Understanding the risks from diffuse pollution on wetland eco-systems: The effectiveness of water quality classification schemes

Cui, Song; Yu, Ting; Zhang, Fuxiang; Fu, Qiang; Hough, Rupert; An, Lihui; Gao, Shang; Zhang, Zulin; Hu, Ping; Zhu, Qiande; Pei, Zhongxu

doi:10.1016/j.ecoleng.2020.105929

Cited by 21 publications

(8 citation statements)

References 40 publications

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“…In Uganda, wetland area reduced by 47% from 1974 to 2013, and 56% of wetland loss has been caused by urban development, industry and agriculture (Wasswa et al, 2019). This pattern is also seen in wetlands in Turkey (Dadaser-Celik et al, 2007;Dervisoglu, 2021), India (Mozumder et al, 2014;Ashok et al, 2021) and China (An et al, 2007;Song et al, 2012;Cui et al, 2020). Wetland loss, globally and in Africa, has accelerated over recent decades .…”

Section: Wetland Transformation In Africa and Implications For Ecosys...mentioning

confidence: 99%

Inland wetlands in Africa: A review of their typologies and ecosystem services

Mandishona¹,

Knight

2022

Progress in Physical Geography: Earth and Environment

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Wetlands, as one of the most productive natural ecosystems globally, have important roles in Earth system functioning through supporting biodiversity, storing carbon, recharging groundwater and removing pollutants. They are also critical locations for providing ecosystem and environmental services and thus supporting human livelihoods, especially in Africa where inland wetlands are extensively used for agriculture and as water sources. Despite this, the Ramsar Convention classifications do not wholly describe the physical nature and properties of African inland wetlands, or the varied and interconnected ways in which different ecosystem and environmental services are manifested in them. This review critically discusses the different types and definitions of inland wetlands in Africa with particular reference to dambos, based on wetland geomorphological, hydrological and ecological properties, and then considers the entangled nature of their ecosystem services and the benefits provided to local communities. Considering these services in a more integrated way – and not as a tick-box exercise as per the Ramsar Convention – allows for a better understanding of human–environment relations in wetlands, with implications for wetland sustainability and more effective management practices.

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Section: Wetland Transformation In Africa and Implications For Ecosys...mentioning

confidence: 99%

Inland wetlands in Africa: A review of their typologies and ecosystem services

Mandishona¹,

Knight

2022

Progress in Physical Geography: Earth and Environment

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“…Qixing River wetland is located in the middle and lower reaches of the Qixing River, with the geographical coordinates between: 132 • 00 22 ~132 • 24 46 E and 46 • 39 45 ~46 • 48 24 N. The total area of Qixing River wetland is 20,000 ha, of which the reed marsh accounts for 70% [24]. Qixing River wetland is one of the most representative epitomes of the virgin landscape of Sanjiang Plain, the best preserved natural freshwater wetlands in China, and the most important breeding grounds for water birds in Northeast Asia.…”

Section: Study Areamentioning

confidence: 99%

Levels, Inventory, and Risk Assessment of Heavy Metals in Wetland Ecosystem, Northeast China: Implications for Snow Cover Monitoring

Zhang

Meng

Gao

et al. 2021

Water

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Snow cover is a unique environmental medium in cold regions that can cause potential risks to the ecological environment, due to the release of pollutants that are stored in it. In this study, the Qixing River wetland, located in the Sanjiang Plain of China, was taken as the target research area. Heavy metals in snow cover, including Cu, Ni, Cr, Cd, Pb, and Zn were measured at 19 sampling sites. The results showed that the average concentrations of heavy metals were: Zn (103.46 ± 39.16) > Pb (13.08 ± 4.99) > Cr (11.97 ± 2.82) > Ni (9.55 ± 4.96) > Cu (6.19 ± 1.79) > Cd (0.55 ± 0.25) μg·L−1. Cr and Zn were between Class I and Class II in the “Environmental Quality Standards for Surface Water” of China (GB3838-2002). Pb in snow exceeded the upper limit of Class II, and was significantly higher than concentrations measured in water samples from the Qixing River wetland (p < 0.05), indicating that atmospheric deposition during winter was the major source of Pb. The water pollution index (WPI) indicated that 61.0% of samples could be considered of “clean” status, while the contribution of Zn, Pb, and Cr to WPI were 33.3%, 21.0%, and 19.3%, respectively. A preliminary evaluation of heavy metal inventory in snow cover showed that the residue level of Zn was the highest (2313.57 ± 1194.67 μg·m−2), while Cd was the lowest (13.91 ± 10.45 μg·m−2). The areas with high residues of heavy metals were all located near the buffer zone of the wetland (except for Zn), where snow depth tended to be greatest. Exposure analysis indicated that the risks to winter resident birds from snow ingestion was minimal, but it should be noted that the exposure risk was higher in birds with lower bodyweights. This study provides important information and scientific knowledge on the pollution characteristics and residue inventory of heavy metals in wetland ecosystems, while the results can also provide a monitoring method, reflecting atmospheric environmental quality at a local or regional scale.

