Satellite-derived foresummer drought sensitivity of plant productivity in Rocky Mountain headwater catchments: spatial heterogeneity and geological-geomorphological control
Long-term plot-scale studies have found water limitation to be a key factor driving ecosystem productivity in the Rocky Mountains. Specifically, the intensity of early summer (the 'foresummer' period from May to June) drought conditions appears to impose critical controls on peak ecosystem...
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creator | Wainwright, Haruko M Steefel, Christoph Trutner, Sarah D Henderson, Amanda N Nikolopoulos, Efthymios I Wilmer, Chelsea F Chadwick, K Dana Falco, Nicola Schaettle, Karl Bernard Brown, James Bentley Steltzer, Heidi Williams, Kenneth H Hubbard, Susan S Enquist, Brian J |
description | Long-term plot-scale studies have found water limitation to be a key factor driving ecosystem productivity in the Rocky Mountains. Specifically, the intensity of early summer (the 'foresummer' period from May to June) drought conditions appears to impose critical controls on peak ecosystem productivity. This study aims to (1) assess the importance of early snowmelt and foresummer drought in controlling peak plant productivity, based on the historical Landsat normalized-difference vegetation index (NDVI) and climate data; (2) map the spatial heterogeneity of foresummer drought sensitivity; and (3) identify the environmental controls (e.g. geomorphology, elevation, geology, plant types) on drought sensitivity. Our domain (15 × 15 km) includes four drainages within the East Water watershed near Gothic, Colorado, USA. We define foresummer drought sensitivity based on the regression slopes of the annual peak NDVI against the June Palmer Drought Severity Index between 1992 and 2010. Results show that foresummer drought sensitivity is spatially heterogeneous, and primarily dependent on the plant type and elevation. In support of the plot-based studies, we find that years with earlier snowmelt and drier foresummer conditions lead to lower peak NDVI; particularly in the low-elevation regions. Using random forest analysis, we identify additional key controls related to surface energy exchanges (i.e. potential net radiation), hydrological processes (i.e. microtopography and slope), and underlying geology. This remote-sensing-based approach for quantifying foresummer drought sensitivity can be used to identify the regions that are vulnerable or resilient to climate perturbations, as well as to inform future sampling, characterization, and modeling studies. |
doi_str_mv | 10.1088/1748-9326/ab8fd0 |
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Specifically, the intensity of early summer (the 'foresummer' period from May to June) drought conditions appears to impose critical controls on peak ecosystem productivity. This study aims to (1) assess the importance of early snowmelt and foresummer drought in controlling peak plant productivity, based on the historical Landsat normalized-difference vegetation index (NDVI) and climate data; (2) map the spatial heterogeneity of foresummer drought sensitivity; and (3) identify the environmental controls (e.g. geomorphology, elevation, geology, plant types) on drought sensitivity. Our domain (15 × 15 km) includes four drainages within the East Water watershed near Gothic, Colorado, USA. We define foresummer drought sensitivity based on the regression slopes of the annual peak NDVI against the June Palmer Drought Severity Index between 1992 and 2010. Results show that foresummer drought sensitivity is spatially heterogeneous, and primarily dependent on the plant type and elevation. In support of the plot-based studies, we find that years with earlier snowmelt and drier foresummer conditions lead to lower peak NDVI; particularly in the low-elevation regions. Using random forest analysis, we identify additional key controls related to surface energy exchanges (i.e. potential net radiation), hydrological processes (i.e. microtopography and slope), and underlying geology. This remote-sensing-based approach for quantifying foresummer drought sensitivity can be used to identify the regions that are vulnerable or resilient to climate perturbations, as well as to inform future sampling, characterization, and modeling studies.