Incorporating interspecific competition into species-distribution mapping by upward scaling of small-scale model projections to the landscape.
Identifieur interne : 001337 ( Main/Exploration ); précédent : 001336; suivant : 001338Incorporating interspecific competition into species-distribution mapping by upward scaling of small-scale model projections to the landscape.
Auteurs : Mark Baah-Acheamfour [Canada] ; Charles P-A Bourque [Canada] ; Fan-Rui Meng [Canada] ; D Edwin Swift [Canada]Source :
- PloS one [ 1932-6203 ] ; 2017.
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Abstract
There are a number of overarching questions and debate in the scientific community concerning the importance of biotic interactions in species distribution models at large spatial scales. In this paper, we present a framework for revising the potential distribution of tree species native to the Western Ecoregion of Nova Scotia, Canada, by integrating the long-term effects of interspecific competition into an existing abiotic-factor-based definition of potential species distribution (PSD). The PSD model is developed by combining spatially explicit data of individualistic species' response to normalized incident photosynthetically active radiation, soil water content, and growing degree days. A revised PSD model adds biomass output simulated over a 100-year timeframe with a robust forest gap model and scaled up to the landscape using a forestland classification technique. To demonstrate the method, we applied the calculation to the natural range of 16 target tree species as found in 1,240 provincial forest-inventory plots. The revised PSD model, with the long-term effects of interspecific competition accounted for, predicted that eastern hemlock (Tsuga canadensis), American beech (Fagus grandifolia), white birch (Betula papyrifera), red oak (Quercus rubra), sugar maple (Acer saccharum), and trembling aspen (Populus tremuloides) would experience a significant decline in their original distribution compared with balsam fir (Abies balsamea), black spruce (Picea mariana), red spruce (Picea rubens), red maple (Acer rubrum L.), and yellow birch (Betula alleghaniensis). True model accuracy improved from 64.2% with original PSD evaluations to 81.7% with revised PSD. Kappa statistics slightly increased from 0.26 (fair) to 0.41 (moderate) for original and revised PSDs, respectively.
DOI: 10.1371/journal.pone.0171487
PubMed: 28207782
PubMed Central: PMC5313151
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last="Bourque">Charles P-A Bourque</name><affiliation wicri:level="1"><nlm:affiliation>Faculty of Forestry and Environmental Management, University of New Brunswick, New Brunswick, Canada.</nlm:affiliation><country xml:lang="fr">Canada</country><wicri:regionArea>Faculty of Forestry and Environmental Management, University of New Brunswick, New Brunswick</wicri:regionArea><wicri:noRegion>New Brunswick</wicri:noRegion></affiliation></author><author><name sortKey="Meng, Fan Rui" sort="Meng, Fan Rui" uniqKey="Meng F" first="Fan-Rui" last="Meng">Fan-Rui Meng</name><affiliation wicri:level="1"><nlm:affiliation>Faculty of Forestry and Environmental Management, University of New Brunswick, New Brunswick, Canada.</nlm:affiliation><country xml:lang="fr">Canada</country><wicri:regionArea>Faculty of Forestry and Environmental Management, University of New Brunswick, New Brunswick</wicri:regionArea><wicri:noRegion>New Brunswick</wicri:noRegion></affiliation></author><author><name sortKey="Swift, D Edwin" sort="Swift, D Edwin" uniqKey="Swift D" first="D Edwin" last="Swift">D Edwin Swift</name><affiliation wicri:level="1"><nlm:affiliation>Canadian Wood Fibre Centre, Canadian Forest Service-Atlantic Forestry Centre, Natural Resources Canada, Fredericton, New Brunswick, Canada.</nlm:affiliation><country xml:lang="fr">Canada</country><wicri:regionArea>Canadian Wood Fibre Centre, Canadian Forest Service-Atlantic Forestry Centre, Natural Resources Canada, Fredericton, New Brunswick</wicri:regionArea><wicri:noRegion>New Brunswick</wicri:noRegion></affiliation></author></analytic><series><title level="j">PloS one</title><idno type="eISSN">1932-6203</idno><imprint><date when="2017" type="published">2017</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Canada (MeSH)</term><term>Ecosystem (MeSH)</term><term>Photosynthesis (MeSH)</term><term>Plant Leaves (MeSH)</term><term>Population Dynamics (MeSH)</term><term>Species Specificity (MeSH)</term><term>Trees (MeSH)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Arbres (MeSH)</term><term>Canada (MeSH)</term><term>Dynamique des populations (MeSH)</term><term>Feuilles de plante (MeSH)</term><term>Photosynthèse (MeSH)</term><term>Spécificité d'espèce (MeSH)</term><term>Écosystème (MeSH)</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Canada</term><term>Ecosystem</term><term>Photosynthesis</term><term>Plant Leaves</term><term>Population Dynamics</term><term>Species Specificity</term><term>Trees</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Arbres</term><term>Canada</term><term>Dynamique des populations</term><term>Feuilles de plante</term><term>Photosynthèse</term><term>Spécificité d'espèce</term><term>Écosystème</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">There are a number of overarching questions and debate in the scientific community concerning the importance of biotic interactions in species distribution models at large spatial scales. In this paper, we present