Ecological Indicators最新文献_第4页

Impacts of compound drought-heatwaves on the Ecohydrology of National Important Wetlands in Northeast China 干旱-热浪复合对东北国家重要湿地生态水文的影响

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

Ecological Indicators

Pub Date : 2026-01-22 DOI: 10.1016/j.ecolind.2026.114633

Yuxuan Zhang , Jingxuan Sun , Liwen Chen , Can Peng , Yingna Sun , Guangxin Zhang

The Northeast Region of China constitutes a main concentrated distribution area for wetland and a climatically sensitive zone. However, compound drought-heatwave (CDHW) events have intensified in Northeast China over the past four decades, posing a significant threat to wetland hydrological stability and ecological security. Accordingly, this study employed the Standardized Precipitation Index (SPI) and a relative threshold method to identify CDHW events in Northeast China during the period 1981–2020. The spatiotemporal variation characteristics of CDHW events and their impact mechanisms on the ecohydrology of National Important Wetlands were systematically analyzed. Results indicate that CDHW events in Northeast China have significantly increased in frequency, duration, cumulative intensity, and anomaly, with concentration in the northwest and southern parts of the region. Detrended NDVI anomalies indicate that vegetation in National Important Wetlands generally exhibited a negative response to CDHW events. The palustrine wetland exhibited anomaly values predominantly ranging from −0.2 to 0.1, indicating a substantially higher ecological sensitivity compared to other wetland types. In contrast, lacustrine and riverine wetlands exhibited negative anomalies, albeit with a relatively weaker response. National important wetland water levels exhibited a negative correlation with CDHW events. In particular, palustrine wetlands exhibited the strongest response (R = −0.63, p < 0.05), whereas weaker correlations were observed in lacustrine and riverine wetlands. This suggests that CDHW events primarily disturb hydrological processes in palustrine wetlands. These insights can provide a scientific basis for optimizing ecohydrological regulation and management of National Important Wetlands in Northeast China under climate change scenarios

东北地区是中国湿地的主要集中分布区和气候敏感区。然而，近40年来东北地区复合干旱-热浪事件不断加剧，对湿地水文稳定和生态安全构成了严重威胁。基于此，本研究采用标准化降水指数（SPI）和相对阈值法对1981—2020年东北地区的CDHW事件进行了识别。系统分析了CDHW事件的时空变化特征及其对国家重要湿地生态水文的影响机制。结果表明：东北地区CDHW事件频次、持续时间、累积强度和异常均显著增加，且集中在西北和南部地区；非趋势NDVI异常表明，国家重点湿地植被对CDHW事件总体呈负响应。河口湿地的异常值主要在−0.2 ~ 0.1之间，表明其生态敏感性明显高于其他湿地类型。而湖泊湿地和河流湿地则表现为负异常，但响应相对较弱。国家级重要湿地水位与CDHW事件呈负相关。其中，湖泊湿地的响应最强（R = - 0.63, p < 0.05），而湖泊湿地和河流湿地的相关性较弱。这表明CDHW事件主要干扰了沼泽湿地的水文过程。研究结果可为气候变化情景下东北国家重要湿地生态水文调控与管理优化提供科学依据

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引用次数: 0

Pathway to green: the impact of high-speed rail network on urban green land use efficiency 走向绿色：高铁网络对城市绿地利用效率的影响

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

Ecological Indicators

Pub Date : 2026-01-22 DOI: 10.1016/j.ecolind.2026.114645

Hongzheng Wang , Qiong Deng , Xinhai Lu , Yuejiao Chen , Xinpeng Liu , Xiangyu Fan

