Spatial Scale Effect of Landscape Pattern on Water Quality Change in Yangcheng Lake Watershed

Zhu Ying; Wang Yi; He Fengchun; Wu Yanfei

doi:10.13961/j.cnki.stbctb.2021.02.014

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Spatial Scale Effect of Landscape Pattern on Water Quality Change in Yangcheng Lake Watershed

- Spatial Scale Effect of Landscape Pattern on Water Quality Change in Yangcheng Lake Watershed
- Bulletin of Soiland Water Conservation Vol. 41, Issue 2, Pages: 105-113(2021)
- 作者机构：
  
  1. 苏州科技大学建筑与城市规划学院,江苏,苏州,215011
  2. 苏州园林设计院有限公司,江苏,苏州,215000
  3. 苏州湿地保护管理站,江苏,苏州,215006
- 作者简介：
- 基金信息：
- DOI：10.13961/j.cnki.stbctb.2021.02.014
  CLC： Q149;X824
- Published：2021
- 稿件说明：
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Zhu Ying, Wang Yi, He Fengchun, et al. Spatial Scale Effect of Landscape Pattern on Water Quality Change in Yangcheng Lake Watershed[J]. Bulletin of Soiland Water Conservation, 2021, 41(2): 105-113.
DOI：

Zhu Ying, Wang Yi, He Fengchun, et al. Spatial Scale Effect of Landscape Pattern on Water Quality Change in Yangcheng Lake Watershed[J]. Bulletin of Soiland Water Conservation, 2021, 41(2): 105-113. DOI： 10.13961/j.cnki.stbctb.2021.02.014.

摘要

[目的

]

研究阳澄湖小流域不同空间尺度上景观组成与结构变量对水质的影响，为该区域湿地水环境质量提升和景观格局优化提供科学依据。[方法

]

以阳澄湖12个水质采样点为中心，利用GIS软件生成6种空间尺度的圆形缓冲区域，采用景观格局指数、冗余分析、Pearson相关分析等方法，识别景观格局对湿地水质影响最有效的缓冲区空间尺度，探讨其与水质的相互关系。[结果

]

①总体上，乔木林地和湖泊的面积占比在空间尺度上逐渐减小，城镇住宅用地、水田和养殖塘的面积占比逐渐增加。②景观格局对湿地水质影响的空间尺度效应体现在不同圆形缓冲区内，在半径为800 m的圆形缓冲区内总解释变异值最大为68.2%。③景观组成变量仅有在半径为1 000 m的圆形缓冲区内PLAND

FOR

与水质参数具有相关性。④养殖塘在半径为200 m的圆形缓冲区内对水质影响较大；水田、乔木林地和湖泊在空间尺度较大的圆形缓冲区（半径大于500 m）是影响水质的主要景观类型。[结论

]

景观格局与水质最相关的空间尺度为800 m的圆形缓冲区，不同尺度缓冲区内景观结构变量对水质的解释能力均比景观组成变量明显，湿季水质参数与景观格局指数的相关性大于干季。

Abstract

[Objective] The effects of landscape composition and structure on water quality at different spatial scales in Yangcheng Lake watershed were explored

in order to provide references for the water quality improvement and landscape pattern optimization.[Methods] Taking 12 water quality sampling points in Yangcheng Lake as the center

the circular buffer zones of 6 different spatial scales were generated by using GIS software. Landscape pattern index

redundancy analysis and Pearson correlation analysis was used to identify the most effective buffer zone of landscape pattern on wetland water quality

and explore its relationship with water quality.[Results] ① In general

the proportions of arbor forests and lakes gradually decreased at the spatial scale

while the proportions of urban residential land

paddy fields

and aquaculture ponds gradually increased. ② The spatial scale of the impact of landscape pattern on wetland water quality was reflected in different circular buffers

and the maximum explained variation was 68.2% in the circular buffer zone with a radius of 800 m. ③ Landscape composition variables only had correlation with water quality parameters in the circular buffer zone with a radius of 1 000 m. ④ Aquaculture ponds had a greater impact on water quality in a circular buffer zone with a radius of 200 m. Paddy fields

arbor forests and lakes had a larger circular buffer zone (radius greater than 500 m)

which was the main landscape type affecting water quality.[Conclusion] The most relevant spatial scale between landscape pattern and water quality is 800 m circular buffer zone. The interpretation ability of landscape structure variables on water quality in buffer zones of different scales is more obvious than that of landscape composition variables. The correlation between water quality parameters and landscape pattern index in wet season is greater than that in dry season.

关键词

Keywords

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