Search Results (339)

Sudden tailings dam breaches trigger large-scale heavy metal compound pollution in coupled surface water–groundwater systems, requiring systematic full-cycle ecological damage quantification tools applicable to diverse contamination types. This study constructs an integrated full-cycle ecological damage assessment framework for sudden water pollution accidents, integrating three core modules: multi-model pollutant migration prediction, multi-scale aquatic biological damage diagnosis, and three-dimensional ecological-economic loss accounting. The framework adopts a modular design that can potentially accommodate heavy metals (Cd, Cr, As, Pb) and organic pollutants such as polycyclic aromatic hydrocarbons (PAHs), with standardized molecular, individual, and population-level biological endpoints and corresponding pollutant dose–response templates reserved as reference calculation modules. However, applicability beyond this case has not been validated and requires case-specific calibration. To verify the operability and accuracy of the proposed integrated system, a typical tailings dam leakage incident dominated by hexavalent chromium (Cr(VI)) and arsenic (As) pollution was selected as the practical validation case; all field monitoring, pollutant simulation, and final economic loss quantification in this case exclusively rely on on-site measured Cr(VI) and As data, while Cd and PAH-related biological response curves and remediation cost formulas retained in the manuscript only serve as illustrative universal template components of the framework rather than case-measured results. For the Cr(VI)/As pollution case, the advection–diffusion model simulation revealed that the Cr(VI) contamination plume horizontally spread 250 m within 48 h and extended to 560 m after seven days, and anaerobic groundwater environments drove the transformation of toxic mobile trivalent arsenic (As(III)) from primary pentavalent arsenic. The calibrated SWAT model achieved Nash–Sutcliffe efficiency (NSE) coefficients of 0.75 for dissolved Cr(VI) and 0.68 for particulate As. The graph theory-based rapid prediction model cut computation duration down to minutes; when validated against independent field monitoring data, it yielded an average relative error of 14.2%, and its consistency with the SWAT model reached 10.5% relative deviation, satisfying the accuracy requirement for emergency early warning. Field biological monitoring demonstrated substantial ecological impairment: metallothionein (MT) expression in fish tissues was markedly elevated (the reported 6.2-fold induction value derives from standard Cd exposure template tests within the framework, with analogous MT upregulation also observed for field Cr(VI)/As co-stress), and benthic community Shannon diversity declined by over 50% in polluted river reaches. The standardized Ecological Damage Index (EDI) of the case was calculated as 480.2, indicating severe aquatic ecosystem damage, with total comprehensive ecological and economic losses reaching 17.25 million CNY. This study innovatively couples high-precision physical transport models with fast emergency prediction algorithms and establishes a complete multi-tier biological indicator chain linking molecular biomarkers to community integrity metrics; the three-dimensional loss accounting system integrating ecosystem service impairment, restoration expenditure, and post-pollution recovery loss realizes closed-loop full-cycle damage evaluation. The proposed framework, demonstrated for Cr(VI) and As pollution, has a modular design that may potentially be extended to other pollutants such as Cd and PAHs by adjusting model parameters, providing a quantitative reference for emergency disposal, pollution remediation, and ecological compensation of water contamination accidents, although further validation across different pollutants and hydrological settings is required. Full article

Land consolidation (LC) is increasingly expected to support food security, ecological restoration, rural development, and climate mitigation, yet evidence on its carbon effects remains fragmented across engineering, ecological, spatial, and governance research. This review combines bibliometric mapping with structured evidence synthesis of 355 records from WoS and CNKI to examine knowledge evolution, analytical paradigms, and their integration. The field has expanded from component-based assessments of construction emissions, soil carbon, and land-cover change toward life-cycle accounting, carbon fractions, ecosystem-service interactions, spatial optimization, and policy evaluation. WoS-indexed and Chinese-language literature show distinct but increasingly convergent orientations shaped by differences in intervention contexts, disciplinary traditions, analytical scales, and available evidence. Four complementary paradigms are identified: carbon accounting, biogeochemical processes, spatial land systems, and decision support and governance. Together, these paradigms reveal interconnected carbon pathways but remain constrained by inconsistent accounting boundaries, weak process–scale–time linkages, and limited integration with land-governance decisions. Future research should therefore advance standardized life-cycle and multi-scale accounting, mechanism-based assessment of long-term carbon and ecosystem-service dynamics, and digitally and institutionally enabled low-carbon governance. Full article

