Signal-transfer modeling for regional assessment of forest responses to environmental changes in the southeastern United States
Stochastic transfer of information in a hierarchy of simulators is offered as a conceptual approach for assessing forest responses to changing climate and air quality across 13 southeastern states of the USA. This assessment approach combines geographic information system and Monte Carlo capabilitie...
Gespeichert in:
| Veröffentlicht in: | Environmental modeling & assessment 2000-01, Vol.5 (2), p.125-137 |
|---|---|
| Hauptverfasser: | , , , , , , , , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 137 |
|---|---|
| container_issue | 2 |
| container_start_page | 125 |
| container_title | Environmental modeling & assessment |
| container_volume | 5 |
| creator | Luxmoore, Robert J Hargrove, William W Tharp, M Lynn Post, Wilfred M Berry, Michael W Minser, Karen S Cropper, Wendell P Johnson, Dale W Zeide, Boris Amateis, Ralph L Burkhart, Harold E V. Clark Baldwin, Jr Peterson, Kelly D |
| description | Stochastic transfer of information in a hierarchy of simulators is offered as a conceptual approach for assessing forest responses to changing climate and air quality across 13 southeastern states of the USA. This assessment approach combines geographic information system and Monte Carlo capabilities with several scales of computer modeling for southern pine species and eastern deciduous forests. Outputs, such as forest production, evapotranspiration and carbon pools, may be compared statistically for alternative equilibrium or transient scenarios providing a statistical basis for decision making in regional assessments. [PUBLICATION ABSTRACT] |
| doi_str_mv | 10.1023/A:1019005510316 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest</sourceid><recordid>TN_cdi_proquest_miscellaneous_743442478</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>743442478</sourcerecordid><originalsourceid>FETCH-LOGICAL-c258t-1799cf2b577361304f831431bbc6f30ff10b9c7504658accc5ef846574fb00c53</originalsourceid><addsrcrecordid>eNpdkEtLAzEUhYMoWKtrt8GNq9Gb12TGXRFfUHBRuy6ZNGmnTJOam3HrXzdFV67Oge_jcLmEXDO4Y8DF_eyBAWsBlGIgWH1CJkxpUfG21qelSw4VB16fkwvEHQDUNagJ-V70m2CGKicT0LtE93Hthj5sqI-JJrfpY8HUIDrEvQuZRn9EDnOheIihAJojdeGrTzEcleLbrQmbAvpA89ZRjGMJg9mlQJehz25NF9lkh5fkzJsB3dVfTsny-enj8bWav7-8Pc7mleWqyRXTbWs975TWomYCpG8Ek4J1na29AO8ZdK3VCmStGmOtVc43pWvpOwCrxJTc_u4eUvwcy_WrfY_WDYMJLo640lJIyaVuinnzz9zFMZUn4IpzxrTUuhU_OXtwaQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>221174779</pqid></control><display><type>article</type><title>Signal-transfer modeling for regional assessment of forest responses to environmental changes in the southeastern United States</title><source>SpringerLink (Online service)</source><creator>Luxmoore, Robert J ; Hargrove, William W ; Tharp, M Lynn ; Post, Wilfred M ; Berry, Michael W ; Minser, Karen S ; Cropper, Wendell P ; Johnson, Dale W ; Zeide, Boris ; Amateis, Ralph L ; Burkhart, Harold E ; V. Clark Baldwin, Jr ; Peterson, Kelly D</creator><creatorcontrib>Luxmoore, Robert J ; Hargrove, William W ; Tharp, M Lynn ; Post, Wilfred M ; Berry, Michael W ; Minser, Karen S ; Cropper, Wendell P ; Johnson, Dale W ; Zeide, Boris ; Amateis, Ralph L ; Burkhart, Harold E ; V. Clark Baldwin, Jr ; Peterson, Kelly D</creatorcontrib><description>Stochastic transfer of information in a hierarchy of simulators is offered as a conceptual approach for assessing forest responses to changing climate and air quality across 13 southeastern states of the USA. This assessment approach combines geographic information system and Monte Carlo capabilities with several scales of computer modeling for southern pine species and eastern deciduous forests. Outputs, such as forest production, evapotranspiration and carbon pools, may be compared statistically for alternative equilibrium or transient scenarios providing a statistical basis for decision making in regional assessments. [PUBLICATION ABSTRACT]</description><identifier>ISSN: 1420-2026</identifier><identifier>EISSN: 1573-2967</identifier><identifier>DOI: 10.1023/A:1019005510316</identifier><language>eng</language><publisher>Dordrecht: Springer Nature B.V</publisher><subject>Air quality ; Climate change ; Coastal plains ; Deciduous forests ; Ecosystems ; Environmental changes ; Environmental impact ; Environmental monitoring ; Evapotranspiration ; Forests ; Geographic information systems ; Monte Carlo simulation ; Ozone ; Physiology ; Plantations ; Precipitation ; Remote sensing ; Scale models ; Stochastic models ; Trees</subject><ispartof>Environmental modeling & assessment, 2000-01, Vol.5 (2), p.125-137</ispartof><rights>Copyright (c) 2000 Kluwer Academic Publishers</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c258t-1799cf2b577361304f831431bbc6f30ff10b9c7504658accc5ef846574fb00c53</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids></links><search><creatorcontrib>Luxmoore, Robert J</creatorcontrib><creatorcontrib>Hargrove, William W</creatorcontrib><creatorcontrib>Tharp, M Lynn</creatorcontrib><creatorcontrib>Post, Wilfred