Climate Change Data Portal
DOI | 10.1002/rse2.409 |
Increased habitat availability as revealed by LiDAR contributes to the tropicalization of a subtropical butterfly community | |
Ledger, Martha J.; Li, Qiaosi; Ling, Yuet Fung; Jones, Emily E.; Lee, Kit W. K.; Wu, Jin; Bonebrake, Timothy C. | |
发表日期 | 2024 |
EISSN | 2056-3485 |
英文摘要 | Species redistribution through climate change remains a global problem. However, factors such as habitat availability can complicate the attribution of species distribution shifts. We used habitat metrics derived from repeated airborne LiDAR surveys in 2010 to 2020 to examine the underlying causes for the establishment of new butterfly species in Hong Kong. For six species newly arrived since 2000, we built species distribution models using the Random Forest algorithm based on LiDAR data from 2020 to characterize species' preferred habitats across the region. Through hindcasting, we applied the model to LiDAR data from 2010 to observe any changes in the availability of preferred habitat. We found widespread vertical forest growth across Hong Kong and increased probability of occurrence based on increased habitat availability for all six species. The underlying habitat drivers, however, varied significantly across species; two species (Lethe chandica, Notocrypta paralysos) were associated with closed forest while two other species (Prosotas dubiosa, Prosotas nora) were associated with urbanicity. Our results highlight how changes in habitat can occur concurrently with climatic change and together drive the redistribution of biodiversity. Particularly for vertically complex tropical forests, airborne LiDAR data can be leveraged to observe changes in habitat complexity and how these relate to shifts in species distributions. We used habitat metrics derived from repeated airborne LiDAR surveys in 2010 to 2020 within species distribution models to examine the underlying causes for the establishment of six new butterfly species in Hong Kong. We found widespread vertical forest growth across Hong Kong and increased probability of occurrence based on increased habitat availability for all six species; however, the underlying habitat drivers varied across species. Our results highlight how changes in habitat can occur concurrently with climatic change and together drive the redistribution of biodiversity. image |
英文关键词 | Airborne LiDAR; habitat change; microclimate; species distribution models; species redistribution; tropical forests |
语种 | 英语 |
WOS研究方向 | Environmental Sciences & Ecology ; Remote Sensing |
WOS类目 | Ecology ; Remote Sensing |
WOS记录号 | WOS:001237368500001 |
来源期刊 | REMOTE SENSING IN ECOLOGY AND CONSERVATION
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文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/301908 |
作者单位 | University of Hong Kong; University of Glasgow; University of Hong Kong; University of Hong Kong |
推荐引用方式 GB/T 7714 | Ledger, Martha J.,Li, Qiaosi,Ling, Yuet Fung,et al. Increased habitat availability as revealed by LiDAR contributes to the tropicalization of a subtropical butterfly community[J],2024. |
APA | Ledger, Martha J..,Li, Qiaosi.,Ling, Yuet Fung.,Jones, Emily E..,Lee, Kit W. K..,...&Bonebrake, Timothy C..(2024).Increased habitat availability as revealed by LiDAR contributes to the tropicalization of a subtropical butterfly community.REMOTE SENSING IN ECOLOGY AND CONSERVATION. |
MLA | Ledger, Martha J.,et al."Increased habitat availability as revealed by LiDAR contributes to the tropicalization of a subtropical butterfly community".REMOTE SENSING IN ECOLOGY AND CONSERVATION (2024). |
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