Shuxiang Feng , Mengxue Lyu , Xuetao Han , Chang Liu , Jun Qiu
{"title":"Weakly supervised bird-flock counting in wetlands based on multimodal optical image perception","authors":"Shuxiang Feng , Mengxue Lyu , Xuetao Han , Chang Liu , Jun Qiu","doi":"10.1016/j.wsee.2025.05.006","DOIUrl":"10.1016/j.wsee.2025.05.006","url":null,"abstract":"<div><div>As crucial bio-indicators for wetland ecosystem health assessment, wetland birds play a pivotal role in ecological monitoring and conservation. This study address three challenges in avian population monitoring using optical remote sensing imagery, including high cost of manual annotation, difficulty in extracting small target features in complex background, and insufficient adaptability of multi-scale target recognition. We propose a weakly supervised bird-flock counting method based on the optical image multimodal perception model integrating optical image features and visual semantic features without location annotation. Based on optical image feature enhancement, visual semantic features related to the counting task are extracted through visual cues (counting text prompt), and a learnable feature adapter is introduced to fuse optical image features with visual semantic features. Thus, an optical image multimodal perception model with residual connection mechanism and multi-scale information interaction module is constructed. The residual connection mechanism effectively alleviates the interference caused by posture changes and complex background, and the multi-scale information interaction module solves the problem of target scale change through cross-scale semantic propagation. We construct an optical images bird-flock dataset named Wetland-Bird-Count for the Yellow River Delta coastal wetlands. The experimental results show that the MAE and MSE of the proposed method are 45.2 and 54.2, which is much more accurate than other weakly supervised and unsupervised methods and close to the fully supervised counting method, which verifies that the weakly supervised cluster counting using optical image visual cues can improve the accuracy of bird flock counting under lightweight annotation. This study provides a reliable quantitative analysis tool for optical image ecological monitoring.</div></div>","PeriodicalId":101280,"journal":{"name":"Watershed Ecology and the Environment","volume":"7 ","pages":"Pages 249-257"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144147631","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":"Lake Babati ecosystem, Tanzania: biodiversity status, anthropogenic threats, and land use implications − a review","authors":"Jackson Henry Katonge, Leopody Gayo","doi":"10.1016/j.wsee.2025.06.002","DOIUrl":"10.1016/j.wsee.2025.06.002","url":null,"abstract":"<div><div>This is a systematic literature review exploring the effects of anthropogenic activities and land use changes on biodiversity and the ecological health of Lake Babati. A structured search using PRISMA (preferred reporting items for systematic reviews and <em>meta</em>-analyses) 2020 employed three major academic databases, namely Scopus, PubMed, and Web of Science. A key factor for choosing sources was their connection to Lake, along with being peer-reviewed, verified by institutions, providing real data on ecological or socio-economic impacts, and being written in English. Information was collected and analyzed by categorizing it into key drivers: changes in land use, pollution, and overfishing. Farming near the lake, cattle grazing and drinking, unsustainable brick-making, overgrazing, illegal fishing, inadequate waste management, and urban expansion have been reported. These practices have led to pollution, the spread of water hyacinth and sedges, nutrient loading, eutrophication, decreased dissolved oxygen, deforestation, soil erosion, flooding, and biodiversity loss-all of which endanger aquatic life. Between 1992 and 2022, land-use changes in Babati Town included increases in institutional land (797.2 ha), industrial land (64.7 ha), and agricultural land (691 ha), while forested areas (−705 ha), undeveloped land (−993 ha), and the lake surface (−173 ha) declined. Fish catch weight fell by 88 %, and daily catch rates declined by 90.8 %, with the most severe decline occurring between 1992 and 2002. Ecological changes have impacted the livelihoods of local communities that depended on fishing and agriculture. We recommend sustainable land use, better water quality monitoring, community conservation, local socio-economic resilience, and strong governance to support waste management and ecosystem restoration.