2021
DOI: 10.1111/ddi.13367
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The role of dispersal limitation and reforestation in shaping the distributional shift of a forest herb under climate change

Abstract: This is an open access article under the terms of the Creat ive Commo ns Attri bution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Cited by 7 publications
(19 citation statements)
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References 93 publications
(122 reference statements)
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“…Incorporating the functional connectivity of dispersal modes in MEM, increases the biological realism of spatial vectors (Bauman, Drouet, Fortin, & Dray, 2018 ; Ver Hoef et al, 2018 ). Therefore, the cumulative landscape resistances between plots (Van Daele et al, 2021 ), based on the resistance for dispersal of land‐use, distance to rivers and elevation ( R 2 marginal = 0.76, R 2 conditional = 0.92), were taken into account using a binary coding scheme following the recommendations of Bauman, Drouet, Dray, and Vleminckx ( 2018 ), Bauman, Drouet, Fortin, and Dray ( 2018 ). The resulting spatial weights matrix was used to calculate the orthogonal spatial vectors with a positive autocorrelation selection rule (broad spatial clustering; Dray, 2011 ).…”
Section: Methodsmentioning
confidence: 99%
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“…Incorporating the functional connectivity of dispersal modes in MEM, increases the biological realism of spatial vectors (Bauman, Drouet, Fortin, & Dray, 2018 ; Ver Hoef et al, 2018 ). Therefore, the cumulative landscape resistances between plots (Van Daele et al, 2021 ), based on the resistance for dispersal of land‐use, distance to rivers and elevation ( R 2 marginal = 0.76, R 2 conditional = 0.92), were taken into account using a binary coding scheme following the recommendations of Bauman, Drouet, Dray, and Vleminckx ( 2018 ), Bauman, Drouet, Fortin, and Dray ( 2018 ). The resulting spatial weights matrix was used to calculate the orthogonal spatial vectors with a positive autocorrelation selection rule (broad spatial clustering; Dray, 2011 ).…”
Section: Methodsmentioning
confidence: 99%
“…Specifically, rapid climate‐change induced shifts of their potential distribution will exceed their adaptive capacity or their ability to migrate to newly available habitat (Kubisch et al, 2013 ). The strong fragmentation of forest habitats on the European continent makes forest herbs particularly susceptible to climate change due to local genetic erosion and loss of adaptive potential, and due to their limited dispersal capacity (Dullinger et al, 2015 ; Naaf et al, 2021 ; Svenning et al, 2008 ; Van Daele et al, 2021 ). Assessment of their adaptive capacity is therefore required to predict species‐specific vulnerabilities to climate change, and to devise mitigation strategies against climate change‐induced local extinctions across their range (Bussotti et al, 2015 ; Razgour et al, 2019 ).…”
Section: Introductionmentioning
confidence: 99%
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