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Liu W, Zhou C, Wang X, Bai X, Ren Y. Spatiotemporal distribution of ecological risk of antibiotics in seven major river basins of China: An optimized multilevel assessment approach. Water Sci Technol 2024; 89:2035-2043. [PMID: 38678407 DOI: 10.2166/wst.2024.100] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Accepted: 03/08/2024] [Indexed: 04/30/2024]
Abstract
Antibiotics have been recognized as emerging pollutants due to their ecological and human health risks. This paper aims to enhance the ecological risk assessment (ERA) framework for antibiotics, to illustrate the distribution of these risks across different locations and seasons, and to identify the antibiotics that pose high ecological risk. This paper focuses on 52 antibiotics in seven major basins of China. Relying on the optimized approach of ERA and antibiotic monitoring data published from 2017 to 2021, the results of ERA are presented in multilevel. Across the study area, there are marked variations in the spatial distribution of antibiotics' ecological risks. The Huaihe River Basin, the Haihe River Basin, and the Liaohe River Basin are the top three in the ranking of present ecological risks. The research results also reveal significant differences in temporal variation, underscoring the need for increased attention during certain seasons. Ten antibiotics with high contribution rates to ecological risk are identified, which is an important reference to formulate an antibiotic control list. The multilevel results provided both risk values and their ubiquities across a broad study region, which is a powerful support for developing ecological risk management of antibiotics.
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Affiliation(s)
- Wei Liu
- School of Resource and Environmental Economics, Inner Mongolia University of Finance and Economics, Resource and Environmental Monitoring Laboratory, Hohhot 010070, Inner Mongolia Autonomous Region, China E-mail:
| | - Chunsheng Zhou
- School of Resource and Environmental Economics, Inner Mongolia University of Finance and Economics, Resource and Environmental Monitoring Laboratory, Hohhot 010070, Inner Mongolia Autonomous Region, China
| | - Xiangfei Wang
- Inner Mongolia Autonomous Region Environmental Monitoring Station, Hohhot, Inner Mongolia Autonomous Region, China
| | - Xiulian Bai
- School of Resource and Environmental Economics, Inner Mongolia University of Finance and Economics, Resource and Environmental Monitoring Laboratory, Hohhot 010070, Inner Mongolia Autonomous Region, China
| | - Yazhe Ren
- School of Resource and Environmental Economics, Inner Mongolia University of Finance and Economics, Resource and Environmental Monitoring Laboratory, Hohhot 010070, Inner Mongolia Autonomous Region, China
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Chen S, Fu YH, Geng X, Hao Z, Tang J, Zhang X, Xu Z, Hao F. Influences of Shifted Vegetation Phenology on Runoff Across a Hydroclimatic Gradient. Front Plant Sci 2022; 12:802664. [PMID: 35058961 PMCID: PMC8764410 DOI: 10.3389/fpls.2021.802664] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/27/2021] [Accepted: 11/23/2021] [Indexed: 06/14/2023]
Abstract
Climate warming has changed vegetation phenology, and the phenology-associated impacts on terrestrial water fluxes remain largely unquantified. The impacts are linked to plant adjustments and responses to climate change and can be different in different hydroclimatic regions. Based on remote sensing data and observed river runoff of hydrological station from six river basins across a hydroclimatic gradient from northeast to southwest in China, the relative contributions of the vegetation (including spring and autumn phenology, growing season length (GSL), and gross primary productivity) and climatic factors affecting the river runoffs over 1982-2015 were investigated by applying gray relational analysis (GRA). We found that the average GSLs in humid regions (190-241 days) were longer than that in semi-humid regions (186-192 days), and the average GSLs were consistently extended by 4.8-13.9 days in 1982-2015 period in six river basins. The extensions were mainly linked to the delayed autumn phenology in the humid regions and to advanced spring phenology in the semi-humid regions. Across all river basins, the GRA results showed that precipitation (r = 0.74) and soil moisture (r = 0.73) determine the river runoffs, and the vegetation factors (VFs) especially the vegetation phenology also affected the river runoffs (spring phenology: r = 0.66; GSL: r = 0.61; autumn phenology: r = 0.59), even larger than the contribution from temperature (r = 0.57), but its relative importance is climatic region-dependent. Interestingly, the spring phenology is the main VF in the humid region for runoffs reduction, while both spring and autumn growth phenology are the main VFs in the semi-humid region, because large autumn phenology delay and less water supply capacity in spring amplify the effect of advanced spring phenology. This article reveals diverse linkages between climatic and VFs, and runoff in different hydroclimatic regions, and provides insights that vegetation phenology influences the ecohydrology process largely depending on the local hydroclimatic conditions, which improve our understanding of terrestrial hydrological responses to climate change.
