Watershed Ecology and the Environment最新文献

英文中文

GIS and remote sensing based spatial analysis of dominant RUSLE factors and the corresponding influence on soil loss in Werie Agricultural Landscape: An agro-ecological approach 基于GIS和遥感的渭河流域农业景观RUSLE优势因子及其对土壤流失的影响

Watershed Ecology and the Environment

Pub Date : 2026-01-01 DOI: 10.1016/j.wsee.2026.01.001

Abrha Asefa , Mitiku Haile , Melaku Berhe , Amanuel Zenebe

This study quantified the dominant soil erosion factors across in Werie Watershed. The study employed the Revised Universal Soil Loss Equation and Geographic Information System framework, and individual RUSLE factor were normalized. Zonal statistics were then applied to quantify area dominance across Agro-Ecological Zones. Finding revealed that mean soil loss was highest in Kolla at 22.83ton/ha/year, significantly exceeding Weina Dega (8.77 ton/ha/year) and Dega (7.64 ton/ha/year). Spatially, Rainfall Erosivity (R-factor) dominated the largest areas, covering 228.96 km² in Kolla (57.89%) and 1874.61 km² in Weina Dega (40.50%). Cover-Management (C-factor) was also dominating 161.77 km² in Kolla (40.90%) and 1410.73 km² in Weina Dega (30.48%). In Dega, Soil Erodibility (K-factor) was most prominent, dominating 143.30 km² (41.45%), while R-factor dominated 128.59 km² (37.19%). The Slope Length-Gradient (LS-factor) exhibited minimal areal dominance, covering 0.005 km² across all AEZs. However, the P-factor was not identified as a dominant factor in the watershed. Average normalized R-factor values were consistently high across all AEZs, ranging from 0.52 to 0.64. In contrast, K-factor averages remained very low ranging from 0.001 to 0.003. This study quantified the varying influences of erosion factors across AEZs and provided data-driven insights for designing tailored soil conservation strategies in Werie Watershed.

本研究量化了Werie流域的主要土壤侵蚀因子。研究采用修订的通用水土流失方程和地理信息系统框架，并对个别RUSLE因子进行归一化处理。然后应用区域统计量化农业生态区的区域优势。结果表明，库拉地区平均土壤流失量最高，为22.83吨/公顷/年，显著高于魏纳德加（8.77吨/公顷/年）和德加（7.64吨/公顷/年）。从空间上看，降雨侵蚀力（r因子）占主导地位最大，分别为科拉228.96 km2（57.89%）和魏纳德加1874.61 km2（40.50%）。覆盖管理（c因子）在科拉161.77 km2（40.90%）和韦纳德加1410.73 km2（30.48%）中占主导地位。德加省土壤可蚀性（k因子）最显著，占143.30 km2 (41.45%)， r因子占128.59 km2（37.19%）。坡长梯度因子（LS-factor）的面积优势最小，覆盖面积为0.005 km2。然而，p因子并未被确定为该流域的主导因子。所有aez的平均归一化r因子值一直很高，范围在0.52至0.64之间。相比之下，k因子平均值仍然非常低，范围从0.001到0.003。本研究量化了各经济特区侵蚀因子的不同影响，为Werie流域土壤保持策略的设计提供了数据驱动的见解。

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Watershed Ecology and the Environment

Pub Date : 2026-01-01

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Watershed Ecology and the Environment

Pub Date : 2026-01-01

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Watershed Ecology and the Environment

Pub Date : 2026-01-01

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Watershed Ecology and the Environment

Pub Date : 2026-01-01

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Watershed Ecology and the Environment

Pub Date : 2026-01-01

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Soil microbial composition and vertical distribution patterns along the Liangshui River in Beijing, China 北京凉水河流域土壤微生物组成及垂直分布格局

