The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.
Recovery and resilience of tropical forests after disturbance
Open accessAbstract
The time taken for forested tropical ecosystems to re-establish post-disturbance is of widespread interest. Yet to date there has been no comparative study across tropical biomes to determine rates of forest re-growth, and how they vary through space and time. Here we present results from a meta-analysis of palaeoecological records that use fossil pollen as a proxy for vegetation change over the past 20,000 years. A total of 283 forest disturbance and recovery events, reported in 71 studies, are identified across four tropical regions. Results indicate that forests in Central America and Africa generally recover faster from past disturbances than those in South America and Asia, as do forests exposed to natural large infrequent disturbances compared with post-climatic and human impacts. Results also demonstrate that increasing frequency of disturbance events at a site through time elevates recovery rates, indicating a degree of resilience in forests exposed to recurrent past disturbance.
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Role of forest regrowth in global carbon sink dynamics
Pugh, T. A. M., Lindeskog, M., Smith, B., Poulter, B., Arneth, A., Haverd, V., & Calle, L. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1810512116 · Cited by 731
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A global meta-analysis on the ecological drivers of forest restoration success
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Meli, P., Holl, K. D., Rey Benayas, J. M., Jones, H. P., Jones, P. C., Montoya, D., & Moreno Mateos, D. (2017) · PLOS ONE · doi:10.1371/journal.pone.0171368 · Cited by 455
Adding forests to the water–energy–food nexus
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Metadata
- Authors
- Cole, L. E. S., Bhagwat, S. A., & Willis, K. J.
- Venue
- Nature Communications
- Published
- 2014-05-20
- Volume
- 5
- Issue
- 1
- Pages
- 3906-3906
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W1987377114
- Cited by
- 279
- References
- 38
- FWCI
- 14.40
- Type
- journal article
- Language
- en
- Open access
- hybrid
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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