Global patterns in the vulnerability of ecosystems to vegetation shifts due to climate change
Climate change threatens to shift vegetation, disrupting ecosystems and damaging human well-being. Field observations in boreal, temperate and tropical ecosystems have detected biome changes in the 20th century, yet a lack of spatial data on vulnerability hinders organizations that manage natural re...
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Veröffentlicht in: | Global ecology and biogeography 2010-11, Vol.19 (6), p.755-768 |
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description | Climate change threatens to shift vegetation, disrupting ecosystems and damaging human well-being. Field observations in boreal, temperate and tropical ecosystems have detected biome changes in the 20th century, yet a lack of spatial data on vulnerability hinders organizations that manage natural resources from identifying priority areas for adaptation measures. We explore potential methods to identify areas vulnerable to vegetation shifts and potential refugia. Global vegetation biomes. We examined nine combinations of three sets of potential indicators of the vulnerability of ecosystems to biome change: (1) observed changes of 20th-century climate, (2) projected 21st-century vegetation changes using the MC1 dynamic global vegetation model under three Intergovernmental Panel on Climate Change (IPCC) emissions scenarios, and (3) overlap of results from (1) and (2). Estimating probability density functions for climate observations and confidence levels for vegetation projections, we classified areas into vulnerability classes based on IPCC treatment of uncertainty. One-tenth to one-half of global land may be highly (confidence 0.80-0.95) to very highly (confidence ≥ 0.95) vulnerable. Temperate mixed forest, boreal conifer and tundra and alpine biomes show the highest vulnerability, often due to potential changes in wildfire. Tropical evergreen broadleaf forest and desert biomes show the lowest vulnerability. Spatial analyses of observed climate and projected vegetation indicate widespread vulnerability of ecosystems to biome change. A mismatch between vulnerability patterns and the geographic priorities of natural resource organizations suggests the need to adapt management plans. Approximately a billion people live in the areas classified as vulnerable. |
doi_str_mv | 10.1111/j.1466-8238.2010.00558.x |
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Field observations in boreal, temperate and tropical ecosystems have detected biome changes in the 20th century, yet a lack of spatial data on vulnerability hinders organizations that manage natural resources from identifying priority areas for adaptation measures. We explore potential methods to identify areas vulnerable to vegetation shifts and potential refugia. Global vegetation biomes. We examined nine combinations of three sets of potential indicators of the vulnerability of ecosystems to biome change: (1) observed changes of 20th-century climate, (2) projected 21st-century vegetation changes using the MC1 dynamic global vegetation model under three Intergovernmental Panel on Climate Change (IPCC) emissions scenarios, and (3) overlap of results from (1) and (2). Estimating probability density functions for climate observations and confidence levels for vegetation projections, we classified areas into vulnerability classes based on IPCC treatment of uncertainty. One-tenth to one-half of global land may be highly (confidence 0.80-0.95) to very highly (confidence ≥ 0.95) vulnerable. Temperate mixed forest, boreal conifer and tundra and alpine biomes show the highest vulnerability, often due to potential changes in wildfire. Tropical evergreen broadleaf forest and desert biomes show the lowest vulnerability. Spatial analyses of observed climate and projected vegetation indicate widespread vulnerability of ecosystems to biome change. A mismatch between vulnerability patterns and the geographic priorities of natural resource organizations suggests the need to adapt management plans. Approximately a billion people live in the areas classified as vulnerable.</description><identifier>ISSN: 1466-822X</identifier><identifier>EISSN: 1466-8238</identifier><identifier>EISSN: 1466-822X</identifier><identifier>DOI: 10.1111/j.1466-8238.2010.00558.x</identifier><language>eng</language><publisher>Oxford, UK: Oxford, UK : Blackwell Publishing Ltd</publisher><subject>Adaptation ; Animal and plant ecology ; Animal, plant and microbial ecology ; Biogeography ; Biological and medical sciences ; biome change ; Biomes ; Climate change ; Climate change adaptation ; Climate models ; Climatology. Bioclimatology. Climate change ; dynamic global vegetation model ; Earth, ocean, space ; Ecosystems ; Exact sciences and technology ; External geophysics ; Fundamental and applied biological sciences. Psychology ; General aspects ; Global climate models ; International environmental cooperation ; Meteorology ; natural resource management ; Pollutant emissions ; Synecology ; Vegetation ; vegetation shifts ; vulnerability</subject><ispartof>Global ecology and