Watershed Ecology and the Environment

Pub Date : 2025-12-19 DOI: 10.1016/j.wsee.2025.11.002

Yimeng Li, Ting Li, Guijun Liu, Lei Wang, Xin Tong, Manrong Huang

This study investigated the composition and vertical distribution of soil microbial communities in the vicinity of Liangshui River in Beijing. Soil samples (n = 18) were collected from depths of 0.1 m − 55 m, spanning three geological layers including artificial accumulation layer, recent sedimentary layer, and Quaternary sedimentary layer. These samples were analyzed using high-throughput sequencing to characterize bacterial and archaeal community composition. Results revealed that soil bacterial diversity and richness progressively decreased with increasing soil depth. Beta diversity analysis revealed that soil bacterial communities exhibited significant differences in composition across all three geological layers, whereas significant differences in soil archaeal communities were observed only between the artificial accumulation layer and the other two layers. At the taxonomic level, the dominant bacterial phyla in the soil were primarily Proteobacteria, Firmicutes, and Actinobacteria, with Bacillus being the predominant genus, while Crenarchaeota and Thermoplasmatota dominated the archaeal communities. PICRUSt2 functional prediction revealed that the soil bacterial communities were predominantly associated with carbohydrate metabolism, amino acid metabolism, and energy metabolism, among other functional pathways. Correlation network shows that Povalibacter, Pedomicrobium, and Bauldia may be keystone taxa in Beijing’s urban soils. This study not only elucidates the vertical distribution patterns of soil microbial communities along the Liangshui River, but also provides critical references for soil utilization and amendment strategies in Beijing.

对北京凉水河流域土壤微生物群落组成及垂直分布进行了研究。土壤样品（n = 18）采集深度为0.1 m ~ 55 m，跨越人工堆积层、近代沉积层和第四纪沉积层3个地质层。利用高通量测序对这些样品进行分析，以表征细菌和古细菌的群落组成。结果表明，随着土壤深度的增加，土壤细菌多样性和丰富度逐渐降低。β多样性分析表明，3个地质层土壤细菌群落组成存在显著差异，而土壤古细菌群落仅在人工堆积层与其他2个地质层之间存在显著差异。在分类学水平上，土壤中优势菌门主要为变形菌门、厚壁菌门和放线菌门，其中芽孢杆菌属为优势属，绿原菌门和热原菌门为优势古菌群。PICRUSt2功能预测表明，土壤细菌群落主要与碳水化合物代谢、氨基酸代谢和能量代谢等功能途径相关。相关性网络表明，Povalibacter、Pedomicrobium和Bauldia可能是北京城市土壤的关键分类群。该研究不仅阐明了凉水河流域土壤微生物群落的垂直分布格局，而且为北京市土壤资源利用和改良策略提供了重要参考。

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Sub-diurnal (daytime) and vertical profile variations of the physicochemical characteristics of Lake Rukwa: Implications for ecological state 鲁克瓦湖理化特征的亚日（白天）和垂直剖面变化：对生态状态的影响

Watershed Ecology and the Environment

Pub Date : 2025-12-14 DOI: 10.1016/j.wsee.2025.12.001

Azaria Stephano Lameck , Brian Rotich , Phenson Nsima Justine , Melkizedeck Tsere

This study investigates the daytime and vertical variations in the physicochemical properties of Lake Rukwa and their implications for the lake’s ecological status. In this study, field measurements included pH, temperature, dissolved oxygen (DO), oxygen saturation (O2 (%)), electrical conductivity (EC), salinity, total dissolved solids (TDS), and turbidity. Additionally, TP and Chlorophyll-a (Chl-a) concentrations were analyzed. The trophic status of the lake was evaluated using the Carlson Trophic State Index (CTSI). The study revealed that the lake had low water clarity (0.42 ft), indicating high suspended particle loads that limit light penetration, reduce photosynthesis, and lower DO concentrations. Chl-a significantly declined sharply with depth (P < 0.05), reflecting higher surface photosynthetic activity. Both pH and DO exhibit notable variations with depth and time of day (P < 0.05), while O2 (%) also showed a strong vertical variation. CTSI values ranged from 82.49 to 89.9, classifying the lake as hypereutrophic and highlighting severe ecological stress. These conditions are likely driven by nutrient enrichment from agricultural runoff and land-use change within the lake basin. To mitigate further degradation, management interventions, continuous monitoring, and stricter regulation of anthropogenic inputs are urgently required.