In recent years, urban networks have emerged as a significant force shaping urban development, while the relevant studies focusing on urban green land use efficiency(GLUE) are lacking. This study aims to help complete the “impact puzzle” by investigating the impact of the high-speed rail network(HSRN) on the urban green land use efficiency. Using land use and high-speed rail data from 284 Chinese cities with a time-varying DID and fixed effects model, we find that: Firstly, the introduction of high-speed rail has noticeably enhanced the GLUE compared to cities without it. This positive impact is not short-lived; it continues to strengthen one year after the high-speed rail introduction, demonstrating a lasting policy effect. Secondly, a city's breadth of network connectivity is a critical factor. The greater the breadth of a city's network connectivity, the more pronounced the positive effect on its GLUE. Ultimately, a heterogeneity analysis reveals significant disparities based on city size. The initial introduction of high-speed rail does not yield significant benefits for large cities. In contrast, small and medium-sized cities experience a noticeable improvement in GLUE due to the high-speed rail introduction. For large cities, however, the breadth of network connectivity exhibits a more pronounced effect in enhancing the GLUE. This article offers a novel perspective on elucidating China's achievements in the GLUE, and provides innovative insights for advancing sustainable urban land use in the future.

近年来，城市网络已成为塑造城市发展的重要力量，但对城市绿地利用效率（GLUE）的相关研究尚缺乏。本研究旨在通过研究高铁网络对城市绿地利用效率的影响，帮助解开“影响之谜”。利用中国284个城市的土地利用和高铁数据，采用时变DID和固定效应模型，我们发现：首先，与未引入高铁的城市相比，引入高铁的城市的GLUE显著增强；这种积极影响不是短暂的；高铁开通一年后，经济持续走强，政策效果持续。其次，城市网络连接的广度是一个关键因素。一个城市的网络连通性越广，对GLUE的积极影响就越明显。最后，异质性分析揭示了基于城市规模的显著差异。高速铁路的最初引入并没有给大城市带来显著的好处。相比之下，由于高铁的引入，中小城市的GLUE有了明显的改善。然而，对于大城市来说，网络连接的广度在增强GLUE方面表现出更明显的效果。本文从一个全新的角度阐述了中国在GLUE方面取得的成就，并为未来推进城市土地可持续利用提供了创新的见解。

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引用次数: 0

Mapping wetland vegetation associations in the Yellow River Delta: a phenology-based segmentation approach using dense Sentinel-2 time series 黄河三角洲湿地植被关联制图：基于物候的密集Sentinel-2时间序列分割方法

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

Ecological Indicators

Pub Date : 2026-01-21 DOI: 10.1016/j.ecolind.2026.114618

Linsong Liu , Qingyu Li , Zhenguo Niu , Xiaonan Zhou , Junkai Shi

Accurate spatial distribution information of wetland vegetation serves as the foundation for assessing the health and diversity of wetland ecosystems and is essential for monitoring environmental changes and predicting future ecological trends. Focusing on the complex wetlands of the Yellow River Delta, this study proposes a novel, robust classification framework to achieve the first-ever association-level vegetation map for the region. Our methodology leverages dense Sentinel-2 NDVI time series data (December 2022 to January 2024). The data were rigorously pre-processed, including quantitative optimization of the Savitzky-Golay (S-G) filter parameters to ensure high fidelity of the phenological trajectories. Employing the phenology-based unsupervised segmentation approach, we completed the first wetland vegetation mapping at the association level in the Yellow River Delta region. We developed a new framework based on the principle of temporal similarity among vegetation covers of the same type, segmenting NDVI dense time series data using the X-means algorithm. By correlating survey data with patch categories and actual vegetation association types, we ultimately producing maps for 9 wetland vegetation association types. Within this framework, we addressed the separability of vegetation association structure in the study area. Results indicate that unsupervised segmentation algorithms effectively exploit latent information in NDVI dense time series data, achieving an overall classification accuracy of 85.00%, Kappa of 82.4%, and Macro-F1 of 85.22%, all higher than those of the random forest classifier. The resulting association-level map accurately reveals the spatial distribution characteristics and relationships among different vegetation communities in the Yellow River Delta, providing critical data support for the refined ecological management and effective conservation of this vital coastal wetland.

