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Indicators of Climate Change in Idaho: An Assessment Framework for Coupling Biophysical Change and Social Perception
Climate change is well documented at the global scale, but local and regional changes are not as well understood. Finer, local- to regional-scale information is needed for creating specific, place-based planning and adaption efforts. Here the development of an indicator-focused climate change assess...
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Published in: | Weather, climate, and society climate, and society, 2015-07, Vol.7 (3), p.238-254 |
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creator | Klos, P. Zion Abatzoglou, John T. Bean, Alycia Blades, Jarod Clark, Melissa A. Dodd, Megan Hall, Troy E. Haruch, Amanda Higuera, Philip E. Holbrook, Joseph D. Jansen, Vincent S. Kemp, Kerry Lankford, Amber Link, Timothy E. Magney, Troy Meddens, Arjan J. H. Mitchell, Liza Moore, Brandon Morgan, Penelope Newingham, Beth A. Niemeyer, Ryan J. Soderquist, Ben Suazo, Alexis A. Vierling, Kerri T. Walden, Von Walsh, Chelsea |
description | Climate change is well documented at the global scale, but local and regional changes are not as well understood. Finer, local- to regional-scale information is needed for creating specific, place-based planning and adaption efforts. Here the development of an indicator-focused climate change assessment in Idaho is described. This interdisciplinary framework couples end users’ data needs with observed, biophysical changes at local to regional scales. An online statewide survey of natural resource professionals was conducted to assess the perceived impacts from climate change and determine the biophysical data needed to measure those impacts. Changes to water resources and wildfire risk were the highest areas of concern among resource professionals. Guided by the survey results, 15 biophysical indicator datasets were summarized that included direct climate metrics (e.g., air temperature) and indicators only partially influenced by climate (e.g.,wildfire).Quantitative changes in indicators were determined using time series analysis from 1975 to 2010. Indicators displayed trends of varying likelihood over the analysis period, including increasing growing-season length, increasing annual temperature, increasing forest area burned, changing mountain bluebird and lilac phenology, increasing precipitation intensity, earlier center of timing of streamflow, and decreased 1 April snowpack; changes in volumetric streamflow, salmon migration dates, and stream temperature displayed the least likelihood. A final conceptual framework derived from the social and biophysical data provides an interdisciplinary case example useful for consideration by others when choosing indicators at local to regional scales for climate change assessments. |
doi_str_mv | 10.1175/WCAS-D-13-00070.1 |
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Zion ; Abatzoglou, John T. ; Bean, Alycia ; Blades, Jarod ; Clark, Melissa A. ; Dodd, Megan ; Hall, Troy E. ; Haruch, Amanda ; Higuera, Philip E. ; Holbrook, Joseph D. ; Jansen, Vincent S. ; Kemp, Kerry ; Lankford, Amber ; Link, Timothy E. ; Magney, Troy ; Meddens, Arjan J. H. ; Mitchell, Liza ; Moore, Brandon ; Morgan, Penelope ; Newingham, Beth A. ; Niemeyer, Ryan J. ; Soderquist, Ben ; Suazo, Alexis A. ; Vierling, Kerri T. ; Walden, Von ; Walsh, Chelsea</creator><creatorcontrib>Klos, P. Zion ; Abatzoglou, John T. ; Bean, Alycia ; Blades, Jarod ; Clark, Melissa A. ; Dodd, Megan ; Hall, Troy E. ; Haruch, Amanda ; Higuera, Philip E. ; Holbrook, Joseph D. ; Jansen, Vincent S. ; Kemp, Kerry ; Lankford, Amber ; Link, Timothy E. ; Magney, Troy ; Meddens, Arjan J. H. ; Mitchell, Liza ; Moore, Brandon ; Morgan, Penelope ; Newingham, Beth A. ; Niemeyer, Ryan J. ; Soderquist, Ben ; Suazo, Alexis A. ; Vierling, Kerri T. ; Walden, Von ; Walsh, Chelsea</creatorcontrib><description>Climate change is well documented at the global scale, but local and regional changes are not as well understood. Finer, local- to regional-scale information is needed for creating specific, place-based planning and adaption efforts. Here the development of an indicator-focused climate change assessment in Idaho is described. This interdisciplinary framework couples end users’ data needs with observed, biophysical changes at local to regional scales. An online statewide survey of natural resource professionals was conducted to assess the perceived impacts from climate change and determine the biophysical