• Treffer 1 von 25
Zurück zur Trefferliste

Static species distribution models in dynamically changing systems : how good can predictions really be?

  • SDM performance varied for different range dynamics. Prediction accuracies decreased when abrupt range shifts occurred as species were outpaced by the rate of climate change, and increased again when a new equilibrium situation was realised. When ranges contracted, prediction accuracies increased as the absences were predicted well. Far- dispersing species were faster in tracking climate change, and were predicted more accurately by SDMs than short- dispersing species. BRTs mostly outperformed GLMs. The presence of a predator, and the inclusion of its incidence as an environmental predictor, made BRTs and GLMs perform similarly. Results are discussed in light of other studies dealing with effects of ecological traits and processes on SDM performance. Perspectives are given on further advancements of SDMs and for possible interfaces with more mechanistic approaches in order to improve predictions under environmental change.

Metadaten exportieren

Weitere Dienste

Suche bei Google Scholar Statistik - Anzahl der Zugriffe auf das Dokument
Metadaten
Verfasserangaben:Damaris ZurellORCiDGND, Florian JeltschORCiDGND, Carsten F. Dormann, Boris Schröder-EsselbachORCiDGND
URL:http://www3.interscience.wiley.com/journal/117966123/home?CRETRY=1&SRETRY=0
DOI:https://doi.org/10.1111/j.1600-0587.2009.05810.x
ISSN:0906-7590
Publikationstyp:Wissenschaftlicher Artikel
Sprache:Englisch
Jahr der Erstveröffentlichung:2009
Erscheinungsjahr:2009
Datum der Freischaltung:25.03.2017
Quelle:Ecography. - ISSN 0906-7590. - 32 (2009), 5, S. 733 - 744
Organisationseinheiten:Mathematisch-Naturwissenschaftliche Fakultät / Institut für Biochemie und Biologie
Peer Review:Referiert
Verstanden ✔
Diese Webseite verwendet technisch erforderliche Session-Cookies. Durch die weitere Nutzung der Webseite stimmen Sie diesem zu. Unsere Datenschutzerklärung finden Sie hier.