Quantifying forest stocking changes in Sundarbans mangrove using remote sensing data

IF 5.7 Q1 ENVIRONMENTAL SCIENCES
Yaqub Ali , M. Mahmudur Rahman
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引用次数: 0

Abstract

The Sundarbans, the world's largest mangrove ecosystem, faces significant challenges from forest stocking changes due to natural and anthropogenic factors. Scientific studies on these changes are not available. This study uses remote sensing techniques to quantify long-term changes in mangrove forest canopy height, aboveground biomass (AGB), and forest carbon stocks. Using Shuttle Radar Topography Mission (SRTM) and Global Ecosystem Dynamics Investigation (GEDI) LiDAR data sets, we assessed canopy height and forest stocking changes, and changes in AGB carbon fluxes over the last two decades in the Sundarbans mangrove. Calibrated SRTM data provided tree canopy height (TCH) estimates for 2000, while calibrated GEDI LiDAR data facilitated assessments of TCH for 2023. The findings show substantial changes in TCH, AGB, and carbon stock distribution in the Sundarbans mangrove between 2000 and 2023. TCH in the 5–10 m class notably increased from 58.3% in 2000 to 70.8% in 2023, while TCH above 15 m decreased, and those under 5 m regrew. Higher AGB carbon classes (>50 tons ha⁻1) decreased, with only the lowest class (<50 tons ha⁻1) increased, indicating notable forest carbon stock reduction due to deforestation and forest degradation. Approximately 1571 Kt of AGB carbon were lost over 23 years, which represents around 4% of the total stock. The driving forces of forest stocking changes could be the changes in the dynamic energy balance from the estuarine river system and the tidal waves, relative sea-level change, increases of salinity in various zones of Sundarbans mangrove, other anthropogenic factors, etc. This research provides valuable insights into Sundarbans mangrove dynamics, aiding global forest degradation and forest growth in understanding forest stocking change and their role in terrestrial carbon flux and global climate change. The results will be helpful for the forest manager in identifying the locations where there is forest degradation or enhancement of forest growing stock and planning any silvicultural operations that are needed in the forest. This is also useful for climate change scientists to understand probable man-made or natural driving forces of the changes in forest stocking in the Sundarbans mangrove forests. It underscores the urgency of integrating deforestation and forest degradation into climate strategies for effective carbon management and conservation efforts, that align with carbon sequestration goals, contributing to broader climate change mitigation strategies.
利用遥感数据量化孙德尔本斯红树林的森林载畜变化
孙德尔本斯是世界上最大的红树林生态系统,由于自然和人为因素,森林蓄积量的变化面临着重大挑战。目前还没有关于这些变化的科学研究。本研究利用遥感技术量化了红树林冠层高度、地上生物量和森林碳储量的长期变化。利用航天飞机雷达地形任务(SRTM)和全球生态系统动力学调查(GEDI)激光雷达数据集,评估了近20年来孙德尔本斯红树林的冠层高度、森林蓄积量变化以及AGB碳通量的变化。校准的SRTM数据提供了2000年的树冠高度(TCH)估计,而校准的GEDI激光雷达数据有助于评估2023年的树冠高度。研究结果表明,2000 - 2023年,孙德尔本斯红树林的TCH、AGB和碳储量分布发生了实质性变化。5 ~ 10 m级的总含水率从2000年的58.3%显著增加到2023年的70.8%,15 m以上的总含水率下降,5 m以下的总含水率恢复。较高的AGB碳等级(50吨)减少了,只有最低的碳等级(50吨)增加了,这表明由于森林砍伐和森林退化,森林碳储量显著减少。在过去的23年里,大约损失了1571 Kt的AGB碳,约占总储量的4%。森林蓄积量变化的驱动力可能是河口水系与潮汐动态能量平衡的变化、相对海平面的变化、孙德尔本斯红树林各带盐度的升高以及其他人为因素等。这项研究为了解孙德尔本斯红树林的动态提供了有价值的见解,有助于了解全球森林退化和森林生长的变化及其在陆地碳通量和全球气候变化中的作用。研究结果将有助于森林管理者查明森林退化或森林蓄积量增加的地点,并规划森林中所需的任何造林作业。这对气候变化科学家了解孙德尔本斯红树林森林放养变化的可能人为或自然驱动力也很有用。报告强调,迫切需要将毁林和森林退化纳入气候战略,以便开展有效的碳管理和养护工作,并与碳封存目标保持一致,促进更广泛的气候变化缓解战略。
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12.20
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