Ecological Indicators最新文献_第3页

Roles of socioeconomic development and water quantity–quality dynamics in shaping water resources value in China 中国社会经济发展和水量-质量动态在水资源价值形成中的作用

IF 7 2区环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES

Ecological Indicators

Pub Date : 2026-03-01 Epub Date: 2026-02-20 DOI: 10.1016/j.ecolind.2026.114713

Yongya Fan , Yazhou Li , Fei Xiao , PingPing Luo , Jian Zhou , Xiaohong Chen , Maochuan Hu

Water resources value (WRV) provides a critical foundation for water pricing, water rights trading, and sustainable allocation. Present WRV valuation studies mainly emphasize economic indices and often overlook the roles of both water quantity and water quality in shaping value over time. In addition, few studies focus on long-term, national-scale evaluations displaying provincial differences in water scarcity and usability. To address these gaps, this study develops an improved present earning value (PEV) framework that explicitly integrates dynamic water quantity– and water quality–related indices to derive a comprehensive water resources value (CWRV). Using provincial data over China from 2000 to 2020, the spatial–temporal evolution of unit CWRV (CWRV_u) and its key drivers are systematically examined. Results show that China's national CWRV_u increased from 0.30 CNY/m³ in 2000 to 1.51 CNY/m³ in 2020, driven primarily by sustained socioeconomic growth and significant improvements in water quality, while interannual fluctuations in water quantity occasionally suppressed CWRV_u. Large spatial disparities persist: North China consistently exhibits the highest CWRV_u due to severe water scarcity and strong economic demand, whereas Southwest China —despite rapid growth—remains among the lowest because of abundant water endowments. The roles of influencing factors vary regionally: socioeconomic development and water scarcity dominate value formation, whereas improvements in water quality exert a positive but gradual and cumulative influence. These findings highlight the necessity of jointly considering natural and socioeconomic attributes in WRV assessments and provide evidence-based support for advancing water rights markets and sustainable water management in China.

水资源价值（WRV）是水价、水权交易和可持续分配的重要基础。目前的水资源价值评估研究主要强调经济指标，往往忽视了水量和水质在价值形成过程中的作用。此外，很少有研究关注长期的、国家尺度的评估，显示各省在水资源短缺和可用性方面的差异。为了解决这些差距，本研究开发了一个改进的现值（PEV）框架，该框架明确整合了动态水量和水质相关指数，以得出综合水资源价值（CWRV）。利用2000 - 2020年中国省际数据，系统分析了单位CWRV （CWRVu）的时空演变特征及其驱动因素。结果表明，中国全国CWRVu从2000年的0.30 CNY/m3增加到2020年的1.51 CNY/m3，主要受社会经济持续增长和水质显著改善的驱动，而水量的年际波动偶尔会抑制CWRVu。巨大的空间差异仍然存在：由于严重的水资源短缺和强劲的经济需求，华北地区一直表现出最高的CWRVu，而西南地区尽管快速增长，但由于丰富的水资源禀赋，仍然处于最低的水平。影响因素的作用因地区而异：社会经济发展和水资源短缺主导了价值形成，而水质改善则发挥着积极但渐进和累积的影响。这些发现强调了在水资源价值评估中综合考虑自然和社会经济属性的必要性，并为中国推进水权市场和可持续水资源管理提供了实证支持。

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引用次数: 0

Unraveling the impact of urban morphology on building sustainable cities: A case study of 54 cities in China 城市形态对可持续城市建设的影响——以中国54个城市为例

IF 7 2区环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES

Ecological Indicators

Pub Date : 2026-03-01 Epub Date: 2026-02-18 DOI: 10.1016/j.ecolind.2026.114704

Qingyan Meng , Chen Su , Linlin Zhang , Xinli Hu , Wangjia Liu

Rapid global urbanization has led to increasingly prominent issues of disharmony and imbalance in urban development. The impact of urban morphology on sustainable development requires further in-depth study. This study selects 54 cities in China to assess their sustainability and analyzes the level of coordinated development across economic, social, and environmental dimensions. By utilizing the interpretable machine learning methods, we investigated the relationship between urban morphology and sustainability. The study reveals that high-income and megacities generally score higher on Sustainable Development Goals (SDGs), indicating a positive correlation between economic development and the effectiveness of SDG implementation. In terms of regional differences, cities in the Eastern and Central-Southern regions outperform those in Northwest, North, and Northeast China in overall sustainable development. The Southwest region stands out in environmental sustainability, benefiting from its natural resource advantages. Urban morphology shapes sustainability, with land use as a core element across its three dimensions. In the built environment, building form is crucial for economic and social sustainability, while plot characteristics support social sustainability. Additionally, urban configuration affects economic development. Overall, land use and building form are key factors shaping SDG scores across cities of different income levels, sizes, and regions. This study aspires to offer novel insights and empirical evidence for sustainable urban development, and furnish reference for urban planning and policy-making.

