Watershed Ecology and the Environment最新文献

{"title":"Wetland bird utilisation of ephemerally flooded rice paddies in late winter snowmelt season in central Japan","authors":"Masumi Hisano ,&nbsp;Shota Deguchi ,&nbsp;Keinosuke Sannoh ,&nbsp;Ken Motomura ,&nbsp;Da-Li Lin","doi":"10.1016/j.wsee.2025.04.002","DOIUrl":"10.1016/j.wsee.2025.04.002","url":null,"abstract":"<div><div>This study highlights the importance of rice paddies in snow-rich regions of central Japan as habitat for wetland bird species during snow-melting late winter season. During the study period, we recorded seven wetland species, including waders, egrets, and waterfowls. The abundance and richness of these birds were not significantly associated with the patch size of rice paddies. However, bird abundance presented a marginally positive association with the coverage of open water bodies within the landscape, while species richness showed a marginal relationship with the distance to the nearest water body. Our findings suggest that snowmelt-created wetlands may provide functions as critical stopover sites for migratory birds along the East Asian-Australian Flyway, and that enhancing water features in agricultural landscapes may yield greater conservation benefits than simply modifying the patch size of agricultural wetlands.</div></div>","PeriodicalId":101280,"journal":{"name":"Watershed Ecology and the Environment","volume":"7 ","pages":"Pages 178-186"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143865135","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Integrating artificial intelligence for sustainable waste management: Insights from machine learning and deep learning","authors":"Son V.T. Dao,&nbsp;Tuan M. Le,&nbsp;Hieu M. Tran,&nbsp;Hung V. Pham,&nbsp;Minh T. Vu,&nbsp;Tuan Chu","doi":"10.1016/j.wsee.2025.07.001","DOIUrl":"10.1016/j.wsee.2025.07.001","url":null,"abstract":"<div><div>As global waste production grows, sustainable waste management (WM) has become an issue for modern societies. This paper explores the integration of Artificial Intelligence (AI), particularly Machine Learning (ML) and Deep Learning (DL), to improve waste management (WM) systems by enhancing automation, classification accuracy, operational efficiency, and real-time decision-making. Current trends and potential future directions are identified with bibliometric and scientometric analysis, which assess methodologies and data in the field. By automating processes such as waste classification, sorting, and transportation, AI-driven models have the potential to optimize operational efficiency and reduce environmental impact. A comprehensive review of recent AI research in WM is presented, with a focus on their effectiveness, scalability, and limitations. Moreover, in the proposed framework, the data augmentation approach has been utilized to improve the model’s performance by increasing the amount of samples. Furthermore, the MobileNetV3 DL model is employed for feature extraction. Besides, the<!--> <!-->feature selection method − Harris Hawk Optimization (HHO) is also utilized to choose the best subset of features and reduce the irrelevant features. Then these selected features are fed into Machine Learning algorithms such as Decision Tree (DT), Logistic Regression (LR), and Random Forest (RF). In summary, this review highlights key case studies and research insights, offering a roadmap for future developments in AI-driven WM solutions.</div></div>","PeriodicalId":101280,"journal":{"name":"Watershed Ecology and the Environment","volume":"7 ","pages":"Pages 353-382"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144702707","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Five-year microbial and chemical assessment of the Blue Marsh Watershed in Reading, Pennsylvania","authors":"Jill M. Felker,&nbsp;Zachary T. Weagly,&nbsp;Tami H. Mysliwiec","doi":"10.1016/j.wsee.2025.03.003","DOIUrl":"10.1016/j.wsee.2025.03.003","url":null,"abstract":"<div><div>Recreational, agricultural, and industrial utilizations of areas surrounding waterways provide opportunities for collecting chemical and pollutant runoff, which influence the chemical makeup of the waterways and connecting watersheds. Human activities within watersheds can result in conditions that enable pathogenic microorganisms to thrive and allow unique microbial communities to emerge. The study area consisted of three locations at the Blue.</div><div>Marsh Watershed in Reading, Pennsylvania, with different surrounding land use and anthropogenic activities. The study areas were monitored monthly during the five-year project to assess seasonal variations in chemical levels and microbial count changes.</div><div>Chemical testing included inorganic nitrates, inorganic phosphates, and dissolved oxygen. Additional microbial testing included monthly counts for <em>Escherichia coli</em> and <em>Enterococcus</em> spp. to assess potential pathogenic microbial populations. On most occasions, chemical analyses found nitrate and phosphate concentrations above natural environmental levels.</div><div>During the five years, <em>Escherichia coli</em> and <em>Enterococcus</em> spp. concentrations were above the EPA recreational water recommendations 52% and 83% of the time, respectively. These results suggest that recreational, agricultural, and industrial utilization of surrounding waterways may influence chemical and microbial characteristics, including pathogenic microorganisms in the Blue Marsh Watershed.