Recreational fisheries contribute significantly to global economies through tourism, employment, and ecosystem service valorization. However, a systematic understanding of their economic magnitude and regional disparities remains fragmented. This study conducts a systematic review of 112 peer-reviewed articles published between 1991 and 2024, synthesizing the economic evidence across three key domains: consumer behavior, resource management, and ecological interactions. Consistent with previous research, our systematic synthesis documents a pronounced imbalance in the existing evidence base: studies from high-income countries more frequently report established management frameworks (e.g., bag limits, catch-per-unit-effort monitoring) and robust economic valuation mechanisms (e.g., Willingness to Pay estimation), whereas low- and middle-income countries face significant barriers in infrastructure and resource quantification. We identify that non-market valuation methods, particularly the travel cost method and consumer surplus analysis, are critical for internalizing the environmental value of fisheries. Furthermore, while ecological restoration demonstrates clear positive feedback loops for local economies, the sector exhibits high vulnerability to external shocks, such as the COVID-19 pandemic. This review highlights the urgent need to bridge the data gap in developing regions and suggests that transferring successful adaptive management models from developed nations is essential for achieving equitable and sustainable growth in the global recreational fishery economy. Full article

Wetlands have been noted to provide us with a wide range of ecosystem services—climate, water quality, flood regulation, and habitat benefits among others. The evidence that supports these service benefits is fairly well documented in the literature. However, it is often scattered across studies, metrics, and valuation methods, making it difficult for planners and landscape architects to use in physical projects and plans. The empirical result of this difficulty is that wetlands are often overlooked and under-utilized as part of broader ecosystem and land based planning solution sets. This paper addresses this usability deficiency using an ecosystem accounting framework that translates wetland science into spatially specific design and planning metrics. The framework follows the System of Environmental-Economic Accounting-Ecosystem Accounting (SEEA EA), an international statistical framework adopted by the UN to measure the environment’s contribution to the economy and human well-being. In our study, wetland extents in the state of Illinois are mapped on a statewide 30 m × 30 m grid. Individual wetland system conditions are estimated from floristic quality using a generalized additive model trained on 244 wetland sites that are part of the long-term Critical Trends Assessment Program (CTAP) at the Illinois Department of Natural Resources (IDNR). A floristic condition scalar, $w\left(x\right)$, provides a screening-level measure of ecological condition. It is applied only to a nonmonetary habitat-condition account and is not used to scale the monetary service accounts. Climate regulation, water purification, and flood regulation are quantified through service-specific physical models and reported as carbon-price and replacement-cost proxies. Under the central scenarios, these three monetary proxy accounts produce a combined subtotal of USD 1408.6 million per year. The annualized surface-storage replacement-cost scenario accounts for USD 1048.5 million, load-gated nitrogen-removal replacement cost for USD 338.0 million, and the climate-regulation carbon-price proxy for USD 22.1 million. These estimates are planning proxies rather than observed market benefits or realized avoided damages. The separate habitat-condition account totals 198,280 condition-weighted hectares, with a statewide mean $w\left(x\right)$ of 0.502, and is not added to the monetary subtotal. Climate performance varies across wetland types: methane emissions cause some emergent wetland categories to function as net greenhouse-gas sources under the central assumptions, while other categories remain net sinks. A protection-gap analysis shows that Tier 4 wetlands contain 70.1% of the classified vegetated-wetland area and 67.0% of the condition-weighted habitat area within the classified domain. Broadly, the framework demonstrates how ecosystem accounting can translate fragmented wetland evidence into consistent spatial metrics for planning. The resulting layers support statewide screening, comparison among wetland categories, conservation and restoration screening, and protection-gap analysis while preserving the distinction between monetary service proxies and nonmonetary ecological condition. Full article

