Tree-mycorrhizal associations detected remotely from canopy spectral properties.
Identifieur interne : 001037 ( Main/Corpus ); précédent : 001036; suivant : 001038Tree-mycorrhizal associations detected remotely from canopy spectral properties.
Auteurs : Joshua B. Fisher ; Sean Sweeney ; Edward R. Brzostek ; Tom P. Evans ; Daniel J. Johnson ; Jonathan A. Myers ; Norman A. Bourg ; Amy T. Wolf ; Robert W. Howe ; Richard P. PhillipsSource :
- Global change biology [ 1365-2486 ] ; 2016.
English descriptors
- KwdEn :
- MESH :
- methods : Ecology.
- microbiology : Trees.
- physiology : Mycorrhizae.
- Forests, Remote Sensing Technology, Satellite Imagery.
Abstract
A central challenge in global ecology is the identification of key functional processes in ecosystems that scale, but do not require, data for individual species across landscapes. Given that nearly all tree species form symbiotic relationships with one of two types of mycorrhizal fungi - arbuscular mycorrhizal (AM) and ectomycorrhizal (ECM) fungi - and that AM- and ECM-dominated forests often have distinct nutrient economies, the detection and mapping of mycorrhizae over large areas could provide valuable insights about fundamental ecosystem processes such as nutrient cycling, species interactions, and overall forest productivity. We explored remotely sensed tree canopy spectral properties to detect underlying mycorrhizal association across a gradient of AM- and ECM-dominated forest plots. Statistical mining of reflectance and reflectance derivatives across moderate/high-resolution Landsat data revealed distinctly unique phenological signals that differentiated AM and ECM associations. This approach was trained and validated against measurements of tree species and mycorrhizal association across ~130 000 trees throughout the temperate United States. We were able to predict 77% of the variation in mycorrhizal association distribution within the forest plots (P < 0.001). The implications for this work move us toward mapping mycorrhizal association globally and advancing our understanding of biogeochemical cycling and other ecosystem processes.
DOI: 10.1111/gcb.13264
PubMed: 27282323
Links to Exploration step
pubmed:27282323Le document en format XML
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Fisher</name><affiliation><nlm:affiliation>Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Drive, Pasadena, CA, 91109, USA.</nlm:affiliation></affiliation><affiliation><nlm:affiliation>Joint Institute for Regional Earth System Science and Engineering, University of California at Los Angeles, 607 Charles E Young Drive East, Young Hall #4242, Los Angeles, CA, 90095-7228, USA.</nlm:affiliation></affiliation></author><author><name sortKey="Sweeney, Sean" sort="Sweeney, Sean" uniqKey="Sweeney S" first="Sean" last="Sweeney">Sean Sweeney</name><affiliation><nlm:affiliation>Center for the Study of Institutions, Populations, and Environmental Change (CIPEC), Indiana University, Bloomington, Indiana, 47408, USA.</nlm:affiliation></affiliation></author><author><name sortKey="Brzostek, Edward R" sort="Brzostek, Edward R" uniqKey="Brzostek E" first="Edward R" last="Brzostek">Edward R. Brzostek</name><affiliation><nlm:affiliation>Department of Biology, West Virginia University, 53 Campus Drive, Morgantown, WV, 26506, USA.</nlm:affiliation></affiliation></author><author><name sortKey="Evans, Tom P" sort="Evans, Tom P" uniqKey="Evans T" first="Tom P" last="Evans">Tom P. Evans</name><affiliation><nlm:affiliation>Center for the Study of Institutions, Populations, and Environmental Change (CIPEC), Indiana University, Bloomington, Indiana, 47408, USA.</nlm:affiliation></affiliation><affiliation><nlm:affiliation>Department of Geography, Indiana University, Student Building 120, Bloomington, IN, 47405, USA.</nlm:affiliation></affiliation></author><author><name sortKey="Johnson, Daniel J" sort="Johnson, Daniel J" uniqKey="Johnson D" first="Daniel J" last="Johnson">Daniel J. 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Fisher</name><affiliation><nlm:affiliation>Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Drive, Pasadena, CA, 91109, USA.</nlm:affiliation></affiliation><affiliation><nlm:affiliation>Joint Institute for Regional Earth System Science and Engineering, University of California at Los Angeles, 607 Charles E Young Drive East, Young Hall #4242, Los Angeles, CA, 90095-7228, USA.