Journal article
Predicting landscape‐scale biodiversity recovery by natural tropical forest regrowth
Conservation Biology, Vol.36(3), pp.1-12
2022
PMID: 34705299
Abstract
Natural forest regrowth is a cost-effective, nature-based solution for biodiversity recovery, yet different socioenvironmental factors can lead to variable outcomes. A critical knowledge gap in forest restoration planning is how to predict where natural forest regrowth is likely to lead to high levels of biodiversity recovery, which is an indicator of conservation value and the potential provisioning of diverse ecosystem services. We sought to predict and map landscape-scale recovery of species richness and total abundance of vertebrates, invertebrates, and plants in tropical and subtropical second-growth forests to inform spatial restoration planning. First, we conducted a global meta-analysis to quantify the extent to which recovery of species richness and total abundance in second-growth forests deviated from biodiversity values in reference old-growth forests in the same landscape. Second, we employed a machine-learning algorithm and a comprehensive set of socioenvironmental factors to spatially predict landscape-scale deviation and map it. Models explained on average 34% of observed variance in recovery (range 9–51%). Landscape-scale biodiversity recovery in second-growth forests was spatially predicted based on socioenvironmental landscape factors (human demography, land use and cover, anthropogenic and natural disturbance, ecosystem productivity, and topography and soil chemistry); was significantly higher for species richness than for total abundance for vertebrates (median range-adjusted predicted deviation 0.09 vs. 0.34) and invertebrates (0.2 vs. 0.35) but not for plants (which showed a similar recovery for both metrics [0.24 vs. 0.25]); and was positively correlated for total abundance of plant and vertebrate species (Pearson r = 0.45, p = 0.001). Our approach can help identify tropical and subtropical forest landscapes with high potential for biodiversity recovery through natural forest regrowth.
Details
- Title
- Predicting landscape‐scale biodiversity recovery by natural tropical forest regrowth
- Authors
- Pablo V Prieto (Corresponding Author) - Pontifícia Universidade Católica do Rio de JaneiroJacob J Bukoski (Author) - University of California, BerkeleyFelipe S. M Barros (Author) - International Institute for Sustainability AustraliaHawthorne L Beyer (Author) - The University of QueenslandAlvaro Iribarrem (Author) - Pontifícia Universidade Católica do Rio de JaneiroPedro H. S Brancalion (Author) - University of Sao PauloRobin L Chazdon (Author) - University of the Sunshine CoastDavid B Lindenmayer (Author) - Australian National UniversityBernardo B. N Strassburg (Author) - Pontifícia Universidade Católica do Rio de JaneiroManuel R Guariguata (Author) - Center for International Forestry ResearchRenato Crouzeilles (Author) - Universidade Veiga de Almeida
- Publication details
- Conservation Biology, Vol.36(3), pp.1-12
- Publisher
- Wiley-Blackwell Publishing, Inc
- Date published
- 2022
- DOI
- 10.1111/cobi.13842
- ISSN
- 1523-1739
- PMID
- 34705299
- Copyright note
- This is the peer reviewed version of the following article: Prieto, P.V., Bukoski, J.J., Barros, F.S.M., Beyer, H.L., Iribarrem, A., Brancalion, P.H.S., Chazdon, R.L., Lindenmayer, D.B., Strassburg, B.B.N., Guariguata, M.R. and Crouzeilles, R. (2022), Predicting landscape-scale biodiversity recovery by natural tropical forest regrowth. Conservation Biology. Accepted Author Manuscript. https://doi.org/10.1111/cobi.13842, which has been published in final form at https://doi.org/10.1111/cobi.13842. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. This article may not be enhanced, enriched or otherwise transformed into a derivative work, without express permission from Wiley or by statutory rights under applicable legislation. Copyright notices must not be removed, obscured or modified. The article must be linked to Wiley’s version of record on Wiley Online Library and any embedding, framing or otherwise making available the article or pages thereof by third parties from platforms, services and websites other than Wiley Online Library must be prohibited.
- Grant note
- This research was funded by the United States Agency for International Development. M.R.G. acknowledges funding from the CGIAR Program on Forests, Trees and Agroforestry.
- Organisation Unit
- Tropical Forests and People Research Centre; Forest Research Institute
- Language
- English
- Record Identifier
- 99584903502621
- Output Type
- Journal article
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web Of Science research areas
- Biodiversity Conservation
- Ecology
- Environmental Sciences