Quantifying Human‐Mediated Carbon Cycle Feedbacks
Changes in land and ocean carbon storage in response to elevated atmospheric carbon dioxide concentrations and associated climate change, known as the concentration‐carbon and climate‐carbon feedbacks, are principal controls on the response of the climate system to anthropogenic greenhouse gas emiss...
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Veröffentlicht in: | Geophysical research letters 2018-10, Vol.45 (20), p.11,370-11,379 |
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creator | Jones, Andrew D. Calvin, Katherine V. Shi, Xiaoying Di Vittorio, Alan V. Bond‐Lamberty, Ben Thornton, Peter E. Collins, William D. |
description | Changes in land and ocean carbon storage in response to elevated atmospheric carbon dioxide concentrations and associated climate change, known as the concentration‐carbon and climate‐carbon feedbacks, are principal controls on the response of the climate system to anthropogenic greenhouse gas emissions. Such feedbacks have typically been quantified in the context of natural ecosystems, but land management activities are also responsive to future atmospheric carbon and climate changes. Here we show that inclusion of such human‐driven responses within an Earth system model shifts both the terrestrial concentration‐carbon and climate‐carbon feedbacks toward increased carbon storage. We introduce a conceptual framework for decomposing these changes into separate concentration‐land cover, climate‐land cover, and land cover‐carbon effects, providing a parsimonious means to diagnose sources of variation across numerical models capable of estimating such feedbacks.
Plain Language Summary
Estimating future changes to the Earth's climate requires an understanding of how carbon stored in vegetation and soils will respond to higher carbon dioxide in the atmosphere and changes in climate such as warmer temperatures and changes in precipitation. For instance, if plants and soils release more carbon, this will accelerate human‐driven climate change, which is known as a positive feedback. Because climate change and higher atmospheric carbon dioxide will affect crop and forestry yields, we expect humans to alter their land management activities in the future, leading to greater or lesser storage of carbon in soils and vegetation. Higher crop yields could lead to less crop area globally and greater storage of carbon in forests and other natural vegetation. In this study, we introduce a method for quantifying such human influences on carbon storage, combining a model of land management with a model of atmospheric, land, and ecosystem processes. We find that both higher atmospheric carbon dioxide and climate change tend to reduce the footprint of human agriculture and therefore increase carbon storage on the land. Our method for quantifying such feedbacks provides a simple means to compare across models and identify areas of agreement or disagreement.
Key Points
Changes in atmospheric carbon and climate drive changes in land management that can be characterized as carbon cycle feedbacks
Land management changes alter the estimation of both the concentration‐carbon and climate |
doi_str_mv | 10.1029/2018GL079350 |
format | Article |
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Plain Language Summary
Estimating future changes to the Earth's climate requires an understanding of how carbon stored in vegetation and soils will respond to higher carbon dioxide in the atmosphere and changes in climate such as warmer temperatures and changes in precipitation. For instance, if plants and soils release more carbon, this will accelerate human‐driven climate change, which is known as a positive feedback. Because climate change and higher atmospheric carbon dioxide will affect crop and forestry yields, we expect humans to alter their land management activities in the future, leading to greater or lesser storage of carbon in soils and vegetation. Higher crop yields could lead to less crop area globally and greater storage of carbon in forests and other natural vegetation. In this study, we introduce a method for quantifying such human influences on carbon storage, combining a model of land management with a model of atmospheric, land, and ecosystem processes. We find that both higher atmospheric carbon dioxide and climate change tend to reduce the footprint of human agriculture and therefore increase carbon storage on the land. Our method for quantifying such feedbacks provides a simple means to compare across models and identify areas of agreement or disagreement.