准确的湿地植被空间分布信息是评估湿地生态系统健康和多样性的基础，是监测环境变化和预测未来生态趋势的必要条件。本研究以黄河三角洲复杂湿地为研究对象，提出了一种新颖、稳健的分类框架，实现了该地区首个关联级植被图。我们的方法利用密集的Sentinel-2 NDVI时间序列数据（2022年12月至2024年1月）。数据经过严格的预处理，包括定量优化Savitzky-Golay （S-G）滤波器参数，以确保物候轨迹的高保真度。采用基于物候的无监督分割方法，完成了黄河三角洲地区首个协会级湿地植被制图。基于同一类型植被覆盖度的时间相似性原则，提出了一种基于x均值算法的NDVI密集时间序列数据分割框架。通过将调查数据与斑块类别和实际植被关联类型相关联，最终生成了9种湿地植被关联类型的地图。在此框架下，我们研究了研究区植被组合结构的可分性。结果表明，无监督分割算法有效地挖掘了NDVI密集时间序列数据中的潜在信息，总体分类准确率为85.00%，Kappa为82.4%，Macro-F1为85.22%，均高于随机森林分类器。该关联级图准确揭示了黄河三角洲不同植被群落的空间分布特征和相互关系，为这一重要滨海湿地的精细化生态管理和有效保护提供了重要的数据支持。

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引用次数: 0

Assessing the ecological integrity of mountain national parks' forest ecosystems under changing disturbance regimes: A systematic review 变化干扰条件下山地国家公园森林生态系统的生态完整性评价

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

Ecological Indicators

Pub Date : 2026-01-20 DOI: 10.1016/j.ecolind.2025.114592

Nuo Xu , Anil Shrestha , Wanli Wu , Peter Marshall , Qinglin Li , Jingwei Ma , Guangyu Wang

The changing climate is reshaping forest disturbance regimes, creating major uncertainties for sustaining the ecological integrity (EI) of mountain national parks. To address this, we conducted a systematic review of the impacts of changing disturbance regimes on forest ecosystems within mountain national parks. From 26 accepted peer-reviewed papers, we synthesized observed EI trends, ecological levels, spatial and temporal scales, EI attributes, assessment methods and metrics. Results revealed a predominant decline in EI, especially through losses of resilience, while stable or improved trends emerged mainly at broad spatial extents and long temporal scales, reflecting strong scale dependence. Assessments were biased toward structure, composition, and resilience, with limited attention to biodiversity and function, and they often relied on state-based rather than rate-based metrics. Methodologically, most studies used coarse-resolution models, with field surveys and remote sensing underrepresented, limiting the detection of fine-grain post-disturbance forest ecosystem successions. We identify three critical gaps: (1) insufficient assessment of ecosystem- and landscape-level EI trends, (2) limited use of high-resolution remote sensing methods and advanced metrics, and (3) lack of robust reference conditions to interpret post-disturbance changes. To advance EI assessments, we recommend integrating high-resolution remote sensing with models, expanding metrics to capture biodiversity, function, and rates of forest responses, and adopting multi-scale reference frameworks. These improvements will clarify how climate-driven disturbance regimes changes shape forest dynamics and provide stronger foundations for adaptive management of mountain national parks.

气候变化正在重塑森林干扰机制，为维持山地国家公园的生态完整性（EI）创造了重大的不确定性。为了解决这个问题，我们对山地国家公园内变化的干扰制度对森林生态系统的影响进行了系统的回顾。本文从已接受的26篇同行评议论文中，综合了EI观测趋势、生态水平、时空尺度、EI属性、评价方法和指标。结果表明，EI以恢复力丧失为主，呈下降趋势，但在较宽的空间范围和较长的时间尺度上呈现稳定或改善的趋势，反映出较强的尺度依赖性。评估偏向于结构、组成和恢复力，对生物多样性和功能的关注有限，而且往往依赖于基于状态而不是基于速率的指标。在方法上，大多数研究使用粗分辨率模型，实地调查和遥感代表性不足，限制了对扰动后森林生态系统演替的细粒度检测。我们确定了三个关键的差距：(1)对生态系统和景观水平EI趋势的评估不足；(2)高分辨率遥感方法和先进指标的使用有限；(3)缺乏解释干扰后变化的稳健参考条件。为了推进EI评估，我们建议将高分辨率遥感与模型相结合，扩展指标以捕获生物多样性、功能和森林响应率，并采用多尺度参考框架。这些改进将阐明气候驱动的干扰机制如何改变森林动态，并为山地国家公园的适应性管理提供更坚实的基础。

