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  1. Article ; Online: Centennial dynamics of floodplain wetland in the largest freshwater lake in China: Implications on floodplain lake restoration.

    Li, Bing / Wan, Rongrong / Yang, Guishan

    Journal of environmental management

    2024  Volume 353, Page(s) 120192

    Abstract: Long-term mapping of floodplain wetland dynamics is fundamental for wetland protection and restoration, but it is restricted to decadal scales using satellite observations owing to scarcity of spatial data over long-term scales. The present study ... ...

    Abstract Long-term mapping of floodplain wetland dynamics is fundamental for wetland protection and restoration, but it is restricted to decadal scales using satellite observations owing to scarcity of spatial data over long-term scales. The present study concentrates on the centennial dynamics of floodplain wetland in Poyang Lake, the largest freshwater lake in China. Historical topographic maps and Landsat imagery were combined to reconstruct the centennial floodplain wetland map series. A robust random forest algorithm for the land cover classification was used to investigate the conversion of the floodplain wetland to other land cover types and quantify the magnitude of the influence of hydrological disconnection over the past century. Results show that the Poyang Lake floodplain wetland experienced a net loss of 35.7 %, from 5024.3 km
    MeSH term(s) Wetlands ; Lakes ; Environmental Monitoring/methods ; Agriculture ; China ; Ecosystem
    Language English
    Publishing date 2024-01-28
    Publishing country England
    Document type Journal Article
    ZDB-ID 184882-3
    ISSN 1095-8630 ; 0301-4797
    ISSN (online) 1095-8630
    ISSN 0301-4797
    DOI 10.1016/j.jenvman.2024.120192
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  2. Article ; Online: Reassessment of the declines in the largest freshwater lake in China (Poyang Lake): uneven trends, risks and underlying causes

    Li, Bing / Yang, Guishan / Wan, Rongrong

    Journal of Environmental Management. 2023 Sept., v. 342 p.118157-

    2023  

    Abstract: Water level decline in the largest freshwater lake in China (Poyang Lake) has raised grave concerns and continuous debates regarding the proposal of a water control project. Previous hydrologic investigations on the water level decline in Poyang Lake ... ...

    Abstract Water level decline in the largest freshwater lake in China (Poyang Lake) has raised grave concerns and continuous debates regarding the proposal of a water control project. Previous hydrologic investigations on the water level decline in Poyang Lake were conducted mostly during recession season and typical dry years and hence lacked the comprehensive view of associated risks and possible spatial heterogeneity of trend during low water level periods. The present study reassessed the long-term trend and regime shift of low water level variations and their associated risks based on hydrological data across multiple stations in Poyang Lake during 1952–2021. The underlying causes of the trends of water level decline were further investigated. Results showed uneven trends and risks of water level variations in different seasons and across different lake regions. The water level of all five hydrological stations in Poyang Lake significantly dropped in the recession season, and the risks of water level decline evidently increased since 2003, which could be largely attributed to the water level drop in the Yangtze River. In terms of the dry season, clear spatial differences of long-term trend of water level were found, with water level in the central and southern lake regions significantly dropping, which was probably caused by dramatic bathymetry undercutting in the central and northern lake regions. In addition, the impacts of topographic changes became significant when water level of Hukou fell below 13.8 and 11.8m for the northern and southern lake regions, respectively. By contrast, water level in the northern lake region showed increasing trends in the dry season. In addition, only the occurrence time of water level under moderate risk significantly advanced for all stations except for Hukou. The present study could provide a full picture of low water level trends, associated risks across different lake regions and underlying causes in Poyang Lake, thus providing insights into adaptive water resources management.
    Keywords dry season ; environmental management ; freshwater lakes ; hydrologic data ; risk ; spatial variation ; topography ; China ; Yangtze River ; Water level decline ; Long-term trend ; Regime shift ; Bathymetric change ; Poyang lake
    Language English
    Dates of publication 2023-09
    Publishing place Elsevier Ltd
    Document type Article ; Online
    ZDB-ID 184882-3
    ISSN 1095-8630 ; 0301-4797
    ISSN (online) 1095-8630
    ISSN 0301-4797
    DOI 10.1016/j.jenvman.2023.118157
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  3. Article ; Online: Stream water quality optimized prediction based on human activity intensity and landscape metrics with regional heterogeneity in Taihu Basin, China

    Wang, Ya’nan / Li, Bing / Yang, Guishan

    Environ Sci Pollut Res. 2023 Jan., v. 30, no. 2 p.4986-5004

    2023  

    Abstract: The driving effects of landscape metrics on water quality have been acknowledged widely, however, the guiding significance of human activity intensity and landscape metrics based on reference conditions for water environment management remains to be ... ...