Key Points
Changes in atmospheric carbon and climate drive changes in land management that can be characterized as carbon cycle feedbacks
Land management changes alter the estimation of both the concentration‐carbon and climate‐carbon feedbacks
Quantifying human‐mediated carbon cycle feedbacks provides a framework for diagnosing cross‐model uncertainty</description><identifier>ISSN: 0094-8276</identifier><identifier>EISSN: 1944-8007</identifier><identifier>DOI: 10.1029/2018GL079350</identifier><language>eng</language><publisher>Washington: John Wiley & Sons, Inc</publisher><subject>Agricultural practices ; Agriculture ; Anthropogenic factors ; Atmospheric models ; Carbon ; Carbon capture and storage ; Carbon cycle ; carbon cycle feedbacks ; Carbon dioxide ; Carbon dioxide atmospheric concentrations ; Carbon dioxide concentration ; Carbon sequestration ; Climate change ; climate impacts on agriculture ; Climate system ; coupled human and natural systems ; Crop yield ; Crops ; Earth ; Ecosystem management ; Ecosystems ; Estimation ; Farm buildings ; Forestry ; Forests ; Frameworks ; GEOSCIENCES ; Greenhouse effect ; Greenhouse gases ; Human behavior ; Human influences ; Land cover ; Land management ; Land use planning ; Mathematical models ; Methods ; Natural vegetation ; Numerical models ; Positive feedback ; Precipitation ; Soil ; Strategic management ; Vegetation</subject><ispartof>Geophysical research letters, 2018-10, Vol.45 (20), p.11,370-11,379</ispartof><rights>Published 2018. This article is a U.S. Government work and is in the public domain in the USA.</rights><rights>2018. American Geophysical Union. All Rights Reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4370-8e13c3c9c5288de1a110b84cfeb22ea2d63c8d72b6075ff0297ffa8365f164103</citedby><cites>FETCH-LOGICAL-c4370-8e13c3c9c5288de1a110b84cfeb22ea2d63c8d72b6075ff0297ffa8365f164103</cites><orcidid>0000-0002-4463-9848 ; 0000-0002-4759-5158 ; 0000-0002-1913-7870 ; 0000-0001-9525-4633 ; 0000-0002-8139-4640 ; 0000-0003-2191-4189 ; 0000-0001-8994-5032 ; 0000000281394640 ; 0000000244639848 ; 0000000219137870 ; 0000000189945032 ; 0000000247595158 ; 0000000195254633 ; 0000000321914189</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1029%2F2018GL079350$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1029%2F2018GL079350$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>230,314,776,780,881,1411,1427,11493,27901,27902,45550,45551,46384,46443,46808,46867</link.rule.ids><backlink>$$Uhttps://www.osti.gov/servlets/purl/1480629$$D View this record in Osti.gov$$Hfree_for_read</backlink></links><search><creatorcontrib>Jones, Andrew D.</creatorcontrib><creatorcontrib>Calvin, Katherine V.</creatorcontrib><creatorcontrib>Shi, Xiaoying</creatorcontrib><creatorcontrib>Di Vittorio, Alan V.</creatorcontrib><creatorcontrib>Bond‐Lamberty, Ben</creatorcontrib><creatorcontrib>Thornton, Peter E.</creatorcontrib><creatorcontrib>Collins, William D.</creatorcontrib><creatorcontrib>Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)</creatorcontrib><creatorcontrib>Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Oak Ridge Leadership Computing Facility (OLCF)</creatorcontrib><creatorcontrib>Pacific Northwest National Lab. (PNNL), Richland, WA (United States)</creatorcontrib><title>Quantifying Human‐Mediated Carbon Cycle Feedbacks</title><title>Geophysical research letters</title><description>Changes in land and ocean carbon storage in response to elevated atmospheric carbon dioxide concentrations and associated climate change, known as the concentration‐carbon and climate‐carbon feedbacks, are principal controls on the response of the climate system to anthropogenic greenhouse gas emissions. Such feedbacks have typically been quantified in the context of natural ecosystems, but land management activities are also responsive to future atmospheric carbon and climate changes. Here we show that inclusion of such human‐driven responses within an Earth system model shifts both the terrestrial concentration‐carbon and climate‐carbon feedbacks toward increased carbon storage. We introduce a conceptual framework for decomposing these changes into separate concentration‐land cover, climate‐land cover, and land cover‐carbon effects, providing a parsimonious means to diagnose sources of variation across numerical models capable of estimating such feedbacks.
