Maximizing the value of forest restoration for tropical mammals by detecting three-dimensional habitat associations
| العنوان: | Maximizing the value of forest restoration for tropical mammals by detecting three-dimensional habitat associations |
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| المؤلفون: | Tom Swinfield, David A. Coomes, Nicolas J. Deere, Zoe G. Davies, Matthew J. Struebig, Glen Reynolds, David T. Milodowski, Henry Bernard, Gurutzeta Guillera-Arroita |
| المصدر: | Proceedings of the National Academy of Sciences of the United States of America Deere, N J, Guillera-arroita, G, Swinfield, T, Milodowski, D T, Coomes, D A, Bernard, H, Reynolds, G, Davies, Z G & 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, pp. 202001823 . https://doi.org/10.1073/pnas.2001823117 |
| بيانات النشر: | Proceedings of the National Academy of Sciences, 2020. |
| سنة النشر: | 2020 |
| مصطلحات موضوعية: | 0106 biological sciences, Conservation of Natural Resources, LiDAR, 010504 meteorology & atmospheric sciences, Occupancy, forest degradation, Wildlife, Biodiversity, QH75, Forests, Sustainability Science, 010603 evolutionary biology, 01 natural sciences, Forest restoration, Borneo, QH541, Animals, Ecosystem, Environmental Restoration and Remediation, occupancy, 0105 earth and related environmental sciences, Mammals, Tropical Climate, Multidisciplinary, Ecology, ecological thresholds, prioritization, Models, Theoretical, Plants, Biological Sciences, 15. Life on land, Habitat, Disturbance (ecology), Physical Sciences, Camera trap, Environmental science |
| الوصف: | Significance Forest restoration has become a global conservation priority, particularly in the tropics where a significant proportion of remaining forest ecosystems are degraded. To achieve ambitious restoration targets via limited conservation funds, areas that will deliver the greatest biodiversity value must be prioritized. Here, we combine airborne laser scanning with an extensive camera trap dataset to target conservation and restoration across a degraded logged forest gradient. We demonstrate the importance of accounting for three-dimensional habitat structure when defining forest suitability and restoration potential for mammals. Consequently, we provide a robust quantitative framework to prioritize degraded forest restoration based on biodiversity considerations. 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 (LiDAR) 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. |
| وصف الملف: | application/pdf |
| تدمد: | 1091-6490 0027-8424 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ec525d47b9aeb77197ee516907cec5d5 https://doi.org/10.1073/pnas.2001823117 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi.dedup.....ec525d47b9aeb77197ee516907cec5d5 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 10916490 00278424 |
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