biogeography, 2010-11, Vol.19 (6), p.755-768</ispartof><rights>2010 Blackwell Publishing</rights><rights>2010 Blackwell Publishing Ltd</rights><rights>2015 INIST-CNRS</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c5748-2471c8c1b8e09c95201cfa4bbae317a35679f595cd8cdd017f0f03a47a04a31d3</citedby><cites>FETCH-LOGICAL-c5748-2471c8c1b8e09c95201cfa4bbae317a35679f595cd8cdd017f0f03a47a04a31d3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/40928119$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/40928119$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>314,776,780,799,1411,27903,27904,45553,45554,57995,58228</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=23341305$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Gonzalez, Patrick</creatorcontrib><creatorcontrib>Neilson, Ronald P.</creatorcontrib><creatorcontrib>Lenihan, James M.</creatorcontrib><creatorcontrib>Drapek, Raymond J.</creatorcontrib><title>Global patterns in the vulnerability of ecosystems to vegetation shifts due to climate change</title><title>Global ecology and biogeography</title><description>Climate change threatens to shift vegetation, disrupting ecosystems and damaging human well-being. Field observations in boreal, temperate and tropical ecosystems have detected biome changes in the 20th century, yet a lack of spatial data on vulnerability hinders organizations that manage natural resources from identifying priority areas for adaptation measures. We explore potential methods to identify areas vulnerable to vegetation shifts and potential refugia. Global vegetation biomes. We examined nine combinations of three sets of potential indicators of the vulnerability of ecosystems to biome change: (1) observed changes of 20th-century climate, (2) projected 21st-century vegetation changes using the MC1 dynamic global vegetation model under three Intergovernmental Panel on Climate Change (IPCC) emissions scenarios, and (3) overlap of results from (1) and (2). Estimating probability density functions for climate observations and confidence levels for vegetation projections, we classified areas into vulnerability classes based on IPCC treatment of uncertainty. One-tenth to one-half of global land may be highly (confidence 0.80-0.95) to very highly (confidence ≥ 0.95) vulnerable. Temperate mixed forest, boreal conifer and tundra and alpine biomes show the highest vulnerability, often due to potential changes in wildfire. Tropical evergreen broadleaf forest and desert biomes show the lowest vulnerability. Spatial analyses of observed climate and projected vegetation indicate widespread vulnerability of ecosystems to biome change. A mismatch between vulnerability patterns and the geographic priorities of natural resource organizations suggests the need to adapt management plans. Approximately a billion people live in the areas classified as vulnerable.</description><subject>Adaptation</subject><subject>Animal and plant ecology</subject><subject>Animal, plant and microbial ecology</subject><subject>Biogeography</subject><subject>Biological and medical sciences</subject><subject>biome change</subject><subject>Biomes</subject><subject>Climate change</subject><subject>Climate change adaptation</subject><subject>Climate models</subject><subject>Climatology. Bioclimatology. Climate change</subject><subject>dynamic global vegetation model</subject><subject>Earth, ocean, space</subject><subject>Ecosystems</subject><subject>Exact sciences and technology</subject><subject>External geophysics</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>General aspects</subject><subject>Global climate models</subject><subject>International environmental cooperation</subject><subject>Meteorology</subject><subject>natural resource management</subject><subject>Pollutant emissions</subject><subject>Synecology</subject><subject>Vegetation</subject><subject>vegetation shifts</subject><subject>vulnerability</subject><issn>1466-822X</issn><issn>1466-8238</issn><issn>1466-822X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><recordid>eNqNUcGO0zAUjBBILAufgPAFcUqxYztxJC5QlgKq4MCuFiEh68WxWxc3Lra7tH-PQ1Y544uf3sy8eR4XBSJ4QfJ5vVsQVtelqKhYVDh3MeZcLE4PiosZeDjX1ffHxZMYdzizGK8vip8r5ztw6AAp6TBEZAeUthrdHd2gA3TW2XRG3iCtfDzHpPcRJY_u9EYnSNYPKG6tSRH1Rz0Cytk9JI3UFoaNflo8MuCifnZ_XxY3H66ulx_L9dfVp-Xbdal4w0RZsYYooUgnNG5Vy_M7lAHWdaApaYDyumkNb7nqhep7TBqDDabAGsAMKOnpZfFqmnsI_vdRxyT3NirtHAzaH6MUNaYtZoRnppiYKvgYgzbyEPLG4SwJlmOgcifHrOSYmxwDlf8ClacsfXlvAlGBMwEGZeOsryhlhOLR4s3E-2OdPv_3fLm6epeLLH8-yXcx-TDLGW4rQUib8XLCbf6N04xD-CXrhjZc3n5ZyeX69sd1u_ws32f-i4lvwEvYhLzyzbdsTDERbcNaRv8Cgbyrzw</recordid><startdate>201011</startdate><enddate>201011</enddate><creator>Gonzalez, Patrick</creator><creator>Neilson, Ronald P.</creator><creator>Lenihan, James M.</creator><creator>Drapek, Raymond J.