Plain Language Summary
Estimating future changes to the Earth's climate requires an understanding of how carbon stored in vegetation and soils will respond to higher carbon dioxide in the atmosphere and changes in climate such as warmer temperatures and changes in precipitation. For instance, if plants and soils release more carbon, this will accelerate human‐driven climate change, which is known as a positive feedback. Because climate change and higher atmospheric carbon dioxide will affect crop and forestry yields, we expect humans to alter their land management activities in the future, leading to greater or lesser storage of carbon in soils and vegetation. Higher crop yields could lead to less crop area globally and greater storage of carbon in forests and other natural vegetation. In this study, we introduce a method for quantifying such human influences on carbon storage, combining a model of land management with a model of atmospheric, land, and ecosystem processes. We find that both higher atmospheric carbon dioxide and climate change tend to reduce the footprint of human agriculture and therefore increase carbon storage on the land. Our method for quantifying such feedbacks provides a simple means to compare across models and identify areas of agreement or disagreement.
Key Points
Changes in atmospheric carbon and climate drive changes in land management that can be characterized as carbon cycle feedbacks
Land management changes alter the estimation of both the concentration‐carbon and climate‐carbon feedbacks
Quantifying human‐mediated carbon cycle feedbacks provides a framework for diagnosing cross‐model uncertainty</description><subject>Agricultural practices</subject><subject>Agriculture</subject><subject>Anthropogenic factors</subject><subject>Atmospheric models</subject><subject>Carbon</subject><subject>Carbon capture and storage</subject><subject>Carbon cycle</subject><subject>carbon cycle feedbacks</subject><subject>Carbon dioxide</subject><subject>Carbon dioxide atmospheric concentrations</subject><subject>Carbon dioxide concentration</subject><subject>Carbon sequestration</subject><subject>Climate change</subject><subject>climate impacts on agriculture</subject><subject>Climate system</subject><subject>coupled human and natural systems</subject><subject>Crop yield</subject><subject>Crops</subject><subject>Earth</subject><subject>Ecosystem management</subject><subject>Ecosystems</subject><subject>Estimation</subject><subject>Farm buildings</subject><subject>Forestry</subject><subject>Forests</subject><subject>Frameworks</subject><subject>GEOSCIENCES</subject><subject>Greenhouse effect</subject><subject>Greenhouse gases</subject><subject>Human behavior</subject><subject>Human influences</subject><subject>Land cover</subject><subject>Land management</subject><subject>Land use planning</subject><subject>Mathematical models</subject><subject>Methods</subject><subject>Natural vegetation</subject><subject>Numerical models</subject><subject>Positive feedback</subject><subject>Precipitation</subject><subject>Soil</subject><subject>Strategic management</subject><subject>Vegetation</subject><issn>0094-8276</issn><issn>1944-8007</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNp90MFOhDAQBuDGaOK6evMBiF5FZ1qg7dEQlzXBGI2em1JaZd2FlUIMNx_BZ_RJZIMHT55mDl_-zPyEnCJcIlB5RQFFlgOXLIY9MkMZRaEA4PtkBiDHnfLkkBx5vwIABgxnhD30uu4qN1T1S7DsN7r-_vy6s2WlO1sGqW6Lpg7SwaxtsLC2LLR588fkwOm1tye_c06eFzdP6TLM77Pb9DoPTcQ4hMIiM8xIE1MhSosaEQoRGWcLSq2mZcKMKDktEuCxc-MD3DktWBI7TCIENidnU27ju0p5U3XWvJqmrq3pFEYCEipHdD6hbdu899Z3atX0bT3epSgyiZxSuYu6mJRpG-9b69S2rTa6HRSC2nWn_nY3cjrxj2pth3-tyh7zWCAF9gPALm3b</recordid><startdate>20181028</startdate><enddate>20181028</enddate><creator>Jones, Andrew D.</creator><creator>Calvin, Katherine V.</creator><creator>Shi, Xiaoying</creator><creator>Di Vittorio, Alan V.</creator><creator>Bond‐Lamberty, Ben</creator><creator>Thornton, Peter E.</creator><creator>Collins, William D.</creator><general>John Wiley & Sons, Inc</general><general>American Geophysical Union</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TG</scope><scope>7TN</scope><scope>8FD</scope><scope>F1W</scope><scope>FR3</scope><scope>H8D</scope><scope>H96</scope><scope>KL.</scope><scope>KR7</scope><scope>L.G</scope><scope>L7M</scope><scope>OIOZB</scope><scope>OTOTI</scope><orcidid>https://orcid.org/0000-0002-4463-9848</orcidid><orcidid>https://orcid.org/0000-0002-4759-5158</orcidid><orcidid>https://orcid.org/0000-0002-1913-7870</orcidid><orcidid>https://orcid.org/0000-0001-9525-4633</orcidid><orcidid>https://orcid.org/0000-0002-8139-4640</orcidid><orcidid>https://orcid.org/0000-0003-2191-4189</orcidid><orcidid>https://orcid.org/0000-0001-8994-5032</orcidid><orcidid>https://orcid.org/0000000281394640</orcidid><orcidid>https://orcid.org/0000000244639848</orcidid><orcidid>https://orcid.org/0000000219137870</orcidid><orcidid>https://orcid.org/0000000189945032</orcidid><orcidid>https://orcid.org/0000000247595158</orcidid><orcidid>https://orcid.org/0000000195254633</orcidid><orcidid>https://orcid.org/0000000321914189</orcidid></search><sort><creationdate>20181028</creationdate><title>Quantifying Human‐Mediated Carbon Cycle Feedbacks</title><author>Jones, Andrew D. ; Calvin, Katherine V. ; Shi, Xiaoying ; Di Vittorio, Alan V. ; Bond‐Lamberty, Ben ; Thornton, Peter E. ; Collins, William D.