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应用生态学报 ›› 2020, Vol. 31 ›› Issue (6): 2057-2066.doi: 10.13287/j.1001-9332.202006.036

• 研究报告 • 上一篇    下一篇

农业主产区湖泊水质对湖滨带多尺度景观格局的空间响应

李昆1, 谢玉静2, 孙伟2, 王祥荣2, 李兆华1, 王玲1*   

  1. 1湖北大学资源环境学院, 武汉 430062;
    2复旦大学环境科学与工程系, 上海 200433
  • 收稿日期:2019-11-14 出版日期:2020-06-15 发布日期:2020-06-15
  • 通讯作者: * E-mail: wlk_211@126.com
  • 作者简介:李 昆, 男, 1987年生, 博士。主要从事景观生态与流域生态学研究。E-mail: likun211@126.com
  • 基金资助:
    国家重点研发计划项目(2016YFC0502700)资助

Spatial response of lake water quality to multi-scale landscape pattern of lakeside zone in agricultural watershed

LI Kun1, XIE Yu-jing2, SUN Wei2, WANG Xiang-rong2, LI Zhao-hua1, WANG Ling1*   

  1. 1Faculty of Resource and Environmental Science, Hubei University, Wuhan 430062, China;
    2Department of Environmental Science and Engineering, Fudan University, Shanghai 200433, China
  • Received:2019-11-14 Online:2020-06-15 Published:2020-06-15
  • Contact: * E-mail: wlk_211@126.com
  • Supported by:
    This work was supported by the National Key R&D Program of China (2016YFC0502700).

摘要: 为分析农业主产区湖泊水环境质量对不同空间尺度上景观格局的响应关系,以洪湖为研究对象,以5种湖泊功能区为基础,利用RS和GIS软件生成7种空间尺度的湖滨带缓冲区,采用Fragstats 软件分析景观格局指数,结合冗余分析等数理统计方法与模型,研究景观格局对洪湖水质变化的空间尺度效应。结果表明: 1)景观格局在不同宽度缓冲区内对湖泊水质的影响具有空间尺度性,在200 m宽度其解释能力最大,达到86.1%,是影响水质的最有效空间尺度。2)景观配置变量(如最大斑块指数、斑块密度等)对水质的影响程度大于景观组成变量(如面积比例和均匀度指数等)。3)景观类型对水质的影响机制具有较大的差异性,农业用地受流域的地形地貌和耕作方式等因素的影响,在100~500 m小尺度的湖滨带缓冲区内对水质退化起主导作用;在远离水体的相对较大尺度(1000~5000 m),林地分布越密集、面积越大,对污染物进入水体的净化作用越明显;草地对水质的影响与林地一致;密集分布的城市用地对水质的影响与林地相反。研究结果可以从宏观尺度上为农业主产区湖泊流域水质管理和景观合理配置提供科学参考。

Abstract: Understanding the response of water quality in lake to landscape pattern at different spatial scales in agricultural watershed is of great significance to water quality management. In this study, we classified seven riparian buffer zones of lakeside zone by ArcGIS and RS in the Honghu Lake, according to the five functional areas. The landscape metrics were analyzed at multiple buffer widths using Fragstats software. Mathematical statistical methods and models such as redundancy analysis were used to explore spatial relationship between water quality and landscape patterns. Results showed that: 1) The effect of landscape patterns on water quality was scale-dependent at multiple buffer widths. The highest total explanatory power between landscape characteristics and water quality was found at the 200 m buffer width, accounting for 86.1% of the total, which was the most effective spatial scale affecting water quality. 2) The landscape configuration (e.g., largest patch index, patch density) was more associated with water quality than landscape composition (e.g., the percent of landscape and evenness index). 3) The impacts of different landscape types on water quality varied. Agriculture land, affected by topography and cultivation mode, was the main influencing factor on the degradation of water quality at smaller buffer widths from 100 m to 500 m. Forests with higher density and area had more purification effect on water pollutants at the wider buffer widths from 1000 m to 5000 m. The impacts of grassland on water quality was similar with that of forests, but densely distributed urban land contributed to water quality degradation at the same buffer widths. This study could provide scientific reference for water quality management and landscape planning of lake basin in agricultural areas.