Effects of land use patterns on biological indices of macroinvertebrates via multiple pathways in the Luan River watershed
MA Kai1,2,3, ZHANG Hai-ping3, QU Xiao-dong3, HUANG Xiao-rong1,2, ZHANG Ming3, LIU Xiao-bo3
1. State Key Laboratory of Hydraulics and Mountain River Engineering, Chengdu 610065, China;
2. College of Water Resource & Hydropower, Sichuan University, Chengdu 610065, China;
3. China Institute of Water Resources and Hydropower Research, Beijing 100038, China
Based on ecological surveys of 65sites within the Luan River watershed,we analyzed multiple pathways about how land use patterns affect biological indices of macroinvertebrates by using statistical analysis and Structural Equation Model (SEM).The results showed that conductivity,concentration of total nitrogen and percentage of fine sediments were the mostly dominant variables of water quality and habitat environment,those which affected the biological indices of macroinvertebrates in the reach scale.Based on key factors selection,SEM models explained 47%,33% and 47% of variations of indices of biological integrity,Shannon-Winner diversity,taxa richness of macroinvertebrates,respectively.The path coefficient (Pc) indicated that percentages of cropland and grassland in the watershed scale directly and significantly affected the ammonia nitrogen,total phosphorus and conductivity in the river reach scale.Then those water quality variables directly and significantly affected the community structure and ecological function of macroinvertebrates.This study confirmed that the SEM models could be used effectively to explore pathways through complex and multiple land uses scales,and provide important reference and recommendations for river protection and restoration.
马凯, 张海萍, 渠晓东, 黄晓荣, 张敏, 刘晓波. 滦河流域土地利用对大型底栖动物生物指数的路径分析[J]. 中国环境科学, 2017, 37(7): 2674-2683.
MA Kai, ZHANG Hai-ping, QU Xiao-dong, HUANG Xiao-rong, ZHANG Ming, LIU Xiao-bo. Effects of land use patterns on biological indices of macroinvertebrates via multiple pathways in the Luan River watershed. CHINA ENVIRONMENTAL SCIENCECE, 2017, 37(7): 2674-2683.
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