data needed to measure those impacts. Changes to water resources and wildfire risk were the highest areas of concern among resource professionals. Guided by the survey results, 15 biophysical indicator datasets were summarized that included direct climate metrics (e.g., air temperature) and indicators only partially influenced by climate (e.g.,wildfire).Quantitative changes in indicators were determined using time series analysis from 1975 to 2010. Indicators displayed trends of varying likelihood over the analysis period, including increasing growing-season length, increasing annual temperature, increasing forest area burned, changing mountain bluebird and lilac phenology, increasing precipitation intensity, earlier center of timing of streamflow, and decreased 1 April snowpack; changes in volumetric streamflow, salmon migration dates, and stream temperature displayed the least likelihood. A final conceptual framework derived from the social and biophysical data provides an interdisciplinary case example useful for consideration by others when choosing indicators at local to regional scales for climate change assessments.</description><identifier>ISSN: 1948-8327</identifier><identifier>EISSN: 1948-8335</identifier><identifier>DOI: 10.1175/WCAS-D-13-00070.1</identifier><language>eng</language><publisher>Boston: American Meteorological Society</publisher><subject>Air temperature ; Annual temperatures ; Climate change ; Climate change policy ; Data ; Datasets ; End users ; Entrepreneurs ; Environmental assessment ; Environmental risk ; Experts ; Fish migration ; Forest fires ; Frameworks ; Freshwater fishes ; Growing season ; Indicators ; Measures ; Migration ; Natural resources ; Paleoclimatology ; Precipitation ; Precipitation intensity ; Professionals ; Rainfall intensity ; Regional analysis ; Regional climates ; Regional planning ; Regions ; Resource surveys ; Salmon ; Snowpack ; Social interactions ; Social perception ; Stream discharge ; Stream flow ; Studies ; Surveying ; Temperature control ; Temperature effects ; Time series ; Water resources ; Water supply ; Wildfire seasons ; Wildfires</subject><ispartof>Weather, climate, and society, 2015-07, Vol.7 (3), p.238-254</ispartof><rights>2015 American Meteorological Society</rights><rights>Copyright American Meteorological Society Jul 2015</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/24907455$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/24907455$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>314,780,784,27866,27924,27925,58238,58471</link.rule.ids></links><search><creatorcontrib>Klos, P. Zion</creatorcontrib><creatorcontrib>Abatzoglou, John T.</creatorcontrib><creatorcontrib>Bean, Alycia</creatorcontrib><creatorcontrib>Blades, Jarod</creatorcontrib><creatorcontrib>Clark, Melissa A.</creatorcontrib><creatorcontrib>Dodd, Megan</creatorcontrib><creatorcontrib>Hall, Troy E.</creatorcontrib><creatorcontrib>Haruch, Amanda</creatorcontrib><creatorcontrib>Higuera, Philip E.</creatorcontrib><creatorcontrib>Holbrook, Joseph D.</creatorcontrib><creatorcontrib>Jansen, Vincent S.</creatorcontrib><creatorcontrib>Kemp, Kerry</creatorcontrib><creatorcontrib>Lankford, Amber</creatorcontrib><creatorcontrib>Link, Timothy E.</creatorcontrib><creatorcontrib>Magney, Troy</creatorcontrib><creatorcontrib>Meddens, Arjan J. H.</creatorcontrib><creatorcontrib>Mitchell, Liza</creatorcontrib><creatorcontrib>Moore, Brandon</creatorcontrib><creatorcontrib>Morgan, Penelope</creatorcontrib><creatorcontrib>Newingham, Beth A.</creatorcontrib><creatorcontrib>Niemeyer, Ryan J.</creatorcontrib><creatorcontrib>Soderquist, Ben</creatorcontrib><creatorcontrib>Suazo, Alexis A.</creatorcontrib><creatorcontrib>Vierling, Kerri T.</creatorcontrib><creatorcontrib>Walden, Von</creatorcontrib><creatorcontrib>Walsh, Chelsea</creatorcontrib><title>Indicators of Climate Change in Idaho: An Assessment Framework for Coupling Biophysical Change and Social Perception</title><title>Weather, climate, and society</title><description>Climate change is well documented at the global scale, but local and regional changes are not as well understood. Finer, local- to regional-scale information is needed for creating specific, place-based planning and adaption efforts. Here the development of an indicator-focused climate change assessment in Idaho is described. This interdisciplinary framework couples end users’ data needs with observed, biophysical changes at local to regional scales. An online statewide survey of natural resource professionals was conducted to assess