全球快速城市化导致城市发展不协调、不平衡问题日益突出。城市形态对可持续发展的影响有待进一步深入研究。本研究选取了中国54个城市，对其可持续发展进行了评估，并从经济、社会和环境三个维度分析了城市的协调发展水平。利用可解释的机器学习方法，研究了城市形态与可持续性之间的关系。研究显示，高收入城市和特大城市在可持续发展目标（SDG）上的得分普遍较高，这表明经济发展与可持续发展目标实施的有效性之间存在正相关关系。从区域差异看，东部和中南部城市总体可持续发展水平优于西北、华北和东北地区。得益于自然资源优势，西南地区在环境可持续性方面表现突出。城市形态塑造了可持续性，土地利用是其三个维度的核心要素。在建筑环境中，建筑形式对经济和社会的可持续性至关重要，而地块特征则支持社会的可持续性。此外，城市结构影响经济发展。总体而言，土地利用和建筑形式是影响不同收入水平、规模和地区城市可持续发展目标得分的关键因素。本研究旨在为城市可持续发展提供新的见解和经验证据，并为城市规划和政策制定提供参考。

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引用次数: 0

The mechanisms and management strategies of ecosystem health in the water reception area of the yellow river diversion project in henan province based on the VORS model and machine learning 基于VORS模型和机器学习的河南引黄引水区生态系统健康机制与管理策略

IF 7 2区环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES

Ecological Indicators

Pub Date : 2026-03-01 Epub Date: 2026-02-27 DOI: 10.1016/j.ecolind.2026.114728

Ran Jie , Wenbo Zhu , Doudou Dong , Jun Du , Xiaobo Zhao , Tongyao Zhao , Xu Yang

Ecosystem health (EH) holds significant value in balancing ecological sustainability with human well-being. Existing research in the Water Reception Area of the Yellow River Diversion Project in Henan Province lacks ecological security studies centered on ecosystem health. This study selected this area as the study area and used the Vigor-Organization-Resilience-Services (VORS) model, machine learning, and spatial analysis to quantify and analyze the evolution, driving mechanisms, and management strategies of ecosystem health at multiple spatiotemporal scales. The results showed that: (1) From 2000 to 2020, the multi-scale EH index exhibited an overall declining trend, with the most pronounced decrease observed at the grid scale. Spatially, EH displayed a pattern of higher values in the west and lower values in the east. (2) The digital elevation model (DEM) has the greatest impact on EH. The DEM, normalized difference vegetation index (NDVI), and temperature (TMP) significantly influenced EH changes, with the DEM and TMP primarily having positive effects. The population density (POP) and gross domestic product (GDP) mainly have negative effects on EH changes. (3) In this study, driving factors exhibited a pronounced threshold effect on EH. From 2000 to 2020, DEM served as the primary driving factor, which had threshold values of 68.56, 66.72, and 64.82, respectively. (4) The study area was divided into four functional zones: ecological stability zone (52.76%), ecological conservation zone (25.84%), ecological restoration zone (20.99%), and ecological potential control zone (0.41%). Their corresponding extents within municipal and county-level administrative units were also identified.

