Journal article
Identifying interactions among reforestation success drivers: A case study from the Philippines
Ecological Modelling, Vol.316, pp.62-77
2015
Abstract
Reforestation is an expensive undertaking. It is a long-term, complex, and trans-disciplinary process and it involves uncertainties and changing conditions. There is also a complex array of drivers (including biophysical, technical, socio-economic, institutional, and management drivers) that affect reforestation success. Previous research has documented the independent effects of biophysical and technical, environmental and socio-economic drivers on reforestation success. However, research over the last decade has revealed that the outcome of multiple factor interactions is commonly non-additive (i.e. synergies and antagonisms). Therefore, in order to provide better decision support for reforestation planning and policy setting it is necessary to understand the interactive effects that drivers have on reforestation success. To understand these interactive effects, we developed a Bayesian network model based on data collected from 43 reforestation projects on Leyte Island, the Philippines. Non-additive interactions among reforestation success drivers (i.e. synergies and antagonisms) were found to account for up to 90% of interactions tested. This result suggests an urgent need to account for these non-additive interactions in reforestation policy and planning in order to avoid unanticipated outcomes, wasted effort and missed opportunities.
Details
- Title
- Identifying interactions among reforestation success drivers: A case study from the Philippines
- Authors
- Hai Dinh Le (Author) - University of QueenslandCarl Smith (Author) - University of QueenslandJohn L Herbohn (Author) - University of the Sunshine Coast - Faculty of Arts and Business
- Publication details
- Ecological Modelling, Vol.316, pp.62-77
- Publisher
- Elsevier BV
- Date published
- 2015
- DOI
- 10.1016/j.ecolmodel.2015.08.005
- ISSN
- 0304-3800
- Organisation Unit
- Australian Centre for Pacific Islands Research; Tropical Forests and People Research Centre; University of the Sunshine Coast, Queensland; Forest Research Institute
- Language
- English
- Record Identifier
- 99450063902621
- Output Type
- Journal article
Metrics
12 File views/ downloads
522 Record Views
InCites Highlights
These are selected metrics from InCites Benchmarking & Analytics tool, related to this output
- Collaboration types
- Domestic collaboration
- International collaboration
- Web Of Science research areas
- Ecology