</nlm:affiliation></affiliation></author><author><name sortKey="Sweeney, Sean" sort="Sweeney, Sean" uniqKey="Sweeney S" first="Sean" last="Sweeney">Sean Sweeney</name><affiliation><nlm:affiliation>Center for the Study of Institutions, Populations, and Environmental Change (CIPEC), Indiana University, Bloomington, Indiana, 47408, USA.</nlm:affiliation></affiliation></author><author><name sortKey="Brzostek, Edward R" sort="Brzostek, Edward R" uniqKey="Brzostek E" first="Edward R" last="Brzostek">Edward R. Brzostek</name><affiliation><nlm:affiliation>Department of Biology, West Virginia University, 53 Campus Drive, Morgantown, WV, 26506, USA.</nlm:affiliation></affiliation></author><author><name sortKey="Evans, Tom P" sort="Evans, Tom P" uniqKey="Evans T" first="Tom P" last="Evans">Tom P. Evans</name><affiliation><nlm:affiliation>Center for the Study of Institutions, Populations, and Environmental Change (CIPEC), Indiana University, Bloomington, Indiana, 47408, USA.</nlm:affiliation></affiliation><affiliation><nlm:affiliation>Department of Geography, Indiana University, Student Building 120, Bloomington, IN, 47405, USA.</nlm:affiliation></affiliation></author><author><name sortKey="Johnson, Daniel J" sort="Johnson, Daniel J" uniqKey="Johnson D" first="Daniel J" last="Johnson">Daniel J. Johnson</name><affiliation><nlm:affiliation>Yale School of Forestry and Environmental Studies, Kroon Hall, 195 Prospect St., New Haven, CT, 06511, USA.</nlm:affiliation></affiliation></author><author><name sortKey="Myers, Jonathan A" sort="Myers, Jonathan A" uniqKey="Myers J" first="Jonathan A" last="Myers">Jonathan A. Myers</name><affiliation><nlm:affiliation>Department of Biology, Washington University in St. Louis, Saint Louis, MO, 63130, USA.</nlm:affiliation></affiliation></author><author><name sortKey="Bourg, Norman A" sort="Bourg, Norman A" uniqKey="Bourg N" first="Norman A" last="Bourg">Norman A. Bourg</name><affiliation><nlm:affiliation>Conservation Ecology Center, Smithsonian Conservation Biology Institute, National Zoological Park, 1500 Remount Road, Front Royal, VA, 22630, USA.</nlm:affiliation></affiliation><affiliation><nlm:affiliation>U.S. Geological Survey, National Research Program - Eastern Branch, 12201 Sunrise Valley Drive, Reston, VA, MS430, USA.</nlm:affiliation></affiliation></author><author><name sortKey="Wolf, Amy T" sort="Wolf, Amy T" uniqKey="Wolf A" first="Amy T" last="Wolf">Amy T. Wolf</name><affiliation><nlm:affiliation>Department of Natural and Applied Sciences and Cofrin Center for Biodiversity, University of Wisconsin-Green Bay, 2420 Nicolet Drive, Green Bay, WI, 54311, USA.</nlm:affiliation></affiliation></author><author><name sortKey="Howe, Robert W" sort="Howe, Robert W" uniqKey="Howe R" first="Robert W" last="Howe">Robert W. Howe</name><affiliation><nlm:affiliation>Department of Natural and Applied Sciences and Cofrin Center for Biodiversity, University of Wisconsin-Green Bay, 2420 Nicolet Drive, Green Bay, WI, 54311, USA.</nlm:affiliation></affiliation></author><author><name sortKey="Phillips, Richard P" sort="Phillips, Richard P" uniqKey="Phillips R" first="Richard P" last="Phillips">Richard P. Phillips</name><affiliation><nlm:affiliation>Department of Biology, Indiana University, 247 Jordan Hall, 1001 E. Third St., Bloomington, IN, 47405, USA.</nlm:affiliation></affiliation></author></analytic><series><title level="j">Global change biology</title><idno type="eISSN">1365-2486</idno><imprint><date when="2016" type="published">2016</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Ecology (methods)</term><term>Forests (MeSH)</term><term>Mycorrhizae (physiology)</term><term>Remote Sensing Technology (MeSH)</term><term>Satellite Imagery (MeSH)</term><term>Trees (microbiology)</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Ecology</term></keywords><keywords scheme="MESH" qualifier="microbiology" xml:lang="en"><term>Trees</term></keywords><keywords scheme="MESH" qualifier="physiology" xml:lang="en"><term>Mycorrhizae</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Forests</term><term>Remote Sensing Technology</term><term>Satellite Imagery</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">A central challenge in global ecology is the identification of key functional processes in ecosystems that scale, but do not require, data for individual species across landscapes. Given that nearly all tree species form symbiotic relationships with one of two types of mycorrhizal fungi - arbuscular mycorrhizal (AM) and ectomycorrhizal (ECM) fungi - and that AM- and ECM-dominated forests often have distinct nutrient economies, the detection and mapping of mycorrhizae over large areas could provide valuable insights about fundamental ecosystem processes such as nutrient cycling, species interactions, and overall forest productivity. We explored remotely sensed tree canopy spectral properties to detect underlying mycorrhizal association across a gradient of AM- and ECM-dominated forest plots. Statistical mining of reflectance and reflectance derivatives across moderate/high-resolution Landsat data revealed distinctly unique phenological signals that differentiated AM and ECM associations. This approach was trained and validated against measurements of tree species and mycorrhizal association across ~130 000 trees throughout the temperate United States. We were able to predict 77% of the variation in mycorrhizal association distribution within the forest plots (P < 0.001). The implications for this work move us toward mapping mycorrhizal association globally and advancing our understanding of biogeochemical cycling and other ecosystem processes.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" IndexingMethod="Curated" Owner="NLM"><PMID Version="1">27282323</PMID><DateCompleted><Year>2017</Year><Month>08</Month><Day>02</Day></DateCompleted><DateRevised><Year>2018</Year><Month>12</Month><Day>02</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1365-2486</ISSN><JournalIssue CitedMedium="Internet"><Volume>22</Volume><Issue>7</Issue><PubDate><Year>2016</Year><Month>07</Month></PubDate></JournalIssue><Title>Global change biology</Title><ISOAbbreviation>Glob Chang Biol</ISOAbbreviation></Journal><ArticleTitle>Tree-mycorrhizal associations detected remotely from canopy spectral properties.</ArticleTitle><Pagination><MedlinePgn>2596-607</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1111/gcb.13264</ELocationID><Abstract><AbstractText>A central challenge in global ecology is the identification of key functional processes in ecosystems that scale, but do not require, data for individual species across landscapes. Given that nearly all tree species form symbiotic relationships with one of two types of mycorrhizal fungi - arbuscular mycorrhizal (AM) and ectomycorrhizal (ECM) fungi - and that AM- and ECM-dominated forests often have distinct nutrient economies, the detection and mapping of mycorrhizae over large areas could provide valuable insights about fundamental ecosystem processes such as nutrient cycling, species interactions, and overall forest productivity. We explored remotely sensed tree canopy spectral properties to detect underlying mycorrhizal association across a gradient of AM- and ECM-dominated forest plots. Statistical mining of reflectance and reflectance derivatives across moderate/high-resolution Landsat data revealed distinctly unique phenological signals that differentiated AM and ECM associations. This approach was trained and validated against measurements of tree species and mycorrhizal association across ~130 000 trees throughout the temperate United States. We were able to predict 77% of the variation in mycorrhizal association distribution within the forest plots (P < 0.001). The implications for this work move us toward mapping mycorrhizal association globally and advancing our understanding of biogeochemical cycling and other ecosystem processes.</AbstractText><CopyrightInformation>© 2016 John Wiley & Sons Ltd.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Fisher</LastName><ForeName>Joshua B</ForeName><Initials>JB</Initials><AffiliationInfo><Affiliation>Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Drive, Pasadena, CA, 91109, USA.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Joint Institute for Regional Earth System Science and Engineering, University of California at Los Angeles, 607 Charles E Young Drive East, Young Hall #4242, Los Angeles, CA, 90095-7228, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Sweeney</LastName><ForeName>Sean</ForeName><Initials>S</Initials><AffiliationInfo><Affiliation>Center for the Study of Institutions, Populations, and Environmental Change (CIPEC), Indiana University, Bloomington, Indiana, 47408, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Brzostek</LastName><ForeName>Edward R</ForeName><Initials>ER</Initials><AffiliationInfo><Affiliation>Department of Biology, West Virginia University, 53 Campus Drive, Morgantown, WV, 26506, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Evans</LastName><ForeName>Tom P</ForeName><Initials>TP</Initials><AffiliationInfo><Affiliation>Center for the Study of Institutions, Populations, and Environmental Change (CIPEC), Indiana University, Bloomington, Indiana, 47408, USA.