首页|Assessment of causes and future deforestation in the mountainous tropical forest of Timor Island, Indonesia

Assessment of causes and future deforestation in the mountainous tropical forest of Timor Island, Indonesia

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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 furore deforestation in the Mutis-Timau Forest Complex.We constructed models of deforestation that describe the rdationship 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 polities and supporting data for reducing emission from deforestation and forest degradation programme or other incentive schemes in reducing deforestation.

Mountainous tropical forestDeforestationSpatial statistical modelGeographic information systemReducing emission from deforestation and forest degradation

PUJIONO Eko、SADONO Ronggo、HARTONO、IMRON Muhammad Ali

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Faculty of Forestry, Universitas Gadjah Mada, Jl.Agro No.1, Yogyakarta 55281, Indonesia

Environment and Forestry Research and Development Institute of Kupang, Ministry of Environment and Forestry, Jl.Alfons Nisnoni No.7B, Kupang 85119, Indonesia

Faculty of Geography, Universitas Gadjah Mada, Sekip Utara, Jl.Kaliurang, Yogyakarta 55281, Indonesia

This study is funded by the Ministry of Environment and Forestry Republic of Indonesia through the research funding assistance pWe thank to Muhammad Alif K.Sahide for comments on an earlier version of the manuscript in Scientific Writing Workshop organizedWe are also grateful to Badan Penerbit dan Publikasi Universitas Gadjah Mada and Enago for language editing service

2019

山地科学学报(英文版)
中国科学院水利部成都山地灾害与环境研究所

山地科学学报(英文版)

CSTPCDCSCDSCI
影响因子：0.228
ISSN：1672-6316
年,卷(期)：2019.16(10)
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