生态系统健康（EH）在平衡生态可持续性与人类福祉方面具有重要价值。现有的河南引黄引水区研究缺乏以生态系统健康为中心的生态安全研究。本研究以该地区为研究区，运用活力-组织-弹性-服务（VORS）模型、机器学习和空间分析等方法，在多时空尺度上对生态系统健康演化、驱动机制和管理策略进行了量化分析。结果表明：(1)2000 - 2020年，多尺度EH指数总体呈下降趋势，其中网格尺度下降最为明显；EH在空间上呈现西高东低的格局。(2)数字高程模型对EH的影响最大。DEM、归一化植被指数（NDVI）和温度（TMP）显著影响EH的变化，其中DEM和TMP对EH的影响主要为正作用。人口密度（POP）和国内生产总值（GDP）主要对EH变化有负向影响。(3)本研究中，驱动因素对EH表现出明显的阈值效应。2000 - 2020年，DEM为主要驱动因子，阈值分别为68.56、66.72、64.82。(4)将研究区划分为生态稳定区（52.76%）、生态涵养区（25.84%）、生态修复区（20.99%）和生态潜力控制区（0.41%）4个功能区。还确定了其在市、县一级行政单位内的相应范围。

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引用次数: 0

Letter to the editor concerning the paper “Attraction points: A new sampling design method to quantify common finches' populations” published by Marazuela Pinela et al. in Ecological Indicators, 171, 113155 (2025) 关于Marazuela Pinela et al.发表的论文“Attraction points：一种量化普通雀类种群的新抽样设计方法”的致编辑信，生态指标，171,113155 （2025）

IF 7 2区环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES

Ecological Indicators

Pub Date : 2026-03-01 Epub Date: 2026-02-27 DOI: 10.1016/j.ecolind.2026.114719

Juan José Negro , Carlos Camacho , José Luis Tella , David Serrano , Miguel Tejedo , Jordi Figuerola , Tomás Redondo , Ismael Galván , Airam Rodríguez , Luis María Carrascal , Luisa Amo , Beatriz Arroyo , François Mougeot , Francisco Valera , Juan Arizaga , Irene Mendoza , José Prenda , Juan Carlos Atienza , Juan Carlos Senar , Víctor Manuel Díaz Núñez de Arenas , Antoni Margalida

引用次数: 0

Coupling ecosystem services with machine learning for ecological security pattern construction: Insights from Shaanxi Province, China 耦合生态系统服务与机器学习的生态安全格局构建——来自陕西省的启示

IF 7 2区环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES

Ecological Indicators

Pub Date : 2026-03-01 Epub Date: 2026-03-02 DOI: 10.1016/j.ecolind.2026.114709

Songjie Qu , Ling Han , Monika Kuffer , Liangzhi Li

Urban expansion and intensive land use have profoundly reshaped landscape patterns, imposing increasing pressure on regional ecological security. To address this challenge, this study couples ecosystem service (ES) assessment with machine learning–based resistance surface modelling to construct the Ecological Security Pattern (ESP) of Shaanxi Province. Using the Integrated Valuation of Ecosystem Services and Trade-offs (InVEST) model, four key ecosystem services (ESs)—water yield, soil conservation, carbon storage, and habitat quality—were quantified to identify ecological sources. Subsequently, a multidimensional resistance factor system encompassing natural, climatic, and anthropogenic drivers was established, and resistance surfaces were constructed and compared using logistic regression, support vector machine, random forest, and XGBoost models. Furthermore, circuit theory was applied to extract ecological corridors and ecological nodes, thereby forming a comprehensive ESP. The results demonstrate that the random forest model achieved the highest performance across multiple accuracy metrics, significantly improving the accuracy and robustness of resistance surface estimation. The spatial distribution of ES importance in Shaanxi follows a “high in the south—moderate in the north—low in the central region” pattern, with the Qinba Mountains serving as a critical ecological barrier. The total ecological source area amounts to approximately 33,600 km², of which core sources account for 47.9%. A total of 147 ecological corridors were identified, with a combined length of 3753 km, characterised by longitudinal connectivity (north-south) yet central obstruction. Ecological pinch points were primarily associated with forest ecosystems, while barrier points were concentrated in areas of farmland expansion and urban development. Based on these findings, this study proposes a “Two Axes, Three Corridors, Six Cores, Four Functional Areas” framework for the ESP, aiming to enhance regional ecological connectivity and system resilience. Overall, the combination of ESs with machine learning approaches proves effective for the scientific construction of ESP, providing critical support for land-use planning, ecological redline delineation, and the sustainable development of ecologically fragile areas.

