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基于遥感的湛江红树林保护区生态系统时空变化特征
引用本文:马昇鑫,周玲玲,王晋,余静.基于遥感的湛江红树林保护区生态系统时空变化特征[J].资源科学,2022,44(12):2580-2593.
作者姓名:马昇鑫  周玲玲  王晋  余静
作者单位:1.中国海洋大学海洋与大气学院,青岛 266100
2.山东建筑大学资源与环境创新研究院,济南 250101
基金项目:国家自然科学基金青年项目(42107496);海南省院士创新平台科研专项(YSPTZX202149);山东建筑大学博士科研基金项目(X20192Z)
摘    要:红树林是中国重要的蓝色碳汇之一,由于人为破坏导致其面积骤减,对中国蓝碳储量造成重大损失。本文使用监督分类的方法,解译了湛江红树林国家级自然保护区在1990年、2000年、2010年以及2020年4个时间节点的Landsat卫星遥感影像数据,分析了保护区红树林面积与生境破碎度等参数的动态变化及分布特征。研究发现:①湛江红树林自然保护区面积整体呈先减少后增加的变化趋势,建立保护区对红树林面积恢复有重要意义;②本文划分的4个核心区面积变化与保护区整体有所不同,其中,高桥核心区、营仔核心区和雷州市东岸核心区红树林修复取得了较好的效果,面积增长显著且破碎化程度有明显降低;而通明湾核心区由于受到水产养殖的影响,修复效果欠佳。同时,本文结合当地历史资料和文献资料分析了影响湛江红树林面积变化的主要因素,为保护区未来发展提出了相应的对策建议。

关 键 词:遥感  监督分类  动态变化  分布特征  生境破碎度  湛江红树林保护区  
收稿时间:2022-07-31
修稿时间:2022-11-03

Spatiotemporal characteristics of Zhanjiang Mangrove Nature Reserve ecosystem based on remote sensing
MA Shengxin,ZHOU Lingling,WANG Jin,YU Jing.Spatiotemporal characteristics of Zhanjiang Mangrove Nature Reserve ecosystem based on remote sensing[J].Resources Science,2022,44(12):2580-2593.
Authors:MA Shengxin  ZHOU Lingling  WANG Jin  YU Jing
Institution:1. College of Oceanic and Atmospheric Sciences, Ocean University of China, Qingdao 266100, China
2. Institute of Resources and Environment Innovation, Shandong Jianzhu University, Jinan 250101, China
Abstract:Mangrove forests are one of the most important blue carbon sinks in China. The rapid decline of mangrove forests due to human destruction has caused a significant loss of China’s blue carbon reserves. In this study, we used the supervised classification method to interpret the Landsat satellite remote sensing image data of Zhanjiang Mangrove Nature Reserve in 1990, 2000, 2010, and 2020, and analyzed the dynamic changes and distribution characteristics of mangrove area and habitat fragmentation. The results show that: (1) The total area of the Zhanjiang Mangrove Nature Reserve decreased first and then increased, and the establishment of the reserve is of great significance for the restoration of mangrove area; (2) The four core areas experienced different changes in area than the overall areal change of the reserve. Among these areas, mangrove restoration of Gaoqiao core area, Yingzi core area, and Eastern Coast of Leizhou City core area achieved good results, with significant areal growth and significantly reduced degree of fragmentation, while the Tongming Bay core area was affected by aquaculture and the restoration effect was less satisfactory. The main factors affecting the change of mangrove area in Zhanjiang were analyzed based on the local historical and documentary data, and the corresponding countermeasures and recommendations were put forward for the future development of the reserve.
Keywords:remote sensing  supervised classification  dynamic change  distribution characteristics  habitat fragmentation  Zhanjiang Mangrove Nature Reserve  
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