首页> 外文期刊>Environment, development and sustainability >Examining forest cover change and deforestation drivers in Taunggyi District, Shan State, Myanmar
【24h】

Examining forest cover change and deforestation drivers in Taunggyi District, Shan State, Myanmar

机译:审查江北,山州桃园区森林覆盖变化与森林砍伐司机

获取原文
获取原文并翻译 | 示例
       

摘要

Myanmar has been experiencing a significant amount of deforestation and forest degradation in recent years. Being a developing country, people are heavily dependent on its forest for sustenance and livelihood. This study examines a methodology to identify potential drivers and their relative significance for deforestation. The study was tested in one of the districts but could be applied in other areas of the country. The forest and non-forest land cover maps from the Japan Aerospace Exploration Agency (JAXA) for the years 2008 and 2016 were used in the study. It was derived that 46.54% of study area is still covered with forest, but there has been a significant decrease in forest area by 7.29% between the years 2008 and 2016. We examined a number of spatially explicit potential drivers of deforestation such as infrastructure, elevation, slope, deforested land, and population. As informed prevention awareness of deforestation, we projected future forest conditions using a cellular automation modeling technique for the years 2020, 2025 and 2030. We found that major physical and socioeconomic driving factors of deforestation such as proximity to infrastructure (reservoirs and roads), certain elevation levels, slope, proximity to previously deforested area and population density are strongly associated with neighborhood deforestation. The future projection showed a decrease in forest area by 13.8% from 2016 to 2030. This work therefore provides crucial information on forest landscape for forest management in the district. The projective scenario of study area generated by the model highlights the need for forest conservation and planning while addressing the key drivers of deforestation, giving direction for future potential areas of REDD+ implementation in the region.
机译:缅甸近年来一直在经历大量的森林森林和森林退化。作为一个发展中国家,人们严重依赖其森林,以获得寄托和生计。本研究审查了一种识别潜在驾驶员的方法及其对森林砍伐的相对意义。该研究在其中一个地区进行了测试,但可以应用于该国的其他地区。 2008年和2016年日本航天勘探机构(JAXA)的森林和非林地覆盖地图是在该研究中使用的。它被衍生的是,46.54%的研究区仍然被森林覆盖,但2008年和2016年之间森林面积显着下降7.29%。我们在基础设施等森林砍伐潜在驾驶员中审查了一些空间明确的潜在驱动因素,如基础设施,海拔,坡,森林砍伐土地和人口。随着预防对森林砍伐的认识,我们使用蜂窝自动化建模技术预测了2020年,2025年和2030年的蜂窝自动化建模技术。我们发现森林砍伐的主要物理和社会经济驾驶因素,如基础设施(储层和道路)附近高程水平,坡度,接近以前森林的区域和人口密度与邻域砍伐森林强烈有关。 2016年至2030年,未来预测显示森林面积减少13.8%。因此,这项工作为该地区森林管理森林景观提供了重要信息。模型产生的研究区域的投影场景突出了对森林保护和规划的需求,同时解决了砍伐森林的关键驱动因素,给出了该地区的未来潜在领域的指示。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号