a framework for revising the potential distribution of tree species native to the Western Ecoregion of Nova Scotia, Canada, by integrating the long-term effects of interspecific competition into an existing abiotic-factor-based definition of potential species distribution (PSD). The PSD model is developed by combining spatially explicit data of individualistic species' response to normalized incident photosynthetically active radiation, soil water content, and growing degree days. A revised PSD model adds biomass output simulated over a 100-year timeframe with a robust forest gap model and scaled up to the landscape using a forestland classification technique. To demonstrate the method, we applied the calculation to the natural range of 16 target tree species as found in 1,240 provincial forest-inventory plots. The revised PSD model, with the long-term effects of interspecific competition accounted for, predicted that eastern hemlock (Tsuga canadensis), American beech (Fagus grandifolia), white birch (Betula papyrifera), red oak (Quercus rubra), sugar maple (Acer saccharum), and trembling aspen (Populus tremuloides) would experience a significant decline in their original distribution compared with balsam fir (Abies balsamea), black spruce (Picea mariana), red spruce (Picea rubens), red maple (Acer rubrum L.), and yellow birch (Betula alleghaniensis). True model accuracy improved from 64.2% with original PSD evaluations to 81.7% with revised PSD. Kappa statistics slightly increased from 0.26 (fair) to 0.41 (moderate) for original and revised PSDs, respectively.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">28207782</PMID><DateCompleted><Year>2017</Year><Month>08</Month><Day>28</Day></DateCompleted><DateRevised><Year>2020</Year><Month>04</Month><Day>15</Day></DateRevised><Article PubModel="Electronic-eCollection"><Journal><ISSN IssnType="Electronic">1932-6203</ISSN><JournalIssue CitedMedium="Internet"><Volume>12</Volume><Issue>2</Issue><PubDate><Year>2017</Year></PubDate></JournalIssue><Title>PloS one</Title><ISOAbbreviation>PLoS One</ISOAbbreviation></Journal><ArticleTitle>Incorporating interspecific competition into species-distribution mapping by upward scaling of small-scale model projections to the landscape.</ArticleTitle><Pagination><MedlinePgn>e0171487</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1371/journal.pone.0171487</ELocationID><Abstract><AbstractText>There are a number of overarching questions and debate in the scientific community concerning the importance of biotic interactions in species distribution models at large spatial scales. In this paper, we present a framework for revising the potential distribution of tree species native to the Western Ecoregion of Nova Scotia, Canada, by integrating the long-term effects of interspecific competition into an existing abiotic-factor-based definition of potential species distribution (PSD). The PSD model is developed by combining spatially explicit data of individualistic species' response to normalized incident photosynthetically active radiation, soil water content, and growing degree days. A revised PSD model adds biomass output simulated over a 100-year timeframe with a robust forest gap model and scaled up to the landscape using a forestland classification technique. To demonstrate the method, we applied the calculation to the natural range of 16 target tree species as found in 1,240 provincial forest-inventory plots. The revised PSD model, with the long-term effects of interspecific competition accounted for, predicted that eastern hemlock (Tsuga canadensis), American beech (Fagus grandifolia), white birch (Betula papyrifera), red oak (Quercus rubra), sugar maple (Acer saccharum), and trembling aspen (Populus tremuloides) would experience a significant decline in their original distribution compared with balsam fir (Abies balsamea), black spruce (Picea mariana), red spruce (Picea rubens), red maple (Acer rubrum L.), and yellow birch (Betula alleghaniensis). True model accuracy improved from 64.2% with original PSD evaluations to 81.7% with revised PSD. Kappa statistics slightly increased from 0.26 (fair) to 0.41 (moderate) for original and revised PSDs, respectively.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Baah-Acheamfour</LastName><ForeName>Mark</ForeName><Initials>M</Initials><AffiliationInfo><Affiliation>Department of Renewable Resources, University of Alberta, Edmonton, Canada.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Bourque</LastName><ForeName>Charles P-A</ForeName><Initials>CP</Initials><AffiliationInfo><Affiliation>Faculty of Forestry and Environmental Management, University of New Brunswick, New Brunswick, Canada.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Meng</LastName><ForeName>Fan-Rui</ForeName><Initials>FR</Initials><AffiliationInfo><Affiliation>Faculty of Forestry and Environmental Management, University of New Brunswick, New Brunswick, Canada.</Affiliation></AffiliationInfo></Author><Author 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Charles P A" uniqKey="Bourque C" first="Charles P-A" last="Bourque">Charles P-A Bourque</name><name sortKey="Meng, Fan Rui" sort="Meng, Fan Rui" uniqKey="Meng F" first="Fan-Rui" last="Meng">Fan-Rui Meng</name><name sortKey="Swift, D Edwin" sort="Swift, D Edwin" uniqKey="Swift D" first="D Edwin" last="Swift">D Edwin Swift</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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