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The Water Implications of Greenhouse Gas Mitigation: Effects on Land Use, Land Use Change, and Forestry
This study addresses the water quantity and quality implications of greenhouse gas mitigation efforts in agriculture and forestry. This is done both through a literature review and a case study. The case study is set in the Missouri River Basin (MRB) and involves integration of a water hydrology mod...
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Published in: | Sustainability 2018-07, Vol.10 (7), p.2367 |
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description | This study addresses the water quantity and quality implications of greenhouse gas mitigation efforts in agriculture and forestry. This is done both through a literature review and a case study. The case study is set in the Missouri River Basin (MRB) and involves integration of a water hydrology model and a land use model with an econometric model estimated to make the link. The hydrology model (Soil and Water Assessment Tool, SWAT) is used to generate a multiyear, multilocation dataset that gives estimated water quantity and quality measures dependent on land use. In turn, those data are used in estimating a quantile regression model linking water quantity and quality with climate and land use. Additionally, a land use model (Forest and Agricultural Sector Optimization Model with Greenhouse Gases, FASOMGHG) is used to simulate the extent of mitigation strategy adoption and land use implications under alternative carbon prices. Then, the land use results and climate change forecasts are input to the econometric model and water quantity/quality projections developed. The econometric results show that land use patterns have significant influences on water quantity. Specifically, an increase in grassland significantly decreases water quantity, with forestry having mixed effects. At relatively high quantiles, land use changes from cropped land to grassland reduce water yield, while switching from cropping or grassland to forest yields more water. It also shows that an increase in cropped land use significantly degrades water quality at the 50% quantile and moving from cropped land to either forest or pasture slightly improves water quality at the 50% quantile but significantly worsens water quality at the 90% quantile. In turn, a simulation exercise shows that water quantity slightly increases under mitigation activity stimulated by lower carbon prices but significantly decreases under higher carbon prices. For water quality, when carbon prices are low, water quality is degraded under most mitigation alternatives but quality improves under higher carbon prices. |
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This is done both through a literature review and a case study. The case study is set in the Missouri River Basin (MRB) and involves integration of a water hydrology model and a land use model with an econometric model estimated to make the link. The hydrology model (Soil and Water Assessment Tool, SWAT) is used to generate a multiyear, multilocation dataset that gives estimated water quantity and quality measures dependent on land use. In turn, those data are used in estimating a quantile regression model linking water quantity and quality with climate and land use. Additionally, a land use model (Forest and Agricultural Sector Optimization Model with Greenhouse Gases, FASOMGHG) is used to simulate the extent of mitigation strategy adoption and land use implications under alternative carbon prices. Then, the land use results and climate change forecasts are input to the econometric model and water quantity/quality projections developed. The econometric results show that land use patterns have significant influences on water quantity. Specifically, an increase in grassland significantly decreases water quantity, with forestry having mixed effects. At relatively high quantiles, land use changes from cropped land to grassland reduce water yield, while switching from cropping or grassland to forest yields more water. It also shows that an increase in cropped land use significantly degrades water quality at the 50% quantile and moving from cropped land to either forest or pasture slightly improves water quality at the 50% quantile but significantly worsens water quality at the 90% quantile. In turn, a simulation exercise shows that water quantity slightly increases under mitigation activity stimulated by lower carbon prices but significantly decreases under higher carbon prices. For water quality, when carbon prices are low, water quality is degraded under most mitigation alternatives but quality improves under higher carbon prices.</description><identifier>ISSN: 2071-1050</identifier><identifier>EISSN: 2071-1050</identifier><identifier>DOI: 10.3390/su10072367</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Carbon ; Case studies ; Climate change ; Computer simulation ; Econometrics ; Forestry ; Forests ; Grasslands ; Greenhouse effect ; Greenhouse gases ; Hydrologic models ; Hydrology ; Land use ; Literature reviews ; Mitigation ; Optimization ; Pasture ; River basins ; Rivers ; Soil water ; Sustainability ; Water quality ; Water supply ; Water yield</subject><ispartof>Sustainability, 2018-07, Vol.10 (7), p.2367</ispartof><rights>2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). 