the perceived impacts from climate change and determine the biophysical data needed to measure those impacts. Changes to water resources and wildfire risk were the highest areas of concern among resource professionals. Guided by the survey results, 15 biophysical indicator datasets were summarized that included direct climate metrics (e.g., air temperature) and indicators only partially influenced by climate (e.g.,wildfire).Quantitative changes in indicators were determined using time series analysis from 1975 to 2010. Indicators displayed trends of varying likelihood over the analysis period, including increasing growing-season length, increasing annual temperature, increasing forest area burned, changing mountain bluebird and lilac phenology, increasing precipitation intensity, earlier center of timing of streamflow, and decreased 1 April snowpack; changes in volumetric streamflow, salmon migration dates, and stream temperature displayed the least likelihood. A final conceptual framework derived from the social and biophysical data provides an interdisciplinary case example useful for consideration by others when choosing indicators at local to regional scales for climate change assessments.</description><subject>Air temperature</subject><subject>Annual temperatures</subject><subject>Climate change</subject><subject>Climate change policy</subject><subject>Data</subject><subject>Datasets</subject><subject>End users</subject><subject>Entrepreneurs</subject><subject>Environmental assessment</subject><subject>Environmental risk</subject><subject>Experts</subject><subject>Fish migration</subject><subject>Forest fires</subject><subject>Frameworks</subject><subject>Freshwater fishes</subject><subject>Growing season</subject><subject>Indicators</subject><subject>Measures</subject><subject>Migration</subject><subject>Natural resources</subject><subject>Paleoclimatology</subject><subject>Precipitation</subject><subject>Precipitation intensity</subject><subject>Professionals</subject><subject>Rainfall intensity</subject><subject>Regional analysis</subject><subject>Regional climates</subject><subject>Regional planning</subject><subject>Regions</subject><subject>Resource surveys</subject><subject>Salmon</subject><subject>Snowpack</subject><subject>Social interactions</subject><subject>Social perception</subject><subject>Stream discharge</subject><subject>Stream flow</subject><subject>Studies</subject><subject>Surveying</subject><subject>Temperature control</subject><subject>Temperature effects</subject><subject>Time series</subject><subject>Water resources</subject><subject>Water supply</subject><subject>Wildfire seasons</subject><subject>Wildfires</subject><issn>1948-8327</issn><issn>1948-8335</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>7TQ</sourceid><recordid>eNo9jk1LxDAQhoMouKz7AzwIBfEYnXw3x6V-FRY8qHgsSTN1W9ZmbboH_72BFU_zzsvDzEPIJYNbxoy6-6jWr_SeMkEBwOTyhCyYlSUthVCn_5mbc7JKacgQKGlKzhfkph5D37o5TqmIXVHt-i83Y1Ft3fiJRT8WdXDbeEHOOrdLuPqbS_L--PBWPdPNy1NdrTd04KBmGjouHHruhdYtIoDUAKHFNqjSgOgMMtZ5bSFIY0vAVgTvAlifV49aiCW5Pt7dT_H7gGluhniYxvyyYZZrYzUDmamrIzWk7N3sp-w8_TRcWjBSKfELr9RLmQ</recordid><startdate>20150701</startdate><enddate>20150701</enddate><creator>Klos, P. 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Zion ; Abatzoglou, John T. ; Bean, Alycia ; Blades, Jarod ; Clark, Melissa A. ; Dodd, Megan ; Hall, Troy E. ; Haruch, Amanda ; Higuera, Philip E. ; Holbrook, Joseph D. ; Jansen, Vincent S. ; Kemp, Kerry ; Lankford, Amber ; Link, Timothy E. ; Magney, Troy ; Meddens, Arjan J. H. ; Mitchell, Liza ; Moore, Brandon ; Morgan, Penelope ; Newingham, Beth A. ; Niemeyer, Ryan J. ; Soderquist, Ben ; Suazo, Alexis A. ; Vierling, Kerri T. ; Walden, Von ; Walsh, Chelsea</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-j205t-df23aeb2b366cee004600dcecd58703f7e11fb690d47980ec3dbad09b479be633</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Air temperature</topic><topic>Annual temperatures</topic><topic>Climate change</topic><topic>Climate change policy</topic><topic>Data</topic><topic>Datasets</topic><topic>End users</topic><topic>Entrepreneurs</topic><topic>Environmental assessment</topic><topic>Environmental risk</topic><topic>Experts</topic><topic>Fish migration</topic><topic>Forest fires</topic><topic>Frameworks</topic><topic>Freshwater fishes</topic><topic>Growing season</topic><topic>Indicators</topic><topic>Measures</topic><topic>Migration</topic><topic>Natural resources</topic><topic>Paleoclimatology</topic><topic>Precipitation</topic><topic>Precipitation intensity</topic><topic>Professionals</topic><topic>Rainfall intensity</topic><topic>Regional analysis</topic><topic>Regional climates</topic><topic>Regional planning</topic><topic>Regions</topic><topic>Resource surveys</topic><topic>Salmon</topic><topic>Snowpack</topic><topic>Social interactions</topic><topic>Social perception</topic><topic>Stream discharge</topic><topic>Stream flow</topic><topic>Studies</topic><topic>Surveying</topic><topic>Temperature control</topic><topic>Temperature effects</topic><topic>Time series</topic><topic>Water resources</topic><topic>Water supply</topic><topic>Wildfire seasons</topic><topic>Wildfires</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Klos, P. 