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":1,"journal":{"name":"Accounts of Chemical Research","volume":null,"pages":null},"PeriodicalIF":16.4000,"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:
Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance.
Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.