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This is done both through a literature review and a case study. The case study is set in the Missouri River Basin (MRB) and involves integration of a water hydrology model and a land use model with an econometric model estimated to make the link. The hydrology model (Soil and Water Assessment Tool, SWAT) is used to generate a multiyear, multilocation dataset that gives estimated water quantity and quality measures dependent on land use. In turn, those data are used in estimating a quantile regression model linking water quantity and quality with climate and land use. Additionally, a land use model (Forest and Agricultural Sector Optimization Model with Greenhouse Gases, FASOMGHG) is used to simulate the extent of mitigation strategy adoption and land use implications under alternative carbon prices. Then, the land use results and climate change forecasts are input to the econometric model and water quantity/quality projections developed. The econometric results show that land use patterns have significant influences on water quantity. Specifically, an increase in grassland significantly decreases water quantity, with forestry having mixed effects. At relatively high quantiles, land use changes from cropped land to grassland reduce water yield, while switching from cropping or grassland to forest yields more water. It also shows that an increase in cropped land use significantly degrades water quality at the 50% quantile and moving from cropped land to either forest or pasture slightly improves water quality at the 50% quantile but significantly worsens water quality at the 90% quantile. In turn, a simulation exercise shows that water quantity slightly increases under mitigation activity stimulated by lower carbon prices but significantly decreases under higher carbon prices. For water quality, when carbon prices are low, water quality is degraded under most mitigation alternatives but quality improves under higher carbon prices.</description><subject>Carbon</subject><subject>Case studies</subject><subject>Climate change</subject><subject>Computer simulation</subject><subject>Econometrics</subject><subject>Forestry</subject><subject>Forests</subject><subject>Grasslands</subject><subject>Greenhouse effect</subject><subject>Greenhouse gases</subject><subject>Hydrologic models</subject><subject>Hydrology</subject><subject>Land use</subject><subject>Literature reviews</subject><subject>Mitigation</subject><subject>Optimization</subject><subject>Pasture</subject><subject>River basins</subject><subject>Rivers</subject><subject>Soil water</subject><subject>Sustainability</subject><subject>Water quality</subject><subject>Water supply</subject><subject>Water yield</subject><issn>2071-1050</issn><issn>2071-1050</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><recordid>eNpNUE1PAjEQbYwmEuTiL2jizbjaz-3WmyGwkmC8QDxuSncKS2CL7e6Bf28Ro85l3sx7mZd5CN1S8si5Jk-xp4QoxnN1gQaMKJpRIsnlP3yNRjFuSSrOqab5AK0XG8AfpoOAZ_vDrrGma3wbsXe4DADtxvcRcGkifmu6Zv3NPuOJc2C7pGrx3LQ1XkZ4-EV4vDHtOi1O89QHiF043qArZ3YRRj99iJbTyWL8ms3fy9n4ZZ5ZpmWX8ZywQtZCSiectJYD1cIqkwtCuanpStqVAy1ErTnPC6ZVrZxIRPpcGAV8iO7Odw_Bf_bJutr6PrTJsmKUFEXOCs6S6v6sssHHGMBVh9DsTThWlFSnLKu_LPkXGZFkgA</recordid><startdate>20180707</startdate><enddate>20180707</enddate><creator>Yu, Chin-Hsien</creator><creator>McCarl, Bruce</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>4U-</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><orcidid>https://orcid.org/0000-0002-8805-2248</orcidid></search><sort><creationdate>20180707</creationdate><title>The Water Implications of Greenhouse Gas Mitigation: Effects on Land Use, Land Use Change, and Forestry</title><author>Yu, Chin-Hsien ; McCarl, Bruce</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c295t-360285d455f4f5cc3e194c7a64013ad1b5cbfe944d93368297d7f4ad11004a7e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Carbon</topic><topic>Case studies</topic><topic>Climate change</topic><topic>Computer simulation</topic><topic>Econometrics</topic><topic>Forestry</topic><topic>Forests</topic><topic>Grasslands</topic><topic>Greenhouse effect</topic><topic>Greenhouse gases</topic><topic>Hydrologic models</topic><topic>Hydrology</topic><topic>Land use</topic><topic>Literature reviews</topic><topic>Mitigation</topic><topic>Optimization</topic><topic>Pasture</topic><topic>River basins</topic><topic>Rivers</topic><topic>Soil water</topic><topic>Sustainability</topic><topic>Water quality</topic><topic>Water supply</topic><topic>Water yield</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yu, Chin-Hsien</creatorcontrib><creatorcontrib>McCarl, Bruce</creatorcontrib><collection>CrossRef</collection><collection>University Readers</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Publicly Available Content (ProQuest)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><jtitle>Sustainability</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yu, Chin-Hsien</au><au>McCarl, Bruce</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The Water Implications of Greenhouse Gas Mitigation: Effects on Land Use, Land Use Change, and Forestry</atitle><jtitle>Sustainability</jtitle><date>2018-07-07</date><risdate>2018</risdate><volume>10</volume><issue>7</issue><spage>2367</spage><pages>2367-</pages><issn>2071-1050</issn><eissn>2071-1050</eissn><abstract>This study addresses the water quantity and quality implications of greenhouse gas mitigation efforts in agriculture and forestry. 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The econometric results show that land use patterns have significant influences on water quantity. Specifically, an increase in grassland significantly decreases water quantity, with forestry having mixed effects. At relatively high quantiles, land use changes from cropped land to grassland reduce water yield, while switching from cropping or grassland to forest yields more water. It also shows that an increase in cropped land use significantly degrades water quality at the 50% quantile and moving from cropped land to either forest or pasture slightly improves water quality at the 50% quantile but significantly worsens water quality at the 90% quantile. In turn, a simulation exercise shows that water quantity slightly increases under mitigation activity stimulated by lower carbon prices but significantly decreases under higher carbon prices. 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subjects | Carbon Case studies Climate change Computer simulation Econometrics Forestry Forests Grasslands Greenhouse effect Greenhouse gases Hydrologic models Hydrology Land use Literature reviews Mitigation Optimization Pasture River basins Rivers Soil water Sustainability Water quality Water supply Water yield |
title | The Water Implications of Greenhouse Gas Mitigation: Effects on Land Use, Land Use Change, and Forestry |
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