E. Pujiono, R. Sadono, Hartono, M. Imron, Pandu Yudha, Adi Putra Wirabuana
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We developed logistic regression using the forest degradation data obtained from forest canopy density time series maps as dependent variables and the spatial representation of the factors contributing to forest degradation, namely distance to the settlement, distance to the road, distance to agriculture, distance to the river, distance to the savanna, distance to the forest edge, slope, elevation, population density, and forest management unit, as independent variables. Our finding showed the increase in distance to the forest edge and elevation would decrease the likelihood of forest degradation, whereas the probability of forest degradation increases in forest located far from the river and the settlement. Such findings are important for the forest authority in prioritizing actions for combating forest degradation and designing appropriate forest-related policies and supporting data for reducing carbon emissions from forest degradation implementation or other incentive schemes in reducing forest degradation.","PeriodicalId":54313,"journal":{"name":"Journal of Sustainable Forestry","volume":"42 1","pages":"675 - 694"},"PeriodicalIF":1.2000,"publicationDate":"2022-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Factors Contributing to Forest Degradation in the Mountainous Tropical Forest: A Case Study of the Mutis-Timau Forest Complex, Indonesia\",\"authors\":\"E. Pujiono, R. Sadono, Hartono, M. 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Factors Contributing to Forest Degradation in the Mountainous Tropical Forest: A Case Study of the Mutis-Timau Forest Complex, Indonesia
ABSTRACT The Mutis-Timau Forest Complex, one of the remaining mountainous tropical forest areas in Timor Island, eastern Indonesia, has been exposed to significant deforestation and forest degradation. Numerous studies have highlighted the factors affecting deforestation. However, information about the factors influencing forest degradation at the local scope is still limited. To address this gap, we analyzed the factors contributing to forest degradation during the 1999–2017 period in the Mutis-Timau Forest Complex using a spatial statistical approach. We developed logistic regression using the forest degradation data obtained from forest canopy density time series maps as dependent variables and the spatial representation of the factors contributing to forest degradation, namely distance to the settlement, distance to the road, distance to agriculture, distance to the river, distance to the savanna, distance to the forest edge, slope, elevation, population density, and forest management unit, as independent variables. Our finding showed the increase in distance to the forest edge and elevation would decrease the likelihood of forest degradation, whereas the probability of forest degradation increases in forest located far from the river and the settlement. Such findings are important for the forest authority in prioritizing actions for combating forest degradation and designing appropriate forest-related policies and supporting data for reducing carbon emissions from forest degradation implementation or other incentive schemes in reducing forest degradation.
期刊介绍:
Journal of Sustainable Forestry publishes peer-reviewed, original research on forest science. While the emphasis is on sustainable use of forest products and services, the journal covers a wide range of topics from the underlying biology and ecology of forests to the social, economic and policy aspects of forestry. Short communications and review papers that provide a clear theoretical, conceptual or methodological contribution to the existing literature are also included in the journal.
Common topics covered in the Journal of Sustainable Forestry include:
• Ecology, management, recreation, restoration and silvicultural systems of all forest types, including urban forests
• All aspects of forest biology, including ecophysiology, entomology, pathology, genetics, tree breeding, and biotechnology
• Wood properties, forest biomass, bioenergy, and carbon sequestration
• Simulation modeling, inventory, quantitative methods, and remote sensing
• Environmental pollution, fire and climate change impacts, and adaptation and mitigation in forests
• Forest engineering, economics, human dimensions, natural resource policy, and planning
Journal of Sustainable Forestry provides an international forum for dialogue between research scientists, forest managers, economists and policy and decision makers who share the common vision of the sustainable use of natural resources.