globalchange  > 气候变化与战略
DOI: 10.1073/pnas.2001823117
论文题名:
Maximizing the value of forest restoration for tropical mammals by detecting three-dimensional habitat associations
作者: Deere N.J.; Guillera-Arroita G.; Swinfield T.; Milodowski D.T.; Coomes D.A.; Bernard H.; Reynolds G.; Davies Z.G.; Struebig M.J.
刊名: Proceedings of the National Academy of Sciences of the United States of America
ISSN: 0027-8424
出版年: 2020
卷: 117, 期:42
起始页码: 26254
结束页码: 26262
语种: 英语
英文关键词: Ecological thresholds ; Forest degradation ; LiDAR ; Occupancy ; Prioritization
Scopus关键词: article ; Borneo ; canopy ; forest structure ; habitat ; human ; mammal ; nonhuman ; tropical rain forest
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.
Citation statistics:
被引频次[WOS]:24   [查看WOS记录]     [查看WOS中相关记录]
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/163990
Appears in Collections:气候变化与战略

Files in This Item:

There are no files associated with this item.


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., Durrell Institute of Conservation and Ecology, School of Anthropology and Conservation, University of Kent, Canterbury, CT2 7NR, United Kingdom; Struebig, M.J., Durrell Institute of Conservation and Ecology, School of Anthropology and Conservation, University of Kent, Canterbury, CT2 7NR, United Kingdom

Recommended Citation:
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]. Proceedings of the National Academy of Sciences of the United States of America,2020-01-01,117(42)
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Deere N.J.]'s Articles
[Guillera-Arroita G.]'s Articles
[Swinfield T.]'s Articles
百度学术
Similar articles in Baidu Scholar
[Deere N.J.]'s Articles
[Guillera-Arroita G.]'s Articles
[Swinfield T.]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Deere N.J.]‘s Articles
[Guillera-Arroita G.]‘s Articles
[Swinfield T.]‘s Articles
Related Copyright Policies
Null
收藏/分享
所有评论 (0)
暂无评论
 

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.