城市扩张和土地集约利用深刻改变了景观格局，对区域生态安全的压力日益增大。针对这一挑战，本研究将生态系统服务（ES）评价与基于机器学习的阻力面模型相结合，构建陕西省生态安全格局。利用生态系统服务与权衡综合评估（InVEST）模型，对四种关键生态系统服务（ESs）——水量、土壤保持、碳储量和栖息地质量进行了量化，以确定生态来源。随后，建立了包含自然、气候和人为驱动因素的多维阻力因子系统，并使用逻辑回归、支持向量机、随机森林和XGBoost模型构建阻力面并进行了比较。利用电路理论提取生态廊道和生态节点，形成综合ESP。结果表明，随机森林模型在多个精度指标上都取得了最高的性能，显著提高了电阻面估计的精度和鲁棒性。陕西省ES重要性的空间分布呈现“南高中北低”的格局，秦巴山是重要的生态屏障。生态源区总面积约3.36万平方公里，其中核心源区占47.9%。共确定了147条生态廊道，总长度为3753公里，其特点是纵向连接（南北），但中心受阻。生态捏点主要与森林生态系统有关，而屏障点主要集中在农田扩张和城市发展地区。在此基础上，本文提出了“两轴、三廊、六核、四功能区”框架，旨在增强区域生态连通性和系统弹性。综上所示，ESs与机器学习方法的结合对ESP的科学构建是有效的，为土地利用规划、生态红线划定和生态脆弱地区的可持续发展提供了重要支持。

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引用次数: 0

Speciation-based ecological indicators for assessing heavy metal mobility and risk in forest lake sediments 基于物种的森林湖泊沉积物重金属迁移和风险评价指标

IF 7 2区环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES

Ecological Indicators

Pub Date : 2026-03-01 Epub Date: 2026-02-27 DOI: 10.1016/j.ecolind.2026.114722

Marcin Sidoruk

Sediments act as long-term sinks for heavy metals in aquatic systems but may also become secondary sources of contamination when environmental conditions change. Assessments based solely on total metal concentrations often fail to capture this dual role and may underestimate ecological risk. In this study, a speciation-based approach was applied to evaluate heavy metal mobility and ecological relevance in lake sediments from a forest catchment exposed to low direct anthropogenic pressure in northern Poland.

Sediment samples were collected along transects representing the main hydrological zones of the lake basin and analysed using the BCR sequential extraction procedure. Metal speciation was integrated with mobility- and risk-based indicators (MI, RAC, RI, and PLI), supported by spatial analysis and multivariate statistical methods.

Total metal concentrations indicated generally low to moderate contamination. However, speciation analyses revealed that cadmium and zinc were predominantly associated with mobile and potentially bioavailable fractions, resulting in elevated mobility- and risk-related indices. These fractions were concentrated mainly in the central depositional zone and in sediments influenced by outflow conditions, identifying areas particularly susceptible to remobilisation and ecological impact. Such spatial patterns were not evident when only bulk concentrations were considered.

The results demonstrate that integrating metal speciation with indicator-based and spatial analyses provides a more sensitive and process-oriented assessment of sediment quality. This approach is especially relevant for lakes in forested or weakly disturbed catchments, where internal sedimentary processes play a dominant role in controlling metal behaviour and ecological risk.

沉积物是水生系统中重金属的长期汇，但当环境条件发生变化时，沉积物也可能成为二次污染源。仅以总金属浓度为基础的评估往往无法捕捉到这一双重作用，并可能低估生态风险。在这项研究中，基于物种的方法被应用于评估波兰北部暴露于低直接人为压力的森林集水区湖泊沉积物中的重金属流动性和生态相关性。沉积物样本沿着代表湖盆主要水文带的样带收集，并使用BCR顺序提取程序进行分析。在空间分析和多元统计方法的支持下，金属形态与基于流动性和风险的指标（MI、RAC、RI和PLI）相结合。总金属浓度表明污染程度一般为低至中度。然而，物种形态分析显示，镉和锌主要与可移动和潜在生物利用的组分相关，导致流动性和风险相关指数升高。这些馏分主要集中在中央沉积带和受流出条件影响的沉积物中，确定了特别容易受到再动员和生态影响的地区。当只考虑体积浓度时，这种空间格局并不明显。结果表明，将金属形态与基于指标和空间的分析相结合，可以提供更敏感和面向过程的沉积物质量评价。这种方法特别适用于森林或受干扰程度较弱的集水区中的湖泊，在这些地区，内部沉积过程在控制金属行为和生态风险方面起主导作用。