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引用次数: 0

Urbanization reshapes planktonic and benthic microbial communities and networks along a river continuum 城市化重塑了沿河流连续体的浮游和底栖微生物群落和网络

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

Ecological Indicators

Pub Date : 2026-01-20 DOI: 10.1016/j.ecolind.2026.114632

Yulong Xiao, Yujia Zhai, Peijin Xie, Tian Xie, Anping Shu, Junhong Bai, Baoshan Cui

Rivers are essential components of urban-rural river and lake system. Increasing urbanization and climate change have introduced significant longitudinal and vertical variability in environmental factors and river habitats; however, the underlying patterns remain largely unclear. This study selected a representative river with significant rural-urban gradients to analyze microbial community diversity, co-occurrence patterns, and spatiotemporal variation mechanisms to clarify the impacts of urbanization and differences in medium characteristics (surface water vs. sediment) on planktonic and benthic microorganisms. Vertically, the differences between water and sediment lead to distinct microbial community assembly processes. The community assembly of planktonic microorganisms was more influenced by stochastic processes, whereas deterministic processes had a greater influence on the assembly of the benthic microbial community. The differences in the medium characteristics also resulted in divergent response mechanisms of planktonic and benthic microbial communities to urbanization: benthic communities were more sensitive to changes in environmental factors and developed more complex network structures. Longitudinally, from rural to urban areas, the Chao diversity of planktonic communities decreased from 1099 to 938, and the Chao diversity of benthic communities decreased from 3465 to 3047. Notably, the proportion of benthic communities derived from planktonic microorganisms dropped sharply from 52% in rural areas to only 8% in coastal areas, indicating severely hindered microbial exchange. Urbanization also disrupts microbial networks and reduces network complexity. In growing urbanization, understanding the shifts in river microbial community-building processes can help develop more efficient ecological restoration measures.

河流是城乡河湖系统的重要组成部分。日益加剧的城市化和气候变化导致环境因子和河流生境的纵向和纵向显著变化；然而，潜在的模式在很大程度上仍不清楚。本研究选取了一条具有显著城乡梯度的代表性河流，分析了其微生物群落多样性、共生模式和时空变化机制，以阐明城市化和介质特征（地表水与沉积物）差异对浮游和底栖微生物的影响。在垂直方向上，水和沉积物之间的差异导致了不同的微生物群落组装过程。浮游微生物群落的组成受随机过程的影响较大，而底栖微生物群落的组成受确定性过程的影响较大。介质特性的差异也导致浮游和底栖微生物群落对城市化的响应机制存在差异：底栖群落对环境因子的变化更为敏感，形成了更为复杂的网络结构。从纵向上看，从农村到城市，浮游生物群落Chao多样性从1099下降到938，底栖生物群落Chao多样性从3465下降到3047。值得注意的是，来自浮游微生物的底栖生物群落比例从农村地区的52%急剧下降到沿海地区的8%，表明微生物交换严重受阻。城市化也破坏了微生物网络，降低了网络的复杂性。在城市化进程中，了解河流微生物群落建设过程的变化有助于制定更有效的生态恢复措施。

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引用次数: 0

Performance assessment of multicriteria decision making techniques and artificial neural network to predict future groundwater potential zones 多准则决策技术与人工神经网络性能评价预测未来地下水潜势带

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

Ecological Indicators

Pub Date : 2026-01-20 DOI: 10.1016/j.ecolind.2026.114619

Zarjes Kader , Md. Rabiul Islam , Manik Miah , Md. Tareq Aziz , Akramul Haque , Md Sakib Hasan Tumon , Md. Abdullah Al Mamun , Md. Biplob Hosen , Umme. Tahera-Tun-Humayra , Mahmudul Hasan , Abdus Samad Akanda

