BioEarth: Envisioning and developing a new regional earth system model to inform natural and agricultural resource management
As managers of agricultural and natural resources are confronted with uncertainties in global change impacts, the complexities associated with the interconnected cycling of nitrogen, carbon, and water present daunting management challenges. Existing models provide detailed information on specific su...
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Veröffentlicht in: | Climatic change 2015-04, Vol.129 (3-4), p.555-571 |
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creator | Adam, Jennifer C. Stephens, Jennie C. Chung, Serena H. Brady, Michael P. Evans, R. David Kruger, Chad E. Lamb, Brian K. Liu, Mingliang Stöckle, Claudio O. Vaughan, Joseph K. Rajagopalan, Kirti Harrison, John A. Tague, Christina L. Kalyanaraman, Ananth Chen, Yong Guenther, Alex Leung, Fok-Yan Leung, L. Ruby Perleberg, Andrew B. Yoder, Jonathan Allen, Elizabeth Anderson, Sarah Chandrasekharan, Bhagyam Malek, Keyvan Mullis, Tristan Miller, Cody Nergui, Tsengel Poinsatte, Justin Reyes, Julian Zhu, Jun Choate, Janet S. Jiang, Xiaoyan Nelson, Roger Yoon, Jin-Ho Yorgey, Georgine G. Johnson, Kristen Chinnayakanahalli, Kiran J. Hamlet, Alan F. Nijssen, Bart Walden, Von |
description | As managers of agricultural and natural resources are confronted with uncertainties in global change impacts, the complexities associated with the interconnected cycling of nitrogen, carbon, and water present daunting management challenges. Existing models provide detailed information on specific sub-systems (e.g., land, air, water, and economics). An increasing awareness of the unintended consequences of management decisions resulting from interconnectedness of these sub-systems, however, necessitates coupled regional earth system models (EaSMs). Decision makers’ needs and priorities can be integrated into the model design and development processes to enhance decision-making relevance and “usability” of EaSMs. BioEarth is a research initiative currently under development with a focus on the U.S. Pacific Northwest region that explores the coupling of multiple stand-alone EaSMs to generate usable information for resource decision-making. Direct engagement between model developers and non-academic stakeholders involved in resource and environmental management decisions throughout the model development process is a critical component of this effort. BioEarth utilizes a bottom-up approach for its land surface model that preserves fine spatial-scale sensitivities and lateral hydrologic connectivity, which makes it unique among many regional EaSMs. This paper describes the BioEarth initiative and highlights opportunities and challenges associated with coupling multiple stand-alone models to generate usable information for agricultural and natural resource decision-making. |
doi_str_mv | 10.1007/s10584-014-1115-2 |
format | Article |
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David ; Kruger, Chad E. ; Lamb, Brian K. ; Liu, Mingliang ; Stöckle, Claudio O. ; Vaughan, Joseph K. ; Rajagopalan, Kirti ; Harrison, John A. ; Tague, Christina L. ; Kalyanaraman, Ananth ; Chen, Yong ; Guenther, Alex ; Leung, Fok-Yan ; Leung, L. Ruby ; Perleberg, Andrew B. ; Yoder, Jonathan ; Allen, Elizabeth ; Anderson, Sarah ; Chandrasekharan, Bhagyam ; Malek, Keyvan ; Mullis, Tristan ; Miller, Cody ; Nergui, Tsengel ; Poinsatte, Justin ; Reyes, Julian ; Zhu, Jun ; Choate, Janet S. ; Jiang, Xiaoyan ; Nelson, Roger ; Yoon, Jin-Ho ; Yorgey, Georgine G. ; Johnson, Kristen ; Chinnayakanahalli, Kiran J. ; Hamlet, Alan F. ; Nijssen, Bart ; Walden, Von</creator><creatorcontrib>Adam, Jennifer C. ; Stephens, Jennie C. ; Chung, Serena H. ; Brady, Michael P. ; Evans, R. David ; Kruger, Chad E. ; Lamb, Brian K. ; Liu, Mingliang ; Stöckle, Claudio O. ; Vaughan, Joseph K. ; Rajagopalan, Kirti ; Harrison, John A. ; Tague, Christina L. ; Kalyanaraman, Ananth ; Chen, Yong ; Guenther, Alex ; Leung, Fok-Yan ; Leung, L. Ruby ; Perleberg, Andrew B. ; Yoder, Jonathan ; Allen, Elizabeth ; Anderson, Sarah ; Chandrasekharan, Bhagyam ; Malek, Keyvan ; Mullis, Tristan ; Miller, Cody ; Nergui, Tsengel ; Poinsatte, Justin ; Reyes, Julian ; Zhu, Jun ; Choate, Janet S. ; Jiang, Xiaoyan ; Nelson, Roger ; Yoon, Jin-Ho ; Yorgey, Georgine G. ; Johnson, Kristen ; Chinnayakanahalli, Kiran J. ; Hamlet, Alan F. ; Nijssen, Bart ; Walden, Von</creatorcontrib><description>As managers of agricultural and natural resources are confronted with uncertainties in global change impacts, the complexities associated with the interconnected cycling of nitrogen, carbon, and water present daunting management challenges. 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BioEarth utilizes a bottom-up approach for its land surface model that preserves fine spatial-scale sensitivities and lateral hydrologic connectivity, which makes it unique among many regional EaSMs. This paper describes the BioEarth initiative and highlights opportunities and challenges associated with coupling multiple stand-alone models to generate usable information for agricultural and natural resource decision-making.</description><identifier>ISSN: 0165-0009</identifier><identifier>EISSN: 1573-1480</identifier><identifier>DOI: 10.1007/s10584-014-1115-2</identifier><identifier>CODEN: CLCHDX</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>Agricultural management ; Agricultural resources ; Agriculture ; Atmospheric Sciences ; Climate change ; Climate Change/Climate Change Impacts ; Climate science ; Computer based modeling ; Decision making ; Decisions ; Earth ; Earth and Environmental Science ; Earth Sciences ; Environmental management ; Human influences ; Joining ; Land ; Management decisions ; Mathematical models ; Natural resources ; Regional ; Resource management ; Usability</subject><ispartof>Climatic change, 2015-04, Vol.129 (3-4), p.555-571</ispartof><rights>The Author(s) 2014</rights><rights>Springer Science+Business Media Dordrecht 2015</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c491t-53a9ed15a6979124e9a0cc451972c8f5d55c489bae39f136a935d7f88611c13a3</citedby><cites>FETCH-LOGICAL-c491t-53a9ed15a6979124e9a0cc451972c8f5d55c489bae39f136a935d7f88611c13a3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10584-014-1115-2$$EPDF$$P50$$Gspringer$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10584-014-1115-2$$EHTML$$P50$$Gspringer$$Hfree_for_read</linktohtml><link.rule.ids>314,776,780,27903,27904,41467,42536,51297</link.rule.ids></links><search><creatorcontrib>Adam, Jennifer C.</creatorcontrib><creatorcontrib>Stephens, Jennie C.</creatorcontrib><creatorcontrib>Chung, Serena H.</creatorcontrib><creatorcontrib>Brady, Michael P.</creatorcontrib><creatorcontrib>Evans, R. 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Existing models provide detailed information on specific sub-systems (e.g., land, air, water, and economics). An increasing awareness of the unintended consequences of management decisions resulting from interconnectedness of these sub-systems, however, necessitates coupled regional earth system models (EaSMs). Decision makers’ needs and priorities can be integrated into the model design and development processes to enhance decision-making relevance and “usability” of EaSMs. BioEarth is a research initiative currently under development with a focus on the U.S. Pacific Northwest region that explores the coupling of multiple stand-alone EaSMs to generate usable information for resource decision-making. Direct engagement between model developers and non-academic stakeholders involved in resource and environmental management decisions throughout the model development process is a critical component of this effort. 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David ; Kruger, Chad E. ; Lamb, Brian K. ; Liu, Mingliang ; Stöckle, Claudio O. ; Vaughan, Joseph K. ; Rajagopalan, Kirti ; Harrison, John A. ; Tague, Christina L. ; Kalyanaraman, Ananth ; Chen, Yong ; Guenther, Alex ; Leung, Fok-Yan ; Leung, L. 