Titre
Potential sources of time lags in calibrating species distribution models.
Type
article
Institution
UNIL/CHUV/Unisanté + institutions partenaires
Périodique
Auteur(s)
Essl, F.
Auteure/Auteur
García-Rodríguez, A.
Auteure/Auteur
Lenzner, B.
Auteure/Auteur
Alexander, J.M.
Auteure/Auteur
Capinha, C.
Auteure/Auteur
Gaüzère, P.
Auteure/Auteur
Guisan, A.
Auteure/Auteur
Kühn, I.
Auteure/Auteur
Lenoir, J.
Auteure/Auteur
Richardson, D.M.
Auteure/Auteur
Rumpf, S.B.
Auteure/Auteur
Svenning, J.C.
Auteure/Auteur
Thuiller, W.
Auteure/Auteur
Zurell, D.
Auteure/Auteur
Dullinger, S.
Auteure/Auteur
Liens vers les personnes
Liens vers les unités
ISSN
0305-0270
Statut éditorial
Publié
Date de publication
2024-01
Volume
51
Numéro
1
Première page
89
Dernière page/numéro d’article
102
Peer-reviewed
Oui
Langue
anglais
Notes
Publication types: Journal Article
Publication Status: ppublish
Publication Status: ppublish
Résumé
The Anthropocene is characterized by a rapid pace of environmental change and is causing a multitude of biotic responses, including those that affect the spatial distribution of species. Lagged responses are frequent and species distributions and assemblages are consequently pushed into a disequilibrium state. How the characteristics of environmental change-for example, gradual 'press' disturbances such as rising temperatures due to climate change versus infrequent 'pulse' disturbances such as extreme events-affect the magnitude of responses and the relaxation times of biota has been insufficiently explored. It is also not well understood how widely used approaches to assess or project the responses of species to changing environmental conditions can deal with time lags. It, therefore, remains unclear to what extent time lags in species distributions are accounted for in biodiversity assessments, scenarios and models; this has ramifications for policymaking and conservation science alike. This perspective piece reflects on lagged species responses to environmental change and discusses the potential consequences for species distribution models (SDMs), the tools of choice in biodiversity modelling. We suggest ways to better account for time lags in calibrating these models and to reduce their leverage effects in projections for improved biodiversity science and policy.
PID Serval
serval:BIB_728FF0BF2A58
PMID
Open Access
Oui
Date de création
2023-09-05T18:18:21.421Z
Date de création dans IRIS
2025-05-21T04:34:43Z
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Nom
38515765_BIB_728FF0BF2A58.pdf
Version du manuscrit
published
Licence
https://creativecommons.org/licenses/by/4.0
Taille
8.3 MB
Format
Adobe PDF
PID Serval
serval:BIB_728FF0BF2A58.P001
URN
urn:nbn:ch:serval-BIB_728FF0BF2A580
Somme de contrôle
(MD5):df5c44a6ba6b0a4a87e892a335a00305