School of Geographical Sciences and Urban Planning, Arizona State University, USA.
School of Geographical Sciences and Urban Planning, Arizona State University, USA.
Sci Total Environ. 2016 Nov 1;569-570:1241-1254. doi: 10.1016/j.scitotenv.2016.06.200. Epub 2016 Jul 5.
Sweeping across Bangladesh and India, the Sundarbans forest is the world's largest contiguous mangrove forest. Although the human population density is high at the edge, Sundarbans has not encountered significant areal transformation in the last four decades. However, we argue that forest degradation can occur discontinuously within the forest without alteration of the entire forest area. In this paper, we used MODIS land products to compare the spatiotemporal ecological dynamics of the Bangladesh and Indian part of this mangrove forest between 2000 and 2010. We used the following 5 ecological parameters for our analysis: the Percent Tree Cover (PTC), Enhanced Vegetation Index (EVI), Net Primary Productivity (NPP), Leaf Area Index (LAI), and Evapotranspiration (ET). Our pixel-based time-series trend analysis for each MODIS image stack, using an ordinary least square (OLS) regression method, showed that forest degradation is happening in fragmented parcels within the forest. The degradation rate is comparatively higher in the Bangladesh part than in the Indian part of Sundarbans. Compartments 8, 10, 12, and 15 in the Bangladesh part, in particular, show high degradation, while compartment 48 and the southern edge of 45 show slight increases in PTC or EVI. Forest degradation in the Indian part of the forest is evident in the National Park and Reserve Forest blocks; however, no substantial degradation is evident in the western section. We have identified certain anthropogenic stressors (i.e., oil pollution, shrimp farming) and natural stressors (i.e., increased salinity, cyclones, forest fire) which might be responsible for the observed degradation. We have provided sustainable planning options and policy transformation alternatives for those areas under pressure from these stressors. We anticipate that our analysis of forest degradation will help management agencies, conservators, and policy makers achieve better management of this world's largest mangrove forest for a sustainable future.
横跨孟加拉国和印度的孙德尔本斯森林是世界上最大的连续红树林。尽管边缘地区的人口密度很高,但在过去四十年中,孙德尔本斯并没有发生显著的面积变化。然而,我们认为森林退化可能会在森林内部不连续地发生,而不会改变整个森林面积。在本文中,我们使用 MODIS 陆地产品来比较 2000 年至 2010 年期间这个红树林的孟加拉国和印度部分的时空生态动态。我们使用以下 5 个生态参数进行分析:树木覆盖百分比(PTC)、增强植被指数(EVI)、净初级生产力(NPP)、叶面积指数(LAI)和蒸散量(ET)。我们对每个 MODIS 图像堆栈的基于像素的时间序列趋势分析,使用普通最小二乘法(OLS)回归方法,表明森林退化正在森林内的碎片区域发生。退化率在孟加拉国部分比在孙德尔本斯的印度部分更高。孟加拉国部分的 8 号、10 号、12 号和 15 号隔室,特别是显示出较高的退化率,而 48 号隔室和 45 号的南部边缘则显示出 PTC 或 EVI 的轻微增加。印度部分森林的退化在国家公园和保护区森林区块中很明显;然而,在西部部分没有明显的退化。我们已经确定了一些人为压力源(即石油污染、虾养殖)和自然压力源(即盐分增加、气旋、森林火灾),这些可能是导致观察到的退化的原因。我们为那些受到这些压力源影响的地区提供了可持续规划方案和政策转变的替代方案。我们预计,我们对森林退化的分析将有助于管理机构、保护者和决策者更好地管理这个世界上最大的红树林,以实现可持续的未来。