Indexado en

Licencia y uso

Citaciones

Altmetrics

Grant support

We thank the editors of the Grime Reviews for their interest in the proposed paper, and the anonymous reviewers who took some of their time to assess this submission. A.G. received support from the Swiss Federal Office for the Environment (Valpar.CH project) funding A.A. and from the Swiss National Science Foundation (grants 310030L_197777, GEN4MIG project) funding F.C. R.G.M. was supported by project grants Connect2restore (TED2021-129589B-I00, funded by MCIN/AEI/10.13039/501100011033 and by the European Union NextGenerationEU/PRTR), and NextDive (PID2021-124187NB-I00, funded by MCIN/AEI/10.13039/501100011033 and by ERDF, a way of making Europe).

Análisis de autorías institucional

Compartir

Spatially nested species distribution models (N-SDM): An effective tool to overcome niche truncation for more robust inference and projections

Publicado en:JOURNAL OF ECOLOGY (): - - 2025-05-16 (), DOI: 10.1111/1365-2745.70063

Autores: Guisan A; Chevalier M; Adde A; Zarzo-Arias A; Goicolea T; Broennimann O; Petitpierre B; Scherrer D; Rey PL; Collart F; Riva F; Steen B; Mateo RG

Afiliaciones

Resumen

Species distribution models (SDMs) relate species observations to mapped environmental variables to estimate the realized niche of species and predict their distribution. SDMs are key tools for projecting the impact of climate change on species and have been used in many biodiversity assessments. However, when fitted within spatial extents that do not encompass the whole species range (i.e. subrange), the estimated realized environmental niche can be truncated, which can lead to wrong or inaccurate predictions. A simple solution to this niche truncation consists in fitting SDMs at a spatial extent that encompasses the whole species range, but this often implies using a spatial resolution too coarse for local conservation assessments. To keep a fine resolution, a solution is to fit spatially nested SDMs (N-SDMs), where a whole range, coarse-grain SDM is combined with a subrange, fine-grain SDM. N-SDMs have demonstrated superior performance to subrange (truncated) SDMs in projecting species distributions under climate change and have accordingly regained considerable interest. Here, we review developments, applications and effectiveness of N-SDMs. We present and discuss existing methods and tools to fit N-SDMs, and assess when N-SDMs are not needed. We highlight strengths and weaknesses of N-SDMs, underline their importance in reducing niche truncation, and identify remaining challenges and future perspectives. Our review highlights that subrange SDMs most often lead to niche truncation and thus to incorrect spatial projections, a problem that can be overcome by using N-SDMs. We show that the various N-SDM methods come with their strengths and weaknesses and should be selected depending on the intended goal of the study. Synthesis. N-SDMs are key tools to develop untruncated regional climate change forecasts of species distributions at fine resolution over restricted extent. While several N-SDM approaches were proposed, there is currently no universal solution suggesting that further developments and testing are crucial if we are to derive robust future projections of species distributions, at least until SDMs can be applied for most species at high resolution over large geographic extents. Les mod & egrave;les de distribution d'esp & egrave;ces (SDM) relient les observations des esp & egrave;ces & agrave; des cartes environnementales afin d'estimer la niche r & eacute;alis & eacute;e de l'esp & egrave;ce et de pr & eacute;dire sa distribution. Les SDMs sont des outils essentiels pour pr & eacute;voir l'impact du changement climatique sur les esp & egrave;ces et ont & eacute;t & eacute; utilis & eacute;s dans de nombreuses & eacute;valuations de la biodiversit & eacute;. Cependant, lorsqu'ils sont ajust & eacute;s & agrave; des & eacute;chelles qui n'englobent pas l'ensemble de l'aire de r & eacute;partition des esp & egrave;ces (sous-aires) et ne comprennent qu'une partie de leurs tol & eacute;rances environnementales, les SDMs et leurs pr & eacute;visions risquent d'& ecirc;tre affect & eacute;s par la troncation de niche. Une solution simple & agrave; ce probl & egrave;me consiste & agrave; ajuster les SDMs & agrave; une & eacute;tendue englobant la totalit & eacute; de l'aire de r & eacute;partition des esp & egrave;ces, mais la r & eacute;solution est souvent trop grossi & egrave;re pour les & eacute;valuations de conservation & agrave; & eacute;chelle locale ou r & eacute;gionale. Une autre solution, qui tient mieux compte de l'& eacute;cologie des esp & egrave;ces, repose sur l'ajustement de SDM hi & eacute;rarchiques spatialement imbriqu & eacute;s (N-SDM) en combinant un SDM

Palabras clave