</div></div>","PeriodicalId":101280,"journal":{"name":"Watershed Ecology and the Environment","volume":"7 ","pages":"Pages 119-130"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143768638","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Flash flood susceptibility assessment using geospatial technology-based morphometric analysis in Waya watershed, Volta River basin, Ghana","authors":"Bismark Mensah-Brako ,&nbsp;Francis Ampiaw ,&nbsp;Richard Kotei ,&nbsp;Philip Kyaku","doi":"10.1016/j.wsee.2025.02.002","DOIUrl":"10.1016/j.wsee.2025.02.002","url":null,"abstract":"<div><div>The present study aims to assess the flash flood susceptibility of Waya watershed in the Lower Volta River Basin, Volta region, Ghana using geospatial technology-based morphometric analysis. Morphometric characteristics were determined using Advanced Spaceborne Thermal Emission and Reflection Radiometer DEM (30 m) in a GIS 10.7 environment. The morphometric ranking method was applied to prioritize sub-watersheds' susceptibility to flash floods. The results revealed that the watershed is a seventh-order drainage system with a dendritic drainage pattern. The mean bifurcation ratio (4.48), and form factor (0.20) are indicative of higher levels of surface runoff and high flash flood events. The stream frequency (3.27–4.14 km²), drainage density (2.24–2.51 km/km²), and infiltration number (8.05–10.22 km³) showed higher runoff and flash floods. Watershed relief (553 m), relative relief (194.4), ruggedness number (1.36), and mean slope (10.31 %) are indicative of flash flood susceptibility. The results further showed that seven sub-watersheds (SW1, SW5, WS6, SW8, SW9, SW10 and SW12) constituted 63.00 % of watershed ranked as high to very high susceptibility to flash flood, while two sub-watersheds (SW 2 and WS 7) 12.20 % of the watershed classified under moderate flood susceptibility zone for which specific sub-watersheds flood risk reduction strategies are required to mitigate the hazard of flash flood. Four sub-watersheds (SW3, SW4, SW11, and SW13) represented 24.80 % of the watershed ranked as low susceptibility to flash floods. The study recommends the construction of retention bunds and embankments in the inland valleys and wetlands as sustainable soil and water conservation measures to mitigate flash floods and promote sustainable inland valleys and wetlands rice production.</div></div>","PeriodicalId":101280,"journal":{"name":"Watershed Ecology and the Environment","volume":"7 ","pages":"Pages 58-73"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143488650","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Estimation of heavy metal contamination of sediments in the Ouaka River watershed in the Central African Republic","authors":"André Jules Ouambeti-Wickon ,&nbsp;Gabriel Ngueutchoua ,&nbsp;Doria Grace Takenne ,&nbsp;Prince Emilien Danguene ,&nbsp;Armand Sylvain Ludovic Wouatong","doi":"10.1016/j.wsee.2025.03.002","DOIUrl":"10.1016/j.wsee.2025.03.002","url":null,"abstract":"<div><div>The study, based on heavy metals such as cadmium (Cd), chromium (Cr), cobalt (Co), copper (Cu), nickel (Ni), lead (Pb), vanadium (V), zinc (Zn) and iron (Fe) in the sediments of the Ouaka river watershed, aimed to determine the concentration profiles of the various contaminated zones and to assess the sources of pollution of these sediments, which are of both human and natural origin. These profiles were established against a backdrop of heavy industrial activity (discharges from the Ngakobo sugar refinery and the Bambari cotton gear factory), agricultural activity (with the use of chemical fertilizers and pesticides) and mining activity (artisanal gold mining), all of which may be responsible for heavy metal contamination of the sediments in this watershed. A total of 34 sediment samples were collected and analyzed by inductively coupled plasma mass spectrometry. Results for heavy metal concentrations (mg/kg) ranged from 0.006 to 0.019 for Cd; 1.7 to 7.11 for Co; 11.5 to 30.8 for Cr; 2.3 to 7.4 for Cu; 2.7 to 13.4 Ni; 1.36 to 25.99 for Pb; 11 to 18 for V; 7.9 to 20 for Zn and 11356.2 to 17875.5 for Fe. These values are significantly lower in the sediments studied than the reference values used in the upper continental crust. To assess the degree of contamination in these sediments, the enrichment factor, contamination factor, geo-accumulation index and pollutant load index were calculated. The result is that, with the exception of Pb in sample B15, which is moderately enriched, the other heavy metals are only slightly enriched, and this is confirmed by the geo-accumulation index and pollutant load index, which show the absence of contamination and pollution in this catchment. The results of this work will enable the Central African Republic to control the intensive discharge of industrial and mining residues, and also to limit the use of chemical fertilizers in agriculture in favor of natural fertilizers.