View in EDS

Scaling the linkage between environmental niches and functional traits for improved spatial predictions of biological communities.

Saved in:
Bibliographic Details
Title: Scaling the linkage between environmental niches and functional traits for improved spatial predictions of biological communities.
Authors: Guisan, Antoine1,2 (AUTHOR) antoine.guisan@unil.ch, Mod, Heidi K.1 (AUTHOR), Scherrer, Daniel1,3 (AUTHOR), Münkemüller, Tamara4 (AUTHOR), Pottier, Julien5 (AUTHOR), Alexander, Jake M.1,6 (AUTHOR), D'Amen, Manuela1,7 (AUTHOR), Hampe, Arndt (AUTHOR)
Source: Global Ecology & Biogeography. Oct2019, Vol. 28 Issue 10, p1384-1392. 9p.
Subjects: Biotic communities, Ecological niche, Species distribution, Logical prediction, Scaling (Social sciences), Examinations
Abstract: Issue: Approaches to predicting species assemblages through stacking individual niche‐based species distribution models (S‐SDMs) need to account for community processes other than abiotic filtering. Such constraints have been introduced by implementing ecological assembly rules (EARs) into S‐SDMs, and can be based on patterns of functional traits in communities. Despite being logically valid, this approach has led to a limited improvement in prediction, possibly because of mismatches between the scales of measurement of niche and trait data. Evidence: S‐SDM studies have often related single values of a species' traits to environmental niches that are captured by abiotic conditions measured at a much finer spatial scale, without accounting for intraspecific trait variation along environmental gradients. Many pieces of evidence show that omitting intraspecific trait variation can hinder the proper inference of EARs from trait patterns, and we further argue that it can therefore also affect our capacity to spatially predict functional properties of communities. In addition, estimates of environmental niches and trait envelopes may vary depending on the scale at which environmental and trait measurements are made. Conclusion: We suggest that to overcome these limitations, surveys sampling both niche and trait measurements should be conducted at fine scales along wide environmental gradients, and integrated at the same scale to test and improve a new generation of spatial community models and their functional properties. [ABSTRACT FROM AUTHOR]
Copyright of Global Ecology & Biogeography is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
FullText Text:
  Availability: 0
Header DbId: egs
DbLabel: Engineering Source
An: 138831879
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Scaling the linkage between environmental niches and functional traits for improved spatial predictions of biological communities.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Guisan%2C+Antoine%22">Guisan, Antoine</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> antoine.guisan@unil.ch</i><br /><searchLink fieldCode="AR" term="%22Mod%2C+Heidi+K%2E%22">Mod, Heidi K.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Scherrer%2C+Daniel%22">Scherrer, Daniel</searchLink><relatesTo>1,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Münkemüller%2C+Tamara%22">Münkemüller, Tamara</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Pottier%2C+Julien%22">Pottier, Julien</searchLink><relatesTo>5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Alexander%2C+Jake+M%2E%22">Alexander, Jake M.</searchLink><relatesTo>1,6</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22D'Amen%2C+Manuela%22">D'Amen, Manuela</searchLink><relatesTo>1,7</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hampe%2C+Arndt%22">Hampe, Arndt</searchLink> (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Global+Ecology+%26+Biogeography%22">Global Ecology & Biogeography</searchLink>. Oct2019, Vol. 28 Issue 10, p1384-1392. 9p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Biotic+communities%22">Biotic communities</searchLink><br /><searchLink fieldCode="DE" term="%22Ecological+niche%22">Ecological niche</searchLink><br /><searchLink fieldCode="DE" term="%22Species+distribution%22">Species distribution</searchLink><br /><searchLink fieldCode="DE" term="%22Logical+prediction%22">Logical prediction</searchLink><br /><searchLink fieldCode="DE" term="%22Scaling+%28Social+sciences%29%22">Scaling (Social sciences)</searchLink><br /><searchLink fieldCode="DE" term="%22Examinations%22">Examinations</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Issue: Approaches to predicting species assemblages through stacking individual niche‐based species distribution models (S‐SDMs) need to account for community processes other than abiotic filtering. Such constraints have been introduced by implementing ecological assembly rules (EARs) into S‐SDMs, and can be based on patterns of functional traits in communities. Despite being logically valid, this approach has led to a limited improvement in prediction, possibly because of mismatches between the scales of measurement of niche and trait data. Evidence: S‐SDM studies have often related single values of a species' traits to environmental niches that are captured by abiotic conditions measured at a much finer spatial scale, without accounting for intraspecific trait variation along environmental gradients. Many pieces of evidence show that omitting intraspecific trait variation can hinder the proper inference of EARs from trait patterns, and we further argue that it can therefore also affect our capacity to spatially predict functional properties of communities. In addition, estimates of environmental niches and trait envelopes may vary depending on the scale at which environmental and trait measurements are made. Conclusion: We suggest that to overcome these limitations, surveys sampling both niche and trait measurements should be conducted at fine scales along wide environmental gradients, and integrated at the same scale to test and improve a new generation of spatial community models and their functional properties. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Global Ecology & Biogeography is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=138831879
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1111/geb.12967
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 9
        StartPage: 1384
    Subjects:
      – SubjectFull: Biotic communities
        Type: general
      – SubjectFull: Ecological niche
        Type: general
      – SubjectFull: Species distribution
        Type: general
      – SubjectFull: Logical prediction
        Type: general
      – SubjectFull: Scaling (Social sciences)
        Type: general
      – SubjectFull: Examinations
        Type: general
    Titles:
      – TitleFull: Scaling the linkage between environmental niches and functional traits for improved spatial predictions of biological communities.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Guisan, Antoine
      – PersonEntity:
          Name:
            NameFull: Mod, Heidi K.
      – PersonEntity:
          Name:
            NameFull: Scherrer, Daniel
      – PersonEntity:
          Name:
            NameFull: Münkemüller, Tamara
      – PersonEntity:
          Name:
            NameFull: Pottier, Julien
      – PersonEntity:
          Name:
            NameFull: Alexander, Jake M.
      – PersonEntity:
          Name:
            NameFull: D'Amen, Manuela
      – PersonEntity:
          Name:
            NameFull: Hampe, Arndt
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 10
              Text: Oct2019
              Type: published
              Y: 2019
          Identifiers:
            – Type: issn-print
              Value: 1466822X
          Numbering:
            – Type: volume
              Value: 28
            – Type: issue
              Value: 10
          Titles:
            – TitleFull: Global Ecology & Biogeography
              Type: main
ResultId 1