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首页> 外文期刊>Water Resources Management >Using High-resolution Remote Sensing Images to Detect Freshwater Ecosystem Changes - a New Perspective of Different Ecosystem Types and Shapes
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Using High-resolution Remote Sensing Images to Detect Freshwater Ecosystem Changes - a New Perspective of Different Ecosystem Types and Shapes

机译:使用高分辨率遥感图像检测淡水生态系统变化 - 不同生态系统类型和形状的新视角

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摘要

Area statistics of large lakes is the most concerned primary indicator in existing studies of freshwater ecosystem (FE) dynamics in watershed-dominated regions (WDRs). However, large lakes alone cannot represent the complete status of WDRs, and the dynamic changes of some smaller water types, such as rivers, pits, and streams, need to be given more attention. In order to capture more refined spatiotemporal features of multiple FE types and provide important basis of FE management, multi-temporal high spatial resolution remote sensing images ( 5 m) were used to capture more detailed FE information and change tendencies in Jianghuai Ecological and Economic Zone (JHEEZ). Despite that the general change of total FE area was less than 5% from 2015 to 2018, even though the change in lake areas was only 0.12%, some different and interesting findings can be observed from different FE types and their shapes. First, different lakes exhibited different change features. Hongze Lake, which is the largest lake in JHEEZ, remained stable in the last three years, while some relatively small lakes, such as Gaoyou Lake and Baima Lake, demonstrated much more dynamic and complicated transformations, especially represented in the locally-variations of lake shorelines. In particular, both notable transfer in (polder areas changed into lakes) and transfer out (areas occupied by construction land and forestland) features could be observed in Baima Lake, which was driven by integrated roles of the 'retreating to lakes' project and tourism development. Second, small ponds represent the most significant increasing tendency. More than 500 km(2)of new ponds were observed, in which more than 80% were transferred from arable land. These new pond regions were mainly located in the lake storage area and in the suburbs of major cities. All of these findings indicate that, the sub-types of FE that have small areas and scattered distribution features are more likely to undergo more dynamic changes than those of large lakes. Therefore, in addition to the dynamics changes of large lakes and their boundaries, this study also contributes to a deeper understanding of multiple small FE types. Furthermore, it is beneficial to more accurate freshwater resources management.
机译:大湖区的地区统计数据是流域落地地区淡水生态系统(FE)动态研究中最关注的主要指标(WDRS)。然而,单独的大湖泊不能代表WDR的完整状态,并且需要更加关注河流,坑和流等一些较小的水类型的动态变化。为了捕获多种Fe类型的更精细的时空特征并提供FE管理的重要基础,使用多时间的高空间分辨率遥感图像(<5米)来捕获江淮生态和经济的更详细的FE信息和变化趋势区域(jheez)。尽管总Fe地区的一般变化从2015年到2018年少于5%,但即使湖泊地区的变化仅为0.12%,也可以从不同的Fe类型及其形状中观察到一些不同和有趣的结果。首先,不同的湖泊表现出不同的变化特征。洪泽湖是杰伊兹最大的湖泊,在过去三年中保持稳定,而一些相对小的湖泊,如高居湖和白马湖,则展示了更具活力和复杂的变革,特别是在湖泊局部变化中代表海岸线。特别是,在Baima Lake中可以观察到(圩区区域变为湖泊)的显着转移(变为湖泊)的转移(建筑用地和林地占用的区域),这是通过“退回到湖泊”项目和旅游的综合作用而导致的发展。其次,小池塘代表了最显着的趋势。观察到超过500公里(2)米,其中超过80%从耕地转移。这些新的池塘地区主要位于湖泊储藏区和主要城市的郊区。所有这些调查结果表明,具有小区域和散射分布特征的FE的子类型更可能经历比大湖泊更具动态变化。因此,除了大湖泊及其界限的动态变化之外,该研究还有助于更深入地了解多种小型FE类型。此外,它有利于更准确的淡水资源管理。

著录项

  • 来源
    《Water Resources Management》 |2020年第11期|3565-3584|共20页
  • 作者单位

    Chinese Acad Sci Key Lab Watershed Geog Sci Inst Geog & Limnol 73 East Beijing Rd Nanjing 210008 Peoples R China;

    Nanjing Forestry Univ Collaborat Innovat Ctr Sustainable Forestry South Coll Forestry Nanjing 210037 Peoples R China;

    Nantong Univ Coll Geog Sci Nantong 226019 Peoples R China;

    Jiangsu Real Estate Registrat Ctr Nanjing 210017 Peoples R China;

    Nanjing Forestry Univ Collaborat Innovat Ctr Sustainable Forestry South Coll Forestry Nanjing 210037 Peoples R China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Freshwater types; Lakes; Ponds; Spatiotemporal features; High-resolution remote sensing;

    机译:淡水类型;湖泊;池塘;时空特征;高分辨率遥感;

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