Identifying Groundwater Potential Zones (GWPZs) is essential for sustainable water security amid anthropogenic pressures and climate variability. This study develops an integrated geospatial framework to project GWPZ spatiotemporal dynamics in Gazipur District, Bangladesh, using three MCDM techniques: Analytic Hierarchy Process (AHP), Frequency Ratio (FR), and Artificial Neural Network (ANN). Eleven hydro-environmental factors were incorporated, with rainfall and LULC projected as dynamic variables for 2030, 2040, and 2050 using CNRM-CM6–1 (CMIP6) under SSP1–2.6, SSP2–4.5, and SSP5–8.5 scenarios. Model validation via pixel-wise correlation and ROC-AUC ranked FR highest (AUC = 0.80), followed by AHP (0.77) and ANN (0.71). All models consistently projected contraction of moderate-to-high potential zones and expansion of low-potential areas. Under SSP2–4.5, moderate zones decreased from 1053.78 km² (2030) to 955.26 km² (2050), while low-potential zones increased from 321.73 km² to 440.96 km². These results indicate rising groundwater stress under future climates, highlighting the urgency of adaptive, resilient governance. The framework provides a robust, scalable decision-support tool for prioritizing interventions, managed aquifer recharge, and policy formulation in data-scarce, hydro-climatically vulnerable regions.

在人为压力和气候变率的背景下，确定地下水潜力区对于实现可持续水安全至关重要。本研究利用三种MCDM技术：层次分析法（AHP）、频率比分析法（FR）和人工神经网络（ANN），开发了一个综合地理空间框架来预测孟加拉国加兹浦尔地区GWPZ的时空动态。利用CNRM-CM6-1 （CMIP6）对SSP1-2.6、SSP2-4.5和SSP5-8.5情景下的2030、2040和2050年的降水和LULC进行了动态预测，并纳入了11个水文环境因子。通过逐像素相关和ROC-AUC进行模型验证，FR最高（AUC = 0.80），其次是AHP（0.77）和ANN（0.71）。所有模式一致地预测了中至高电位区域的收缩和低电位区域的扩张。在SSP2-4.5条件下，中等潜力区从1053.78 km2（2030年）减少到955.26 km2（2050年），低潜力区从321.73 km2增加到440.96 km2。这些结果表明，在未来气候条件下，地下水压力会上升，这凸显了适应性、弹性治理的紧迫性。该框架提供了一个强大的、可扩展的决策支持工具，用于确定干预措施的优先顺序、管理含水层补给以及数据稀缺、水文气候脆弱地区的政策制定。

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引用次数: 0

Early growth decline and vegetation change predict black spruce mortality following spruce budworm outbreaks 早期生长下降和植被变化预测在云杉芽虫爆发后黑云杉的死亡率

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

Ecological Indicators

Pub Date : 2026-01-20 DOI: 10.1016/j.ecolind.2026.114620

Bijay Pandeya , Martin P. Girardin , Kaysandra Waldron , Dominique Boucher , Daniel Kneeshaw , Annie Deslauriers

Tree mortality is accelerating across boreal forests due to increasing biotic disturbances, but the mechanisms linking defoliation, individual tree stress, and canopy decline remain poorly understood. In eastern Quebec, Canada, a spruce budworm (Choristoneura fumiferana (Clemens)) outbreak beginning in 2006 has severely defoliated black spruce (Picea mariana (Mill.) B.S.P.) forests. Yet, many trees were already in growth decline before the outbreak, raising concerns about dieback and long-term resilience under recurring disturbance. We combined tree-ring growth data from 378 black spruce trees (276 living, 102 dead) across 34 study plots with satellite-derived vegetation indices, Normalized Difference Vegetation Index (NDVI) and Normalized Burn Ratio (NBR) (the normalized difference of the Near Infrared and the Short-Wave Infrared bands)—spanning 1984–2022 to assess growth dynamics and canopy stress responses. Nearly all plots underwent severe defoliation; a factor positively associated with a high proportion of dead trees within the plots. Dead trees exhibited long-term, persistent growth decline prior to defoliation onset in 2009. After defoliation began, both live and dead trees showed similar patterns of reduced growth, with early cessation in dead trees. Logistic regression identified an early negative regime shift in tree-ring growth preceding defoliation as a strong predictor of tree mortality. Additionally, satellite data revealed that a 1% decrease in NBR corresponded to a 3% increase in mortality at the stand level. Our findings demonstrate that regime shifts in tree growth and vegetation indices predict mortality, offering a scalable approach for forest monitoring but also providing an early warning of tree mortality.