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引用次数: 0

Setting safe ecological boundaries for nutrients and exploring climate impacts on biological resilience in lowland lakes and rivers in the Nordic and central European regions 为营养物设定安全的生态边界，探索气候对北欧和中欧地区低地湖泊和河流生物恢复力的影响

IF 7 2区环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES

Ecological Indicators

Pub Date : 2026-03-01 Epub Date: 2026-02-25 DOI: 10.1016/j.ecolind.2026.114685

Jan-Erik Thrane , Kirstine Thiemer , Areti Balkoni , Jens Fölster , Brian Kronvang , Juan Pablo Pacheco , Jukka Aroviita , Ainis Lagzdins , Ignacy Kardel , Geoff Phillips , Sandra Mingarelli , Gary Free , Anne Lyche Solheim

Boundary concentrations for phosphorus and nitrogen set by EU countries and Norway are intended to support good ecological status in lakes and rivers. Yet these boundaries vary by more than an order of magnitude within comparable waterbody types, raising concerns that some limits may not ensure good status. This study estimates nutrient boundaries compatible with good ecological status for lake phytoplankton and river phytobenthos by using binomial logistic regression (BLR) and examines how climate variables affect their ecological status.

Using datasets on total phosphorus, total nitrogen and ecological quality ratios for lake phytoplankton and river phytobenthos from three Nordic and three Central European/Baltic countries, we estimated nutrient boundaries that are likely to support good ecological status for nutrient-sensitive biota in common lake and river types within each of these regions. The boundaries estimated with BLR correspond well to previous estimates based on other regression methods. Most of the currently used national boundaries are also in line with our estimates. However, some national boundaries exceed the upper 95% confidence limit of the estimated values – indicating that they may require further validation.

Climate effects on ecological status were variable and much weaker than the strong influence of nutrients. Nonetheless, ecological status for phytoplankton in lakes (expressed as normalized ecological quality ratio) showed a small but consistent negative relationship with summer air temperature for all the stratified lake types included. Consequently, river basin managers may need to adopt more stringent nutrient boundaries and/or implement additional measures to mitigate climate-driven risks to freshwater ecosystems.

欧盟国家和挪威设定的磷和氮的边界浓度旨在支持湖泊和河流的良好生态状况。然而，在可比较的水体类型中，这些界限相差不止一个数量级，令人担心一些界限可能无法确保良好的地位。本研究利用二项logistic回归（BLR）方法估算了湖泊浮游植物和河流底栖植物与良好生态状态相容的营养边界，并研究了气候变量对其生态状态的影响。利用来自三个北欧国家和三个中欧/波罗的海国家的湖泊浮游植物和河流底栖植物的总磷、总氮和生态质量比数据集，我们估计了这些区域内常见湖泊和河流类型中可能支持营养敏感生物群良好生态状态的营养边界。用BLR估计的边界与以前基于其他回归方法估计的边界很好地对应。目前使用的大多数国家边界也符合我们的估计。然而，一些国家的边界超过了估价值的95%置信上限，这表明它们可能需要进一步验证。气候对生态状况的影响是可变的，远弱于养分的强烈影响。然而，湖泊浮游植物的生态状况（以归一化生态质量比表示）与夏季气温呈小而一致的负相关关系。因此，流域管理者可能需要采用更严格的营养界限和/或实施额外措施，以减轻气候驱动的淡水生态系统风险。

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引用次数: 0

Analysing actor power networks in mangrove forest management: insights from high- and low-disturbance areas in Myanmar 分析红树林管理中的行动者权力网络：来自缅甸高干扰和低干扰地区的见解