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Zion</au><au>Abatzoglou, John T.</au><au>Bean, Alycia</au><au>Blades, Jarod</au><au>Clark, Melissa A.</au><au>Dodd, Megan</au><au>Hall, Troy E.</au><au>Haruch, Amanda</au><au>Higuera, Philip E.</au><au>Holbrook, Joseph D.</au><au>Jansen, Vincent S.</au><au>Kemp, Kerry</au><au>Lankford, Amber</au><au>Link, Timothy E.</au><au>Magney, Troy</au><au>Meddens, Arjan J. H.</au><au>Mitchell, Liza</au><au>Moore, Brandon</au><au>Morgan, Penelope</au><au>Newingham, Beth A.</au><au>Niemeyer, Ryan J.</au><au>Soderquist, Ben</au><au>Suazo, Alexis A.</au><au>Vierling, Kerri T.</au><au>Walden, Von</au><au>Walsh, Chelsea</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Indicators of Climate Change in Idaho: An Assessment Framework for Coupling Biophysical Change and Social Perception</atitle><jtitle>Weather, climate, and society</jtitle><date>2015-07-01</date><risdate>2015</risdate><volume>7</volume><issue>3</issue><spage>238</spage><epage>254</epage><pages>238-254</pages><issn>1948-8327</issn><eissn>1948-8335</eissn><abstract>Climate change is well documented at the global scale, but local and regional changes are not as well understood. Finer, local- to regional-scale information is needed for creating specific, place-based planning and adaption efforts. Here the development of an indicator-focused climate change assessment in Idaho is described. This interdisciplinary framework couples end users’ data needs with observed, biophysical changes at local to regional scales. An online statewide survey of natural resource professionals was conducted to assess the perceived impacts from climate change and determine the biophysical data needed to measure those impacts. Changes to water resources and wildfire risk were the highest areas of concern among resource professionals. Guided by the survey results, 15 biophysical indicator datasets were summarized that included direct climate metrics (e.g., air temperature) and indicators only partially influenced by climate (e.g.,wildfire).Quantitative changes in indicators were determined using time series analysis from 1975 to 2010. Indicators displayed trends of varying likelihood over the analysis period, including increasing growing-season length, increasing annual temperature, increasing forest area burned, changing mountain bluebird and lilac phenology, increasing precipitation intensity, earlier center of timing of streamflow, and decreased 1 April snowpack; changes in volumetric streamflow, salmon migration dates, and stream temperature displayed the least likelihood. A final conceptual framework derived from the social and biophysical data provides an interdisciplinary case example useful for consideration by others when choosing indicators at local to regional scales for climate change assessments.</abstract><cop>Boston</cop><pub>American Meteorological Society</pub><doi>10.1175/WCAS-D-13-00070.1</doi><tpages>17</tpages></addata></record> |
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subjects | Air temperature Annual temperatures Climate change Climate change policy Data Datasets End users Entrepreneurs Environmental assessment Environmental risk Experts Fish migration Forest fires Frameworks Freshwater fishes Growing season Indicators Measures Migration Natural resources Paleoclimatology Precipitation Precipitation intensity Professionals Rainfall intensity Regional analysis Regional climates Regional planning Regions Resource surveys Salmon Snowpack Social interactions Social perception Stream discharge Stream flow Studies Surveying Temperature control Temperature effects Time series Water resources Water supply Wildfire seasons Wildfires |
title | Indicators of Climate Change in Idaho: An Assessment Framework for Coupling Biophysical Change and Social Perception |
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