A new method for broad‐scale modeling and projection of plant assemblages under climatic, biotic, and environmental cofiltering

<p></p><div> <p>There is increasing interestin broad-scale analysis, modeling, and prediction of the distribution and composition of plant species assemblages under climatic, environmental, and biotic change, particularly for conservation purposes. We devised a method to reli...

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Main Author: Alessandro Ferrarini (3951098) (author)
Other Authors: Yang Bai (198601) (author), Junhu Dai (7439813) (author), Juha M. Alatalo (2931234) (author)
Published: 2023
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author Alessandro Ferrarini (3951098)
author2 Yang Bai (198601)
Junhu Dai (7439813)
Juha M. Alatalo (2931234)
author2_role author
author
author
author_facet Alessandro Ferrarini (3951098)
Yang Bai (198601)
Junhu Dai (7439813)
Juha M. Alatalo (2931234)
author_role author
dc.creator.none.fl_str_mv Alessandro Ferrarini (3951098)
Yang Bai (198601)
Junhu Dai (7439813)
Juha M. Alatalo (2931234)
dc.date.none.fl_str_mv 2023-03-16T05:20:45Z
dc.identifier.none.fl_str_mv 10.1111/cobi.13797
dc.relation.none.fl_str_mv https://figshare.com/articles/journal_contribution/A_new_method_for_broad_scale_modeling_and_projection_of_plant_assemblages_under_climatic_biotic_and_environmental_cofiltering/22258474
dc.rights.none.fl_str_mv CC BY 4.0
info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Environmental sciences
Ecological applications
Nature and Landscape Conservation
Ecology
Ecology, Evolution, Behavior and Systematics
dc.title.none.fl_str_mv A new method for broad‐scale modeling and projection of plant assemblages under climatic, biotic, and environmental cofiltering
dc.type.none.fl_str_mv Text
Journal contribution
info:eu-repo/semantics/publishedVersion
text
contribution to journal
description <p></p><div> <p>There is increasing interestin broad-scale analysis, modeling, and prediction of the distribution and composition of plant species assemblages under climatic, environmental, and biotic change, particularly for conservation purposes. We devised a method to reliably predict the impact of climate change on large assemblages of plant communities, while also considering competing biotic and environmental factors. To this purpose, we first used multilabel algorithms in order to convert the task of explaining a large assemblage of plant communities into a classification framework able to capture with high cross-validated accuracy the pattern of species distributions under a composite set of biotic and abiotic factors. We applied our model to a large set of plant communities in the Swiss Alps. Our model explained presences and absences of 175 plant species in 608 plots with >87% cross-validated accuracy, predicted decreases in <i>α, β</i>, and <i>γ</i> diversity by 2040 under both moderate and extreme climate scenarios, and identified likely advantaged and disadvantaged plant species under climate change. Multilabel variable selection revealed the overriding importance of topography, soils, and temperature extremes (rather than averages) in determining the distribution of plant species in the study area and their response to climate change. Our method addressed a number of challenging research problems, such as scaling to large numbers of species, considering species relationships and rarity, and addressing an overwhelming proportion of absences in presence–absence matrices. By handling hundreds to thousands of plants and plots simultaneously over large areas, our method can inform broad-scale conservation of plant species under climate change because it allows species that require urgent conservation action (assisted migration, seed conservation, and ex situ conservation) to be detected and prioritized. Our method also increases the practicality of assisted colonization of plant species by helping to prevent ill-advised introduction of plant species with limited future survival probability.</p> </div><p></p><h2>Other Information</h2> <p> Published in: Conservation Biology<br> License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="http://dx.doi.org/10.1111/cobi.13797" target="_blank">http://dx.doi.org/10.1111/cobi.13797</a></p>
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identifier_str_mv 10.1111/cobi.13797
network_acronym_str Manara2
network_name_str Manara2
oai_identifier_str oai:figshare.com:article/22258474
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spelling A new method for broad‐scale modeling and projection of plant assemblages under climatic, biotic, and environmental cofilteringAlessandro Ferrarini (3951098)Yang Bai (198601)Junhu Dai (7439813)Juha M. Alatalo (2931234)Environmental sciencesEcological applicationsNature and Landscape ConservationEcologyEcology, Evolution, Behavior and Systematics<p></p><div> <p>There is increasing interestin broad-scale analysis, modeling, and prediction of the distribution and composition of plant species assemblages under climatic, environmental, and biotic change, particularly for conservation purposes. We devised a method to reliably predict the impact of climate change on large assemblages of plant communities, while also considering competing biotic and environmental factors. To this purpose, we first used multilabel algorithms in order to convert the task of explaining a large assemblage of plant communities into a classification framework able to capture with high cross-validated accuracy the pattern of species distributions under a composite set of biotic and abiotic factors. We applied our model to a large set of plant communities in the Swiss Alps. Our model explained presences and absences of 175 plant species in 608 plots with >87% cross-validated accuracy, predicted decreases in <i>α, β</i>, and <i>γ</i> diversity by 2040 under both moderate and extreme climate scenarios, and identified likely advantaged and disadvantaged plant species under climate change. Multilabel variable selection revealed the overriding importance of topography, soils, and temperature extremes (rather than averages) in determining the distribution of plant species in the study area and their response to climate change. Our method addressed a number of challenging research problems, such as scaling to large numbers of species, considering species relationships and rarity, and addressing an overwhelming proportion of absences in presence–absence matrices. By handling hundreds to thousands of plants and plots simultaneously over large areas, our method can inform broad-scale conservation of plant species under climate change because it allows species that require urgent conservation action (assisted migration, seed conservation, and ex situ conservation) to be detected and prioritized. Our method also increases the practicality of assisted colonization of plant species by helping to prevent ill-advised introduction of plant species with limited future survival probability.</p> </div><p></p><h2>Other Information</h2> <p> Published in: Conservation Biology<br> License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="http://dx.doi.org/10.1111/cobi.13797" target="_blank">http://dx.doi.org/10.1111/cobi.13797</a></p>2023-03-16T05:20:45ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1111/cobi.13797https://figshare.com/articles/journal_contribution/A_new_method_for_broad_scale_modeling_and_projection_of_plant_assemblages_under_climatic_biotic_and_environmental_cofiltering/22258474CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/222584742023-03-16T05:20:45Z
spellingShingle A new method for broad‐scale modeling and projection of plant assemblages under climatic, biotic, and environmental cofiltering
Alessandro Ferrarini (3951098)
Environmental sciences
Ecological applications
Nature and Landscape Conservation
Ecology
Ecology, Evolution, Behavior and Systematics
status_str publishedVersion
title A new method for broad‐scale modeling and projection of plant assemblages under climatic, biotic, and environmental cofiltering
title_full A new method for broad‐scale modeling and projection of plant assemblages under climatic, biotic, and environmental cofiltering
title_fullStr A new method for broad‐scale modeling and projection of plant assemblages under climatic, biotic, and environmental cofiltering
title_full_unstemmed A new method for broad‐scale modeling and projection of plant assemblages under climatic, biotic, and environmental cofiltering
title_short A new method for broad‐scale modeling and projection of plant assemblages under climatic, biotic, and environmental cofiltering
title_sort A new method for broad‐scale modeling and projection of plant assemblages under climatic, biotic, and environmental cofiltering
topic Environmental sciences
Ecological applications
Nature and Landscape Conservation
Ecology
Ecology, Evolution, Behavior and Systematics