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4370-8e13c3c9c5288de1a110b84cfeb22ea2d63c8d72b6075ff0297ffa8365f164103</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Agricultural practices</topic><topic>Agriculture</topic><topic>Anthropogenic factors</topic><topic>Atmospheric models</topic><topic>Carbon</topic><topic>Carbon capture and storage</topic><topic>Carbon cycle</topic><topic>carbon cycle feedbacks</topic><topic>Carbon dioxide</topic><topic>Carbon dioxide atmospheric concentrations</topic><topic>Carbon dioxide concentration</topic><topic>Carbon sequestration</topic><topic>Climate change</topic><topic>climate impacts on agriculture</topic><topic>Climate system</topic><topic>coupled human and natural systems</topic><topic>Crop yield</topic><topic>Crops</topic><topic>Earth</topic><topic>Ecosystem management</topic><topic>Ecosystems</topic><topic>Estimation</topic><topic>Farm buildings</topic><topic>Forestry</topic><topic>Forests</topic><topic>Frameworks</topic><topic>GEOSCIENCES</topic><topic>Greenhouse effect</topic><topic>Greenhouse gases</topic><topic>Human behavior</topic><topic>Human influences</topic><topic>Land cover</topic><topic>Land management</topic><topic>Land use planning</topic><topic>Mathematical models</topic><topic>Methods</topic><topic>Natural vegetation</topic><topic>Numerical models</topic><topic>Positive feedback</topic><topic>Precipitation</topic><topic>Soil</topic><topic>Strategic management</topic><topic>Vegetation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Jones, Andrew D.</creatorcontrib><creatorcontrib>Calvin, Katherine V.</creatorcontrib><creatorcontrib>Shi, Xiaoying</creatorcontrib><creatorcontrib>Di Vittorio, Alan V.</creatorcontrib><creatorcontrib>Bond‐Lamberty, Ben</creatorcontrib><creatorcontrib>Thornton, Peter E.</creatorcontrib><creatorcontrib>Collins, William D.</creatorcontrib><creatorcontrib>Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)</creatorcontrib><creatorcontrib>Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Oak Ridge Leadership Computing Facility (OLCF)</creatorcontrib><creatorcontrib>Pacific Northwest National Lab. (PNNL), Richland, WA (United States)</creatorcontrib><collection>CrossRef</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Oceanic Abstracts</collection><collection>Technology Research Database</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Civil Engineering Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>OSTI.GOV - Hybrid</collection><collection>OSTI.GOV</collection><jtitle>Geophysical research letters</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Jones, Andrew D.</au><au>Calvin, Katherine V.</au><au>Shi, Xiaoying</au><au>Di Vittorio, Alan V.</au><au>Bond‐Lamberty, Ben</au><au>Thornton, Peter E.</au><au>Collins, William D.</au><aucorp>Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)</aucorp><aucorp>Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Oak Ridge Leadership Computing Facility (OLCF)</aucorp><aucorp>Pacific Northwest National Lab. (PNNL), Richland, WA (United States)</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Quantifying Human‐Mediated Carbon Cycle Feedbacks</atitle><jtitle>Geophysical research letters</jtitle><date>2018-10-28</date><risdate>2018</risdate><volume>45</volume><issue>20</issue><spage>11,370</spage><epage>11,379</epage><pages>11,370-11,379</pages><issn>0094-8276</issn><eissn>1944-8007</eissn><abstract>Changes in land and ocean carbon storage in response to elevated atmospheric carbon dioxide concentrations and associated climate change, known as the concentration‐carbon and climate‐carbon feedbacks, are principal controls on the response of the climate system to anthropogenic greenhouse gas emissions. Such feedbacks have typically been quantified in the context of natural ecosystems, but land management activities are also responsive to future atmospheric carbon and climate changes. Here we show that inclusion of such human‐driven responses within an Earth system model shifts both the terrestrial concentration‐carbon and climate‐carbon feedbacks toward increased carbon storage. We introduce a conceptual framework for decomposing these changes into separate concentration‐land cover, climate‐land cover, and land cover‐carbon effects, providing a parsimonious means to diagnose sources of variation across numerical models capable of estimating such feedbacks.