本研究探讨了鲁克瓦湖理化性质的日间和垂直变化及其对湖泊生态状况的影响。在本研究中，现场测量包括pH、温度、溶解氧（DO）、氧饱和度（O2(%)）、电导率（EC）、盐度、总溶解固体（TDS）和浊度。此外，还分析了TP和叶绿素a （Chl-a）浓度。采用卡尔森营养状态指数（Carlson trophic State Index， CTSI）对湖泊的营养状况进行了评价。研究表明，该湖的水清澈度较低（0.42英尺），表明高悬浮颗粒负荷限制了光的穿透，减少了光合作用，降低了DO浓度。Chl-a随深度急剧下降（P < 0.05），反映出较高的表面光合活性。pH和DO随深度和时间的变化显著（P < 0.05）， O2（%）也表现出较强的垂直变化。CTSI值在82.49 ~ 89.9之间，属于富营养化湖泊，生态压力严重。这些情况可能是由湖盆内农业径流和土地利用变化带来的养分富集所驱动的。为了减轻进一步退化，迫切需要管理干预、持续监测和更严格地管制人为投入。

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Recent trends and future directions in artificial intelligence (AI) applications for coastal ecosystems Conservation: Insights from a bibliometric analysis 人工智能应用于沿海生态系统保护的最新趋势和未来方向：来自文献计量学分析的见解

Watershed Ecology and the Environment

Pub Date : 2025-12-05 DOI: 10.1016/j.wsee.2025.11.004

Sylvester T. Cortes

Coastal ecosystems, such as mangroves, seagrass beds, and coral reefs, provide essential ecological, economic, and social services. However, their capacity to deliver these services is diminishing due to increasing ecosystem disturbances, resource exploitation, and the impacts of climate change. In response, the integration of artificial intelligence (AI) tools into conservation efforts has led to a surge in scholarly publications, highlighting the need for a bibliometric analysis to systematically examine emerging trends and identify future directions in this rapidly evolving and interdisciplinary field. Bibliometric data were sourced from the Scopus database, covering a ten-year period from 2015 to June 2025. The analysis was conducted using Bibliometrix and VOSviewer, complemented by OpenRefine, Microsoft Excel, RStudio, and OriginPro for data cleaning and visualization. Results revealed an annual publication growth rate of 6.61% in the field. The institutions from China and the United States are at the forefront of research outputs and international collaborations, indicating their strong investment and leadership in the application of AI to coastal ecosystem conservation. Keyword co-occurrence analysis identified thematic clusters around AI tools such as remote sensing, machine learning, and deep learning, highlighting a transition from traditional environmental sensing toward real-time monitoring and predictive modeling. There is also a growing presence of multiple countries based on the keyword co-occurrence networks. It indicates increasing global participation, collaboration, and interest in applying AI to ecosystem conservation. Collectively, these findings point to a maturing research landscape with a promising trajectory toward the development of globally adaptive conservation strategies driven by artificial intelligence.