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“…This has resulted in the total wetland area in the world rapidly decreasing [6]. The decline is noted due to increased shrimp farming, the conversion of wetlands to agricultural and construction land, and excessive fuel logging [7][8][9]. At the same time, these impacts deteriorate the water quality and adversely affect the ecosystem functions and services, which have also been reported in other wetlands in the world [7,10].…”

Section: Introductionmentioning

confidence: 99%

“…The decline is noted due to increased shrimp farming, the conversion of wetlands to agricultural and construction land, and excessive fuel logging [7][8][9]. At the same time, these impacts deteriorate the water quality and adversely affect the ecosystem functions and services, which have also been reported in other wetlands in the world [7,10]. Wetland ecosystems are susceptible to pollution sources and can be easily destroyed when exposed to impacts [11].…”

Section: Introductionmentioning

confidence: 99%

“…The water quality in wetland ecosystems is considered the major determinant of the habitats of various wetland organisms. Therefore, the water quality in wetlands has been of interest to scientific researchers [7,[12][13][14]. Water quality monitoring in wetland environments can be measuring the physical and chemical water quality parameters, evaluating the eutrophication, and using biological parameters [15].…”

Section: Introductionmentioning

confidence: 99%

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The Variation of Water Quality in Three Land Use Types in U Minh Ha National Park, Ca Mau Province, Vietnam Using Multivariate Statistical Approaches

Giao

Truong

2021

Water

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This study was conducted to assess the water quality affected by different land use patterns in U Minh Ha National Park, Ca Mau, Vietnam. This study determined the water quality characteristics in three land use types (Acacia hybrid, planted melaleuca cajuputi, and natural melaleuca cajuputi) at different plant ages on two acid sulfate soil layers in the rainy season (8/2018) and dry season (4/2019) using nine water quality parameters. Multivariate statistical analyses were applied to evaluate the correlation and spatial and temporal variations in the water quality. The study results showed that the water quality in S-ASS was more polluted than that in D-ASS, characterized by low pH; the EC, organic matters (BOD and COD), nutrients (N-NH4+ and N-NO3−), and metal ions (Al3+ and Fe3+) were high; and the EC, BOD, COD, Al3+, and N-NO3− were determined high in D-ASS. The NMC area was noted to have high concentrations of organic matters and nutrients, while the factors specific to acidic soil were found to be higher in the AH and PMC areas. The water quality in the rainy season tended to be more polluted than that in the dry season. The cluster analysis grouped the land use patterns on S-ASS and D-ASS in both seasons into four groups, with a clear similarity between the wet and dry seasons in the areas at various plant ages. The seasonal variations of the water quality of the three land use types were distinguished by the main parameters, including pH, EC, BOD, N-NO3−, and Al3+ (S-ASS) and EC, BOD, N-NO3−, N-NH4+, and Fe3+ (D-ASS). Therefore, there is a need for better water management measures in the rainy season and focus on the key parameters causing water quality variations in each area. The findings in this study provided important information for the future water quality monitoring for both agricultural production and conservation in the national park.

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Understanding the risks from diffuse pollution on wetland eco-systems: The effectiveness of water quality classification schemes

Cited by 21 publications

References 40 publications

Inland wetlands in Africa: A review of their typologies and ecosystem services

Inland wetlands in Africa: A review of their typologies and ecosystem services

Levels, Inventory, and Risk Assessment of Heavy Metals in Wetland Ecosystem, Northeast China: Implications for Snow Cover Monitoring

The Variation of Water Quality in Three Land Use Types in U Minh Ha National Park, Ca Mau Province, Vietnam Using Multivariate Statistical Approaches

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