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David</au><au>Kruger, Chad E.</au><au>Lamb, Brian K.</au><au>Liu, Mingliang</au><au>Stöckle, Claudio O.</au><au>Vaughan, Joseph K.</au><au>Rajagopalan, Kirti</au><au>Harrison, John A.</au><au>Tague, Christina L.</au><au>Kalyanaraman, Ananth</au><au>Chen, Yong</au><au>Guenther, Alex</au><au>Leung, Fok-Yan</au><au>Leung, L. Ruby</au><au>Perleberg, Andrew B.</au><au>Yoder, Jonathan</au><au>Allen, Elizabeth</au><au>Anderson, Sarah</au><au>Chandrasekharan, Bhagyam</au><au>Malek, Keyvan</au><au>Mullis, Tristan</au><au>Miller, Cody</au><au>Nergui, Tsengel</au><au>Poinsatte, Justin</au><au>Reyes, Julian</au><au>Zhu, Jun</au><au>Choate, Janet S.</au><au>Jiang, Xiaoyan</au><au>Nelson, Roger</au><au>Yoon, Jin-Ho</au><au>Yorgey, Georgine G.</au><au>Johnson, Kristen</au><au>Chinnayakanahalli, Kiran J.</au><au>Hamlet, Alan F.</au><au>Nijssen, Bart</au><au>Walden, Von</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>BioEarth: Envisioning and developing a new regional earth system model to inform natural and agricultural resource management</atitle><jtitle>Climatic change</jtitle><stitle>Climatic Change</stitle><date>2015-04-01</date><risdate>2015</risdate><volume>129</volume><issue>3-4</issue><spage>555</spage><epage>571</epage><pages>555-571</pages><issn>0165-0009</issn><eissn>1573-1480</eissn><coden>CLCHDX</coden><abstract>As managers of agricultural and natural resources are confronted with uncertainties in global change impacts, the complexities associated with the interconnected cycling of nitrogen, carbon, and water present daunting management challenges. Existing models provide detailed information on specific sub-systems (e.g., land, air, water, and economics). An increasing awareness of the unintended consequences of management decisions resulting from interconnectedness of these sub-systems, however, necessitates coupled regional earth system models (EaSMs). Decision makers’ needs and priorities can be integrated into the model design and development processes to enhance decision-making relevance and “usability” of EaSMs. BioEarth is a research initiative currently under development with a focus on the U.S. Pacific Northwest region that explores the coupling of multiple stand-alone EaSMs to generate usable information for resource decision-making. Direct engagement between model developers and non-academic stakeholders involved in resource and environmental management decisions throughout the model development process is a critical component of this effort. BioEarth utilizes a bottom-up approach for its land surface model that preserves fine spatial-scale sensitivities and lateral hydrologic connectivity, which makes it unique among many regional EaSMs. This paper describes the BioEarth initiative and highlights opportunities and challenges associated with coupling multiple stand-alone models to generate usable information for agricultural and natural resource decision-making.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><doi>10.1007/s10584-014-1115-2</doi><tpages>17</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0165-0009 |
ispartof | Climatic change, 2015-04, Vol.129 (3-4), p.555-571 |
issn | 0165-0009 1573-1480 |
language | eng |
recordid | cdi_proquest_miscellaneous_1677910740 |
source | Springer Nature - Complete Springer Journals |
subjects | Agricultural management Agricultural resources Agriculture Atmospheric Sciences Climate change Climate Change/Climate Change Impacts Climate science Computer based modeling Decision making Decisions Earth Earth and Environmental Science Earth Sciences Environmental management Human influences Joining Land Management decisions Mathematical models Natural resources Regional Resource management Usability |
title | BioEarth: Envisioning and developing a new regional earth system model to inform natural and agricultural resource management |
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