    Abstract The driving effects of landscape metrics on water quality have been acknowledged widely, however, the guiding significance of human activity intensity and landscape metrics based on reference conditions for water environment management remains to be explored. Thus, we used the self-organized map, long- and short-term memory (LSTM) algorithm, and geographic detectors to simulate the response of human activity intensity and landscape metrics to water quality in Taihu Lake Basin, China. Fitting results of LSTM displayed that the accuracy was acceptable, and scenario 2 (regional heterogeneity) was more efficient than scenario 1 (regional consistent) in the improvement of water quality. In the driving analysis for the reference conditions, clusters I and II (urban agglomeration areas) were mainly affected by the amount of production wastewater per unit of developed land and the amount of livelihood wastewater per unit of developed land, respectively. Their optimal values were 0.09 × 10³ t/km² (reduction of 35.71%) and 0.2 × 10³ t/km² (reduction of 4.76%). Cluster III (agricultural production areas) was mainly affected by interference intensity, and the optimal value was 2.17 (increased 38.22%), and cluster IV (ecological forest areas) was mainly affected by the fragmentation of cropland, and the optimal value was 1.14 (reduction of 1.72%). The research provides a reference for the prediction of water quality response and presents an ecological and economic sustainability way for watershed governance.
    Keywords algorithms ; basins ; cropland ; economic sustainability ; forests ; governance ; humans ; lakes ; landscapes ; livelihood ; memory ; prediction ; streams ; wastewater ; water quality ; watersheds ; China
    Language English
    Dates of publication 2023-01
    Size p. 4986-5004.
    Publishing place Springer Berlin Heidelberg
    Document type Article ; Online
    ZDB-ID 1178791-0
    ISSN 1614-7499 ; 0944-1344
    ISSN (online) 1614-7499
    ISSN 0944-1344
    DOI 10.1007/s11356-022-22536-5
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  4. Article ; Online: Reassessment of the declines in the largest freshwater lake in China (Poyang Lake): uneven trends, risks and underlying causes.

    Li, Bing / Yang, Guishan / Wan, Rongrong

    Journal of environmental management

    2023  Volume 342, Page(s) 118157

    Abstract: Water level decline in the largest freshwater lake in China (Poyang Lake) has raised grave concerns and continuous debates regarding the proposal of a water control project. Previous hydrologic investigations on the water level decline in Poyang Lake ... ...

    Abstract Water level decline in the largest freshwater lake in China (Poyang Lake) has raised grave concerns and continuous debates regarding the proposal of a water control project. Previous hydrologic investigations on the water level decline in Poyang Lake were conducted mostly during recession season and typical dry years and hence lacked the comprehensive view of associated risks and possible spatial heterogeneity of trend during low water level periods. The present study reassessed the long-term trend and regime shift of low water level variations and their associated risks based on hydrological data across multiple stations in Poyang Lake during 1952-2021. The underlying causes of the trends of water level decline were further investigated. Results showed uneven trends and risks of water level variations in different seasons and across different lake regions. The water level of all five hydrological stations in Poyang Lake significantly dropped in the recession season, and the risks of water level decline evidently increased since 2003, which could be largely attributed to the water level drop in the Yangtze River. In terms of the dry season, clear spatial differences of long-term trend of water level were found, with water level in the central and southern lake regions significantly dropping, which was probably caused by dramatic bathymetry undercutting in the central and northern lake regions. In addition, the impacts of topographic changes became significant when water level of Hukou fell below 13.8 and 11.8m for the northern and southern lake regions, respectively. By contrast, water level in the northern lake region showed increasing trends in the dry season. In addition, only the occurrence time of water level under moderate risk significantly advanced for all stations except for Hukou. The present study could provide a full picture of low water level trends, associated risks across different lake regions and underlying causes in Poyang Lake, thus providing insights into adaptive water resources management.
    MeSH term(s) Lakes ; Environmental Monitoring/methods ; Rivers ; Water ; China
    Chemical Substances Water (059QF0KO0R)
    Language English
    Publishing date 2023-05-15
    Publishing country England
    Document type Journal Article
    ZDB-ID 184882-3
    ISSN 1095-8630 ; 0301-4797
    ISSN (online) 1095-8630
    ISSN 0301-4797
    DOI 10.1016/j.jenvman.2023.118157
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  5. Article ; Online: Centennial loss of lake wetlands in the Yangtze Plain, China: Impacts of land use changes accompanied by hydrological connectivity loss.

