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利用遥感和实地测量相结合评估松花江的河岸带状况。

Evaluation of riparian condition of Songhua River by integration of remote sensing and field measurements.

机构信息

Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, 4888 Shengbei Street, Changchun, Jilin, 130102, P. R. China.

University of Chinese Academy of Sciences, Beijing, 100049, P. R. China.

出版信息

Sci Rep. 2017 May 31;7(1):2565. doi: 10.1038/s41598-017-02772-3.

Abstract

Riparian zone is crucial to the health of streams and their surrounding environment. Evaluation of riparian condition is essential to achieve and maintain good stream health, as well as to sustain ecological functions that riparian areas provide. This manuscript is aimed to evaluate riparian conditions of Songhua River, the fifth longest river in China, using physical structural integrality (PSI) values derived from remote sensing and validated by field measurements. The variation and clusters of PSI values were discriminated by the spatial statistics to quantify variation of riparian condition in each measurement section. Evaluation results derived from 13 measurement sections indicated that over 60% of the riparian zones have been disturbed by human activities. Analysis of land use patterns of riparian zone in the cold and hot spots found that land-use patterns had an important effect on riparian condition. The build-up and farmland areas had been the main human disturbances to the riparian condition, which were increased from 1976 to 2013. The low-low clusters (low PSI values with low neighbors) of PSI values can be implemented to identify the vulnerability of the riparian zone.

摘要

河流的滨岸带对于溪流及其周边环境的健康至关重要。评估滨岸带状况对于实现和维持良好的溪流健康以及维持滨岸带提供的生态功能至关重要。本文旨在利用遥感衍生的物理结构完整性 (PSI) 值并通过实地测量进行验证,来评估中国第五大河流松花江的滨岸带状况。通过空间统计学来区分 PSI 值的变化和聚类,以量化每个测量段滨岸带状况的变化。来自 13 个测量段的评估结果表明,超过 60%的滨岸带受到了人类活动的干扰。在冷热点分析中对滨岸带土地利用模式的分析表明,土地利用模式对滨岸带状况有重要影响。建筑物和农田是对滨岸带状况的主要人为干扰,这些干扰从 1976 年到 2013 年一直在增加。PSI 值的低-低聚类(PSI 值低且邻居 PSI 值也低)可用于识别滨岸带的脆弱性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50ef/5451399/dd08b3bb47c3/41598_2017_2772_Fig1_HTML.jpg

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