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Scale effects on the performance of niche-based models of freshwater fish distributions: Local vs. upstream area influences

  • Niche-based species distribution models (SDMs) play a central role in studying species response to environmental change. Effective management and conservation plans for freshwater ecosystems require SDMs that accommodate hierarchical catchment ordering and provide clarity on the performance of such models across multiple scales. The scale-dependence components considered here are: (a) environment spatial structure, represented by hierarchical catchment ordering following the Strahler system; (b) analysis grain, that included 1st to 5th order catchments; and (c) response grain, the grain at which species respond most, represented by local and upstream catchment area effects. We used fish occurrence data from the Danube River Basin and various factors representing climate, land cover and anthropogenic pressures. Our results indicate that the choice of response grain local vs. upstream area effects and the choice of analysis grain, only marginally influence the performance of SDMs. Upstream effects tend to better predict fishNiche-based species distribution models (SDMs) play a central role in studying species response to environmental change. Effective management and conservation plans for freshwater ecosystems require SDMs that accommodate hierarchical catchment ordering and provide clarity on the performance of such models across multiple scales. The scale-dependence components considered here are: (a) environment spatial structure, represented by hierarchical catchment ordering following the Strahler system; (b) analysis grain, that included 1st to 5th order catchments; and (c) response grain, the grain at which species respond most, represented by local and upstream catchment area effects. We used fish occurrence data from the Danube River Basin and various factors representing climate, land cover and anthropogenic pressures. Our results indicate that the choice of response grain local vs. upstream area effects and the choice of analysis grain, only marginally influence the performance of SDMs. Upstream effects tend to better predict fish distributions than corresponding local effects for anthropogenic and land cover factors, in particular for species sensitive to pollution. Key predictors and their relative importance are scale and species dependent. Consequently, choosing proper species dependent spatial scales and factors is imperative for effective river rehabilitation measures.zeige mehrzeige weniger

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Metadaten
Verfasserangaben:Danijela MarkovicORCiD, Ariane WalzORCiDGND, Oskar KärcherORCiDGND
DOI:https://doi.org/10.1016/j.ecolmodel.2019.108818
ISSN:0304-3800
ISSN:1872-7026
Titel des übergeordneten Werks (Englisch):Ecological modelling : international journal on ecological modelling and engineering and systems ecolog
Verlag:Elsevier
Verlagsort:Amsterdam
Publikationstyp:Wissenschaftlicher Artikel
Sprache:Englisch
Jahr der Erstveröffentlichung:2019
Erscheinungsjahr:2019
Datum der Freischaltung:20.10.2020
Freies Schlagwort / Tag:Catchment order; Conservation planning; Danube; Freshwater fish; Species distribution modelling; Upstream area
Band:411
Seitenanzahl:11
Fördernde Institution:DFGGerman Research Foundation (DFG) [MA 6593/2-1]; Horizon 2020 ECOPOTENTIAL project [641762]
Organisationseinheiten:Zentrale und wissenschaftliche Einrichtungen / Zentrum für Umweltwissenschaften
DDC-Klassifikation:5 Naturwissenschaften und Mathematik / 55 Geowissenschaften, Geologie / 550 Geowissenschaften
Peer Review:Referiert
Publikationsweg:Open Access
Open Access / Hybrid Open-Access
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