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Wang Z, Liu Y, Li Y, Su Y. Response of Ecosystem Health to Land Use Changes and Landscape Patterns in the Karst Mountainous Regions of Southwest China. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19063273. [PMID: 35328960 PMCID: PMC8955466 DOI: 10.3390/ijerph19063273] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Revised: 03/08/2022] [Accepted: 03/09/2022] [Indexed: 11/28/2022]
Abstract
The quantitative assessment of ecosystem health is important for interpreting the ecological effects of land use changes and formulating effective measures of sustainable ecological development by policymakers. This study investigated the response of ecosystem health to land use changes and landscape patterns in the karst mountainous regions of southwest China by taking Guiyang City as a case study area and assessing the spatial and temporal changes in ecosystem health from 2008 to 2017 using the vigor–organization–resilience model; it analyzed the influence of land use changes and landscape patterns on ecosystem health using spatial overlay analysis, the Dunnett’s T3 test, and the Spearman correlation analysis. The results show that the land use structure dramatically changed, with a trend of a sharp decrement of farmland and rapid increment of forestland and construction land due to rapid urbanization and ecologization. The overall ecosystem health was at a relatively strong level, with the average value greater than 0.6. The deterioration of ecosystem health was attributed to the expansion of construction land and farmland and the degradation of forestland, while the increment of forestland was the major contributor to the improvement of ecosystem health. The ecosystem health of the forestland + farmland landscape was significantly superior to that of forestland + construction land and construction land + farmland landscapes. Moreover, each landscape configurations had a significant positive or negative correlation with the ecosystem health. This study provides a valuable reference for formulating sustainable environmental management strategies in karst mountainous regions in China.
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Affiliation(s)
- Zhijie Wang
- College of Life Sciences, Guizhou University, Guiyang 550025, China;
- Collaborative Innovation Center for Mountain Ecology & Agro-Bioengineering, Guiyang 550025, China
| | - Yan Liu
- College of Forestry, Guizhou University, Guiyang 550025, China; (Y.L.); (Y.L.)
| | - Yixin Li
- College of Forestry, Guizhou University, Guiyang 550025, China; (Y.L.); (Y.L.)
| | - Yuan Su
- College of Forestry, Guizhou University, Guiyang 550025, China; (Y.L.); (Y.L.)
- Correspondence:
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Modelling the effects of urbanization on nutrients pollution for prospective management of a tropical watershed: A case study of Skudai River watershed. Ecol Modell 2021. [DOI: 10.1016/j.ecolmodel.2021.109721] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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Wan X, Yang T, Zhang Q, Yan X, Hu C, Sun L, Zheng Y. A novel comprehensive model of set pair analysis with extenics for river health evaluation and prediction of semi-arid basin - A case study of Wei River Basin, China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 775:145845. [PMID: 33631562 DOI: 10.1016/j.scitotenv.2021.145845] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/25/2020] [Revised: 02/09/2021] [Accepted: 02/09/2021] [Indexed: 06/12/2023]
Abstract
The accelerated development of urbanization in semi-arid areas is easy to cause varying degrees of disturbance to its fragile aquatic ecosystem. To find a general method for assessing the health status in semi-arid basins in China, and to provide theoretical basis for river health management and sustainable development, this study is that health evaluation index system is established in the Wei River Basin, covering a huge semi-arid area, and analyzed the biological structure of plankton obtained by field sampling and identified in laboratory, chemical conditions including dissolved oxygen, water temperature, ammonia nitrogen, pH, chlorophyll and other water physical and chemical factors determined by field instruments and sediment heavy metals analyzed in laboratory, physical habitat scored on site and social factors including water resource utilization rate and water consumption per 10,000 yuan of GDP collected in local water resource bulletin. Based on the idea of game theory, an improved coupling model of set pair analysis with extenics is established to assess and predict health. The results show that Wei River System and Jing River System are healthy, Beiluo River System is sub-healthy, and the whole Wei River Basin is also healthy; most of the cross-sections have a tendency to change to a bad level. Compared with simple weighting, set pair analysis and variable fuzzy set methods based on the corresponding sampling data and the weight in this paper, the coupling model can explain the transition and its trend between levels, reflect the certainty and uncertainty, and get more accurate results. It is suggested that daily monitoring and management should be strengthened in most sections to improve their health. And improve the development level of ecological function and social service function, give priority to the development of downstream water resources economy.
