Machine learning-based mapping wetland dynamics of the largest freshwater lake in China

IF 3.5 2区 环境科学与生态学 Q1 BIODIVERSITY CONSERVATION
Fangyuan Bu , Zhijun Dai , Xuefei Mei , Ao Chu , Jinping Cheng , Ling Lan
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Abstract

Lake wetlands are critical components of freshwater ecosystems, providing crucial roles in water regulation and biodiversity conservation. However, these lake wetlands are experiencing pervasive and often irreparable losses due to anthropogenic activities and climate change. This study utilizes remote sensing imagery from 1987 to 2023 based on a machine learning technique to analyze the dynamic changes in the wetlands of Poyang Lake, the largest freshwater lake in China. The results revealed a substantial decline in Poyang's wetland area, totaling 242.71 km2 over the study period. The mudflat areas within the wetlands demonstrated a marked reduction of 64 %, equating to a loss of 617.60 km², predominantly in the northern zone of the lake. In contrast, vegetation coverage increased significantly by 36 %, rising from 1035.32 km² in 1987 to 1411.99 km² in 2023, characterized by a net gain of 361.05 km² primarily due to the encroachment of mudflats. Increases in rainfall have expanded water bodies in dish-shaped lakes, encroaching on the transitional mudflat areas, thus exacerbating wetland degradation. Additionally, intensified human activities, particularly the construction of the Three Gorges Dam, have profoundly altered the river-lake topography gradient and enhanced Poyang Lake’s discharge capacity into the Changjiang River. This alteration appears to be a primary driver of the observed vegetation expansion. Concurrently, reservoir construction within the Poyang Lake basin has trapped water and sediment, and sand extraction within the lake basin has water and sediment entrapment, exacerbated by sand extraction activities that have directly diminished mudflat areas. The present work highlights the ongoing degradation trends of lake wetlands and elucidates the driving forces behind the evolution of Poyang Lake, providing valuable insights for management and conservation strategies aimed at promoting the restoration and sustainable development of lake wetlands.
基于机器学习的中国最大淡水湖湿地动态制图
湖泊湿地是淡水生态系统的重要组成部分,在水资源调节和生物多样性保护方面发挥着重要作用。然而,由于人为活动和气候变化,这些湖泊湿地正在经历普遍的、往往是不可挽回的损失。本文利用1987 - 2023年的遥感影像,基于机器学习技术,对中国最大的淡水湖鄱阳湖湿地的动态变化进行了分析。结果表明,鄱阳湖湿地面积在研究期间减少了242.71 km2。湿地内的泥滩区明显减少了64% %,相当于损失了617.60 平方公里,主要集中在湖的北部地区。植被覆盖度增加了36% %,从1987年的1035.32 km²增加到2023年的1411.99 km²,其中净增加361.05 km²,主要是由于泥滩的侵蚀。降雨的增加扩大了碟形湖泊的水体,侵占了过渡性泥滩区,加剧了湿地的退化。人类活动的加剧,特别是三峡大坝的建设,深刻地改变了鄱阳湖的地形梯度,增强了鄱阳湖向长江的排水量。这种变化似乎是观测到的植被扩张的主要驱动因素。同时,鄱阳湖流域内的水库建设截留了水沙,湖盆内的采砂也截留了水沙,而采砂活动直接减少了泥滩面积,加剧了这一现象。本研究揭示了鄱阳湖湿地持续退化的趋势,阐明了鄱阳湖湿地演变的驱动力,为促进湖泊湿地的恢复和可持续发展的管理和保护策略提供了有价值的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Global Ecology and Conservation
Global Ecology and Conservation Agricultural and Biological Sciences-Ecology, Evolution, Behavior and Systematics
CiteScore
8.10
自引率
5.00%
发文量
346
审稿时长
83 days
期刊介绍: Global Ecology and Conservation is a peer-reviewed, open-access journal covering all sub-disciplines of ecological and conservation science: from theory to practice, from molecules to ecosystems, from regional to global. The fields covered include: organismal, population, community, and ecosystem ecology; physiological, evolutionary, and behavioral ecology; and conservation science.
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