M</creatorcontrib><creatorcontrib>Berry, Michael W</creatorcontrib><creatorcontrib>Minser, Karen S</creatorcontrib><creatorcontrib>Cropper, Wendell P</creatorcontrib><creatorcontrib>Johnson, Dale W</creatorcontrib><creatorcontrib>Zeide, Boris</creatorcontrib><creatorcontrib>Amateis, Ralph L</creatorcontrib><creatorcontrib>Burkhart, Harold E</creatorcontrib><creatorcontrib>V. Clark Baldwin, Jr</creatorcontrib><creatorcontrib>Peterson, Kelly D</creatorcontrib><title>Signal-transfer modeling for regional assessment of forest responses to environmental changes in the southeastern United States</title><title>Environmental modeling & assessment</title><description>Stochastic transfer of information in a hierarchy of simulators is offered as a conceptual approach for assessing forest responses to changing climate and air quality across 13 southeastern states of the USA. This assessment approach combines geographic information system and Monte Carlo capabilities with several scales of computer modeling for southern pine species and eastern deciduous forests. Outputs, such as forest production, evapotranspiration and carbon pools, may be compared statistically for alternative equilibrium or transient scenarios providing a statistical basis for decision making in regional assessments. [PUBLICATION ABSTRACT]</description><subject>Air quality</subject><subject>Climate change</subject><subject>Coastal plains</subject><subject>Deciduous forests</subject><subject>Ecosystems</subject><subject>Environmental changes</subject><subject>Environmental impact</subject><subject>Environmental monitoring</subject><subject>Evapotranspiration</subject><subject>Forests</subject><subject>Geographic information systems</subject><subject>Monte Carlo simulation</subject><subject>Ozone</subject><subject>Physiology</subject><subject>Plantations</subject><subject>Precipitation</subject><subject>Remote sensing</subject><subject>Scale models</subject><subject>Stochastic models</subject><subject>Trees</subject><issn>1420-2026</issn><issn>1573-2967</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2000</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNpdkEtLAzEUhYMoWKtrt8GNq9Gb12TGXRFfUHBRuy6ZNGmnTJOam3HrXzdFV67Oge_jcLmEXDO4Y8DF_eyBAWsBlGIgWH1CJkxpUfG21qelSw4VB16fkwvEHQDUNagJ-V70m2CGKicT0LtE93Hthj5sqI-JJrfpY8HUIDrEvQuZRn9EDnOheIihAJojdeGrTzEcleLbrQmbAvpA89ZRjGMJg9mlQJehz25NF9lkh5fkzJsB3dVfTsny-enj8bWav7-8Pc7mleWqyRXTbWs975TWomYCpG8Ek4J1na29AO8ZdK3VCmStGmOtVc43pWvpOwCrxJTc_u4eUvwcy_WrfY_WDYMJLo640lJIyaVuinnzz9zFMZUn4IpzxrTUuhU_OXtwaQ</recordid><startdate>20000101</startdate><enddate>20000101</enddate><creator>Luxmoore, Robert J</creator><creator>Hargrove, William W</creator><creator>Tharp, M Lynn</creator><creator>Post, Wilfred M</creator><creator>Berry, Michael W</creator><creator>Minser, Karen S</creator><creator>Cropper, Wendell P</creator><creator>Johnson, Dale W</creator><creator>Zeide, Boris</creator><creator>Amateis, Ralph L</creator><creator>Burkhart, Harold E</creator><creator>V. Clark Baldwin, Jr</creator><creator>Peterson, Kelly D</creator><general>Springer Nature B.V</general><scope>3V.</scope><scope>7SC</scope><scope>7ST</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>87Z</scope><scope>88I</scope><scope>8AL</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>8FL</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FRNLG</scope><scope>F~G</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K60</scope><scope>K6~</scope><scope>K7-</scope><scope>KR7</scope><scope>L.-</scope><scope>L6V</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>M0C</scope><scope>M0N</scope><scope>M2P</scope><scope>M7S</scope><scope>P5Z</scope><scope>P62</scope><scope>PATMY</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>SOI</scope></search><sort><creationdate>20000101</creationdate><title>Signal-transfer modeling for regional assessment of forest responses to environmental changes in the southeastern United States</title><author>Luxmoore, Robert J ; Hargrove, William W ; Tharp, M Lynn ; Post, Wilfred M ; Berry, Michael W ; Minser, Karen S ; Cropper, Wendell P ; Johnson, Dale W ; Zeide, Boris ; Amateis, Ralph L ; Burkhart, Harold E ; V. Clark Baldwin, Jr ; Peterson, Kelly D</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c258t-1799cf2b577361304f831431bbc6f30ff10b9c7504658accc5ef846574fb00c53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2000</creationdate><topic>Air quality</topic><topic>Climate change</topic><topic>Coastal plains</topic><topic>Deciduous forests</topic><topic>Ecosystems</topic><topic>Environmental changes</topic><topic>Environmental impact</topic><topic>Environmental monitoring</topic><topic>Evapotranspiration</topic><topic>Forests</topic><topic>Geographic information systems</topic><topic>Monte Carlo simulation</topic><topic>Ozone</topic><topic>Physiology</topic><topic>Plantations</topic><topic>Precipitation</topic><topic>Remote sensing</topic><topic>Scale models</topic><topic>Stochastic models</topic><topic>Trees</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Luxmoore, Robert