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人类干预导致了孟加拉国第二大红树林——恰卡利亚·孙德尔本斯的大规模破坏。

Human intervention caused massive destruction of the second largest mangrove forest, Chakaria Sundarbans, Bangladesh.

机构信息

Department of Oceanography, University of Chittagong, Chattogram, 4331, Bangladesh.

Aquatic Eco-Health Group (AEHG), Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, 1799 Jimei Road, Xiamen, 361021, China.

出版信息

Environ Sci Pollut Res Int. 2024 Apr;31(17):25329-25341. doi: 10.1007/s11356-024-32792-2. Epub 2024 Mar 12.

Abstract

Mangroves provide essential ecosystem services including coastal protection by acting as coastal greenbelts; however, human-driven anthropogenic activities altered their existence and ecosystem functions worldwide. In this study, the successive degradation of the second largest mangrove forest, Chakaria Sundarbans situated at the northern Bay of Bengal part of Bangladesh was assessed using remote sensing approaches. A total of five multi-temporal Landsat satellite imageries were collected and used to observe the land use land cover (LULC) changes over the time periods for the years 1972, 1990, 2000, 2010, and 2020. Further, the supervised classification technique with the help of support vector machine (SVM) algorithm in ArcGIS 10.8 was used to process images. Our results revealed a drastic change of Chakaria Sundarbans mangrove forest, that the images of 1972 were comprised of mudflat, waterbody, and mangroves, while the images of 1990, 2000, 2010, and 2020 were classified as waterbody, mangrove, saltpan, and shrimp farm. Most importantly, mangrove forest was the largest covering area a total of 64.2% in 1972, but gradually decreased to 12.7%, 6.4%, 1.9%, and 4.6% for the years 1990, 2000, 2010, and 2020, respectively. Interestingly, the rate of mangrove forest area degradation was similar to the net increase of saltpan and shrimp farms. The kappa coefficients of classified images were 0.83, 0.87, 0.80, 0.87, and 0.91 with the overall accuracy of 88.9%, 90%, 85%, 90%, and 93.3% for the years 1972, 1990, 2000, 2010, and 2020, respectively. By analyzing normalized difference vegetation index (NDVI), soil adjusted vegetation index (SAVI), and transformed difference vegetation index (TDVI), our results validated that green vegetated area was decreased alarmingly with time in this study area. This destruction was mainly related to active human-driven anthropogenic activities, particularly creating embankments for fish farms or salt productions, and cutting for collection of wood as well. Together all, our results provide clear evidence of active anthropogenic stress on coastal ecosystem health by altering mangrove forest to saltpan and shrimp farm saying goodbye to the second largest mangrove forest in one of the coastal areas of the Bay of Bengal, Bangladesh.

摘要

红树林提供了重要的生态系统服务,包括充当沿海绿化带的海岸保护;然而,人类驱动的人为活动改变了它们在全球的存在和生态系统功能。在这项研究中,使用遥感方法评估了位于孟加拉国北部孟加拉湾部分的第二大红树林 Chakaria Sundarbans 的连续退化情况。共收集了五张多时期 Landsat 卫星图像,并用于观察 1972 年、1990 年、2000 年、2010 年和 2020 年期间的土地利用/土地覆盖(LULC)变化。此外,还在 ArcGIS 10.8 中借助支持向量机(SVM)算法使用监督分类技术处理图像。我们的结果显示 Chakaria Sundarbans 红树林发生了剧烈变化,1972 年的图像包括泥滩、水体和红树林,而 1990 年、2000 年、2010 年和 2020 年的图像则分为水体、红树林、盐田和虾养殖场。最重要的是,红树林的覆盖面积最大,1972 年总面积为 64.2%,但逐年减少到 1990 年的 12.7%、2000 年的 6.4%、2010 年的 1.9%和 2020 年的 4.6%。有趣的是,红树林面积减少的速度与盐田和虾养殖场的净增加速度相似。分类图像的kappa 系数分别为 0.83、0.87、0.80、0.87 和 0.91,1972 年、1990 年、2000 年、2010 年和 2020 年的总体准确率分别为 88.9%、90%、85%、90%和 93.3%。通过分析归一化差异植被指数(NDVI)、土壤调整植被指数(SAVI)和转换差异植被指数(TDVI),我们的结果验证了该研究区域的绿色植被面积随着时间的推移惊人地减少。这种破坏主要与人类驱动的人为活动有关,特别是为鱼类养殖场或盐生产建造堤坝,以及砍伐木材用于收集。总的来说,我们的结果提供了明确的证据,表明人为活动对沿海生态系统健康造成了积极的压力,将红树林转变为盐田和虾养殖场,告别了孟加拉国孟加拉湾沿海地区的第二大红树林。

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