IF 7 2区环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES

Ecological Indicators

Pub Date : 2026-03-01 Epub Date: 2026-02-24 DOI: 10.1016/j.ecolind.2026.114727

Lwin Thuzar Nyein , Lukas Giessen , Daniel Karthe , Carsten Schusser

Myanmar is among the top 10 countries worldwide in terms of mangrove cover, yet it is also one of the countries that has experienced the highest mangrove losses over the past 50 years. While the need for mangrove conservation and restoration has been acknowledged by the government of Myanmar, the scientific community, and the United Nations, local conservation efforts are hindered by several factors, including the volatile security situation in Myanmar and land cover changes driven primarily by agriculture and aquaculture. However, how mangrove forests are governed and utilized at the ground remains a largely underexplored area of research in Myanmar. This study aims to fill the knowledge gap by analysing the actor networks that influence mangrove forest management and to gain a better understanding of how the power of different actors is leveraged in the most effective way for mangrove conservation. The case study was conducted in two distinct reserved mangrove forest areas: a high-disturbance mangrove forest area in the delta region and a low-disturbance mangrove forest area in the lower coastal region of Myanmar. Using Actor-Centered Power (ACP) theory, this study identified the complex actor network shaping the use and conservation of mangrove forests, revealing the imbalanced power distribution among different political, economic, and social actors engaged in the local-level management. This power imbalance has led to several management practices encompassing both conservation and degradation of the mangrove forest. Notably, most practices, driven by a wide range of actors, continue to place pressure on the mangrove ecosystem through intensive use of mangrove-based resources. Therefore, incorporating an understanding of the underlying power imbalances within the actor network allows the reforestation initiatives to build on past lessons to achieve sustainable mangrove management outcomes, as demonstrated by the case studies from Myanmar.

缅甸是全球红树林覆盖面积最大的10个国家之一，但它也是过去50年来红树林损失最严重的国家之一。虽然缅甸政府、科学界和联合国都认识到保护和恢复红树林的必要性，但当地的保护工作受到几个因素的阻碍，包括缅甸不稳定的安全局势以及主要由农业和水产养殖驱动的土地覆盖变化。然而，如何在地面管理和利用红树林在缅甸仍然是一个很大程度上未被探索的研究领域。本研究旨在通过分析影响红树林管理的行动者网络来填补知识空白，并更好地了解如何以最有效的方式利用不同行动者的力量来保护红树林。案例研究是在两个不同的红树林保护区进行的：一个是位于三角洲地区的高干扰红树林区，另一个是位于缅甸下沿海地区的低干扰红树林区。运用行动者中心权力（ACP）理论，分析了影响红树林利用与保护的复杂行动者网络，揭示了参与地方管理的不同政治、经济和社会行动者之间权力分配的不平衡。这种权力不平衡导致了几种管理做法，包括红树林的保护和退化。值得注意的是，在各种行为者的推动下，大多数做法通过集约利用红树林资源，继续给红树林生态系统带来压力。因此，正如缅甸的案例研究所证明的那样，在行动者网络中纳入对潜在权力不平衡的理解，可以使重新造林倡议以过去的经验为基础，实现可持续的红树林管理成果。

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引用次数: 0

Biogeographic patterns and environmental drivers of cladocerans in surface lake sediments across China 中国表层湖泊沉积物中支海生物的生物地理格局与环境驱动因素

IF 7 2区环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES

Ecological Indicators

Pub Date : 2026-03-01 Epub Date: 2026-02-23 DOI: 10.1016/j.ecolind.2026.114708

Wenjia Wang , Lixiong Xiang , Yuan Li , Qi Suo , Farqan Muhammad , Chuangzi Yan , Jiayu Deng , Ruizhong Xia , Yao Ouyang , Chong Huang , Shengqian Chen , Jifeng Zhang , Hui Zhao , Xiaozhong Huang

Aquatic biodiversity is essential for maintaining lake ecosystem health, yet large-scale studies linking zooplankton communities, particularly cladocerans to environmental gradients remain limited in the world's most populous heartland (Asia). Probing cladocerans as indicators of lake ecological vitality, we surveyed 215 lakes spanning China's vast environmental mosaic. Cladocerans were found in 157 lakes, and a subset of 97 lakes with complete environmental data included in advanced statistical modeling to decode biogeographic and community-environment relationships. Water depth, electrical conductivity, and mean annual temperature emerged as dominant shapers of community structure, with southern lakes exhibit the highest alpha diversity, while lakes on the Qinghai-Tibet Plateau show the greatest beta diversity. Cladoceran community similarity exhibited statistically significant distance-decay relationships across regions. Structural equation modeling revealed climate-related variables as the overriding force on composition and diversity, further amplified by local habitat conditions and nutrient factors, exerting secondary regulatory effects. Overall, our findings enhance our understanding of how environmental gradients structure freshwater biogeography at a national scale, highlighting regionally divergent cladoceran patterns and providing a conceptual basis for biodiversity conservation and sustainable lake management.