</div></div>","PeriodicalId":101280,"journal":{"name":"Watershed Ecology and the Environment","volume":"7 ","pages":"Pages 299-309"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144329617","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":"Geospatial analysis of wetland dynamics and watershed monitoring in Pokhara Valley, Nepal","authors":"Krishna Prasad Sigdel , Narayan Prasad Ghimire , Binod Dawadi","doi":"10.1016/j.wsee.2025.06.001","DOIUrl":"10.1016/j.wsee.2025.06.001","url":null,"abstract":"<div><div>Lakes are essential components of ecosystems and serve as important indicators of climate change and human impact. This study employed historical remote sensing images and geospatial analysis to examine the dynamics of three significant wetlands (Phewa, Begnas, and Rupa lakes) in the Pokhara Valley of Nepal, which are designated as Ramsar sites. Changes in land use land cover (LULC) and soil erosion within the watersheds of these lakes were also monitored using Landsat images and soil erosion dataset, respectively. Additionally, climatic trends in the Pokhara Valley were analyzed using data from ground-based monitoring stations. The results highlight a notable 11.39 % decline in the surface area of Phewa Lake since 1989, while the surface areas of Begnas and Rupa have remained relatively stable. Changes in LULC show an increase in forest cover (+47 to 64 %) and decrease in croplands (−36 to 59 %) across all watersheds. Urbanization is most pronounced in the Phewa watershed, leading to increased pollution and shoreline encroachment. The decline in cropland may improve water quality by decreasing agricultural runoff. However, soil erosion is most severe in cropland areas, resulting in Phewa lake receiving the highest sediment influx among the three lakes. The lake regions have been experiencing changes in temperature (0.3 °C per decade) and rainfall (insignificant slight increase). Changes in these lakes are primarily driven by watershed dynamics and human activities. These results underscore the necessity for integrated watershed management and further in-depth investigation into the effects of climate change on these ecosystems for regional sustainability.</div></div>","PeriodicalId":101280,"journal":{"name":"Watershed Ecology and the Environment","volume":"7 ","pages":"Pages 287-298"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144270051","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":"Integrated watershed management for transforming dryland livelihoods: A climate-smart strategy for sustainable dryland agriculture in India","authors":"Ram A. Jat , Dinesh Jinger , Anita Kumawat , Saswat Kumar Kar , Indu Rawat , Suresh Kumar , Venkatesh Paramesh , Vijay Singh Meena , Rajesh Kaushal , Kuldeep Kumar , Hari Singh Meena , S.P. Wani , Rajbir Singh , M. Madhu","doi":"10.1016/j.wsee.2025.03.006","DOIUrl":"10.1016/j.wsee.2025.03.006","url":null,"abstract":"<div><div>In India, 51 % of the net sown area relies on rainfed agriculture, with 40 % of landholdings unirrigated and 13 % partially irrigated. Rainfed farming produces 40 % of food grains and supports two-thirds of the livestock population but faces challenges like land degradation, low productivity, and biodiversity loss due to erratic monsoons and extreme weather. Additionally, India’s water scarcity is worsening, with per capita availability expected to reduce from 802 cubic meters in 2022 to 677 cubic meters by 2050. Therefore, to meet the diverse food requirements of the burgeoning population of the country, conservation of natural resources, and improving the living standard of the resource-poor small and marginal farmers is imperative. Integrated watershed management (IWM) has emerged as a climate-smart strategy to address these challenges by enhancing soil and water conservation, agricultural productivity, and livelihoods in dryland systems. This study assesses the impact of IWM on dryland agriculture in India by analyzing various interventions such as <em>in-situ</em> and <em>ex-situ</em> water conservation, soil health management, and the use of modern technologies like remote sensing (RS) and geographic information systems (GIS). The results revealed that the adoption of IWM practices has led to significant improvements in soil moisture retention (20–25 %), soil organic carbon (22–32 %) agricultural productivity (30–45 %), and water use efficiency (15–25 %). Additionally, soil conservation techniques have reduced soil loss and runoff by 25–50 % and 50–60 %, respectively. Furthermore, the cultivation of lemon grass (<em>Cymbopogon flexuosus</em>), anjan grass (<em>Cenchrus ciliaris</em>), and bamboo (<em>Bambusa spp</em>.) could be the nature-based solutions for mitigating the impact of climate change due to their soil binding capacity and carbon sequestration potential. Moreover, this review indicates the potential of fast-growing trees (<em>Melia dubia</em>) under the agroforestry system in enhancing carbon sequestration by >100 % over sole cultivation. These results demonstrate that IWM is a sustainable solution to mitigate the adverse effects of climate change on dryland farming systems and improve rural livelihoods. Further, the study suggests that IWM practices helps to achieve sustainable development goals (SDGs) such as zero hunger, no poverty, and climate action etc., particularly in the face of climate change in water-scarce regions.</div></div>","PeriodicalId":101280,"journal":{"name":"Watershed Ecology and the Environment","volume":"7 ","pages":"Pages 159-177"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143816974","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}
