DOI: 10.1016/j.watres.2019.01.015
Scopus记录号: 2-s2.0-85060596357
论文题名: Impact of spatial variations in water quality and hydrological factors on the food-web structure in urban aquatic environments
作者: Zhao C.S. ; Yang Y. ; Yang S.T. ; Xiang H. ; Wang F. ; Chen X. ; Zhang H.M. ; Yu Q.
刊名: Water Research
ISSN: 431354
出版年: 2019
起始页码: 121
结束页码: 133
语种: 英语
英文关键词: Driving factors
; Food-web structure
; Hydrology
; Spatial variation
; Water quality
Scopus关键词: Aquatic ecosystems
; Atmospheric temperature
; Biochemical oxygen demand
; Chemical contamination
; Dissolved oxygen
; Electric conductivity
; Environmental protection
; Geographical regions
; Hardness
; Hydrology
; Least squares approximations
; Potassium
; Quality control
; Restoration
; River pollution
; Seawater
; Spatial variables measurement
; Stream flow
; Transparency
; Water quality
; Canonical Correspondence Analysis
; Driving factors
; Electrical conductivity
; Food webs
; Geographical environment
; Partial least squares regression
; Spatial autocorrelations
; Spatial variations
; Water hardness
; potassium
; aquatic ecosystem
; autocorrelation
; canonical analysis
; civilization
; ecosystem structure
; food web
; least squares method
; omnivory
; primary production
; spatial distribution
; spatial variation
; water quality
; air temperature
; aquatic environment
; Article
; breathing
; China
; correspondence analysis
; electric conductivity
; environmental factor
; food web
; habitat
; hardness
; hydrology
; omnivory
; partial least squares regression
; priority journal
; salinity
; urban area
; water quality
; China
; Jinan [Shandong]
; Shandong
英文摘要: Global aquatic ecosystems are essential to human existence and have deteriorated seriously in recent years. Understanding the influence mechanism of habitat variation on the structure of the food-web allows the effective recovery of the health of degraded ecosystems. Whereas most previous studies focused on the selection of driving habitat factors, the impact of habitat variation on the food-web structure was rarely studied, resulting in the low success rate of ecosystem restoration projects globally. This paper presents a framework for exploring the effects of spatial variations in water quality and hydrological habitat factors on the food-web structure in city waters. Indices for the evaluation of the food-web structure are first determined by integrating model-parameter extraction via literature refinement. The key water quality and hydrological factors are then determined by coupling canonical correspondence analysis with partial least squares regression. Their spatial variation is investigated using spatial autocorrelation. Finally, fuzzy clustering is applied to analyze the influence of the spatial variations in water quality and hydrological factors on the food-web structure. The results obtained in Ji'nan, the pilot city of water ecological civilization in China, show that the Shannon diversity index, connectance index, omnivory index, and the ratio of total primary production to the total respiration are important indicators of food-web structural change. They show that the driving factors affecting the aquatic food-web structure in Ji'nan are hydrological factors (e.g., river width, water depth, and stream flow), physical aspects of water quality (e.g., air temperature, water temperature, electrical conductivity, and transparency), and chemical aspects (e.g., potassium, dissolved oxygen, calcium, and total hardness). They also show that the stability of the food-web is more prone to spatial variations in water quality than in hydrological factors. Higher electrical conductivity, potassium, total hardness, and air temperature lead to deteriorated food-web structures, whereas better transparency improves structure and stability. We found that water and air temperature are the most important factors in the spatial variation of the food-web structure in the study area, followed by total hardness. Transparency is the least important factor. Large disparities and varied spatial distributions exist in the driving effects of water quality and hydrological factors across regions attributable to differences in geographical environments, water salinity (fresh vs. sea water), and environmental factors (e.g., water pollution). The above methods and results serve as a theoretical and scientific basis for a high success rate of aquatic ecosystem restoration projects in the study area and other cities worldwide. © 2019 Elsevier Ltd
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/121989
Appears in Collections: 气候变化事实与影响
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作者单位: College of Water Sciences, Beijing Key Laboratory of Urban Hydrological Cycle and Sponge City Technology, Beijing Normal University, Beijing, 100875, China; Jinan Survey Bureau of Hydrology and Water Resources, Jinan, 250013, China; Dongying Bureau of Hydrology and Water Resources, Dongying, 257000, China; State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Institute of Soil and Water Conservation, Northwest A&F University, Yangling, Shaanxi 712100, China; School of Life Sciences, University of Technology Sydney, Sydney, NSW 2000, Australia; ICube, UdS, CNRS (UMR 7357), 300 Bld Sebastien Brant, CS 10413, Illkirch, 67412, France
Recommended Citation:
Zhao C.S.,Yang Y.,Yang S.T.,et al. Impact of spatial variations in water quality and hydrological factors on the food-web structure in urban aquatic environments[J]. Water Research,2019-01-01