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Department of Geography, Indiana University, Student Building 120, Bloomington, IN, 47405, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Johnson</LastName><ForeName>Daniel J</ForeName><Initials>DJ</Initials><AffiliationInfo><Affiliation>Yale School of Forestry and Environmental Studies, Kroon Hall, 195 Prospect St., New Haven, CT, 06511, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Myers</LastName><ForeName>Jonathan A</ForeName><Initials>JA</Initials><AffiliationInfo><Affiliation>Department of Biology, Washington University in St. Louis, Saint Louis, MO, 63130, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Bourg</LastName><ForeName>Norman A</ForeName><Initials>NA</Initials><AffiliationInfo><Affiliation>Conservation Ecology Center, Smithsonian Conservation Biology Institute, National Zoological Park, 1500 Remount Road, Front Royal, VA, 22630, USA.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>U.S. Geological Survey, National Research Program - Eastern Branch, 12201 Sunrise Valley Drive, Reston, VA, MS430, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Wolf</LastName><ForeName>Amy T</ForeName><Initials>AT</Initials><AffiliationInfo><Affiliation>Department of Natural and Applied Sciences and Cofrin Center for Biodiversity, University of Wisconsin-Green Bay, 2420 Nicolet Drive, Green Bay, WI, 54311, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Howe</LastName><ForeName>Robert W</ForeName><Initials>RW</Initials><AffiliationInfo><Affiliation>Department of Natural and Applied Sciences and Cofrin Center for Biodiversity, University of Wisconsin-Green Bay, 2420 Nicolet Drive, Green Bay, WI, 54311, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Phillips</LastName><ForeName>Richard P</ForeName><Initials>RP</Initials><AffiliationInfo><Affiliation>Department of Biology, Indiana University, 247 Jordan Hall, 1001 E. Third St., Bloomington, IN, 47405, USA.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2016</Year><Month>04</Month><Day>20</Day></ArticleDate></Article><MedlineJournalInfo><Country>England</Country><MedlineTA>Glob Chang Biol</MedlineTA><NlmUniqueID>9888746</NlmUniqueID><ISSNLinking>1354-1013</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D004463" MajorTopicYN="N">Ecology</DescriptorName><QualifierName UI="Q000379" MajorTopicYN="Y">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D065928" MajorTopicYN="Y">Forests</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D038821" MajorTopicYN="N">Mycorrhizae</DescriptorName><QualifierName UI="Q000502" MajorTopicYN="Y">physiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D058998" MajorTopicYN="N">Remote Sensing Technology</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D063809" MajorTopicYN="N">Satellite Imagery</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D014197" MajorTopicYN="N">Trees</DescriptorName><QualifierName UI="Q000382" MajorTopicYN="Y">microbiology</QualifierName></MeshHeading></MeshHeadingList><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="Y">canopy</Keyword><Keyword MajorTopicYN="Y">landscape</Keyword><Keyword MajorTopicYN="Y">mycorrhizae</Keyword><Keyword MajorTopicYN="Y">nutrients</Keyword><Keyword MajorTopicYN="Y">remote sensing</Keyword><Keyword MajorTopicYN="Y">species</Keyword><Keyword MajorTopicYN="Y">spectral</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2015</Year><Month>04</Month><Day>06</Day></PubMedPubDate><PubMedPubDate PubStatus="revised"><Year>2016</Year><Month>01</Month><Day>27</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2016</Year><Month>02</Month><Day>19</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2016</Year><Month>6</Month><Day>11</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2016</Year><Month>6</Month><Day>11</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2017</Year><Month>8</Month><Day>3</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">27282323</ArticleId><ArticleId IdType="doi">10.1111/gcb.13264</ArticleId></ArticleIdList></PubmedData></pubmed></record>Pour manipuler ce document sous Unix (Dilib)
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