由于生物干扰的增加，北方森林树木的死亡率正在加速上升，但人们对落叶、树木个体压力和冠层下降之间的联系机制仍然知之甚少。在加拿大魁北克省东部，2006年开始爆发的云杉budworm （chriistoneura fumiferana (Clemens)）严重破坏了黑云杉（Picea mariana (Mill.)）的叶子。B.S.P.)森林。然而，在疫情爆发之前，许多树木的生长已经在下降，这引起了人们对枯死和在反复出现的干扰下的长期恢复能力的担忧。我们将34个研究样地378棵黑云杉（276棵活的，102棵死的）的年轮生长数据与卫星植被指数、归一化植被指数（NDVI）和归一化燃烧比（NBR）（近红外和短波红外波段的归一化差异）相结合，评估了1984-2022年黑云杉的生长动态和冠层应力响应。几乎所有的地块都经历了严重的落叶；该因子与地块内死树的高比例正相关。死树在2009年开始落叶之前表现出长期持续的生长下降。落叶开始后，活树和死树都表现出相似的生长减少模式，死树的生长提前停止。逻辑回归发现，树木年轮生长在落叶之前的早期负状态转变是树木死亡率的一个强有力的预测因子。此外，卫星数据显示，NBR每减少1%，林分水平的死亡率就会增加3%。我们的研究结果表明，树木生长和植被指数的变化可以预测死亡率，为森林监测提供了一种可扩展的方法，同时也提供了树木死亡率的早期预警。

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引用次数: 0

Assessing seasonal river-wetland connectivity using remote sensing-based monitoring in tropical environments 基于遥感监测的热带环境季节性河流-湿地连通性评估

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

Ecological Indicators

Pub Date : 2026-01-19 DOI: 10.1016/j.ecolind.2026.114624

Dylan J. Irvine , Kaline de Mello , Porni Mollick

Understanding the timing of river-floodplain wetland connection is critical for anticipating ecological risks, including aquatic fauna strandings. In the wet–dry tropics of northern Australia, these risks may intensify due to climate change and water extraction. We combined Sentinel-2-derived modified normalised difference water index (MNDWI), river stage, and rainfall data to monitor inundation dynamics and connectivity between the Daly River (Australia) and three permanent wetlands that act as refugia for aquatic species. We assess annual flood frequency (2018–2025), monthly inundated area, and their relationships with rainfall and river stage. Data gaps due to cloud cover were gap-filled using a random walk model with Kalman filtering and smoothing. Gap-filled MNDWI enabled the detection of spatiotemporal wetness patterns along transects connecting the wetland to the river. Results reveal large interannual variability in inundation, with 2018–2019 and 2019–2020 exhibiting low persistence and extent of flooding, while 2023–2024 showed widespread and prolonged inundation. Connectivity duration differed among transects (6–112 days). We identify stage thresholds (m) for disconnection as an indicator of river-wetland connectivity, with first disconnection dates varying between February–July, depending on the transect. We also derive three pixel-based hydrological indicators: first wetting day, last drying day, and seasonal duration of wet conditions (days yr⁻¹). The strength of relationships between inundation and predictors supports the use of these readily available datasets for forecasting disconnection timing. We provide a practical approach to inform aquatic biodiversity conservation planning measures that can be readily adapted to other floodplain systems.