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Affiliation(s)
- Xuhao Wan
- School of Geography and Tourism, Shaanxi Normal University, Xi'an 710119, Shaanxi, People's Republic of China
| | - Tao Yang
- School of Geography and Tourism, Shaanxi Normal University, Xi'an 710119, Shaanxi, People's Republic of China; International Joint Research Centre of Shaanxi Province for Pollutant Exposure and Eco-environmental Health, Xi'an 710062, Shaanxi, People's Republic of China.
| | - Qian Zhang
- School of Geography and Tourism, Shaanxi Normal University, Xi'an 710119, Shaanxi, People's Republic of China
| | - Xuerong Yan
- School of Geography and Tourism, Shaanxi Normal University, Xi'an 710119, Shaanxi, People's Republic of China
| | - Changtong Hu
- School of Geography and Tourism, Shaanxi Normal University, Xi'an 710119, Shaanxi, People's Republic of China
| | - Laikang Sun
- School of Geography and Tourism, Shaanxi Normal University, Xi'an 710119, Shaanxi, People's Republic of China
| | - Yiwen Zheng
- School of Geography and Tourism, Shaanxi Normal University, Xi'an 710119, Shaanxi, People's Republic of China
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Wu J, Mao R, Li M, Xia J, Song J, Cheng D, Sun H. Assessment of aquatic ecological health based on determination of biological community variability of fish and macroinvertebrates in the Weihe River Basin, China. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2020; 267:110651. [PMID: 32349958 DOI: 10.1016/j.jenvman.2020.110651] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/27/2019] [Revised: 03/28/2020] [Accepted: 04/24/2020] [Indexed: 06/11/2023]
Abstract
A healthy aquatic ecosystem plays an important role in the operation of nature and the survival of human beings. Understanding the mechanism of its interaction with the habitat process is conducive to formulating targeted ecological recovery plans. In this study, fish and macroinvertebrates were collected from 49 investigation sites in the Weihe River basin, China, during periods of the summer and the autumn of 2017. Cluster analysis and canonical correlation analysis (CCA) were used to analyze the similarity of community distribution of fish and macroinvertebrates and their response to environmental variables. The biological integrity index of fish (F-IBI) and benthic-macroinvertebrate (B-IBI) was introduced to evaluate the aquatic ecological health. The results showed that fish communities were more coherent than macroinvertebrate communities. The distinguished response to ecological factors was identified for fish and macroinvertebrates. The ecological factors of total nitrogen, conductivity and river width have significant effects on both fish and macroinvertebrate communities. In addition, the fish community was significantly influenced by chlorine, fluorine, pH and flow velocity, while the macroinvertebrate community was significantly influenced by bicarbonate and water depth. The differences in community structure and response to ecological factors between communities were amplified in their environmental quality scores. Although F-IBI and B-IBI tend to be consistent temporally, the correlation is not significant. B-IBI showed decreasing gradient of ecological health status in the downstream area, while F-IBI tended to be different across river systems, which further illustrated the differences in the response of fish and macroinvertebrates to environmental variables.
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Affiliation(s)
- Jintao Wu
- Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, College of Urban and Environmental Sciences, Northwest University, Xi'an, 710127, China; Institute of Qinling Mountains, Northwest University, Xi'an, 710127, China
| | - Ruichen Mao
- Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, College of Urban and Environmental Sciences, Northwest University, Xi'an, 710127, China; Institute of Qinling Mountains, Northwest University, Xi'an, 710127, China
| | - Mingyue Li
- Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, College of Urban and Environmental Sciences, Northwest University, Xi'an, 710127, China; Institute of Qinling Mountains, Northwest University, Xi'an, 710127, China
| | - Jun Xia
- Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, College of Urban and Environmental Sciences, Northwest University, Xi'an, 710127, China; Research Institute for Water Security (RIWS), Wuhan University, Wuhan, 430072, China; Key Laboratory of Water Cycle & Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Jingxi Song
- Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, College of Urban and Environmental Sciences, Northwest University, Xi'an, 710127, China; Institute of Qinling Mountains, Northwest University, Xi'an, 710127, China; State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Institute of Soil and Water Conservation, CAS & MWR, Yangling, 712100, China.