</description><identifier>ISSN: 1748-9326</identifier><identifier>EISSN: 1748-9326</identifier><identifier>DOI: 10.1088/1748-9326/ab8fd0</identifier><identifier>CODEN: ERLNAL</identifier><language>eng</language><publisher>Bristol: IOP Publishing</publisher><subject>Catchments ; Climate models ; Climatic data ; Drought ; Elevation ; ENVIRONMENTAL SCIENCES ; foresummer drought sensitivity ; Geology ; Geomorphology ; Heterogeneity ; Hydrology ; Landsat ; Landsat satellites ; Mountains ; NDVI ; Net radiation ; Normalized difference vegetative index ; Perturbation ; Productivity ; Radiation ; random forest ; Remote sensing ; Rocky Mountains ; Satellites ; Sensitivity ; Snowmelt ; Spatial heterogeneity ; Surface energy ; Surface properties</subject><ispartof>Environmental research letters, 2020-08, Vol.15 (8), p.84018</ispartof><rights>2020 The Author(s). Published by IOP Publishing Ltd</rights><rights>Copyright IOP Publishing Aug 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-a490t-ca230c2bcf79457eb0d21d0c3456bcb526fee7b8f210a2cd16c9f8e64a1a1aa83</cites><orcidid>0000-0002-2140-6072 ; 0000-0002-5633-4865 ; 0000000221406072 ; 0000000256334865</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://iopscience.iop.org/article/10.1088/1748-9326/ab8fd0/pdf$$EPDF$$P50$$Giop$$Hfree_for_read</linktopdf><link.rule.ids>230,314,780,784,864,885,2102,27924,27925,38868,38890,53840,53867</link.rule.ids><backlink>$$Uhttps://www.osti.gov/biblio/1642334$$D View this record in Osti.gov$$Hfree_for_read</backlink></links><search><creatorcontrib>Wainwright, Haruko M</creatorcontrib><creatorcontrib>Steefel, Christoph</creatorcontrib><creatorcontrib>Trutner, Sarah D</creatorcontrib><creatorcontrib>Henderson, Amanda N</creatorcontrib><creatorcontrib>Nikolopoulos, Efthymios I</creatorcontrib><creatorcontrib>Wilmer, Chelsea F</creatorcontrib><creatorcontrib>Chadwick, K Dana</creatorcontrib><creatorcontrib>Falco, Nicola</creatorcontrib><creatorcontrib>Schaettle, Karl Bernard</creatorcontrib><creatorcontrib>Brown, James Bentley</creatorcontrib><creatorcontrib>Steltzer, Heidi</creatorcontrib><creatorcontrib>Williams, Kenneth H</creatorcontrib><creatorcontrib>Hubbard, Susan S</creatorcontrib><creatorcontrib>Enquist, Brian J</creatorcontrib><creatorcontrib>Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)</creatorcontrib><title>Satellite-derived foresummer drought sensitivity of plant productivity in Rocky Mountain headwater catchments: spatial heterogeneity and geological-geomorphological control</title><title>Environmental research letters</title><addtitle>ERL</addtitle><addtitle>Environ. Res. Lett</addtitle><description>Long-term plot-scale studies have found water limitation to be a key factor driving ecosystem productivity in the Rocky Mountains. Specifically, the intensity of early summer (the 'foresummer' period from May to June) drought conditions appears to impose critical controls on peak ecosystem productivity. This study aims to (1) assess the importance of early snowmelt and foresummer drought in controlling peak plant productivity, based on the historical Landsat normalized-difference vegetation index (NDVI) and climate data; (2) map the spatial heterogeneity of foresummer drought sensitivity; and (3) identify the environmental controls (e.g. geomorphology, elevation, geology, plant types) on drought sensitivity. Our domain (15 × 15 km) includes four drainages within the East Water watershed near Gothic, Colorado, USA. We define foresummer drought sensitivity based on the regression slopes of the annual peak NDVI against the June Palmer Drought Severity Index between 1992 and 2010. Results show that foresummer drought sensitivity is spatially heterogeneous, and primarily dependent on the plant type and elevation. In support of the plot-based studies, we find that years with earlier snowmelt and drier foresummer conditions lead to lower peak NDVI; particularly in the low-elevation regions. Using random forest analysis, we identify additional key controls related to surface energy exchanges (i.e. potential net radiation), hydrological processes (i.e. microtopography and slope), and underlying geology. This remote-sensing-based approach for quantifying foresummer drought sensitivity can be used to identify the regions that are vulnerable or resilient to climate perturbations, as well as to inform future sampling, characterization, and modeling studies.