    Li, Bing / Wan, Rongrong / Yang, Guishan / Yang, Su / Dong, Lifang / Cui, Junli / Zhang, Tao

    Water research

    2024  Volume 256, Page(s) 121578

    Abstract: Humans have played a fundamental role in altering lake wetland ecosystems, necessitating the use of diverse data types to accurately quantify long-term changes, identify potential drivers, and establish a baseline status. We complied high-resolution ... ...

    Abstract Humans have played a fundamental role in altering lake wetland ecosystems, necessitating the use of diverse data types to accurately quantify long-term changes, identify potential drivers, and establish a baseline status. We complied high-resolution historical topographic maps and Landsat imagery to assess the dynamics of the lake wetlands in the Yangtze Plain over the past century, with special attention to land use and hydrological connectivity changes. Results showed an overall loss of 45.6 % (∼11,859.5 km
    MeSH term(s) Wetlands ; China ; Lakes ; Hydrology ; Conservation of Natural Resources ; Environmental Monitoring ; Agriculture/history
    Language English
    Publishing date 2024-04-06
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 202613-2
    ISSN 1879-2448 ; 0043-1354
    ISSN (online) 1879-2448
    ISSN 0043-1354
    DOI 10.1016/j.watres.2024.121578
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  6. Article: Exploring the pivotal response relationship between landscape composition–configuration–intensity metrics and water quality in Taihu basin, China

    Wang, Ya'nan / Yang, Guishan / Li, Bing

    Ecological indicators. 2022 Mar., v. 136

    2022  

    Abstract: Declining water quality has exacerbated water scarcity worldwide, and effective water quality management requires a solid understanding of the factors of water quality. The response of water quality to landscape composition and configuration has been ... ...

    Abstract Declining water quality has exacerbated water scarcity worldwide, and effective water quality management requires a solid understanding of the factors of water quality. The response of water quality to landscape composition and configuration has been extensively studied, but landscape intensity has been disregarded. Therefore, constructing a comprehensive impact factor indicator and determining the pivotal factors are essential. This study focused on the response relationship of landscape composition, configuration, and intensity metrics to water quality. Water quality index included total nitrogen (TN) and total phosphorus (TP) from 43 monthly sites in the main rivers of the Taihu Lake Basin (TLB) in 2017. The TN:TP index was calculated. We used the partial least squares regression (PLS) method to explore the response strength between each index at different temporal and spatial scales, and the coefficient of determination (R²) calculated based on PLS was 0.4677 to 0.9039, in which the simulation effect was acceptable. In terms of pivotal influenced factors, industrial and domestic effluents for TN and TP showed a major effect in crop (CDR) and forest dominated region (FDR). For the TN:TP index, the pivotal influencing factors was merely industrial waste water discharge. In the fitting based on the pivotal factors of polynomial regression (PR), the landscape threshold of industrial and domestic effluents intensities to TN in CDR were higher than FDR, and landscape threshold substantially exceeded the water quality standard lines in CDR. This research can provide a reference for water quality precision management, distribution of pollutant emissions, and regional sustainable planning from the perspective of landscape regulation in TLB.
    Keywords basins ; forests ; industrial wastewater ; lakes ; landscapes ; total nitrogen ; total phosphorus ; water quality ; water quality standards ; water shortages ; watersheds ; China
    Language English
    Dates of publication 2022-03
    Publishing place Elsevier Ltd
    Document type Article
    ZDB-ID 2036774-0
    ISSN 1872-7034 ; 1470-160X
    ISSN (online) 1872-7034
    ISSN 1470-160X
    DOI 10.1016/j.ecolind.2022.108638
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  7. Article: Chlorophyll a variations and responses to environmental stressors along hydrological connectivity gradients: Insights from a large floodplain lake

    Li, Bing / Yang, Guishan / Wan, Rongrong / Xu, Ligang

    Environmental pollution. 2022 Aug. 15, v. 307

    2022  

    Abstract: Understanding the key drivers of eutrophication in floodplain lakes has long been a challenge. In this study, the Chlorophyll a (Chla) variations and associated relationships with environmental stressors along the temporal hydrological connectivity ... ...