| | - Dandong Cheng
- Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, College of Urban and Environmental Sciences, Northwest University, Xi'an, 710127, China; Institute of Qinling Mountains, Northwest University, Xi'an, 710127, China
| | - Haotian Sun
- Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, College of Urban and Environmental Sciences, Northwest University, Xi'an, 710127, China; Institute of Qinling Mountains, Northwest University, Xi'an, 710127, China
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Meng L, Huang J, Dong J. Assessment of rural ecosystem health and type classification in Jiangsu province, China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2018; 615:1218-1228. [PMID: 29751427 DOI: 10.1016/j.scitotenv.2017.09.312] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/03/2017] [Revised: 09/27/2017] [Accepted: 09/28/2017] [Indexed: 06/08/2023]
Abstract
Quantitative analysis of rural ecosystem health (REH) is required to comprehend the spatial differentiation of rural landscape and promote rural sustainable development under the pressure of urbanization and industrialization, especially those with dramatic changes in rural ecology of China and other developing countries. In this study, taking Jiangsu province as the case study, appropriate indicators were selected in the perspective of compound ecosystem and the rural ecosystem health index (REHI) was developed including four rural ecological subsystems of resource, environmental, social and economic. The comprehensive indicator assessment models and geographic information system (GIS) spatial methods were used to analyze the REH status and spatial differentiation of 57 counties in Jiangsu province. The REH scores of 57 rural counties were in a higher range of 0.686-0.882 and fluctuating increased from north to south, indicating that the rural ecosystem in Jiangsu province was at a relatively healthy level and counties in southern Jiangsu were healthier than those in central and northern regions. The spatial concentration of REH in Jiangsu was poor and the spatial distribution of four subsystems health levels were significantly different by spatial Gini coefficient analysis. The REH of 57 counties in Jiangsu province were classified into 13 types according to the identification of the health levels and quantity of four subsystems. Moreover, we analyzed the influencing factors of each type and proposed paths to promote the development and management of rural ecosystem.
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Affiliation(s)
- Lingran Meng
- School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China; Jiangsu Key Laboratory of Resources and Environmental Information Engineering, Xuzhou 221116, China
| | - Jiu Huang
- School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China; Jiangsu Key Laboratory of Resources and Environmental Information Engineering, Xuzhou 221116, China
| | - Jihong Dong
- School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China; Jiangsu Key Laboratory of Resources and Environmental Information Engineering, Xuzhou 221116, China.
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Selemani JR, Zhang J, Muzuka ANN, Njau KN, Zhang G, Maggid A, Mzuza MK, Jin J, Pradhan S. Seasonal water chemistry variability in the Pangani River basin, Tanzania. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2017; 24:26092-26110. [PMID: 28942515 DOI: 10.1007/s11356-017-0221-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/28/2017] [Accepted: 09/13/2017] [Indexed: 06/07/2023]
Abstract
The stable isotopes of δ18O, δ2H, and 87Sr/86Sr and dissolved major ions were used to assess spatial and seasonal water chemistry variability, chemical weathering, and hydrological cycle in the Pangani River Basin (PRB), Tanzania. Water in PRB was NaHCO3 type dominated by carbonate weathering with moderate total dissolved solids. Major ions varied greatly, increasing from upstream to downstream. In some stations, content of fluoride and sodium was higher than the recommended drinking water standards. Natural and anthropogenic factors contributed to the lowering rate of chemical weathering; the rate was lower than most of tropical rivers. The rate of weathering was higher in Precambrian than volcanic rocks. 87Sr/86Sr was lower than global average whereas concentration of strontium was higher than global average with mean annual flux of 0.13 × 106 mol year-1. Evaporation and altitude effects have caused enrichment of δ18O and δ2H in dry season and downstream of the river. Higher d-excess value than global average suggests that most of the stations were supplied by recycled moisture. Rainfall and groundwater were the major sources of surface flowing water in PRB; nevertheless, glacier from Mt. Kilimanjaro has insignificant contribution to the surface water. We recommend measures to be taken to reduce the level of fluoride and sodium before domestic use.
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Affiliation(s)
- Juma R Selemani
- State Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai, 200062, People's Republic of China.