J</creatorcontrib><creatorcontrib>Hargrove, William W</creatorcontrib><creatorcontrib>Tharp, M Lynn</creatorcontrib><creatorcontrib>Post, Wilfred M</creatorcontrib><creatorcontrib>Berry, Michael W</creatorcontrib><creatorcontrib>Minser, Karen S</creatorcontrib><creatorcontrib>Cropper, Wendell P</creatorcontrib><creatorcontrib>Johnson, Dale W</creatorcontrib><creatorcontrib>Zeide, Boris</creatorcontrib><creatorcontrib>Amateis, Ralph L</creatorcontrib><creatorcontrib>Burkhart, Harold E</creatorcontrib><creatorcontrib>V. Clark Baldwin, Jr</creatorcontrib><creatorcontrib>Peterson, Kelly D</creatorcontrib><collection>ProQuest Central (Corporate)</collection><collection>Computer and Information Systems Abstracts</collection><collection>Environment Abstracts</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection</collection><collection>Science Database (Alumni Edition)</collection><collection>Computing Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Database (1962 - current)</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest Business Premium Collection</collection><collection>Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Engineering Research Database</collection><collection>Business Premium Collection (Alumni)</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>Computer Science Database</collection><collection>Civil Engineering Abstracts</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ProQuest Engineering Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>ABI/INFORM Global (ProQuest)</collection><collection>Computing Database</collection><collection>Science Database (ProQuest)</collection><collection>Engineering Database</collection><collection>ProQuest advanced technologies & aerospace journals</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Environmental Science Database</collection><collection>One Business (ProQuest)</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering collection</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>Environment Abstracts</collection><jtitle>Environmental modeling & assessment</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Luxmoore, Robert J</au><au>Hargrove, William W</au><au>Tharp, M Lynn</au><au>Post, Wilfred M</au><au>Berry, Michael W</au><au>Minser, Karen S</au><au>Cropper, Wendell P</au><au>Johnson, Dale W</au><au>Zeide, Boris</au><au>Amateis, Ralph L</au><au>Burkhart, Harold E</au><au>V. Clark Baldwin, Jr</au><au>Peterson, Kelly D</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Signal-transfer modeling for regional assessment of forest responses to environmental changes in the southeastern United States</atitle><jtitle>Environmental modeling & assessment</jtitle><date>2000-01-01</date><risdate>2000</risdate><volume>5</volume><issue>2</issue><spage>125</spage><epage>137</epage><pages>125-137</pages><issn>1420-2026</issn><eissn>1573-2967</eissn><abstract>Stochastic transfer of information in a hierarchy of simulators is offered as a conceptual approach for assessing forest responses to changing climate and air quality across 13 southeastern states of the USA. This assessment approach combines geographic information system and Monte Carlo capabilities with several scales of computer modeling for southern pine species and eastern deciduous forests. Outputs, such as forest production, evapotranspiration and carbon pools, may be compared statistically for alternative equilibrium or transient scenarios providing a statistical basis for decision making in regional assessments. [PUBLICATION ABSTRACT]</abstract><cop>Dordrecht</cop><pub>Springer Nature B.V</pub><doi>10.1023/A:1019005510316</doi><tpages>13</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1420-2026 |
| ispartof | Environmental modeling & assessment, 2000-01, Vol.5 (2), p.125-137 |
| issn | 1420-2026 1573-2967 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_743442478 |
| source | SpringerLink (Online service) |
| subjects | Air quality Climate change Coastal plains Deciduous forests Ecosystems Environmental changes Environmental impact Environmental monitoring Evapotranspiration Forests Geographic information systems Monte Carlo simulation Ozone Physiology Plantations Precipitation Remote sensing Scale models Stochastic models Trees |
| title | Signal-transfer modeling for regional assessment of forest responses to environmental changes in the southeastern United States |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-11T17%3A15%3A37IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Signal-transfer%20modeling%20for%20regional%20assessment%20of%20forest%20responses%20to%20environmental%20changes%20in%20the%20southeastern%20United%20States&rft.jtitle=Environmental%20modeling%20&%20assessment&rft.au=Luxmoore,%20Robert%20J&rft.date=2000-01-01&rft.volume=5&rft.issue=2&rft.spage=125&rft.epage=137&rft.pages=125-137&rft.issn=1420-2026&rft.eissn=1573-2967&rft_id=info:doi/10.1023/A:1019005510316&rft_dat=%3Cproquest%3E743442478%3C/proquest%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=221174779&rft_id=info:pmid/&rfr_iscdi=true |