</creator><general>Oxford, UK : Blackwell Publishing Ltd</general><general>Blackwell Publishing Ltd</general><general>Blackwell Publishing</general><general>Blackwell</general><scope>FBQ</scope><scope>BSCLL</scope><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SN</scope><scope>7ST</scope><scope>7U6</scope><scope>C1K</scope></search><sort><creationdate>201011</creationdate><title>Global patterns in the vulnerability of ecosystems to vegetation shifts due to climate change</title><author>Gonzalez, Patrick ; Neilson, Ronald P. ; Lenihan, James M. ; Drapek, Raymond J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c5748-2471c8c1b8e09c95201cfa4bbae317a35679f595cd8cdd017f0f03a47a04a31d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Adaptation</topic><topic>Animal and plant ecology</topic><topic>Animal, plant and microbial ecology</topic><topic>Biogeography</topic><topic>Biological and medical sciences</topic><topic>biome change</topic><topic>Biomes</topic><topic>Climate change</topic><topic>Climate change adaptation</topic><topic>Climate models</topic><topic>Climatology. Bioclimatology. Climate change</topic><topic>dynamic global vegetation model</topic><topic>Earth, ocean, space</topic><topic>Ecosystems</topic><topic>Exact sciences and technology</topic><topic>External geophysics</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>General aspects</topic><topic>Global climate models</topic><topic>International environmental cooperation</topic><topic>Meteorology</topic><topic>natural resource management</topic><topic>Pollutant emissions</topic><topic>Synecology</topic><topic>Vegetation</topic><topic>vegetation shifts</topic><topic>vulnerability</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gonzalez, Patrick</creatorcontrib><creatorcontrib>Neilson, Ronald P.</creatorcontrib><creatorcontrib>Lenihan, James M.</creatorcontrib><creatorcontrib>Drapek, Raymond J.</creatorcontrib><collection>AGRIS</collection><collection>Istex</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Ecology Abstracts</collection><collection>Environment Abstracts</collection><collection>Sustainability Science Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><jtitle>Global ecology and biogeography</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gonzalez, Patrick</au><au>Neilson, Ronald P.</au><au>Lenihan, James M.</au><au>Drapek, Raymond J.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Global patterns in the vulnerability of ecosystems to vegetation shifts due to climate change</atitle><jtitle>Global ecology and biogeography</jtitle><date>2010-11</date><risdate>2010</risdate><volume>19</volume><issue>6</issue><spage>755</spage><epage>768</epage><pages>755-768</pages><issn>1466-822X</issn><eissn>1466-8238</eissn><eissn>1466-822X</eissn><abstract>Climate change threatens to shift vegetation, disrupting ecosystems and damaging human well-being. Field observations in boreal, temperate and tropical ecosystems have detected biome changes in the 20th century, yet a lack of spatial data on vulnerability hinders organizations that manage natural resources from identifying priority areas for adaptation measures. We explore potential methods to identify areas vulnerable to vegetation shifts and potential refugia. Global vegetation biomes. We examined nine combinations of three sets of potential indicators of the vulnerability of ecosystems to biome change: (1) observed changes of 20th-century climate, (2) projected 21st-century vegetation changes using the MC1 dynamic global vegetation model under three Intergovernmental Panel on Climate Change (IPCC) emissions scenarios, and (3) overlap of results from (1) and (2). Estimating probability density functions for climate observations and confidence levels for vegetation projections, we classified areas into vulnerability classes based on IPCC treatment of uncertainty. One-tenth to one-half of global land may be highly (confidence 0.80-0.95) to very highly (confidence ≥ 0.95) vulnerable. Temperate mixed forest, boreal conifer and tundra and alpine biomes show the highest vulnerability, often due to potential changes in wildfire. Tropical evergreen broadleaf forest and desert biomes show the lowest vulnerability. Spatial analyses of observed climate and projected vegetation indicate widespread vulnerability of ecosystems to biome change. A mismatch between vulnerability patterns and the geographic priorities of natural resource organizations suggests the need to adapt management plans. Approximately a billion people live in the areas classified as vulnerable.</abstract><cop>Oxford, UK</cop><pub>Oxford, UK : Blackwell Publishing Ltd</pub><doi>10.1111/j.1466-8238.2010.00558.x</doi><tpages>14</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adaptation Animal and plant ecology Animal, plant and microbial ecology Biogeography Biological and medical sciences biome change Biomes Climate change Climate change adaptation Climate models Climatology. Bioclimatology. Climate change dynamic global vegetation model Earth, ocean, space Ecosystems Exact sciences and technology External geophysics Fundamental and applied biological sciences. Psychology General aspects Global climate models International environmental cooperation Meteorology natural resource management Pollutant emissions Synecology Vegetation vegetation shifts vulnerability |
title | Global patterns in the vulnerability of ecosystems to vegetation shifts due to climate change |
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