气候变化领域集成服务门户(CCPortal): Maximizing the value of forest restoration for tropical mammals by detecting three-dimensional habitat associations

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DOI	10.1073/pnas.2001823117
	Maximizing the value of forest restoration for tropical mammals by detecting three-dimensional habitat associations
	Deere N.J.; Guillera-Arroita G.; Swinfield T.; Milodowski D.T.; Coomes D.A.; Bernard H.; Reynolds G.; Davies Z.G.; Struebig M.J.
发表日期	2020
ISSN	0027-8424
起始页码	26254
结束页码	26262
卷号	117 期号:42
英文摘要	Tropical forest ecosystems are facing unprecedented levels of degradation, severely compromising habitat suitability for wildlife. Despite the fundamental role biodiversity plays in forest regeneration, identifying and prioritizing degraded forests for restoration or conservation, based on their wildlife value, remains a significant challenge. Efforts to characterize habitat selection are also weakened by simple classifications of human-modified tropical forests as intact vs. degraded, which ignore the influence that three-dimensional (3D) forest structure may have on species distributions. Here, we develop a framework to identify conservation and restoration opportunities across logged forests in Borneo. We couple high-resolution airborne light detection and ranging (Li- DAR) and camera trap data to characterize the response of a tropical mammal community to changes in 3D forest structure across a degradation gradient. Mammals were most responsive to covariates that accounted explicitly for the vertical and horizontal characteristics of the forest and actively selected structurally complex environments comprising tall canopies, increased plant area index throughout the vertical column, and the availability of a greater diversity of niches. We show that mammals are sensitive to structural simplification through disturbance, emphasizing the importance of maintaining and enhancing structurally intact forests. By calculating occurrence thresholds of species in response to forest structural change, we identify areas of degraded forest that would provide maximum benefit for multiple high-conservation value species if restored. The study demonstrates the advantages of using LiDAR to map forest structure, rather than relying on overly simplistic classifications of human-modified tropical forests, for prioritizing regions for restoration. © 2020 National Academy of Sciences. All rights reserved.
英文关键词	Ecological thresholds; Forest degradation; LiDAR; Occupancy; Prioritization
语种	英语
scopus关键词	article; Borneo; canopy; forest structure; habitat; human; mammal; nonhuman; tropical rain forest
来源期刊	Proceedings of the National Academy of Sciences of the United States of America
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/160763
作者单位	Deere, N.J., Durrell Institute of Conservation and Ecology, School of Anthropology and Conservation, University of Kent, Canterbury, CT2 7NR, United Kingdom; Guillera-Arroita, G., School of Biosciences, University of Melbourne, Parkville, VIC 3052, Australia; Swinfield, T., Department of Plant Sciences, University of Cambridge Conservation Research Institute, Cambridge, CB2 3QZ, United Kingdom, Centre for Conservation Science, Royal Society for the Protection of Birds, Cambridge, CB2 3QY, United Kingdom; Milodowski, D.T., School of GeoSciences, University of Edinburgh, Edinburgh, EH8 9XP, United Kingdom; Coomes, D.A., Department of Plant Sciences, University of Cambridge Conservation Research Institute, Cambridge, CB2 3QZ, United Kingdom; Bernard, H., Institute for Tropical Biology and Conservation, Universiti Malaysia Sabah, Kota Kinabalu, Sabah, 88450, Malaysia; Reynolds, G., South East Asia Rainforest Research Partnership, Danum Valley Field Centre, Lahad Datu, Sabah, 91112, Malaysia; Davies, Z.G., Du...
推荐引用方式 GB/T 7714	Deere N.J.,Guillera-Arroita G.,Swinfield T.,et al. Maximizing the value of forest restoration for tropical mammals by detecting three-dimensional habitat associations[J],2020,117(42).
APA	Deere N.J..,Guillera-Arroita G..,Swinfield T..,Milodowski D.T..,Coomes D.A..,...&Struebig M.J..(2020).Maximizing the value of forest restoration for tropical mammals by detecting three-dimensional habitat associations.Proceedings of the National Academy of Sciences of the United States of America,117(42).
MLA	Deere N.J.,et al."Maximizing the value of forest restoration for tropical mammals by detecting three-dimensional habitat associations".Proceedings of the National Academy of Sciences of the United States of America 117.42(2020).