Improving niche projections of plant species under climate change: Silene acaulis on the British Isles as a case study

Empirical works to assist in choosing climatically relevant variables in the attempt to predict climate change impacts on plant species are limited. Further uncertainties arise in choice of an appropriate niche model. In this study we devised and tested a sharp methodological framework, based on str...

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Published in:Climate Dynamics
Main Authors: Ferrarini A., Alsafran M.H.S.A., Dai J., Alatalo J.M.
Format: Article in Journal/Newspaper
Language:English
Published: Springer Verlag
Subjects:
Online Access:http://hdl.handle.net/10576/14437
https://doi.org/10.1007/s00382-018-4200-9
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spelling ftqataruniv:oai:qspace.qu.edu.qa:10576/14437 2023-05-15T18:19:44+02:00 Improving niche projections of plant species under climate change: Silene acaulis on the British Isles as a case study Ferrarini A. Alsafran M.H.S.A. Dai J. Alatalo J.M. http://hdl.handle.net/10576/14437 https://doi.org/10.1007/s00382-018-4200-9 en eng Springer Verlag 9307575 http://dx.doi.org/10.1007/s00382-018-4200-9 http://hdl.handle.net/10576/14437 1413-1423 4-Mar 52 British Isles Climate extremes Climate-driven niche modelling Model selection Parsimonious modelling Silene acaulis Variable ranking Variable selection Article ftqataruniv https://doi.org/10.1007/s00382-018-4200-9 2022-07-13T15:15:44Z Empirical works to assist in choosing climatically relevant variables in the attempt to predict climate change impacts on plant species are limited. Further uncertainties arise in choice of an appropriate niche model. In this study we devised and tested a sharp methodological framework, based on stringent variable ranking and filtering and flexible model selection, to minimize uncertainty in both niche modelling and successive projection of plant species distributions. We used our approach to develop an accurate, parsimonious model of Silene acaulis (L.) presence/absence on the British Isles and to project its presence/absence under climate change. The approach suggests the importance of (a) defining a reduced set of climate variables, actually relevant to species presence/absence, from an extensive list of climate predictors, and (b) considering climate extremes instead of, or together with, climate averages in projections of plant species presence/absence under future climate scenarios. Our methodological approach reduced the number of relevant climate predictors by 95.23% (from 84 to only 4), while simultaneously achieving high cross-validated accuracy (97.84%) confirming enhanced model performance. Projections produced under different climate scenarios suggest that S. acaulis will likely face climate-driven fast decline in suitable areas on the British Isles, and that upward and northward shifts to occupy new climatically suitable areas are improbable in the future. Our results also imply that conservation measures for S. acaulis based upon assisted colonization are unlikely to succeed on the British Isles due to the absence of climatically suitable habitat, so different conservation actions (seed banks and/or botanical gardens) are needed. Scopus Article in Journal/Newspaper Silene acaulis Qatar University: QU Institutional Repository Climate Dynamics 52 3-4 1413 1423
institution Open Polar
collection Qatar University: QU Institutional Repository
op_collection_id ftqataruniv
language English
topic British Isles
Climate extremes
Climate-driven niche modelling
Model selection
Parsimonious modelling
Silene acaulis
Variable ranking
Variable selection
spellingShingle British Isles
Climate extremes
Climate-driven niche modelling
Model selection
Parsimonious modelling
Silene acaulis
Variable ranking
Variable selection
Ferrarini A.
Alsafran M.H.S.A.
Dai J.
Alatalo J.M.
Improving niche projections of plant species under climate change: Silene acaulis on the British Isles as a case study
topic_facet British Isles
Climate extremes
Climate-driven niche modelling
Model selection
Parsimonious modelling
Silene acaulis
Variable ranking
Variable selection
description Empirical works to assist in choosing climatically relevant variables in the attempt to predict climate change impacts on plant species are limited. Further uncertainties arise in choice of an appropriate niche model. In this study we devised and tested a sharp methodological framework, based on stringent variable ranking and filtering and flexible model selection, to minimize uncertainty in both niche modelling and successive projection of plant species distributions. We used our approach to develop an accurate, parsimonious model of Silene acaulis (L.) presence/absence on the British Isles and to project its presence/absence under climate change. The approach suggests the importance of (a) defining a reduced set of climate variables, actually relevant to species presence/absence, from an extensive list of climate predictors, and (b) considering climate extremes instead of, or together with, climate averages in projections of plant species presence/absence under future climate scenarios. Our methodological approach reduced the number of relevant climate predictors by 95.23% (from 84 to only 4), while simultaneously achieving high cross-validated accuracy (97.84%) confirming enhanced model performance. Projections produced under different climate scenarios suggest that S. acaulis will likely face climate-driven fast decline in suitable areas on the British Isles, and that upward and northward shifts to occupy new climatically suitable areas are improbable in the future. Our results also imply that conservation measures for S. acaulis based upon assisted colonization are unlikely to succeed on the British Isles due to the absence of climatically suitable habitat, so different conservation actions (seed banks and/or botanical gardens) are needed. Scopus
format Article in Journal/Newspaper
author Ferrarini A.
Alsafran M.H.S.A.
Dai J.
Alatalo J.M.
author_facet Ferrarini A.
Alsafran M.H.S.A.
Dai J.
Alatalo J.M.
author_sort Ferrarini A.
title Improving niche projections of plant species under climate change: Silene acaulis on the British Isles as a case study
title_short Improving niche projections of plant species under climate change: Silene acaulis on the British Isles as a case study
title_full Improving niche projections of plant species under climate change: Silene acaulis on the British Isles as a case study
title_fullStr Improving niche projections of plant species under climate change: Silene acaulis on the British Isles as a case study
title_full_unstemmed Improving niche projections of plant species under climate change: Silene acaulis on the British Isles as a case study
title_sort improving niche projections of plant species under climate change: silene acaulis on the british isles as a case study
publisher Springer Verlag
url http://hdl.handle.net/10576/14437
https://doi.org/10.1007/s00382-018-4200-9
genre Silene acaulis
genre_facet Silene acaulis
op_relation 9307575
http://dx.doi.org/10.1007/s00382-018-4200-9
http://hdl.handle.net/10576/14437
1413-1423
4-Mar
52
op_doi https://doi.org/10.1007/s00382-018-4200-9
container_title Climate Dynamics
container_volume 52
container_issue 3-4
container_start_page 1413
op_container_end_page 1423
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