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Degraded lands worth protecting: the biological importance of Southeast Asia's repeatedly logged forests
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Southeast Asia is a hotspot of imperiled biodiversity, owing to extensive logging and forest conversion to oil palm agriculture. The degraded forests that remain after multiple rounds of intensive logging are often assumed to be of little conservation value; consequently, there has been no concerted effort to prevent them from being converted to oil palm. However, no study has quantified the biodiversity of repeatedly logged forests. We compare the species richness and composition of birds and dung beetles within unlogged (primary), once-logged and twice-logged forests in Sabah, Borneo. Logging had little effect on the overall richness of birds. Dung beetle richness declined following once-logging but did not decline further after twice-logging. The species composition of bird and dung beetle communities was altered, particularly after the second logging rotation, but globally imperiled bird species (IUCN Red List) did not decline further after twice-logging. Remarkably, over 75 per cent of bird and dung beetle species found in unlogged forest persisted within twice-logged forest. Although twice-logged forests have less biological value than primary and once-logged forests, they clearly provide important habitat for numerous bird and dung beetle species. Preventing these degraded forests from being converted to oil palm should be a priority of policy-makers and conservationists.
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“in Indonesia, very low-productivity grasslands and logged forests are both categorized as degraded despite huge differences in their current use and the environmental impacts of conversion (Edwards et al., 2011;Fairhurst & McLaughlin, 2009;Woodcock et al., 2011).”
From Mapping the world's degraded lands (2015) · cites this paper as Edwards et al., 2011
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Metadata
- Authors
- Edwards, D. P., Larsen, T. H., Docherty, T. D. S., Ansell, F. A., Hsu, W. W., Derhé, M. A., Hamer, K. C., & Wilcove, D. S.
- Affiliations
- University of Leeds (GB)
- Princeton University (US)
- Institute of Integrative and Comparative Biology, University of Leeds, Leeds LS2 9JT, UK
- Columbia University (US)
- University of East Anglia (GB)
- Corresponding author
- Edwards, David P.
- Venue
- Proceedings of the Royal Society B Biological Sciences
- Publisher
- The Royal Society
- Published
- 2010-08-04
- Volume
- 278
- Issue
- 1702
- Pages
- 82-90
- ISSN
- 0080-4649 (ISSN-L)
- 0962-8452
- 1471-2954
- PMC
- PMC2992721
- OpenAlex
- W2158251983
- Cited by
- 360
- References
- 49
- Citations by year
- 2026: 7 · 2025: 8 · 2024: 11 · 2023: 10 · 2022: 15 · 2021: 21 · 2020: 23 · 2019: 28 · 2018: 23 · 2017: 24 · 2016: 31 · 2015: 32 · 2014: 39 · 2013: 32 · 2012: 28
- FWCI
- 23.42
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Proceedings of the Royal Society B Biological Sciences (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Physical Sciences › Environmental Science › Nature and Landscape Conservation › Ecology and Vegetation Dynamics Studies
- Life Sciences › Agricultural and Biological Sciences › Insect Science › Forest Ecology and Biodiversity Studies
- Physical Sciences › Environmental Science › Global and Planetary Change › Conservation, Biodiversity, and Resource Management
- Keywords
- oil palm conversion, bird species richness, dung beetles, species composition, logging intensity, IUCN Red List species, Borneo, Sabah, biodiversity conservation, habitat value
- MeSH terms
- Animals, Coleoptera, Birds, Borneo, Conservation of Natural Resources, Population Dynamics, Species Specificity, Trees, Forestry, Ecosystem, Biodiversity
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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