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Affiliation(s)
- Shouzhi Chen
- College of Water Sciences, Beijing Normal University, Beijing, China
| | - Yongshuo H. Fu
- College of Water Sciences, Beijing Normal University, Beijing, China
- Plants and Ecosystems, Department of Biology, University of Antwerp, Antwerp, Belgium
| | - Xiaojun Geng
- College of Water Sciences, Beijing Normal University, Beijing, China
| | - Zengchao Hao
- College of Water Sciences, Beijing Normal University, Beijing, China
| | - Jing Tang
- Department of Physical Geography and Ecosystem Science, Lund University, Lund, Sweden
- Terrestrial Ecology Section, Department of Biology, University of Copenhagen, Copenhagen, Denmark
- Center for Permafrost (CENPERM), University of Copenhagen, Copenhagen, Denmark
| | - Xuan Zhang
- College of Water Sciences, Beijing Normal University, Beijing, China
| | - Zongxue Xu
- College of Water Sciences, Beijing Normal University, Beijing, China
| | - Fanghua Hao
- College of Water Sciences, Beijing Normal University, Beijing, China
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Wang E, Li Q, Hu H, Peng F, Zhang P, Li J. Spatial characteristics and influencing factors of river pollution in China. Water Environ Res 2019; 91:351-363. [PMID: 30698906 DOI: 10.1002/wer.1044] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/29/2018] [Accepted: 12/24/2018] [Indexed: 06/09/2023]
Abstract
Based on recent water quality data collected from 763 monitoring sections nationwide, this study examined the concentration of major pollutants in China's major rivers. A spatial autocorrelation analysis confirmed that river pollution was spatially uneven and clustered. While pollution of surface water was a nationwide concern, most serious water pollution happened in the Huai, Hai, Yellow, and Liao river Basins in Northern China. The results of the spatial regression analysis showed that GDP per capita, surface water stock, population, and economic structure were all significantly correlated with surface water pollution, with population having strongest impact, followed by level of economic development. By investigating the common characteristics shared by the "hotspot" cities where serious water pollution occurred, this study recommended a regional or basin approach to assessing water quality and controlling river pollution that cuts across jurisdiction boundaries. While China has made considerable progress in improving water productivity, there is still enormous potential in water conservation. It is also imperative to restructure local economy and develop water-efficient, less polluting industries and services. PRACTITIONER POINTS: River pollution in China was spatially uneven and clustered. Most serious water pollution happened in the Huai, Hai, Yellow, and Liao river basins in Northern China. GDP per capita, surface water stock, population, and economic structure correlated with surface water pollution, with population having strongest impact. A regional or basin approach was recommended to assess water quality and controlling river pollution across jurisdiction boundaries. It is also imperative to restructure local economy and develop water-efficient, less polluting industries and services.
