Imaging spectroscopy links aspen genotype with below-ground processes at landscape scales.
Identifieur interne : 002171 ( Main/Exploration ); précédent : 002170; suivant : 002172Imaging spectroscopy links aspen genotype with below-ground processes at landscape scales.
Auteurs : Michael D. Madritch [États-Unis] ; Clayton C. Kingdon ; Aditya Singh ; Karen E. Mock ; Richard L. Lindroth ; Philip A. TownsendSource :
- Philosophical transactions of the Royal Society of London. Series B, Biological sciences [ 1471-2970 ] ; 2014.
Descripteurs français
- KwdFr :
- ADN des plantes (composition chimique), ADN des plantes (génétique), Amérique du Nord (MeSH), Analyse discriminante (MeSH), Feuilles de plante (composition chimique), Feuilles de plante (génétique), Génotype (MeSH), Imagerie satellitaire (méthodes), Lignine (analyse), Microbiologie du sol (MeSH), Populus (composition chimique), Populus (génétique), Répétitions microsatellites (génétique), Sol (composition chimique), Variation génétique (génétique), Écosystème (MeSH).
- MESH :
- analyse : Lignine.
- composition chimique : ADN des plantes, Feuilles de plante, Populus, Sol.
- génétique : ADN des plantes, Feuilles de plante, Populus, Répétitions microsatellites, Variation génétique.
- méthodes : Imagerie satellitaire.
- Amérique du Nord, Analyse discriminante, Génotype, Microbiologie du sol, Écosystème.
English descriptors
- KwdEn :
- DNA, Plant (chemistry), DNA, Plant (genetics), Discriminant Analysis (MeSH), Ecosystem (MeSH), Genetic Variation (genetics), Genotype (MeSH), Lignin (analysis), Microsatellite Repeats (genetics), North America (MeSH), Plant Leaves (chemistry), Plant Leaves (genetics), Populus (chemistry), Populus (genetics), Satellite Imagery (methods), Soil (chemistry), Soil Microbiology (MeSH).
- MESH :
- chemical , analysis : Lignin.
- chemical , chemistry : DNA, Plant, Soil.
- chemical , genetics : DNA, Plant.
- chemistry : Plant Leaves, Populus.
- genetics : Genetic Variation, Microsatellite Repeats, Plant Leaves, Populus.
- methods : Satellite Imagery.
- Discriminant Analysis, Ecosystem, Genotype, North America, Soil Microbiology.
Abstract
Fine-scale biodiversity is increasingly recognized as important to ecosystem-level processes. Remote sensing technologies have great potential to estimate both biodiversity and ecosystem function over large spatial scales. Here, we demonstrate the capacity of imaging spectroscopy to discriminate among genotypes of Populus tremuloides (trembling aspen), one of the most genetically diverse and widespread forest species in North America. We combine imaging spectroscopy (AVIRIS) data with genetic, phytochemical, microbial and biogeochemical data to determine how intraspecific plant genetic variation influences below-ground processes at landscape scales. We demonstrate that both canopy chemistry and below-ground processes vary over large spatial scales (continental) according to aspen genotype. Imaging spectrometer data distinguish aspen genotypes through variation in canopy spectral signature. In addition, foliar spectral variation correlates well with variation in canopy chemistry, especially condensed tannins. Variation in aspen canopy chemistry, in turn, is correlated with variation in below-ground processes. Variation in spectra also correlates well with variation in soil traits. These findings indicate that forest tree species can create spatial mosaics of ecosystem functioning across large spatial scales and that these patterns can be quantified via remote sensing techniques. Moreover, they demonstrate the utility of using optical properties as proxies for fine-scale measurements of biodiversity over large spatial scales.