Abreham Berta Aneseyee , Eyasu Elias , Teshome Sorromessa
{"title":"Identifying investment priority areas for soil conservation in the Winike watershed, upper Omo Gibe Basin of Ethiopia","authors":"Abreham Berta Aneseyee , Eyasu Elias , Teshome Sorromessa","doi":"10.1016/j.wsee.2025.05.008","DOIUrl":"10.1016/j.wsee.2025.05.008","url":null,"abstract":"<div><div>Sustainable land management is necessary for soil erosion control, vegetation recovery, and land restoration. This study was conducted to identify the soil erosion susceptibility areas in the Winike watershed, upper Omo Gibe Basin of Ethiopia. Analytic Hierarchy Process (AHP) and InVEST modeling combined with GIS were used to generate primary data on soil erosion severity. Land use types, slope, elevation, NDVI, rainfall, drainage density, and soil types were important variables analyzed for soil erosion rate determination. The result shows a significant variation in soil erosion vulnerability among sub-watersheds ranging from low to very high vulnerability. The watershed’s very highly vulnerable eastern part accounts for 108.23 km<sup>2</sup> (9.91 %) due to lacks vegetation cover, while the less vulnerable to the western part covers 179.66 km<sup>2</sup> (16.46 %). Analysis of the Geo-environmental parameters shows that rainfall (26 %) is the most significant influencing factor, followed by vegetation cover (i.e., land use types), explaining about 23 % of the erosion severity. Comparing soil erosion vulnerability using the AHP and InVEST SDR models was 14.01 % and 16 %, respectively, suggesting insignificant variation between the erosion vulnerability analysis models. The study emphasizes the usefulness of erosion vulnerability modeling for identifying investment priority areas based on soil erosion status for soil conservation intervention, offering a range of decision-making options for land management.</div></div>","PeriodicalId":101280,"journal":{"name":"Watershed Ecology and the Environment","volume":"7 ","pages":"Pages 327-337"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144670219","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}
Samira Kaddouri , Younes EL Kharim , Kamal Agharroud , Ali Bounab , Youssef El Miloudi , Reda Sahrane , Ahmed Taoufik Ouahabi
{"title":"Closed depressions and karst landforms in Rif Alpine Cordillera (Northern Morocco): The case of dolomitic Jbel Dersa Massif","authors":"Samira Kaddouri , Younes EL Kharim , Kamal Agharroud , Ali Bounab , Youssef El Miloudi , Reda Sahrane , Ahmed Taoufik Ouahabi","doi":"10.1016/j.wsee.2025.08.002","DOIUrl":"10.1016/j.wsee.2025.08.002","url":null,"abstract":"<div><div>The morphology, distribution, and structural control of karst closed depressions in a dolomitic karst landscape are the focus of this study. The study area is the Jbel Dersa Massif (JDM), part of the “Dorsale Calcaire” (DC) unit within the Rif Mountain range in northern Morocco. A combined analysis of geomorphological mapping and structural studies reveal that the Pliocene dismantling phase smoothed the crests of the original imbricate thrust fronts, characteristic feature of the DC unit’s structure. The flattening of the massif’s summit facilitated the dissolution of the rock surface. In addition to the massif’s ruiniform landscape, the observed karstic features include fracture lapies, closed karstic depressions at the summit, and travertine deposits along the structural contacts with the bordering non-karstic units. The 26 identified closed depressions are dissolution dolines. Morphometric analysis indicates that these dolines are primarily located in the endorheic and axial zones of the massif and are preferentially aligned along tectonic faults. Structural, geomorphological, and ERT profile analyses of two sinkholes confirm the structural control over their development and demonstrate that seepage occurs through the fractured material along fault planes. This study highlights the scientific, environmental, and water-supply significance of the JDM. Its karst depressions, serving as primary infiltration zones, play a crucial role in local hydrogeology, providing water sources for several settlements that rely on the massif’s springs.