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Published VersionCC BY V4.0, Open Access
Journal article
The community capacity curve applied to reforestation: a framework to support success
Royal Society of London. Philosophical Transactions B. Biological Sciences, Vol.378(1867), pp.1-15
2023
PMID: 36373918
Abstract
Community involvement is critical for the success of many interventions designed to promote reforestation. To secure this involvement, it helps to recognize that communities are heterogenous both within and among themselves and possess diverse mixes of livelihood assets required to implement reforestation. We explore the relationship between livelihood assets and reforestation success and outline a conceptual model that we call the community capacity curve (CCC) applied to reforestation. We argue that the shape of the CCC is sigmoidal. Importantly, communities at the lower end of the CCC have limited capacity to implement reforestation projects without substantial and ongoing capacity building and other sorts of support, including through livelihood projects that improve food security and provide cash benefits. Communities at the higher part of the CCC have greater capacity to implement reforestation projects, especially projects focused on biodiversity and environmental services. The CCC can help design, implement, monitor and assess reforestation projects, select appropriate livelihood activities and types of reforestation, select communities suited to a reforestation project, guide implementation and understand projects' successes and failure. The CCC also provides a framework to engage with policy makers and funding bodies to explore the types of support for communities to reforest successfully.
This article is part of the theme issue ‘Understanding forest landscape restoration: reinforcing scientific foundations for the UN Decade on Ecosystem Restoration’.
Details
- Title
- The community capacity curve applied to reforestation: a framework to support success
- Authors
- John Herbohn (Author) - University of the Sunshine Coast, Queensland, Tropical Forests and People Research CentreLiz Ota (Author) - University of the Sunshine Coast, Queensland, Tropical Forests and People Research CentreNestor Gregorio (Author) - University of the Sunshine Coast, Queensland, Tropical Forests and People Research CentreRobin Chazdon (Author) - University of the Sunshine Coast, Queensland, Tropical Forests and People Research CentreRobert Fisher (Author) - University of the Sunshine Coast, Queensland, Tropical Forests and People Research CentreJack Baynes (Author) - University of the Sunshine Coast, Queensland, Tropical Forests and People Research CentreGrahame Applegate (Author) - University of the Sunshine Coast, Queensland, Tropical Forests and People Research CentreTony Page (Author) - University of the Sunshine Coast, Queensland, Tropical Forests and People Research CentreDora Carias (Author) - University of the Sunshine Coast, Queensland, Tropical Forests and People Research CentreClaudia Romero (Author) - University of FloridaFrancis E. Putz (Author) - Department of Biology, University of Florida, Gainesville, FL 32611-8526, USAJennifer Firn (Author) - Queensland University of Technology
- Publication details
- Royal Society of London. Philosophical Transactions B. Biological Sciences, Vol.378(1867), pp.1-15
- Publisher
- The Royal Society Publishing
- Date published
- 2023
- DOI
- 10.1098/rstb.2021.0079
- ISSN
- 1471-2970; 0962-8436
- PMID
- 36373918
- Copyright note
- © 2022 The Authors. Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.
- Grant note
- ASEM/2016/103; FST/2016/153; FST/2016/154 / Australian Centre for International Agricultural Research (http://dx.doi.org/10.13039/501100000974)
- Organisation Unit
- Australian Centre for Pacific Islands Research; Tropical Forests and People Research Centre; University of the Sunshine Coast, Queensland; Forest Industries Research Centre; Forest Research Institute; Sustainability Research Cluster
- Language
- English
- Record Identifier
- 99690698302621
- Output Type
- Journal article
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