DOI: 10.1098/rstb.2013.0194
PubMed: 24733949
PubMed Central: PMC3983929
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
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Remote sensing technologies have great potential to estimate both biodiversity and ecosystem function over large spatial scales. Here, we demonstrate the capacity of imaging spectroscopy to discriminate among genotypes of Populus tremuloides (trembling aspen), one of the most genetically diverse and widespread forest species in North America. We combine imaging spectroscopy (AVIRIS) data with genetic, phytochemical, microbial and biogeochemical data to determine how intraspecific plant genetic variation influences below-ground processes at landscape scales. We demonstrate that both canopy chemistry and below-ground processes vary over large spatial scales (continental) according to aspen genotype. Imaging spectrometer data distinguish aspen genotypes through variation in canopy spectral signature. In addition, foliar spectral variation correlates well with variation in canopy chemistry, especially condensed tannins. Variation in aspen canopy chemistry, in turn, is correlated with variation in below-ground processes. Variation in spectra also correlates well with variation in soil traits. These findings indicate that forest tree species can create spatial mosaics of ecosystem functioning across large spatial scales and that these patterns can be quantified via remote sensing techniques. Moreover, they demonstrate the utility of using optical properties as proxies for fine-scale measurements of biodiversity over large spatial scales. </div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">24733949</PMID><DateCompleted><Year>2014</Year><Month>12</Month><Day>11</Day></DateCompleted><DateRevised><Year>2019</Year><Month>01</Month><Day>30</Day></DateRevised><Article PubModel="Electronic-Print"><Journal><ISSN IssnType="Electronic">1471-2970</ISSN><JournalIssue CitedMedium="Internet"><Volume>369</Volume><Issue>1643</Issue><PubDate><Year>2014</Year></PubDate></JournalIssue><Title>Philosophical transactions of the Royal Society of London. Series B, Biological sciences</Title><ISOAbbreviation>Philos Trans R Soc Lond B Biol Sci</ISOAbbreviation></Journal><ArticleTitle>Imaging spectroscopy links aspen genotype with below-ground processes at landscape scales.</ArticleTitle><Pagination><MedlinePgn>20130194</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1098/rstb.2013.0194</ELocationID><Abstract><AbstractText>Fine-scale biodiversity is increasingly recognized as important to ecosystem-level processes. Remote sensing technologies have great potential to estimate both biodiversity and ecosystem function over large spatial scales. Here, we demonstrate the capacity of imaging spectroscopy to discriminate among genotypes of Populus tremuloides (trembling aspen), one of the most genetically diverse and widespread forest species in North America. We combine imaging spectroscopy (AVIRIS) data with genetic, phytochemical, microbial and biogeochemical data to determine how intraspecific plant genetic variation influences below-ground processes at landscape scales. We demonstrate that both canopy chemistry and below-ground processes vary over large spatial scales (continental) according to aspen genotype. Imaging spectrometer data distinguish aspen genotypes through variation in canopy spectral signature. In addition, foliar spectral variation correlates well with variation in canopy chemistry, especially condensed tannins. Variation in aspen canopy chemistry, in turn, is correlated with variation in below-ground processes. Variation in spectra also correlates well with variation in soil traits. These findings indicate that forest tree species can create spatial mosaics of ecosystem functioning across large spatial scales and that these patterns can be quantified via remote sensing techniques. Moreover, they demonstrate the utility of using optical properties as proxies for fine-scale measurements of biodiversity over large spatial scales. </AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Madritch</LastName><ForeName>Michael D</ForeName><Initials>MD</Initials><AffiliationInfo><Affiliation>Department of Biology, Appalachian State University, , Boone, NC 28608, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Kingdon</LastName><ForeName>Clayton C</ForeName><Initials>CC</Initials></Author><Author ValidYN="Y"><LastName>Singh</LastName><ForeName>Aditya</ForeName><Initials>A</Initials></Author><Author ValidYN="Y"><LastName>Mock</LastName><ForeName>Karen E</ForeName><Initials>KE</Initials></Author><Author ValidYN="Y"><LastName>Lindroth</LastName><ForeName>Richard L</ForeName><Initials>RL</Initials></Author><Author ValidYN="Y"><LastName>Townsend</LastName><ForeName>Philip 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Nord</li></region></list><tree><noCountry><name sortKey="Kingdon, Clayton C" sort="Kingdon, Clayton C" uniqKey="Kingdon C" first="Clayton C" last="Kingdon">Clayton C. Kingdon</name><name sortKey="Lindroth, Richard L" sort="Lindroth, Richard L" uniqKey="Lindroth R" first="Richard L" last="Lindroth">Richard L. Lindroth</name><name sortKey="Mock, Karen E" sort="Mock, Karen E" uniqKey="Mock K" first="Karen E" last="Mock">Karen E. Mock</name><name sortKey="Singh, Aditya" sort="Singh, Aditya" uniqKey="Singh A" first="Aditya" last="Singh">Aditya Singh</name><name sortKey="Townsend, Philip A" sort="Townsend, Philip A" uniqKey="Townsend P" first="Philip A" last="Townsend">Philip A. Townsend</name></noCountry><country name="États-Unis"><region name="Caroline du Nord"><name sortKey="Madritch, Michael D" sort="Madritch, Michael D" uniqKey="Madritch M" first="Michael D" last="Madritch">Michael D. Madritch</name></region></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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