</div></div>","PeriodicalId":101280,"journal":{"name":"Watershed Ecology and the Environment","volume":"7 ","pages":"Pages 398-412"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144895242","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":"Hydrochemical characteristics, water quality and diatom assemblage in Dordi River, Nepal","authors":"Punam Phuyal , Shraddha Ranabhat , Sanjal Khatri , Nabin Lamichhane , Ramesh Raj Pant , Lal Bahadur Thapa , Ram Kailash Prasad Yadav","doi":"10.1016/j.wsee.2024.12.002","DOIUrl":"10.1016/j.wsee.2024.12.002","url":null,"abstract":"<div><div>Understanding hydrochemistry and diatom assemblage is important for assessing the health of aquatic ecosystems. This study has analyzed the water quality and diatom communities in the Dordi River, which is one of the major tributaries of the Marsyangdi River in Nepal. The primary research question being addressed in the study was what is the state of water quality parameters of Dordi River and how do they relate to the distribution and composition of diatoms. The water quality parameters of the river like temperature, pH, electric conductivity (EC), total dissolved solids (TDS), dissolved oxygen (DO), turbidity, and total alkalinity (TA) were measured <em>in-situ</em>, whereas concentrations of major ions (Ca<sup>2+</sup>, Mg<sup>2+</sup>, K<sup>+</sup>, Na<sup>+</sup>, NH<sub>4</sub><sup>+</sup>, HCO<sub>3</sub><sup>–</sup>, Cl<sup>–</sup>, SO<sub>4</sub><sup>2–</sup>, NO<sub>3</sub><sup>–</sup>, and PO<sub>4</sub><sup>3–</sup>), biological oxygen demand (BOD) and chemical oxygen demand (COD) were analyzed in the laboratory by collecting water samples from different parts of the river. Piper plot, Gibbs plot, Mixing plots, redundancy analysis, and principal component analysis were applied for evaluating the spatial variation of anions and cations in water. The results showed alkaline water following the pattern: Ca<sup>2+</sup>>Mg<sup>2+</sup>>Na<sup>+</sup>>K<sup>+</sup>>NH<sub>4</sub><sup>+</sup> for cation and HCO<sub>3</sub><sup>–</sup>>Cl<sup>–</sup>>SO<sub>4</sub><sup>2–</sup>>PO<sub>4</sub><sup>3–</sup>>NO<sub>3</sub><sup>–</sup> for anion with calcium-bicarbonate dominant lithology in the river. Overall, the results highlight that the drinking and irrigation water qualities of the river were found to be excellent. Additionally, among 75 diatom species observed in the samples, the Bacillariophyceae was the dominant class covering 92% of the species. The results indicated that the diatom species richness declined as elevation increased. The distribution of diatoms was also influenced by the land use types near the water sampling points, tributaries and the main river. Overall, the physico-chemical quality of water showed significant influence on diatom species composition. The findings of this study could be useful for understanding hydrochemistry and association of water quality and diatoms in river basins of the Himalaya.</div></div>","PeriodicalId":101280,"journal":{"name":"Watershed Ecology and the Environment","volume":"7 ","pages":"Pages 23-35"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143158894","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}
Zhiyi Li , Lingyan Dong , Liang Xu , Li Wang , Zhe Yuan
{"title":"Evaluation of vegetation-wetland-soil ecological water retention capacity in the source region of the Yangtze and Yellow rivers (SRYY)","authors":"Zhiyi Li , Lingyan Dong , Liang Xu , Li Wang , Zhe Yuan","doi":"10.1016/j.wsee.2025.05.005","DOIUrl":"10.1016/j.wsee.2025.05.005","url":null,"abstract":"<div><div>Ecological Regulation and Storage (ERS), a crucial natural regulatory mechanism in river basins, is vital in assessing watershed resilience and guiding water resource management. This study establishes a novel tripartite framework (vegetation-wetland-soil) to quantify ERS dynamics in the ecologically fragile Source Region of the Yangtze and Yellow Rivers (SRYY). Integrating multi-source hydrological data (2000–2020) with improved modeling approaches, including a modified SCS-CN method incorporating organic matter dynamics and NDVI-driven vegetation modules, we reveal three key insights: (1) Total ERS exhibited a distinct V-shaped trajectory during 2000–2020, underscoring the system’s resilience and recovery potential; (2) Wetland regulation dominated temporal fluctuations, followed by soil regulation, while canopy interception and litter retention functioned as stabilizing components; (3) Vegetation regulation displayed pronounced seasonal variability, with a robust positive correlation between canopy interception and litter retention (r = 0.94, p = 0.019), revealing synergistic hydrological coordination within the vegetation layer.