水生生物多样性对于维持湖泊生态系统的健康至关重要，然而，在世界人口最多的心脏地带（亚洲），将浮游动物群落，特别是枝海生物与环境梯度联系起来的大规模研究仍然有限。我们对中国215个湖泊进行了调查，探讨了支海生物作为湖泊生态活力的指标。在157个湖泊中发现了支海生物，并在97个湖泊中发现了完整的环境数据，并将其纳入高级统计模型以解码生物地理和群落环境关系。水体深度、电导率和年平均温度是影响群落结构的主要因素，南部湖泊的α多样性最高，青藏高原湖泊的β多样性最高。枝洋类群落相似性在区域间表现出显著的距离衰减关系。结构方程模型显示，气候相关变量对群落组成和多样性起主导作用，并被当地生境条件和营养因子进一步放大，发挥次要调节作用。总的来说，我们的研究结果增强了我们对国家尺度上环境梯度如何构成淡水生物地理的理解，突出了区域差异的枝海模式，并为生物多样性保护和可持续湖泊管理提供了概念基础。

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引用次数: 0

Integrating polycyclic aromatic hydrocarbons risk into lake health assessment: A diagnostic framework for ecosystem integrity and services in Dongping Lake, China 将多环芳烃风险纳入湖泊健康评价：东平湖生态系统完整性与服务诊断框架

IF 7 2区环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES

Ecological Indicators

Pub Date : 2026-03-01 Epub Date: 2026-03-04 DOI: 10.1016/j.ecolind.2026.114716

Xinjie Liu , Zengzhe Liu , Xin Li, Jiajing Li, Zhi Dong, Xinchuang Chen, Xiaoqian Li

Lake ecosystems are vital for sustaining regional ecological security and delivering diverse ecosystem services. However, traditional frameworks often overlook emerging contaminant risks and fail to explicitly link ecological integrity with ecosystem service outcomes. To address this gap, we developed and applied an integrated diagnostic framework that incorporates polycyclic aromatic hydrocarbons (PAHs) as a representative emerging stressor into a multi-dimensional integrity-based evaluation, explicitly connecting integrity status to service. It encompasses five core dimensions: organism integrity, habitat integrity, material process integrity (including PAHs risk evaluated via the RQ method), hydrological integrity, and ecosystem services. Application of this framework to Dongping Lake: a critical hydraulic node in China's Yellow River Basin, revealed an overall “Healthy” status but with significant spatial heterogeneity and functional degradation. The Northern zone exhibited the poorest ecological performance, primarily attributable to intensive hydrological regulation and elevated PAHs risk, The Central zone showed the best ecological performance, and The Southern zone maintained an intermediate status. Notably, material process integrity was constrained by a “Moderate Risk” level from PAHs, a threat that conventional assessments would likely mask. Network analysis identified four key management leverage points: macrophyte coverage, shoreline development index, dissolved oxygen, and public satisfaction, and quantified a trade-off between water supply provision and ecological integrity. This study provides a transferable and systematic approach for integrating emerging contaminant risks into lake health assessments, offering actionable insights for adaptive management in rapidly developing regions.

湖泊生态系统对于维持区域生态安全和提供多样化的生态系统服务至关重要。然而，传统框架往往忽视了新出现的污染物风险，也未能明确地将生态完整性与生态系统服务结果联系起来。为了解决这一问题，我们开发并应用了一个综合诊断框架，该框架将多环芳烃（PAHs）作为一种代表性的新兴压力源，纳入到基于多维完整性的评估中，明确地将完整性状态与服务联系起来。它包括五个核心维度：生物完整性、栖息地完整性、材料过程完整性（包括通过RQ方法评估的多环芳烃风险）、水文完整性和生态系统服务。将该框架应用于黄河流域关键水利节点东平湖，整体呈现“健康”状态，但存在明显的空间异质性和功能退化。北区生态表现最差，主要原因是水文调控力度加大和多环芳烃风险增加，中部生态表现最好，南区生态表现处于中等水平。值得注意的是，材料工艺完整性受到多环芳烃“中等风险”水平的限制，这是传统评估可能掩盖的威胁。网络分析确定了四个关键的管理杠杆点：大型植物覆盖、海岸线发展指数、溶解氧和公众满意度，并量化了供水和生态完整性之间的权衡。该研究为将新出现的污染物风险纳入湖泊健康评估提供了一种可转移和系统的方法，为快速发展地区的适应性管理提供了可操作的见解。

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