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DOI | 10.1007/s00382-018-4200-9 |
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. | |
发表日期 | 2019 |
ISSN | 0930-7575 |
起始页码 | 1413 |
结束页码 | 1423 |
卷号 | 52期号:2020-03-04 |
英文摘要 | 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. © 2018, Springer-Verlag GmbH Germany, part of Springer Nature. |
英文关键词 | British Isles; Climate extremes; Climate-driven niche modelling; Model selection; Parsimonious modelling; Silene acaulis; Variable ranking; Variable selection |
语种 | 英语 |
scopus关键词 | angiosperm; climate change; climate effect; ecological modeling; extreme event; niche; population distribution; ranking; United Kingdom; Silene acaulis |
来源期刊 | Climate Dynamics
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文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/146562 |
作者单位 | Via G. Saragat 4, Parma, I-43123, Italy; Department of Biological and Environmental Sciences, College of Arts and Sciences, Qatar University, P.O. Box 2713, Doha, Qatar; Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China |
推荐引用方式 GB/T 7714 | Ferrarini A.,Alsafran M.H.S.A.,Dai J.,et al. Improving niche projections of plant species under climate change: Silene acaulis on the British Isles as a case study[J],2019,52(2020-03-04). |
APA | Ferrarini A.,Alsafran M.H.S.A.,Dai J.,&Alatalo J.M..(2019).Improving niche projections of plant species under climate change: Silene acaulis on the British Isles as a case study.Climate Dynamics,52(2020-03-04). |
MLA | Ferrarini A.,et al."Improving niche projections of plant species under climate change: Silene acaulis on the British Isles as a case study".Climate Dynamics 52.2020-03-04(2019). |
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