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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Journal of Biogeogra...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Journal of Biogeography
Article . 2022 . Peer-reviewed
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Journal of Biogeography
Article
License: Wiley Online Library User Agreement
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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Journal of Biogeography
Article . 2022 . Peer-reviewed
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Species distribution models and a 60‐year‐old transplant experiment reveal inhibited forest plant range shifts under climate change

Authors: Sanczuk, Pieter; De Lombaerde, Emiel; Haesen, Stef; Van Meerbeek, Koenraad; Van der Veken, Bas; Hermy, Martin; Verheyen, Kris; +2 Authors

Species distribution models and a 60‐year‐old transplant experiment reveal inhibited forest plant range shifts under climate change

Abstract

AbstractAimClimate change causes species to shift their distributions. Individual species, however, greatly vary in their capacity to track the macroclimatic temperature increase due to differences in demography and dispersal. To better predict range shifts to climate change we need a complementary integration of long‐term empirical data and predictive modelling.LocationBelgium and North‐West Europe.TaxonHyacinthoides non‐scripta¸ forest understorey plants.MethodsComplementing species distribution models with demographic data from an exceptional 60‐year‐old over‐the‐range‐edge transplant experiment measured not less than 45 and 60 years after installation, we evaluated the long‐term consequences of climate change on one of the most emblematic but also among the slowest colonizing plant species of European forests, bluebellHyacinthoides non‐scripta.ResultsWe found bluebell able to establish viable populations beyond its natural range. These results were confirmed by the SDM, showing that bluebell’s potential range is considerably larger than its current range. Colonization rates of only 2 m century−1were observed in the transplanted populations. Beyond bluebell’s current range, we observed decreasing trends in population growth rates over the past 15 years. By the end of the 21st century, substantial decreases in the southern parts of bluebell’s range were predicted.Main conclusionsBased on empirical and modelling results, we expect serious population declines in large parts of its current natural distribution of bluebell. Although the species is able to establish viable populations beyond the natural range edge, slow demography and local colonization rates four orders of magnitude lower than the velocity of climate change make fast enough range shifts virtually impossible in this species.

Country
Belgium
Related Organizations
Keywords

DYNAMICS, COMPLEXITY, species distribution model, MIGRATION, range shift, bluebell, dispersal limitation, over the range edge, climate change, DISPERSAL, Earth and Environmental Sciences, transplant experiment, Hyacinthoides non-scripta, ANCIENT, microclimate, RESPONSES

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
11
Top 10%
Average
Top 10%