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郭玉静,王妍,郑毅,刘云根,张超,侯磊.普者黑岩溶湿地景观格局空间特征对水质的影响.生态学报,2018,(5).http://dx.doi.org/10.5846/stxb201703130419  
普者黑岩溶湿地景观格局空间特征对水质的影响
The effect of landscape patterns in Puzhehei karst wetland on water quality
投稿时间:2017-03-13  修订日期:2017-10-24
DOI: 10.5846/stxb201703130419
关键词岩溶湿地  景观指数  相关分析  冗余分析
Key WordsKarst wetland  landscape index  correlation analysis  Redundancy analysis
基金项目国家自然科学基金(31760245,31560237,31460195)
作者单位E-mail
郭玉静 西南林业大学国家高原湿地研究中心西南林业大学环境科学与工程学院 15100317358@163.com 
王妍 西南林业大学环境科学与工程学院西南林业大学农村污水处理研究所 wycaf@126.com 
郑毅 西南林业大学环境科学与工程学院  
刘云根 西南林业大学环境科学与工程学院西南林业大学农村污水处理研究所  
张超 西南林业大学林学院  
侯磊 西南林业大学环境科学与工程学院西南林业大学农村污水处理研究所  
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摘要:
人类活动影响流域景观空间格局,会对湿地水质产生重要影响,因此探究影响岩溶湿地水质变化的关键景观因子,对深入了解景观格局对岩溶湿地水质的影响过程与机制具有重要意义。选择普者黑流域为研究对象,以2005、2007、2009、2011年共4年的Landsat遥感影像及水质监测数据为基础,通过划定缓冲区尺度,运用秩相关分析和冗余分析研究了景观格局指数对普者黑岩溶湿地水质的影响。研究结果表明,不同缓冲区内景观结构类型比例差异较大;景观格局指数总体上在平水期与总氮呈显著正相关性,丰水期与高锰酸盐指数呈显著正相关性,枯水期与氨氮呈显著相关性;通过冗余分析发现,随着监测点缓冲距离的增加,个别景观指数可较好的揭示景观空间格局对岩溶湿地水质的影响,其中,蔓延度指数(CONTAG)、斑块结合度指数(COHSION)、均匀度指数(SHEI)对水质参数的影响较大,边界密度(ED)、聚集度(AI)对水质参数的影响逐渐减弱,其他景观指数对水质影响差异并不明显,最大斑块指数(LPI)在缓冲距离≤300 m的区域内与水质的关系较密切,面积加权平均斑块分维数(AWMPFD)与水质参数有显著负相关性,多样性指数(SHDI)对水质的影响具有不确定性;另外,大部分水质参数与土地利用面积比例有较好的相关性,且湿地和林地是较好的水质预测因子。
Abstract:
Human activities impact on watershed landscape spatial patterns, resulting in an important impact on wetland water pollution, therefore studying the key landscape factors that affect karst wetland water quality changes is of great importance in understanding the process and the underlying mechanism about how landscape patterns impact on karst wetland water quality. Taking Puzhehei watershed as the study area,based on Landsat remote sensing images and the collected water quality monitoring data from 2005, 2007, 2009, and 2011, we studied the influence of landscape pattern indices of Puzhehei karst wetland on water quality through delineating the buffer region scale and using the correlation and redundancy analysis. The results showed that the landscape composition and structures were quite different in different buffer regions. General speaking, the landscape pattern indices were significantly correlated with total nitrogen during average flow period, significantly correlated with permanganate index during high flow period, and significantly correlated with ammonia nitrogen during low flow period. The redundancy analysis showed that individual landscape indices can better reveal the influence of landscape patterns on water quality in Puzhehei karst wetland, accompanied by the increased buffer region distances. Among them, CONTAG, COHSION, and SHEI values have great influences on the water quality, and AWMPFD showed a significantly negative correlation with water quality parameters. The effects of other landscape indices on water quality were not obvious. Among them, the impacts of ED and AI values on water quality were gradually weakened. LPI value was closely correlated with water quality when buffer region distance less than 300 m. Beyond this, the effect of SHDI on water quality was still uncertain. Additionally, Most water quality parameters have a good correlation with the land use type area, wetlands and forests were predictive factors for good water quality.
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