了解河流与洪泛平原湿地连接的时间对于预测生态风险（包括水生动物搁浅）至关重要。在澳大利亚北部干湿热带地区，由于气候变化和水资源开采，这些风险可能会加剧。我们将sentinel -2衍生的修正归一化差水指数（MNDWI）、河流阶段和降雨数据结合起来，监测澳大利亚戴利河（Daly river）和三个作为水生物种避难所的永久湿地之间的淹没动态和连通性。我们评估了年洪水频率（2018-2025）、月淹没面积及其与降雨量和河流阶段的关系。利用卡尔曼滤波和平滑的随机游走模型来填补由于云层覆盖造成的数据缺口。空白填充的MNDWI能够检测连接湿地和河流的横断面的时空湿度模式。结果表明，洪水年际变化较大，2018-2019年和2019-2020年洪水持续时间和程度较低，而2023-2024年洪水持续时间较长。不同样带的连通性持续时间不同（6 ~ 112天）。我们确定了断流阶段阈值(m)作为河流-湿地连通性的指标，根据样带的不同，第一次断流日期在2月至7月之间变化。我们还得出了三个基于像素的水文指标：第一次湿润日、最后干燥日和潮湿条件的季节性持续时间（年- 1天）。洪水和预测者之间关系的强度支持使用这些现成的数据集来预测断流时间。我们提供了一种实用的方法，为水生生物多样性保护规划措施提供信息，这些措施可以很容易地适应其他洪泛平原系统。

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引用次数: 0

Identification of priority optimization areas and determination of optimal supply intervals for ecosystem services based on BBN and PPF-MRT 基于BBN和PPF-MRT的生态系统服务优先优化区域识别及最优供应区间确定

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

Ecological Indicators

Pub Date : 2026-01-19 DOI: 10.1016/j.ecolind.2026.114639

Qindong Fan , Pu Jia , Xiaoying Ping , Chenming Zhang , Guojie Wei

Urban fringe areas are the core zones where urbanization conflicts with ecological protection. Current optimization strategies often overlook the dynamic trade-offs and land-use specificity of ecosystem services (ES). Taking Henan Province as a case study, we first identified urban fringe areas using the Iso Cluster method. We then evaluated four ES—grain production (GP), carbon storage (CS), soil retention (SR), and water yield (WY)—using the InVEST model. On this basis, three key results were derived: (1) Prioritizing low-low cluster areas revealed that CS-SR and CS-WY clusters account for 21.6% and 26.2% of the total cluster area, making them optimization targets. (2) A Bayesian belief network (BBN) was combined with land-use scenarios to identify optimization zones for cropland and forest land. For example, in the cropland scenario, priority zones were concentrated in suburban and transitional areas. The CS-SR priority zone covered 1.73% of the total urban fringe area. In comparison, the CS-WY priority zone covered 10.23%. (3) Within the priority optimization areas, the PPF-MRT threshold methodology was developed, overcoming the limitations of traditional fixed-threshold approaches that cannot account for the multi-segmented and dynamic nature of threshold intervals. For example, in the cropland scenario, CS-WY exhibited multiple synergy intervals, with CS in the ranges of 442.76–451.03 t/ha and CS > 479.17 t/ha. This study presents a systematic framework for “spatial shortfall identification-land-use scenario optimization-dynamic threshold determination” in ecological governance of urban fringe areas. The framework offers practical guidance for the sustainable management of similar regions worldwide.

城市边缘区是城市化与生态保护冲突的核心区。当前的优化策略往往忽略了生态系统服务的动态权衡和土地利用特异性。以河南省为例，首次采用Iso聚类方法识别城市边缘区。然后，我们使用InVEST模型评估了四种es -粮食产量（GP）、碳储量（CS）、土壤保持率（SR）和产水量（WY）。在此基础上，得出了三个关键结果：(1)低-低集群区域优先排序结果表明，CS-SR和CS-WY集群分别占集群总面积的21.6%和26.2%，成为优化目标；(2)将贝叶斯信念网络（BBN）与土地利用情景相结合，确定耕地和林地的优化分区。例如，在农田情景中，优先区域集中在郊区和过渡地区。CS-SR优先地带覆盖了城市边缘总面积的1.73%。相比之下，CS-WY优先区覆盖率为10.23%。(3)在优先级优化领域，开发了PPF-MRT阈值方法，克服了传统固定阈值方法无法考虑阈值区间的多段性和动态性的局限性。例如，在农田场景下，CS- wy表现出多个协同区间，CS在442.76 ~ 451.03 t/ha和CS >； 479.17 t/ha之间。提出了城市边缘区生态治理“空间缺口识别-土地利用情景优化-动态阈值确定”的系统框架。该框架为全世界类似区域的可持续管理提供了实际指导。

