The rate, extent and spatial predictors of forest loss (2000-2012) in the terrestrial protected areas of the Philippines
Article
Article Title | The rate, extent and spatial predictors of forest loss (2000-2012) in the terrestrial protected areas of the Philippines |
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ERA Journal ID | 1998 |
Article Category | Article |
Authors | Apan, Armando (Author), Suarez, Luz Angelica (Author), Maraseni, Tek (Author) and Castillo, Jose Alan (Author) |
Journal Title | Applied Geography |
Journal Citation | 81, pp. 32-42 |
Number of Pages | 11 |
Year | 2017 |
Publisher | Elsevier |
Place of Publication | United Kingdom |
ISSN | 0143-6228 |
1873-7730 | |
Digital Object Identifier (DOI) | https://doi.org/10.1016/j.apgeog.2017.02.007 |
Web Address (URL) | https://www.journals.elsevier.com/applied-geography |
Abstract | While studies on deforestation of protected areas (PAs) have been conducted in many parts of the world, no comparative study has been done over an entire country in the tropics. Thus, we conducted a country-wide assessment of forest cover loss in all terrestrial protected areas of the Philippines, covering 198 PAs with a total area of 4.68 million ha. This study utilised Hansen’s Landsat-derived global maps of forest cover change from 2000-2012, with tree canopy cover data for 2000 as the base year. Correlation and logistic regression analyses were employed to determine the significance and magnitude of the relationships between forest cover and 11 predictor variables. The assessment of forest loss reveals that the terrestrial protected areas are generally effective in reducing forest loss. Over the 12-year period, the average rate (2.59%) of forest clearing in protected areas is marginally lower by 0.1% than the entire country (2.69%). Within the same duration, the average forest loss rate within the 2-km buffer zones of selected protected areas is 1.4 times of those inside PAs. However, there was a significant number of PAs with phenomenal forest cover loss in terms of extent (48,583 ha over 12 years) and rate (up to 21%). We found that spatial predictor variables included in this study have weak or no relationships with forest cover, and hence they are not reliable inputs for predictive modelling. Comprehensive assessments of deforestation are needed at the micro-scale (e.g. single PA level) level and relatively shorter historical timeframe (e.g. less than a decade), to generate useful information for policy formulation, planning, and management. |
Keywords | forest loss; protected areas; Philippines; logistic regression; deforestation |
ANZSRC Field of Research 2020 | 401302. Geospatial information systems and geospatial data modelling |
401304. Photogrammetry and remote sensing | |
410401. Conservation and biodiversity | |
410404. Environmental management | |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | School of Civil Engineering and Surveying |
Institute for Agriculture and the Environment | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q3xw7/the-rate-extent-and-spatial-predictors-of-forest-loss-2000-2012-in-the-terrestrial-protected-areas-of-the-philippines
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