- Tanzania Meteorological Agency, Environmental Section, P.O. Box 3056, Dar es Salaam, Tanzania.
| | - Jing Zhang
- State Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai, 200062, People's Republic of China
| | - Alfred N N Muzuka
- Nelson Mandela African Institution of Science and Technology, P.O. Box 477, Arusha, Tanzania
| | - Karoli N Njau
- Nelson Mandela African Institution of Science and Technology, P.O. Box 477, Arusha, Tanzania
| | - Guosen Zhang
- State Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai, 200062, People's Republic of China
| | - Arafa Maggid
- Pangani River Basin Water Board, P.O.Box 7617, Moshi, Tanzania
| | - Maureen K Mzuza
- State Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai, 200062, People's Republic of China
- Faculty of Environmental Science, Mzuzu University, P/Bag 201, Luwinga, Mzuzu, Malawi
| | - Jie Jin
- State Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai, 200062, People's Republic of China
| | - Sonali Pradhan
- State Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai, 200062, People's Republic of China
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McLaughlin DB, Flinders CA. Quantifying Variability in Four US Streams Using a Long-Term Data Set: Patterns in Water Quality Endpoints. ENVIRONMENTAL MANAGEMENT 2016; 57:368-388. [PMID: 26404431 DOI: 10.1007/s00267-015-0609-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/23/2014] [Accepted: 09/09/2015] [Indexed: 06/05/2023]
Abstract
Temporal and spatial patterns of variability in aquatic ecosystems can be complex and difficult to quantify or predict. However, understanding this variability is critical to making a wide range of water quality assessment and management decisions effectively. Here we report on the nature and magnitude of spatial and temporal variation observed in conductivity, total phosphorus, and total nitrogen during a 15-year study of four U.S. stream systems receiving pulp and paper mill effluent discharges. Sampling locations included mainstem sites upstream and downstream of effluent discharge, as well as tributary sites. In all four stream systems, variability in conductivity as measured by the coefficient of variation was typically in the range of 10-50%, and was as low or lower than the variability in nutrient endpoints. The effect of effluent discharge was relatively minor overall, except in some site-specific instances. Some relatively large differences between tributary and mainstem variability were also observed. Flow variation tended to have a more consistent and larger effect on conductivity variation compared to the nutrient endpoints. After removing flow effects, significant relatively complex trends over time were observed at several sites. Changes in variability during the study also were observed. This paper highlights the importance of long-term studies to accurately characterize water quality variability used in water quality management decision-making.
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Affiliation(s)
- Douglas B McLaughlin
- National Council for Air and Stream Improvement, A-114 Parkview Campus, Western Michigan University, Mail Stop 5436, Kalamazoo, MI, 49008, USA.
| | - Camille A Flinders
- National Council for Air and Stream Improvement, P.O. Box 1259, Anacortes, WA, 98221, USA
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Sun Y, Guo Q, Liu J, Wang R. Scale effects on spatially varying relationships between urban landscape patterns and water quality. ENVIRONMENTAL MANAGEMENT 2014; 54:272-287. [PMID: 24838413 DOI: 10.1007/s00267-014-0287-x] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/03/2013] [Accepted: 04/23/2014] [Indexed: 06/03/2023]
Abstract
Scientific interpretation of the relationships between urban landscape patterns and water quality is important for sustainable urban planning and watershed environmental protection. This study applied the ordinary least squares regression model and the geographically weighted regression model to examine the spatially varying relationships between 12 explanatory variables (including three topographical factors, four land use parameters, and five landscape metrics) and 15 water quality indicators in watersheds of Yundang Lake, Maluan Bay, and Xinglin Bay with varying levels of urbanization in Xiamen City, China. A local and global investigation was carried out at the watershed-level, with 50 and 200 m riparian buffer scales. This study found that topographical features and landscape metrics are the dominant factors of water quality, while land uses are too weak to be considered as a strong influential factor on water quality. Such statistical results may be related with the characteristics of land use compositions in our study area. Water quality variations in the 50 m buffer were dominated by topographical variables. The impact of landscape metrics on water quality gradually strengthen with expanding buffer zones. The strongest relationships are obtained in entire watersheds, rather than in 50 and 200 m buffer zones. Spatially varying relationships and effective buffer zones were verified in this study. Spatially varying relationships between explanatory variables and water quality parameters are more diversified and complex in less urbanized areas than in highly urbanized areas. This study hypothesizes that all these varying relationships may be attributed to the heterogeneity of landscape patterns in different urban regions. Adjustment of landscape patterns in an entire watershed should be the key measure to successfully improving urban lake water quality.
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Affiliation(s)
- Yanwei Sun
- Key Lab of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, 1799 Jimei Road, Xiamen, 361021, People's Republic of China
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