</div></div>","PeriodicalId":101280,"journal":{"name":"Watershed Ecology and the Environment","volume":"7 ","pages":"Pages 260-273"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144184738","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":"Artificial intelligence applications in hydrological studies and ecological restoration of watersheds: A systematic review","authors":"Fernando Morante-Carballo , Mirka Arcentales-Rosado , Jhon Caicedo-Potosí , Paúl Carrión-Mero","doi":"10.1016/j.wsee.2025.05.004","DOIUrl":"10.1016/j.wsee.2025.05.004","url":null,"abstract":"<div><div>Water resources management is fundamental to the sustainability of river basins. Water quality is affected by pollution caused by human activities. In this context, the restoration of degraded watersheds helps soil recovery, sustainable water management, reforestation, biodiversity conservation and mitigation of human impacts. Artificial intelligence (AI) innovates data management and analysis processes by optimising decision-making and data analysis in hydrological studies and ecological restoration. This research aims to analyse scientific information related to the integration of AI in studies on hydrogeology and ecological restoration of watersheds by analysing scientific databases for knowledge of the intellectual structure, lines and trends of research. The methodology includes three phases: i) search criteria and data processing (Scopus-Web of Science); ii) analysis of the intellectual and conceptual structure; and iii) application of the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) method. The results indicate that there is a total of 171 records, with a 4.49% growth in scientific production in the last four years, focusing on artificial neural networks (10.53%), artificial intelligence (3.51%), genetic algorithms (1.17%) and machine learning (1.17%). This increase is due to the climatic variation generated in recent years, driven by anthropogenic pressures, especially in the agricultural sector due to the high demand for fertiliser and pesticide pollution. This problem has prompted the search for more far-reaching environmental management technologies, making it a potential niche for study. China (72.51%) and the United States (25.73%) are the most outstanding contributors to production in this area. On the other hand, there is less research in this area in developing countries such as South Africa (2.92%), Colombia (1.17%), and Argentina (0.58%), among others. This analysis identifies opportunities and challenges in applying AI for water resource optimisation and water quality prediction, providing an innovative conceptual framework for sustainable watershed management.</div></div>","PeriodicalId":101280,"journal":{"name":"Watershed Ecology and the Environment","volume":"7 ","pages":"Pages 230-248"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144105700","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":"Recent research trends in mangrove management systems (2014–2023) and predictions of future research; A bibliometric analysis","authors":"Muh Ainun Beddu , Rijal Idrus , Farid Samawi , Aidil Zulhaq Paradiman , Islamuddin Jafar","doi":"10.1016/j.wsee.2025.04.003","DOIUrl":"10.1016/j.wsee.2025.04.003","url":null,"abstract":"<div><div>This review of the scientific literature on mangrove management systems using bibliometric methods aimed to identify research trends, key topics, and collaboration between researchers. Data were collected from a one-time search of the Scopus database over the last ten-year period (2014– 2023). Bibliometric analysis was conducted using Microsoft Excel, OpenRefine, RStudio, Tableau, and VOSviewer to visualize keyword networks, publication trends, and research collaboration. The study showed a significant increase in publications related to mangrove management systems in the last decade. The most frequently discussed topics included global analysis, restoration, climate mitigation, ecosystem services, and blue carbon. The collaboration network showed extensive international cooperation, especially between researchers from Australia and Southeast Asia. The analysis revealed gaps in the coverage of key research areas in mangrove management systems, particularly in addressing long-term sustainability and effective stakeholder collaboration, such as the need for a multidisciplinary and collaborative approach involving various stakeholders, including local communities, governments, scientists, and sustainable management approaches.</div></div>","PeriodicalId":101280,"journal":{"name":"Watershed Ecology and the Environment","volume":"7 ","pages":"Pages 187-198"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143868743","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}