</div></div>","PeriodicalId":101280,"journal":{"name":"Watershed Ecology and the Environment","volume":"7 ","pages":"Pages 84-96"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143631877","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Eutrophication weakens interspecific relationships across trophic levels in an urban wetland","authors":"Yingshan Wei ,&nbsp;He-Bo Peng ,&nbsp;Linhui Qi ,&nbsp;Yanpeng Cai ,&nbsp;Qingyang Guo ,&nbsp;Zhenchang Zhu","doi":"10.1016/j.wsee.2025.03.004","DOIUrl":"10.1016/j.wsee.2025.03.004","url":null,"abstract":"<div><div>Eutrophication poses a major threat to the stability of global aquatic ecosystems, especially in urban wetlands highly influenced by human activities. It frequently alters species composition, which in turn affects the overall structure of ecosystems. However, how eutrophication impacts inter-species interactions across different trophic levels remains poorly understood. This study examines communities at varying nutrient status within the same urban wetland, including phytoplankton, zooplankton, and fish, while considering environmental factors such as dissolved oxygen, manganese (Mn), water depth, and the Trophic State Index (TSI). We assess how eutrophication influences species interactions across multiple trophic levels. Our results show that intra-trophic correlations were primarily driven by water depth, manganese, whereas inter-trophic correlations were predominantly governed by TSI. Specifically, inter-group correlations between different trophic levels decreased with raising TSI, while inter-species relationships within phytoplankton strengthened with increasing TSI. These findings provide crucial insights into the mechanisms underlying species coexistence in urban wetlands and highlight the need for targeted management strategies to maintain ecological stability in the face of eutrophication. Future research should explore temporal and spatial dynamics to better understand the complex responses of wetland ecosystems to nutrient fluctuations.</div></div>","PeriodicalId":101280,"journal":{"name":"Watershed Ecology and the Environment","volume":"7 ","pages":"Pages 97-103"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143643833","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comparing the performance variability of different eDNA primers in fish monitoring","authors":"Yan Xu ,&nbsp;Xumeng Huo ,&nbsp;Xinyue Chen ,&nbsp;Zeyang Wang ,&nbsp;Mingliang Zhou ,&nbsp;Jie Zhu ,&nbsp;Rui Yan ,&nbsp;Yanpeng Cai","doi":"10.1016/j.wsee.2024.08.003","DOIUrl":"10.1016/j.wsee.2024.08.003","url":null,"abstract":"<div><p>Environmental DNA technology develops rapidly in the field of biodiversity detection. Selecting appropriate primers may be one of the key questions. However, there is currently a lack of systematic studies on differences in primer detection efficiencies. This research investigates the efficiency of six universal primers (12S, 16S, 18S, MiFish, Cytb, and COI) in detecting fish species across diverse aquatic ecosystems using an environmental DNA approach. The research spans five study areas, representing marine, river, wetland, lake, and reservoir ecosystems. Illumina MiSeq sequencing and bioinformatics tools were employed for primer performance evaluation. Results indicate that MiFish consistently outperforms other primers, detecting the highest number of fish species across all ecosystems and exhibiting superior taxonomic coverage. Furthermore, marine ecosystems consistently show higher detection numbers across all primers. The absence of commonly identified species detected by all primers emphasizes the necessity of using multiple primers for a comprehensive assessment. This study provides valuable insights into the strengths and limitations of universal primers, highlighting the importance of primer selection for accurate eDNA-based fish monitoring. The findings contribute to the scientific basis for the comprehensive management of aquatic ecosystems, assisting researchers and ecosystem managers in screening suitable fish universal primers for eDNA methods. The study also calls for further research into factors influencing primer performance and encourages the refinement of primers to enhance biodiversity monitoring precision in various ecosystems.</p></div>","PeriodicalId":101280,"journal":{"name":"Watershed Ecology and the Environment","volume":"6 ","pages":"Pages 165-175"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2589471424000135/pdfft?md5=a8fbb323cf57517c6d1b8d4998599e24&pid=1-s2.0-S2589471424000135-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142136892","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Source, fate, toxicity, and remediation of micro-plastic in wetlands: A critical review","authors":"Naveen Chand ,&nbsp;Surindra Suthar","doi":"10.1016/j.wsee.2024.02.001","DOIUrl":"https://doi.org/10.1016/j.wsee.2024.02.001","url":null,"abstract":"<div><p>Microplastics (MPs) are recognized as emerging contaminants due to their small size, hazardous nature, and widespread abundance in the environmental compartments. As the largest sink of MPs, oceans are currently the main focus. However, the question about MP particles applies to all environmental niches, including natural wetlands. Unfortunately, natural wetlands have been not explored much in comparison to the ocean and the terrestrial ecosystem for MP occurrence and its toxicity. Meanwhile, these natural wetlands offer important ecological services and have a high biodiversity, both of which could be compromised by the rising levels of MP contamination in such systems. However, due to limited research in natural wetlands possible ecological repercussions are still lacking. Even there are uncertainties about MPs in the wetlands regarding their distribution and fate. Since these wetlands have the potential to trap plastics and could act as a sink for MPs, it becomes essential to investigate the natural wetland for MP contamination and its possible toxicological risks in wetlands. This review summarised the source, potential sink and toxicological consequences of MPs in natural wetlands. The review also illustrated the advancements in the technologies aiming to remove plastic debris from the natural environment.