</description><subject>Catchments</subject><subject>Climate models</subject><subject>Climatic data</subject><subject>Drought</subject><subject>Elevation</subject><subject>ENVIRONMENTAL SCIENCES</subject><subject>foresummer drought sensitivity</subject><subject>Geology</subject><subject>Geomorphology</subject><subject>Heterogeneity</subject><subject>Hydrology</subject><subject>Landsat</subject><subject>Landsat satellites</subject><subject>Mountains</subject><subject>NDVI</subject><subject>Net radiation</subject><subject>Normalized difference vegetative index</subject><subject>Perturbation</subject><subject>Productivity</subject><subject>Radiation</subject><subject>random forest</subject><subject>Remote sensing</subject><subject>Rocky Mountains</subject><subject>Satellites</subject><subject>Sensitivity</subject><subject>Snowmelt</subject><subject>Spatial heterogeneity</subject><subject>Surface energy</subject><subject>Surface properties</subject><issn>1748-9326</issn><issn>1748-9326</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>O3W</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>DOA</sourceid><recordid>eNp1Ustu1TAQjRBIlMKepQULNoTajpP4skMVj0pFSDzW1sQeJ74kcbCdovtP_cj6klJYgLzw-Mw5R55HUTxl9BWjUp6xVshyV_HmDDppDb1XnNxB9_-KHxaPYtxTWou6lSfF9RdIOI4uYWkwuCs0xPqAcZ0mDMQEv_ZDIhHn6JK7culAvCXLCHMiS_Bm1beom8lnr78fyEe_zgnyc0AwP7N5IBqSHiacU3xN4gLJwZizOeN7nPGohtmQHv3oe6dhLHM4-bAMvwGi_ZyCHx8XDyyMEZ_c3qfFt3dvv55_KC8_vb84f3NZgtjRVGrgFdW807bd5Sqxo4YzQ3Ul6qbTXc0bi9jmLnFGgWvDGr2zEhsBLB-Q1WlxsfkaD3u1BDdBOCgPTv0CfOgVhOT0iMq2ta5Mx6XtamGFkCA44s7INrvZFrLXs83Lx-RU1LnTesj1zKiTYo3gVSUy6flGyj39sWJMau_XMOcaFa-FbCve1iyz6MbSwccY0N59jVF1XAJ1nLI6TlltS5AlLzaJ88sfTwyjYrWSikpBmVSLsZn58h_M_xrfAOnExyE</recordid><startdate>20200801</startdate><enddate>20200801</enddate><creator>Wainwright, Haruko M</creator><creator>Steefel, Christoph</creator><creator>Trutner, Sarah D</creator><creator>Henderson, Amanda N</creator><creator>Nikolopoulos, Efthymios I</creator><creator>Wilmer, Chelsea F</creator><creator>Chadwick, K Dana</creator><creator>Falco, Nicola</creator><creator>Schaettle, Karl Bernard</creator><creator>Brown, James Bentley</creator><creator>Steltzer, Heidi</creator><creator>Williams, Kenneth H</creator><creator>Hubbard, Susan S</creator><creator>Enquist, Brian J</creator><general>IOP Publishing</general><scope>O3W</scope><scope>TSCCA</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>L6V</scope><scope>M7S</scope><scope>PATMY</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>OTOTI</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-2140-6072</orcidid><orcidid>https://orcid.org/0000-0002-5633-4865</orcidid><orcidid>https://orcid.org/0000000221406072</orcidid><orcidid>https://orcid.org/0000000256334865</orcidid></search><sort><creationdate>20200801</creationdate><title>Satellite-derived foresummer drought sensitivity of plant productivity in Rocky Mountain headwater catchments: spatial heterogeneity and geological-geomorphological control</title><author>Wainwright, Haruko M ; Steefel, Christoph ; Trutner, Sarah D ; Henderson, Amanda N ; Nikolopoulos, Efthymios I ; Wilmer, Chelsea F ; Chadwick, K Dana ; Falco, Nicola ; Schaettle, Karl Bernard ; Brown, James Bentley ; Steltzer, Heidi ; Williams, Kenneth H ; Hubbard, Susan S ; Enquist, Brian J</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a490t-ca230c2bcf79457eb0d21d0c3456bcb526fee7b8f210a2cd16c9f8e64a1a1aa83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Catchments</topic><topic>Climate models</topic><topic>Climatic data</topic><topic>Drought</topic><topic>Elevation</topic><topic>ENVIRONMENTAL SCIENCES</topic><topic>foresummer drought sensitivity</topic><topic>Geology</topic><topic>Geomorphology</topic><topic>Heterogeneity</topic><topic>Hydrology</topic><topic>Landsat</topic><topic>Landsat satellites</topic><topic>Mountains</topic><topic>NDVI</topic><topic>Net radiation</topic><topic>Normalized difference vegetative index</topic><topic>Perturbation</topic><topic>Productivity</topic><topic>Radiation</topic><topic>random forest</topic><topic>Remote sensing</topic><topic>Rocky Mountains</topic><topic>Satellites</topic><topic>Sensitivity</topic><topic>Snowmelt</topic><topic>Spatial heterogeneity</topic><topic>Surface energy</topic><topic>Surface properties</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wainwright, Haruko M</creatorcontrib><creatorcontrib>Steefel, Christoph</creatorcontrib><creatorcontrib>Trutner, Sarah D</creatorcontrib><creatorcontrib>Henderson, Amanda N</creatorcontrib><creatorcontrib>Nikolopoulos, Efthymios I</creatorcontrib><creatorcontrib>Wilmer, Chelsea F</creatorcontrib><creatorcontrib>Chadwick, K Dana</creatorcontrib><creatorcontrib>Falco, Nicola</creatorcontrib><creatorcontrib>Schaettle, Karl