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Affiliation(s)
- Enru Wang
- Department of Geography and Geographic Information Science, University of North Dakota, Grand Forks, North Dakota
| | - Qian Li
- China National Environmental Monitoring Center, Beijing, China
| | - Hao Hu
- Information Center, Ministry of Ecology and Environment, Beijing, China
| | - Fuli Peng
- China National Environmental Monitoring Center, Beijing, China
| | - Peng Zhang
- China National Environmental Monitoring Center, Beijing, China
| | - Jianjun Li
- China National Environmental Monitoring Center, Beijing, China
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Abstract
An exhaustive literature search supplemented by a critical examination of records made it possible to present an annotated checklist of tapeworms (Cestoda) that, as adults or larvae (metacestodes), parasitize freshwater, brackish water and marine fishes, i.e. cartilaginous and bony fishes, in South America. The current knowledge of their species diversity, host associations and geographical distribution is reviewed. Taxonomic problems are discussed based on a critical evaluation of the literature and information on DNA sequences of individual taxa is provided to facilitate future taxonomic and phylogenetic studies. As expected, the current knowledge is quite uneven regarding the number of taxa and host-associations reported from the principal river basins and marine ecoregions. These differences may not only reflect the actual cestode richness but may also be due to the research effort that has been devoted to unravelling the diversity of these endoparasitic helminths in individual countries. A total of 297 valid species, 61 taxa identified to the generic level, in addition to unidentified cestodes, were recorded from 401 species of fish hosts. Among the recognized cestode orders, 13 have been recorded in South America, with the Onchoproteocephalidea displaying the highest species richness, representing c. 50% of all species diversity. The majority of records include teleost fish hosts (79%) that harbour larval and adult stages of cestodes, whereas stingrays (Myliobatiformes) exhibit the highest proportion of records (39%) among the elasmobranch hosts. Fish cestodes are ubiquitous in South America, being mostly recorded from the Warm Temperate Southeastern Pacific (WTSP; 31%) for marine hosts and the Amazon River basin (45%) for freshwater ones. The following problems were detected during the compilation of literary data: (i) unreliability of many records; (ii) poor taxonomic resolution, i.e. identification made only to the genus or even family level; (iii) doubtful host identification; and (iv) the absence of voucher specimens that would enable us to verify identification. It is thus strongly recommended to always deposit representative specimens in any type of studies, including faunal surveys and ecological studies. An analysis of the proportion of three basic types of studies, i.e. surveys, taxonomic and ecological papers, has shown a considerable increase of ecological studies over the last decade.
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Affiliation(s)
- Philippe V. Alves
- Programa de Pós-Graduação em Biologia Animal, Universidade Federal Rural do Rio de Janeiro, BR 465, Km 7, 23851-970, Seropédica, Rio de Janeiro, Brazil
| | - Alain de Chambrier
- Natural History Museum of Geneva, CP 6434, CH - 1211 Geneva 6, Switzerland
| | - Tomáš Scholz
- Institute of Parasitology, Biology Centre of the Czech Academy of Sciences, Branišovská 31, 370 05 České Budějovice, Czech Republic
| | - José L. Luque
- Departamento de Parasitologia Animal, Universidade Federal Rural do Rio de Janeiro, CP 74.540, BR 465, Km 7, 23851-970, Seropédica, Rio de Janeiro, Brazil
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Malaj E, von der Ohe PC, Grote M, Kühne R, Mondy CP, Usseglio-Polatera P, Brack W, Schäfer RB. Organic chemicals jeopardize the health of freshwater ecosystems on the continental scale. Proc Natl Acad Sci U S A 2014; 111:9549-54. [PMID: 24979762 DOI: 10.1073/pnas.1321082111] [Citation(s) in RCA: 419] [Impact Index Per Article: 41.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Organic chemicals can contribute to local and regional losses of freshwater biodiversity and ecosystem services. However, their overall relevance regarding larger spatial scales remains unknown. Here, we present, to our knowledge, the first risk assessment of organic chemicals on the continental scale comprising 4,000 European monitoring sites. Organic chemicals were likely to exert acute lethal and chronic long-term effects on sensitive fish, invertebrate, or algae species in 14% and 42% of the sites, respectively. Of the 223 chemicals monitored, pesticides, tributyltin, polycyclic aromatic hydrocarbons, and brominated flame retardants were the major contributors to the chemical risk. Their presence was related to agricultural and urban areas in the upstream catchment. The risk of potential acute lethal and chronic long-term effects increased with the number of ecotoxicologically relevant chemicals analyzed at each site. As most monitoring programs considered in this study only included a subset of these chemicals, our assessment likely underestimates the actual risk. Increasing chemical risk was associated with deterioration in the quality status of fish and invertebrate communities. Our results clearly indicate that chemical pollution is a large-scale environmental problem and requires far-reaching, holistic mitigation measures to preserve and restore ecosystem health.
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