><publisher>Kidlington: Elsevier B.V</publisher><subject>Adaptability ; Adaptation ; Adaptation to change ; Assessments ; Benefits ; Climate ; Climate change ; Economic models ; Economics ; Energy economics ; Forestry ; Global warming ; Land use ; Land utilization ; Literature ; Livestock ; Modelling ; Pasture ; Periodicals ; Production ; Risk ; Studies</subject><ispartof>Energy economics, 2014-11, Vol.46, p.548-554</ispartof><rights>2014 Elsevier B.V.</rights><rights>Copyright Elsevier Science Ltd. 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As such, behavioral responses that adapt to the new and evolving climatic conditions are also likely. Integrated Assessment Models (IAMs) have an important role to play. IAMs are a unique class of models that integrate global biophysical and economic systems in order to explore issues with potentially significant interactions and feedbacks between the two systems, such as potential future impacts from climate change. Climate risks to forestry, pasture, and livestock are potential risks that need to be understood and weighed. Those risks are defined by both the nature of climate change as well as society's adaptive capacity. This paper reviews and characterizes climate change adaptation modeling of forestry and pasture land use by IAMs, as well as economic modeling. The paper discusses what needs to be modeled or considered, what we have learned from the literature available, and issues and opportunities for future research. The literature is sparse, and in an early stage, but has already yielded insights regarding adaptation's potential for reducing risks, and possibly generating societal benefits. Empirical modeling will be important going forward to identify adaptation options and provide an observation based grounding for IAM modeling. Relevant empirical modeling to date is limited but highlights that there are many potential facets to adaptation related to these sectors that need to be considered by IAMs in some form. Data deficiencies will also need to be overcome and IAM model development advanced. This paper is part of a research initiative, and special issue of this journal, to improve adaptation modeling in climate impacts research.</description><subject>Adaptability</subject><subject>Adaptation</subject><subject>Adaptation to change</subject><subject>Assessments</subject><subject>Benefits</subject><subject>Climate</subject><subject>Climate change</subject><subject>Economic models</subject><subject>Economics</subject><subject>Energy economics</subject><subject>Forestry</subject><subject>Global warming</subject><subject>Land use</subject><subject>Land utilization</subject><subject>Literature</subject><subject>Livestock</subject><subject>Modelling</subject><subject>Pasture</subject><subject>Periodicals</subject><subject>Production</subject><subject>Risk</subject><subject>Studies</subject><issn>0140-9883</issn><issn>1873-6181</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>7TQ</sourceid><recordid>eNqNkTtrHDEURkVIIBvHv8CNIE2aGesxo4chhTHxAwxp3AutdGejZVZaS5oE__tos65c2K6EuOe7XL6D0BklPSVUnG97iOBSzwgdeqJ7QtUHtKJK8k5QRT-iVRuQTivFP6MvpWwJIaMY1QpNd7HCJtsKHttSoJQdxIp3ycMc4ganCbs57Nocu982bgBbb_fV1pAiDhFPKUOp-Qnb6PHelrpkwPPhsxS4wJc4w58Af7-iT5OdC5w-vyfo4frnw9Vtd__r5u7q8r5zI5O1U4IySzhfD5oy5vnkvSTSS7_W1Ntp4lb7Uai1kxKs0-AslYSB9wN4Stb8BH0_rt3n9Li0w8wuFAdzOwjSUgyVg1KjHrR4GxXjIMQouHoPSrlScnzP1kERydhwQL-9QLdpybG10yimuZKa0EbxI-VyKiXDZPa56chPhhJzcG-25r97c3BviDbNfUv9OKagdd36z6a4ANGBDxlcNT6FV_P_ADcfuFw</recordid><startdate>20141101</startdate><enddate>20141101</enddate><creator>Rose, Steven K.</creator><general>Elsevier B.V</general><general>Elsevier Science Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7ST</scope><scope>7TA</scope><scope>7TQ</scope><scope>8BJ</scope><scope>8FD</scope><scope>C1K</scope><scope>DHY</scope><scope>DON</scope><scope>FQK</scope><scope>JBE</scope><scope>JG9</scope><scope>SOI</scope><scope>FR3</scope><scope>KR7</scope><scope>7U1</scope><scope>7U2</scope><scope>7U6</scope></search><sort><creationdate>20141101</creationdate><title>Integrated assessment modeling of climate change adaptation in forestry and pasture land use: A review</title><author>Rose, Steven K.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c527t-8612a033b49122d3fdd707d7db91daff3a9d568bc77eac9eca1702edd4ed10b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Adaptability</topic><topic>Adaptation</topic><topic>Adaptation to change</topic><topic>Assessments</topic><topic>Benefits</topic><topic>Climate</topic><topic>Climate change</topic><topic>Economic models</topic><topic>Economics</topic><topic>Energy economics</topic><topic>Forestry</topic><topic>Global warming</topic><topic>Land use</topic><topic>Land utilization</topic><topic>Literature</topic><topic>Livestock</topic><topic>Modelling</topic><topic>Pasture</topic><topic>Periodicals</topic><topic>Production</topic><topic>Risk</topic><topic>Studies</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Rose, Steven K.</creatorcontrib><collection>CrossRef</collection><collection>Environment Abstracts</collection><collection>Materials Business File</collection><collection>PAIS Index</collection><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>PAIS International</collection><collection>PAIS International (Ovid)</collection><collection>International Bibliography of the Social Sciences</collection><collection>International Bibliography of the Social Sciences</collection><collection>Materials Research Database</collection><collection>Environment Abstracts</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><collection>Risk Abstracts</collection><collection>Safety Science and Risk</collection><collection>Sustainability Science Abstracts</collection><jtitle>Energy economics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Rose, Steven K.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Integrated assessment modeling of climate change adaptation in forestry and pasture land use: A review</atitle><jtitle>Energy economics</jtitle><date>2014-11-01</date><risdate>2014</risdate><volume>46</volume><spage>548</spage><epage>554</epage><pages>548-554</pages><issn>0140-9883</issn><eissn>1873-6181</eissn><coden>EECODR</coden><abstract>Climate change is likely to affect commercial forest and pasture land use and production activities. 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The literature is sparse, and in an early stage, but has already yielded insights regarding adaptation's potential for reducing risks, and possibly generating societal benefits. Empirical modeling will be important going forward to identify adaptation options and provide an observation based grounding for IAM modeling. Relevant empirical modeling to date is limited but highlights that there are many potential facets to adaptation related to these sectors that need to be considered by IAMs in some form. Data deficiencies will also need to be overcome and IAM model development advanced. This paper is part of a research initiative, and special issue of this journal, to improve adaptation modeling in climate impacts research.</abstract><cop>Kidlington</cop><pub>Elsevier B.V</pub><doi>10.1016/j.eneco.2014.09.018</doi><tpages>7</tpages></addata></record> |
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source | PAIS Index; Elsevier ScienceDirect Journals |
subjects | Adaptability Adaptation Adaptation to change Assessments Benefits Climate Climate change Economic models Economics Energy economics Forestry Global warming Land use Land utilization Literature Livestock Modelling Pasture Periodicals Production Risk Studies |
title | Integrated assessment modeling of climate change adaptation in forestry and pasture land use: A review |
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