Plain Language Summary
Estimating future changes to the Earth's climate requires an understanding of how carbon stored in vegetation and soils will respond to higher carbon dioxide in the atmosphere and changes in climate such as warmer temperatures and changes in precipitation. For instance, if plants and soils release more carbon, this will accelerate human‐driven climate change, which is known as a positive feedback. Because climate change and higher atmospheric carbon dioxide will affect crop and forestry yields, we expect humans to alter their land management activities in the future, leading to greater or lesser storage of carbon in soils and vegetation. Higher crop yields could lead to less crop area globally and greater storage of carbon in forests and other natural vegetation. In this study, we introduce a method for quantifying such human influences on carbon storage, combining a model of land management with a model of atmospheric, land, and ecosystem processes. We find that both higher atmospheric carbon dioxide and climate change tend to reduce the footprint of human agriculture and therefore increase carbon storage on the land. Our method for quantifying such feedbacks provides a simple means to compare across models and identify areas of agreement or disagreement.
Key Points
Changes in atmospheric carbon and climate drive changes in land management that can be characterized as carbon cycle feedbacks
Land management changes alter the estimation of both the concentration‐carbon and climate‐carbon feedbacks
Quantifying human‐mediated carbon cycle feedbacks provides a framework for diagnosing cross‐model uncertainty</abstract><cop>Washington</cop><pub>John Wiley & Sons, Inc</pub><doi>10.1029/2018GL079350</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0002-4463-9848</orcidid><orcidid>https://orcid.org/0000-0002-4759-5158</orcidid><orcidid>https://orcid.org/0000-0002-1913-7870</orcidid><orcidid>https://orcid.org/0000-0001-9525-4633</orcidid><orcidid>https://orcid.org/0000-0002-8139-4640</orcidid><orcidid>https://orcid.org/0000-0003-2191-4189</orcidid><orcidid>https://orcid.org/0000-0001-8994-5032</orcidid><orcidid>https://orcid.org/0000000281394640</orcidid><orcidid>https://orcid.org/0000000244639848</orcidid><orcidid>https://orcid.org/0000000219137870</orcidid><orcidid>https://orcid.org/0000000189945032</orcidid><orcidid>https://orcid.org/0000000247595158</orcidid><orcidid>https://orcid.org/0000000195254633</orcidid><orcidid>https://orcid.org/0000000321914189</orcidid><oa>free_for_read</oa></addata></record> |
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source | Wiley Free Content; Wiley-Blackwell AGU Digital Library; Wiley Online Library Journals Frontfile Complete; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals |
subjects | Agricultural practices Agriculture Anthropogenic factors Atmospheric models Carbon Carbon capture and storage Carbon cycle carbon cycle feedbacks Carbon dioxide Carbon dioxide atmospheric concentrations Carbon dioxide concentration Carbon sequestration Climate change climate impacts on agriculture Climate system coupled human and natural systems Crop yield Crops Earth Ecosystem management Ecosystems Estimation Farm buildings Forestry Forests Frameworks GEOSCIENCES Greenhouse effect Greenhouse gases Human behavior Human influences Land cover Land management Land use planning Mathematical models Methods Natural vegetation Numerical models Positive feedback Precipitation Soil Strategic management Vegetation |
title | Quantifying Human‐Mediated Carbon Cycle Feedbacks |
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