沿海生态系统，如红树林、海草床和珊瑚礁，提供必要的生态、经济和社会服务。然而，由于生态系统干扰、资源开发和气候变化的影响日益严重，它们提供这些服务的能力正在减弱。作为回应，人工智能（AI）工具与保护工作的整合导致了学术出版物的激增，突出了对文献计量分析的需求，以系统地检查新兴趋势，并确定这个快速发展的跨学科领域的未来方向。文献计量数据来源于Scopus数据库，时间跨度为2015年至2025年6月。使用Bibliometrix和VOSviewer进行分析，并辅以OpenRefine、Microsoft Excel、RStudio和OriginPro进行数据清理和可视化。结果显示，该领域的年发表增长率为6.61%。中美两国机构在研究成果和国际合作方面走在前列，表明两国在人工智能应用于沿海生态系统保护方面的强大投入和领导作用。关键词共现分析确定了围绕人工智能工具（如遥感、机器学习和深度学习）的主题集群，突出了从传统环境感知向实时监测和预测建模的转变。基于关键词共现网络的多个国家也越来越多。这表明全球在将人工智能应用于生态系统保护方面的参与、合作和兴趣日益增加。总的来说，这些发现表明了一个成熟的研究领域，在人工智能驱动下，全球适应性保护策略的发展前景广阔。

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引用次数: 0

A bibliometric and systematic assessment of land use/cover change research on freshwater catchments: Trends from the past decade (2014–2024) 淡水流域土地利用/覆被变化研究的文献计量与系统评价：近十年趋势（2014-2024）

Watershed Ecology and the Environment

Pub Date : 2025-12-02 DOI: 10.1016/j.wsee.2025.11.003

Célestin Havyarimana , Suranto Suranto , Tatien Masharabu , Agung Hidayat

Freshwater catchments are integral to the Earth’s hydrological and ecological networks, supporting biodiversity and delivering critical ecosystem goods and services. However, these systems face escalating anthropogenic pressures, particularly from land use and cover changes, which threaten their structural integrity and functional capacity. Despite increasing scientific interest, a global body of research that captures long-term trends specific to freshwater systems remains limited. To address this, a bibliometric-systematic literature review was conducted with 688 peer-reviewed articles from Scopus and Web of Science, published between 2014 and 2024. The study revealed an average annual growth rate of 9.72 % in publications, with China contributing 42.3 % and the United States contributing 10.8 % to the total research output. Three dominant research themes were identified: land use–water quality interactions, climate change–hydrological responses, and urbanization–ecosystem service trade-offs. A methodological evolution was also noted, shifting from descriptive studies towards advanced predictive modeling. International collaborations accounted for 16.13 %, yet significant geographical disparities persist, with the Global South remaining underrepresented. This study highlights the need to expand research in underrepresented regions, promote standardized assessment protocols for better comparability, and advance interdisciplinary approaches that integrate ecological and social dimensions. Incorporating emerging techniques, such as machine learning, is also recommended to enhance methodological innovation. These findings offer a strong evidence base to support future research and policies for sustainable freshwater catchment management amidst the growing environmental challenges.

淡水集水区是地球水文和生态网络的组成部分，支持生物多样性并提供关键的生态系统产品和服务。然而，这些系统面临着不断升级的人为压力，特别是来自土地利用和覆盖变化的压力，这威胁到它们的结构完整性和功能能力。尽管科学兴趣日益浓厚，但能够捕捉淡水系统特定长期趋势的全球研究机构仍然有限。为了解决这个问题，我们对2014年至2024年间发表的来自Scopus和Web of Science的688篇同行评议文章进行了文献计量学系统文献综述。该研究显示，出版物的平均年增长率为9.72%，其中中国贡献42.3%，美国贡献10.8%。确定了三个主要研究主题：土地利用-水质相互作用、气候变化-水文响应和城市化-生态系统服务权衡。还注意到方法论的演变，从描述性研究转向先进的预测建模。国际合作占16.13%，但显著的地理差异仍然存在，全球南方的代表性仍然不足。本研究强调有必要扩大代表性不足地区的研究，促进标准化评估协议以提高可比性，并推进整合生态和社会维度的跨学科方法。还建议结合新兴技术，如机器学习，以加强方法创新。这些发现为在日益严峻的环境挑战中支持未来可持续淡水集水区管理的研究和政策提供了强有力的证据基础。

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