Assessment of causes and future deforestation in the mountainous tropical forest of Timor Island, Indonesia
文献类型：期刊论文
| 作者 | Pujiono, Eko; Sadono, Ronggo; Hartono; Imron, Muhammad Ali |
| 刊名 | JOURNAL OF MOUNTAIN SCIENCE
 |
| 出版日期 | 2019 |
| 卷号 | 16期号:10页码:2215-2231 |
| 关键词 | Mountainous tropical forest Deforestation Spatial statistical model Geographic information system Reducing emission from deforestation and forest degradation |
| ISSN号 | 1672-6316 |
| DOI | 10.1007/s11629-019-5480-1 |
| 文献子类 | Article |
| 英文摘要 | The Mutis-Timau Forest Complex, one of the remaining mountainous tropical forest areas in Timor Island, eastern Indonesia that covers an area of 31,984 ha, tends to decrease gradually. Efforts to secure mountain forest functions and counteract the negative impact of declining forest areas are often constrained by data uncertainty on factors contributing to deforestation. For this reason, this study attempts to develop models of deforestation and predict future deforestation in the Mutis-Timau Forest Complex. We constructed models of deforestation that describe the relationship between deforestation and factors contributing to deforestation using spatial statistical models. In this model, we used the deforestation data for the 1987-2017 period obtained from a previous study as dependent variables and the potential causes of deforestation generated from Geographic Information System spatial analysis as independent variables. Using the probability of deforestation derived from the model, we predicted future deforestation under two different scenarios, namely, business-as-usual (as the reference scenario) and reducing emission from deforestation and forest degradation. Our findings showed that a positive relationship exists between probability of deforestation, distance to the settlement, and population density variables, whereas a negative relationship exists between likelihood of deforestation, elevation, slope, distance to the road, distance to the savanna, and forest management unit variables. During the 2017-2030 period, under the business-as-usual scenario, the Mutis-Timau Forest Complex will lose 1327.65 ha in forest area with an annual deforestation rate of 0.54%. Meanwhile, under the reducing emission from deforestation and forest degradation scenario, the overall forest loss was estimated to be 1237.11 ha with an annual deforestation rate of 0.50%. The predicted area of avoided deforestation in 2017-2030 under the reducing emission from deforestation and forest degradation scenario was 90.54 ha. Such data and information are important for the Mutis-Timau Forest Complex authority in prioritizing actions for combating deforestation and designing appropriate forest-related policies and supporting data for reducing emission from deforestation and forest degradation programme or other incentive schemes in reducing deforestation. |
| 电子版国际标准刊号 | 1993-0321 |
| 语种 | 英语 |
| WOS记录号 | WOS:000489956000001 |
| 源URL | [http://ir.imde.ac.cn/handle/131551/46587]  |
| 专题 | Journal of Mountain Science_Journal of Mountain Science-2019_Vol16 No.10 |
| 推荐引用方式 GB/T 7714 | Pujiono, Eko,Sadono, Ronggo,Hartono,et al. Assessment of causes and future deforestation in the mountainous tropical forest of Timor Island, Indonesia[J]. JOURNAL OF MOUNTAIN SCIENCE,2019,16(10):2215-2231. |
| APA | Pujiono, Eko,Sadono, Ronggo,Hartono,&Imron, Muhammad Ali.(2019).Assessment of causes and future deforestation in the mountainous tropical forest of Timor Island, Indonesia.JOURNAL OF MOUNTAIN SCIENCE,16(10),2215-2231. |
| MLA | Pujiono, Eko,et al."Assessment of causes and future deforestation in the mountainous tropical forest of Timor Island, Indonesia".JOURNAL OF MOUNTAIN SCIENCE 16.10(2019):2215-2231. |
入库方式： OAI收割
来源：成都山地灾害与环境研究所
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