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引用次数: 0

Nature-based solutions and urban biodiversity conservation in the Global South 南半球基于自然的解决方案和城市生物多样性保护

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

Ecological Indicators

Pub Date : 2026-01-19 DOI: 10.1016/j.ecolind.2026.114627

Ravi Jambhekar , Ryan Satish , Swarnika Sharma , Gayatri Bakhale , Priya Ranganathan , Dilip G.T. Naidu , Kadambari Deshpande , Jagdish Krishnaswamy

Urban areas face significant environmental challenges, requiring integrated solutions. As urbanization increasingly impacts biodiversity, cities must contribute to its conservation as per global goals. Nature-based Solutions (NbS) are widely adopted to tackle urban challenges. However, evidence for their success in urban biodiversity conservation remains weak. Although NbS are defined by using native biodiversity for net ecosystem services benefits, many NbS projects feature exotic and invasive species. We conducted a systematic literature review and qualitative synthesis, following PRISMA guidelines, on 67 studies published in English (2013-2023) from the Global South to assess urban NbS biodiversity outcomes across 83 unique cities. Only 55 studies evaluated biodiversity outcomes, with just 43% identifying specific flora or fauna. The NbS types included blue-green infrastructure, urban green spaces, urban forests (each 22%), and green roofs (18%). Our analysis revealed a critical methodological inadequacy: measuring biodiversity co-benefits with pre- and post-implementation data or evidence was rare. Crucially, not one study included necessary baseline assessments to effectively measure biodiversity gains. Furthermore, native biodiversity, mentioned as a co-benefit, was often poorly described. Through our systematic literature review, we found 27 studies mentioning use or presence native species and 16 studies mentioning exotic species in the NbS implemented. We found that including an ecologist in the author teams positively influenced the reporting of specific species (p<0.05). In the absence of robust data, our ability to integrate NbS into global conservation goals is weakened. Our synthesis highlights key gaps, best-practices and recommendations to strengthen native biodiversity considerations in NbS in the global south.

城市地区面临着重大的环境挑战，需要综合解决方案。随着城市化对生物多样性的影响越来越大，城市必须按照全球目标为保护生物多样性做出贡献。基于自然的解决方案（NbS）被广泛采用来应对城市挑战。然而，它们在城市生物多样性保护方面取得成功的证据仍然薄弱。虽然国家生物多样性是通过利用本地生物多样性来实现净生态系统服务效益来定义的，但许多国家生物多样性项目都以外来和入侵物种为特征。我们根据PRISMA指南，对全球南方国家发表的67篇英文研究（2013-2023年）进行了系统的文献综述和定性综合，以评估83个独特城市的城市NbS生物多样性结果。只有55项研究评估了生物多样性的结果，只有43%的研究确定了特定的动植物群。NbS类型包括蓝绿色基础设施、城市绿地、城市森林（各占22%）和绿色屋顶（18%）。我们的分析揭示了一个关键的方法上的不足：用实施前后的数据或证据来衡量生物多样性的共同效益是罕见的。关键是，没有一项研究包括必要的基线评估，以有效衡量生物多样性的增加。此外，作为共同利益而被提及的本地生物多样性往往被描述得很差。通过系统的文献综述，我们发现已有27项研究提到了利用或存在的本地物种，16项研究提到了外来物种。我们发现，在作者团队中加入生态学家对特定物种的报告有积极影响（p<0.05）。在缺乏可靠数据的情况下，我们将国家统计局纳入全球保护目标的能力被削弱了。我们的综合强调了主要差距、最佳实践和建议，以加强全球南方国家统计局对本地生物多样性的考虑。

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引用次数: 0