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<p>As a key ecological protection area, the central region of Shandong Province in China provides valuable resources for biodiversity and ecological research. Nevertheless, owing to the accelerated economic development and heightened human activity, the region’s ecosystems are encountering substantial ecological pressures. Despite this, research on watershed ecological health assessment in this area remains insufficient. To quantitatively assess and analyze the health status of this region, this study took the Yingwen River watershed as the research object, constructed a Watershed Remote Sensing Ecological Health Index (WRSEHI), and conducted a comprehensive evaluation and spatiotemporal dynamic analysis of the ecological health of the watershed ecosystem using PCA. The study yielded the following conclusions: (1) A watershed remote sensing ecological health index system was constructed, including nine indicators: WCI, NDVI, VCF, NDBSI, Wetness index, BRI, WDI, LSI, and ISP. (2) In January, February, May, June, September, and October 2023, the ecological health status of the Yingwen River watershed showed a similar spatial distribution trend, that is the quality of the water body exhibited a gradual decline from upstream to downstream. (3) Concurrently, the ecological status of the watershed was predominantly classified as “Excellent” or “Good” over this six-month period. Notably, in September, 19 small watersheds were assigned an “Excellent” or “Good” rating, encompassing a total area exceeding 658.39 km² and exhibiting an “Excellent” rate of 67%. (4) Over the period under consideration, namely from September 2019 to September 2023, the ecological health status of the Yingwen River demonstrated a tendency that may be described as follows: an initial decline, followed by a subsequent recovery and stabilisation. The overall fluctuations within this period were found to be within the first level, and the overall trend was one of steady improvement.</p>

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Dynamic Analysis of Ecological Health Status of the Small Watersheds in Central Shandong, China Based on Remote Sensing Ecological Index and PCA

  • 期刊论文

  • 发表日期：

    2026年4月7日

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  • Xiuqin Sun,
  • Qianxun Chen,
  • Guangzhou Yu,
  • Weijie Zhong,
  • Feiyong Chen,
  • Keqin Liu,
  • Fengke Dou,
  • Geng Xu,
  • Lin Wang,
  • Jin Wang

摘要

As a key ecological protection area, the central region of Shandong Province in China provides valuable resources for biodiversity and ecological research. Nevertheless, owing to the accelerated economic development and heightened human activity, the region’s ecosystems are encountering substantial ecological pressures. Despite this, research on watershed ecological health assessment in this area remains insufficient. To quantitatively assess and analyze the health status of this region, this study took the Yingwen River watershed as the research object, constructed a Watershed Remote Sensing Ecological Health Index (WRSEHI), and conducted a comprehensive evaluation and spatiotemporal dynamic analysis of the ecological health of the watershed ecosystem using PCA. The study yielded the following conclusions: (1) A watershed remote sensing ecological health index system was constructed, including nine indicators: WCI, NDVI, VCF, NDBSI, Wetness index, BRI, WDI, LSI, and ISP. (2) In January, February, May, June, September, and October 2023, the ecological health status of the Yingwen River watershed showed a similar spatial distribution trend, that is the quality of the water body exhibited a gradual decline from upstream to downstream. (3) Concurrently, the ecological status of the watershed was predominantly classified as “Excellent” or “Good” over this six-month period. Notably, in September, 19 small watersheds were assigned an “Excellent” or “Good” rating, encompassing a total area exceeding 658.39 km² and exhibiting an “Excellent” rate of 67%. (4) Over the period under consideration, namely from September 2019 to September 2023, the ecological health status of the Yingwen River demonstrated a tendency that may be described as follows: an initial decline, followed by a subsequent recovery and stabilisation. The overall fluctuations within this period were found to be within the first level, and the overall trend was one of steady improvement.