    Abstract Understanding the key drivers of eutrophication in floodplain lakes has long been a challenge. In this study, the Chlorophyll a (Chla) variations and associated relationships with environmental stressors along the temporal hydrological connectivity gradient were investigated using a 11-year dataset in a large floodplain lake (Poyang Lake). A geostatistical method was firstly used to calculate the hydrological connectivity curves for each sampling campaign that was further classified by K-means technique. Linear mixed effect (LME) models were developed through the inclusion of the site as a random effect to identify the limiting factors of Chla variations. The results identified three clear hydrological connectivity variation patterns with remarkable connecting water area changes in Poyang Lake. Furthermore, hydrological connectivity changes exerted a great influence on environmental variables in Poyang Lake, with a decrease in nutrient concentrations as the hydrological connectivity enhanced. The Chla exhibited contrast variations with nutrient variables along the temporal hydrological connectivity gradient and generally depended on WT, DO, EC and TP, for the entire study period. Nevertheless, the relative roles of nutrient and non-nutrient variables in phytoplankton growth varied with different degrees of hydrological connectivity as confirmed by the LME models. In the low hydrological connectivity phase, the Chla dynamics were controlled only by water temperature with sufficient nutrients available. In the high hydrological connectivity phase, the synergistic influences of both nutrient and physical variables jointly limited the Chla dynamics. In addition, a significant increasing trend was observed for Chla variations from 2008 to 2018 in the HHC phase, which could largely be attributed to the elevated nutrient concentrations. This study confirmed the strong influences of hydrological connectivity on the nutrient and non-nutrient limitation of phytoplankton growth in floodplain lakes. The present study could provide new insights on the driving mechanisms underlying phytoplankton growth in floodplain lakes.
    Keywords chlorophyll ; data collection ; eutrophication ; floodplains ; geostatistics ; hydrology ; lakes ; phytoplankton ; pollution ; water temperature
    Language English
    Dates of publication 2022-0815
    Publishing place Elsevier Ltd
    Document type Article
    ZDB-ID 280652-6
    ISSN 1873-6424 ; 0013-9327 ; 0269-7491
    ISSN (online) 1873-6424
    ISSN 0013-9327 ; 0269-7491
    DOI 10.1016/j.envpol.2022.119566
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  8. Article ; Online: Optimizing payment for ecosystem services in a drinking water source watershed by quantifying the supply and demand of soil retention service.

    Tan, Lei / Yang, Guishan / Zhu, Qing / Wan, Rongrong / Shi, Kun

    Journal of environmental management

    2023  Volume 331, Page(s) 117303

    Abstract: Payment for ecosystem services (PES) plays a vital role in coordinating the relationship between ecosystem services supply and demand sides in watersheds. The upstream soil retention service brings significant off-site benefits to the downstream ... ...

    Abstract Payment for ecosystem services (PES) plays a vital role in coordinating the relationship between ecosystem services supply and demand sides in watersheds. The upstream soil retention service brings significant off-site benefits to the downstream stakeholders. To fill gaps in the supply and demand of soil retention services for PES, we developed an approach that combined long-term observation data, hydrological model, and cost-benefit analysis. We applied and demonstrated the approach in a typical drinking water source watershed. By constructing the relationship between water clarity and the demanded trophic state, we identified the demand for soil retention as the suspended sediment concentration ≤4.4 mg L
    MeSH term(s) Ecosystem ; Soil ; Drinking Water ; Water Movements ; Hydrology
    Chemical Substances Soil ; Drinking Water
    Language English
    Publishing date 2023-01-19
    Publishing country England
    Document type Journal Article
    ZDB-ID 184882-3
    ISSN 1095-8630 ; 0301-4797
    ISSN (online) 1095-8630
    ISSN 0301-4797
    DOI 10.1016/j.jenvman.2023.117303
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  9. Article ; Online: Stream water quality optimized prediction based on human activity intensity and landscape metrics with regional heterogeneity in Taihu Basin, China.

    Wang, Ya'nan / Li, Bing / Yang, Guishan

    Environmental science and pollution research international

    2022  Volume 30, Issue 2, Page(s) 4986–5004

    Abstract: The driving effects of landscape metrics on water quality have been acknowledged widely, however, the guiding significance of human activity intensity and landscape metrics based on reference conditions for water environment management remains to be ... ...

