Identifying the principal driving factors of water ecosystem dependence and the corresponding indicator species in a pilot City, China

Zhao, Chang; Shao, Nan; Yang, Shengtian; Xiang, Hua; Lou, Hezhen; Sun, Ying; Zhao, Yang; Zhang, Y.; Yu, Xiao; Zhang, C.B.; Yu, Qiang

doi:10.1016/j.jhydrol.2017.11.031

Cited by 13 publications

(15 citation statements)

References 55 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…CCA analysis of zoobenthos in Jinan City in the spring and hydrogeographic factors through Monte Carlo screening of differences was performed with p < .05 as the threshold of significance. The results showed that no hydrogeographic factors had a significant difference in Jinan City zoobenthos, and the hydrogeographic factor with a relatively significant difference in Jinan City zoobenthos was FV ( p = .148; Zhao et al, ). Among these, the response of Vel in the Jinan Guxiaozhuang Floating Bridge site was significant, and P. sinensis was responsive to Vel.…”

Section: Resultsmentioning

confidence: 96%

Hydrology and water quality factors driving spatiotemporal analyses of zoobenthos in a pilot city in China

et al. 2020

View full text Add to dashboard Cite

In water ecosystems, zoobenthos are one of the most important communities. Maintenance of healthy zoobenthos community is essential for water ecosystems remediation. Understanding the hydrology and water quality factors that drive the variation of zoobenthos is the priority for water ecosystems remediation. The present study used canonical correlation analysis to select the main habitat factors affecting zoobenthic communities based on field sampling of the river zoobenthos in the first pilot city for the construction of civilized water ecosystems in China—Jinan City. In addition, analysis was performed based on geoscience methods of Global Moran's I and Anselin local Moran's I spatial autocorrelation of main habitats factors. The results show that the key water quality physical factors affecting Jinan City zoobenthic communities were pH and conductivity; the key water quality chemical factors were K+, Na+, and permanganate index; and the key hydrological factor was water depth. The sodium ions and conductivity exhibited significant spatial autocorrelation in all seasons. And the regions exhibiting spatial autocorrelation were generally stable. Moreover, the characteristics of benthic animals are closely related to human activities of domestic sewage discharge in the central and agricultural activities in northern parts of the study area. All methods in this paper can be extended to the researches on other communities, for example, algae, zooplankton, and fish in water ecosystems. The methods and results in the paper can provide significant references for managers to protect and restore degraded water ecosystems in global water.

show abstract

Section: Resultsmentioning

confidence: 96%

Hydrology and water quality factors driving spatiotemporal analyses of zoobenthos in a pilot city in China

et al. 2020

View full text Add to dashboard Cite

show abstract

“…The indicator species can be selected according to the CCA ordination map where the more the absolute value of the cosine of the angle between a species and an environmental factor is closer to 1, the closer the relationship between the species and the environmental factor is (Zhao et al, 2018). When the angle is less than 90 degrees, the species number increases with the increasing environmental factors.…”

Section: Resultsmentioning

confidence: 99%

“…The world's ecosystems are important capital assets, and they can yield numerous vital services that are essential to human existence (Su et al, 2019; Wang et al, 2019; Cheng et al, 2019; Zhao et al, 2018). Unfortunately, escalating impacts of human activities on ecosystems imperil their delivery.…”

Section: Introductionmentioning

confidence: 99%

Principal hydrology and water quality factors driving the development of plankton communities in a pilot city of China

et al. 2020

View full text Add to dashboard Cite

Healthy plankton communities form the basis of healthy aquatic ecosystems. By elucidating the mechanisms of mutual feedback between plankton and habitat processes and identifying key driving factors can enhance the success rate of ecosystem restoration. However, previous studies suffered from a lack of consideration for temporal and spatial variation in aquatic biome. In this study, three sets of samples were collected in May, September and October 2015 from 59 sampling sites in Jinan, a pilot city for water ecological civilization project, China. Canonical correspondence analysis was performed on the vast amount of data obtained from the samples to analyse the driving effects of various hydrological and water quality factors on plankton. The analysis results indicated that the development of plankton communities in Jinan were primarily driven by (1) hydrological factors of water depth, river width and flow velocity; (2) water quality physical factors of water temperature and conductivity and (3) water quality chemical factors of pH, chemical oxygen demand, biochemical oxygen demand, carbonate and sulphate contents. These results will provide in-depth theoretical and technical direction for the restoration of aquatic ecosystems in the first pilot city in China and other regions worldwide. K E Y W O R D S aquatic ecosystem, canonical correspondence analysis, hydrological and water quality factors, Jinan City

show abstract

“…Due to the important role of fish and zoobenthos in river systems, they were selected as representatives of aquatic organisms to determine principal driving factors. The dominant species of aquatic organisms in Jinan were determined in Zhao et al () where 90 sampling results for 10 typical stations from 2014 to 2016 were used to determine driving factors. In their research, the dominance values for 58 fish species and 73 zoobenthos species were calculated by using the dominance model (equation 9 in Zhao et al, ).…”

Section: Resultsmentioning

confidence: 99%

“…Therefore, the sorting results for the quadrat, the object, and the environmental factors can be represented on the same map to enable selection of the principal environmental factors. A set of quadratic ordering values and sorting values (corresponding to the corresponding analysis) were calculated, and then the quadratic ordering values were combined with the environmental factors by regression analysis (Zhao et al, ). The weighted average of the sorted values was then ranked (Barrella et al, ; Mansor et al, ).…”

Section: Methodsmentioning

confidence: 99%

Heterogeneity of aquatic ecosystems in a developing city for construction of civilized freshwater ecology, China

Zhao

Yang

et al. 2018

Ecohydrology

View full text Add to dashboard Cite

Rapid degradation of global ecosystems seriously impacted the sustainable development of human society and economy. Understanding the heterogeneity of aquatic ecosystems is significantly helpful for ecological remediation. The success of restoration in Jinan City, the first pilot city for the construction of civilized freshwater ecology, will determine the fundamental improvement of the living environment of human beings in China. This paper studied the tempo‐spatial heterogeneity of aquatic ecosystems in Jinan using canonical correspondence analysis and random forest methods, based on data regarding aquatic ecology collected during field investigations from 2014 to 2015. Results showed that water depth and flow velocity in hydrological factors had the greatest impact on the distribution of fish and zoobenthos, and conductivity and total hardness in water quality factors had the greatest effect on both 2 communities; the biodiversity of fish and zoobenthos were better in the eastern than in the western region, and better in the mountain areas than in the plains; the quality of aquatic ecosystems in most regions of Jinan was in general good except for that in the 2 regions close to urban area that were severely affected by human activities. These results could provide a scientific basis for policymaking for ecological restoration and construction of civilized freshwater ecology, which will ensure successful maintenance and remediation of river ecosystems in the important city. This methodological framework could provide a reference for aquatic ecological rehabilitation both in China and worldwide.

show abstract

Identifying the principal driving factors of water ecosystem dependence and the corresponding indicator species in a pilot City, China

Cited by 13 publications

References 55 publications

Hydrology and water quality factors driving spatiotemporal analyses of zoobenthos in a pilot city in China

Hydrology and water quality factors driving spatiotemporal analyses of zoobenthos in a pilot city in China

Principal hydrology and water quality factors driving the development of plankton communities in a pilot city of China

Heterogeneity of aquatic ecosystems in a developing city for construction of civilized freshwater ecology, China

Contact Info

Product

Resources

About