Bernard</creatorcontrib><creatorcontrib>Brown, James Bentley</creatorcontrib><creatorcontrib>Steltzer, Heidi</creatorcontrib><creatorcontrib>Williams, Kenneth H</creatorcontrib><creatorcontrib>Hubbard, Susan S</creatorcontrib><creatorcontrib>Enquist, Brian J</creatorcontrib><creatorcontrib>Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)</creatorcontrib><collection>Institute of Physics Open Access Journal Titles</collection><collection>IOPscience (Open Access)</collection><collection>CrossRef</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>Environmental Science Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>OSTI.GOV</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Environmental research letters</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wainwright, Haruko M</au><au>Steefel, Christoph</au><au>Trutner, Sarah D</au><au>Henderson, Amanda N</au><au>Nikolopoulos, Efthymios I</au><au>Wilmer, Chelsea F</au><au>Chadwick, K Dana</au><au>Falco, Nicola</au><au>Schaettle, Karl Bernard</au><au>Brown, James Bentley</au><au>Steltzer, Heidi</au><au>Williams, Kenneth H</au><au>Hubbard, Susan S</au><au>Enquist, Brian J</au><aucorp>Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Satellite-derived foresummer drought sensitivity of plant productivity in Rocky Mountain headwater catchments: spatial heterogeneity and geological-geomorphological control</atitle><jtitle>Environmental research letters</jtitle><stitle>ERL</stitle><addtitle>Environ. Res. Lett</addtitle><date>2020-08-01</date><risdate>2020</risdate><volume>15</volume><issue>8</issue><spage>84018</spage><pages>84018-</pages><issn>1748-9326</issn><eissn>1748-9326</eissn><coden>ERLNAL</coden><abstract>Long-term plot-scale studies have found water limitation to be a key factor driving ecosystem productivity in the Rocky Mountains. Specifically, the intensity of early summer (the 'foresummer' period from May to June) drought conditions appears to impose critical controls on peak ecosystem productivity. This study aims to (1) assess the importance of early snowmelt and foresummer drought in controlling peak plant productivity, based on the historical Landsat normalized-difference vegetation index (NDVI) and climate data; (2) map the spatial heterogeneity of foresummer drought sensitivity; and (3) identify the environmental controls (e.g. geomorphology, elevation, geology, plant types) on drought sensitivity. Our domain (15 × 15 km) includes four drainages within the East Water watershed near Gothic, Colorado, USA. We define foresummer drought sensitivity based on the regression slopes of the annual peak NDVI against the June Palmer Drought Severity Index between 1992 and 2010. Results show that foresummer drought sensitivity is spatially heterogeneous, and primarily dependent on the plant type and elevation. In support of the plot-based studies, we find that years with earlier snowmelt and drier foresummer conditions lead to lower peak NDVI; particularly in the low-elevation regions. Using random forest analysis, we identify additional key controls related to surface energy exchanges (i.e. potential net radiation), hydrological processes (i.e. microtopography and slope), and underlying geology. This remote-sensing-based approach for quantifying foresummer drought sensitivity can be used to identify the regions that are vulnerable or resilient to climate perturbations, as well as to inform future sampling, characterization, and modeling studies.</abstract><cop>Bristol</cop><pub>IOP Publishing</pub><doi>10.1088/1748-9326/ab8fd0</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0002-2140-6072</orcidid><orcidid>https://orcid.org/0000-0002-5633-4865</orcidid><orcidid>https://orcid.org/0000000221406072</orcidid><orcidid>https://orcid.org/0000000256334865</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Catchments Climate models Climatic data Drought Elevation ENVIRONMENTAL SCIENCES foresummer drought sensitivity Geology Geomorphology Heterogeneity Hydrology Landsat Landsat satellites Mountains NDVI Net radiation Normalized difference vegetative index Perturbation Productivity Radiation random forest Remote sensing Rocky Mountains Satellites Sensitivity Snowmelt Spatial heterogeneity Surface energy Surface properties |
title | Satellite-derived foresummer drought sensitivity of plant productivity in Rocky Mountain headwater catchments: spatial heterogeneity and geological-geomorphological control |
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