    Abstract The driving effects of landscape metrics on water quality have been acknowledged widely, however, the guiding significance of human activity intensity and landscape metrics based on reference conditions for water environment management remains to be explored. Thus, we used the self-organized map, long- and short-term memory (LSTM) algorithm, and geographic detectors to simulate the response of human activity intensity and landscape metrics to water quality in Taihu Lake Basin, China. Fitting results of LSTM displayed that the accuracy was acceptable, and scenario 2 (regional heterogeneity) was more efficient than scenario 1 (regional consistent) in the improvement of water quality. In the driving analysis for the reference conditions, clusters I and II (urban agglomeration areas) were mainly affected by the amount of production wastewater per unit of developed land and the amount of livelihood wastewater per unit of developed land, respectively. Their optimal values were 0.09 × 10
    MeSH term(s) Humans ; Water Quality ; Rivers ; Benchmarking ; Wastewater ; Human Activities ; China ; Environmental Monitoring/methods
    Chemical Substances Wastewater
    Language English
    Publishing date 2022-08-17
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 1178791-0
    ISSN 1614-7499 ; 0944-1344
    ISSN (online) 1614-7499
    ISSN 0944-1344
    DOI 10.1007/s11356-022-22536-5
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  10. Article ; Online: Chlorophyll a variations and responses to environmental stressors along hydrological connectivity gradients: Insights from a large floodplain lake.

    Li, Bing / Yang, Guishan / Wan, Rongrong / Xu, Ligang

    Environmental pollution (Barking, Essex : 1987)

    2022  Volume 307, Page(s) 119566

    Abstract: Understanding the key drivers of eutrophication in floodplain lakes has long been a challenge. In this study, the Chlorophyll a (Chla) variations and associated relationships with environmental stressors along the temporal hydrological connectivity ... ...

    Abstract Understanding the key drivers of eutrophication in floodplain lakes has long been a challenge. In this study, the Chlorophyll a (Chla) variations and associated relationships with environmental stressors along the temporal hydrological connectivity gradient were investigated using a 11-year dataset in a large floodplain lake (Poyang Lake). A geostatistical method was firstly used to calculate the hydrological connectivity curves for each sampling campaign that was further classified by K-means technique. Linear mixed effect (LME) models were developed through the inclusion of the site as a random effect to identify the limiting factors of Chla variations. The results identified three clear hydrological connectivity variation patterns with remarkable connecting water area changes in Poyang Lake. Furthermore, hydrological connectivity changes exerted a great influence on environmental variables in Poyang Lake, with a decrease in nutrient concentrations as the hydrological connectivity enhanced. The Chla exhibited contrast variations with nutrient variables along the temporal hydrological connectivity gradient and generally depended on WT, DO, EC and TP, for the entire study period. Nevertheless, the relative roles of nutrient and non-nutrient variables in phytoplankton growth varied with different degrees of hydrological connectivity as confirmed by the LME models. In the low hydrological connectivity phase, the Chla dynamics were controlled only by water temperature with sufficient nutrients available. In the high hydrological connectivity phase, the synergistic influences of both nutrient and physical variables jointly limited the Chla dynamics. In addition, a significant increasing trend was observed for Chla variations from 2008 to 2018 in the HHC phase, which could largely be attributed to the elevated nutrient concentrations. This study confirmed the strong influences of hydrological connectivity on the nutrient and non-nutrient limitation of phytoplankton growth in floodplain lakes. The present study could provide new insights on the driving mechanisms underlying phytoplankton growth in floodplain lakes.
    MeSH term(s) China ; Chlorophyll ; Chlorophyll A ; Environmental Monitoring/methods ; Eutrophication ; Hydrology ; Lakes ; Phytoplankton ; Water
    Chemical Substances Water (059QF0KO0R) ; Chlorophyll (1406-65-1) ; Chlorophyll A (YF5Q9EJC8Y)
    Language English
    Publishing date 2022-05-30
    Publishing country England
    Document type Journal Article
    ZDB-ID 280652-6
    ISSN 1873-6424 ; 0013-9327 ; 0269-7491
    ISSN (online) 1873-6424
    ISSN 0013-9327 ; 0269-7491
    DOI 10.1016/j.envpol.2022.119566
    Database MEDical Literature Analysis and Retrieval System OnLINE

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