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Evaluation of riparian condition of Songhua River by integration of remote sensing and field measurements
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 conditi...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5451399/ https://www.ncbi.nlm.nih.gov/pubmed/28566728 http://dx.doi.org/10.1038/s41598-017-02772-3 |
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author | Fu, Bolin Li, Ying Wang, Yeqiao Campbell, Anthony Zhang, Bai Yin, Shubai Zhu, Honglei Xing, Zefeng Jin, Xiaomin |
author_facet | Fu, Bolin Li, Ying Wang, Yeqiao Campbell, Anthony Zhang, Bai Yin, Shubai Zhu, Honglei Xing, Zefeng Jin, Xiaomin |
author_sort | Fu, Bolin |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5451399 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-54513992017-06-01 Evaluation of riparian condition of Songhua River by integration of remote sensing and field measurements Fu, Bolin Li, Ying Wang, Yeqiao Campbell, Anthony Zhang, Bai Yin, Shubai Zhu, Honglei Xing, Zefeng Jin, Xiaomin Sci Rep Article 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. Nature Publishing Group UK 2017-05-31 /pmc/articles/PMC5451399/ /pubmed/28566728 http://dx.doi.org/10.1038/s41598-017-02772-3 Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Fu, Bolin Li, Ying Wang, Yeqiao Campbell, Anthony Zhang, Bai Yin, Shubai Zhu, Honglei Xing, Zefeng Jin, Xiaomin Evaluation of riparian condition of Songhua River by integration of remote sensing and field measurements |
title | Evaluation of riparian condition of Songhua River by integration of remote sensing and field measurements |
title_full | Evaluation of riparian condition of Songhua River by integration of remote sensing and field measurements |
title_fullStr | Evaluation of riparian condition of Songhua River by integration of remote sensing and field measurements |
title_full_unstemmed | Evaluation of riparian condition of Songhua River by integration of remote sensing and field measurements |
title_short | Evaluation of riparian condition of Songhua River by integration of remote sensing and field measurements |
title_sort | evaluation of riparian condition of songhua river by integration of remote sensing and field measurements |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5451399/ https://www.ncbi.nlm.nih.gov/pubmed/28566728 http://dx.doi.org/10.1038/s41598-017-02772-3 |
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