</p></div>","PeriodicalId":101280,"journal":{"name":"Watershed Ecology and the Environment","volume":"6 ","pages":"Pages 41-53"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2589471424000019/pdfft?md5=a00993a0509151314b01c1979a67d5a7&pid=1-s2.0-S2589471424000019-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140051524","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"From data to decisions: Leveraging ML for improved river discharge forecasting in Bangladesh","authors":"Md. Abu Saleh,&nbsp;H.M. Rasel,&nbsp;Briti Ray","doi":"10.1016/j.wsee.2024.09.004","DOIUrl":"10.1016/j.wsee.2024.09.004","url":null,"abstract":"<div><div>River discharge forecasting stands at the forefront of environmental management, contributing significantly to sustainable development through its impact on flood prevention, water resource management, ecological conservation, and energy production. This study forecasted the annual river discharge forecasting in the Nilphamari district of Bangladesh, employing random forest (RF), support vector machine (SVM), and gradient boosting machine (GBM) techniques. Historical river discharge data spanning from 1990 to 2020, obtained from eight surface water stations, forms the basis of the analysis. The forecast was performed from 2021 to 2030. 11 statistical parameters were considered for performance evaluation. Additionally, four evaluation plots, comprising a quantile–quantile plot (QQ plot), a residual plot, a Bland Altman plot, and Theil’s U statistic, were employed for a detailed understanding of model accuracy. Results demonstrate that the random forest regression technique exhibited superior accuracy compared to SVM and GBM in training and testing stages. Notably, the coefficient of determination reached 97 % during the testing phase, emphasizing the robustness of this model. While Mean Absolute Error is lower (1085.071 cubic meter per second), in training, the model captures relative changes (Mean Absolute Percentage Error = 0.154) better during prediction. Willmott’s Index in training (0.77) and testing (0.55) suggest the model memorizes training data well and outperforms the other models in testing stage. The findings underscore the efficacy of RF regression as a superior alternative for short-term discharge forecasting, offering valuable insights for integrated water resources management, particularly in flood warning systems and the expansion of irrigation initiatives.</div></div>","PeriodicalId":101280,"journal":{"name":"Watershed Ecology and the Environment","volume":"6 ","pages":"Pages 209-226"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142426881","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Human security and mobility in the context of climate change in Africa","authors":"Daniel Chigudu","doi":"10.1016/j.wsee.2024.10.004","DOIUrl":"10.1016/j.wsee.2024.10.004","url":null,"abstract":"<div><div>Due to climate change, the decline in the African continent’s rich ecological biodiversity threatens increased food insecurity, mobility, millions of livelihoods, land conflicts, and zoonotic disease transmission that could lead to more pandemics. This climate change comes with human security and political and economic concerns. As it stands, attempts to stop all greenhouse gas emissions cannot relieve the pain inflicted by climate change. Accordingly, there is a need to direct attention to the inescapable consequences of climate change. The estimate that by 2050, about 200 million climate migrants will have been forcibly displaced worldwide, of which 86 million will be in Africa, is a cause for concern. By disconnecting security and migration, academics and peace and security practitioners must reframe their understanding of migration as a human security threat. Based on a systematic literature review, this study explores human security and mobility in Africa’s climate change context. It is argued that challenges from climate change, human activities and population pressure on land impacting land degradation are critical factors in increasing the risk of mobility and human security in Africa. These risks require anticipatory steps to overcome them. Hence, this study contributes to the risk assessment of mobility and human security by highlighting some indicators and distinguishing the incremental impacts of climate change while investigating opportunities to design adaptation actions for sustaining security and mobility. The study suggests that the human security approach should be integrated into the migration and climate migration policy frameworks, including efforts to promote a people-centred and more holistic approach to address human security. Even if climate migration presents a security issue, it does not necessarily threaten national security alone but human security. Options considering the complex and multifaceted nature of challenges to peoples’ well-being because of climate change and its related disasters across Africa are explored.</div></div>","PeriodicalId":101280,"journal":{"name":"Watershed Ecology and the Environment","volume":"6 ","pages":"Pages 242-251"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142553948","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}