Nature-based Solutions (NbS) are increasingly recognised as effective approaches for enhancing coastal resilience while simultaneously supporting biodiversity, ecosystem services, and, where appropriate, climate-change mitigation. Their importance is particularly evident in the Mediterranean Basin, a climate-change hotspot exposed to sea-level rise, coastal erosion, land subsidence, sediment deficits, and intense anthropogenic pressures. This review provides a structured evidence synthesis of NbS for Mediterranean coastal adaptation, integrating ecological, hydrodynamic, geomorphological, biodiversity, governance, and implementation perspectives. We examine the principal NbS typologies, including vegetated habitats, biogenic reefs, sediment-based interventions, and hybrid approaches, with particular attention to vulnerable microtidal systems such as coastal lagoons and subsiding shorelines, including the Venice Lagoon and the Emilia-Romagna coast. Drawing on peer-reviewed literature together with evidence from European LIFE projects and restoration initiatives, the review highlights how process-based interventions can restore ecosystem functioning, strengthen coastal resilience, and provide multiple ecosystem services. At the same time, the analysis emphasises that NbS are inherently context-dependent, with their effectiveness influenced by local geomorphology, sediment availability, hydrodynamic conditions, governance capacity, and long-term management. Although important scientific uncertainties remain, wider implementation is increasingly constrained by economic, institutional, and governance barriers. The review concludes that NbS should not be regarded as stand-alone alternatives to conventional engineering, but as key components of integrated and adaptive hybrid coastal management strategies capable of supporting resilient Mediterranean coastal systems under future climate change. Full article

Climate change and wildfire are often treated as separate policy problems, although their costs and ecological consequences converge in fire-prone landscapes. This critical integrative review examines the evidence requirements that connect Mediterranean wildfire-risk governance, restoration, biomass use, carbon accounting, ecosystem services, public procurement and professional capacity. A purposive, theme-based synthesis combines peer-reviewed research, international standards, European Union assessments and audit reports, and Greek implementation documents; Greece is used as a policy case within a wider Mediterranean evidence base. Building on the living- and green-infrastructure literature, this review treats forests as living public infrastructure: dynamic systems whose public functions depend on maintenance, ecological limits and repeated verification. It distinguishes evidence synthesis from policy recommendation and evaluates recurrent shortcuts such as unmaintained fuel continuity, tree planting without diagnosis, carbon dioxide equivalent (CO₂e) claims without credible baselines or permanence strategies, and monitoring platforms without field validation. The resulting framework links risk diagnosis, prioritised intervention, field measurement, integrity gates and public audit. Its scientific contribution is to specify a common evidence chain through which prevention, restoration and climate claims can be compared and tested rather than accepted as activity counts or communication outputs. Full article

The increasing integration of ecosystem services (ES) into environmental and agricultural policies creates the need for operational approaches linking ecosystem service assessment with territorial planning and incentive design. This study develops a functional–territorial typology of ES provision for mainland Portugal based on the assessment of 26 ecosystem services derived from the Common International Classification of Ecosystem Services (CICES v5.2) across 278 municipalities. Territorial clusters were identified using provisioning and regulating ES, while cultural ES were subsequently incorporated into functional bundles and territorial–functional analyses. The analysis identified three functional ES bundles and six territorial socio-ecological regimes representing distinct patterns of ES provision. Functional bundle identification proved highly robust, with 92.3% of ES retaining the same bundle assignment across alternative correlation thresholds. A sensitivity analysis including cultural ES confirmed the stability of the main territorial regimes. Between 70% and 86% of municipalities remained within the same territorial group, while most reclassifications occurred near the boundaries between neighbouring regimes, indicating local refinements rather than changes in the overall territorial organization. Cross-analysis showed that territorial regimes differ systematically in ES configurations, baseline conditions, and patterns of synergies and trade-offs, indicating that additionality is inherently territorial and cannot be adequately interpreted using uniform baselines. Building on these findings, we propose a framework of territorially differentiated Ecosystem Service Provision Units (UPSE) incorporating variations in ES configurations and additionality potential across socio-ecological contexts. The framework provides a methodological basis for more context-sensitive ES incentives, restoration strategies, and environmental policy instruments. Full article

Under the combined impacts of climate change and intensified human activities in coastal zones, mangrove ecosystems are increasingly exposed to degradation, fragmentation, and declines in ecological functions. It is therefore important to systematically examine the progress and evolution of the research hotspots in remote sensing monitoring of mangroves. In this study, 942 publications on mangrove remote sensing monitoring from 2000 to 2025 were retrieved from the China National Knowledge Infrastructure (CNKI) and the Web of Science Core Collection, comprising 485 CNKI records and 457 Web of Science records. CiteSpace 6.4.R2 was used to conduct bibliometric and knowledge-mapping analyses of publication trends, geographic distribution, author collaboration networks, keyword co-occurrence, keyword cluster timelines, and burst keywords. The results show that research on mangrove remote sensing monitoring generally increased over time, with marked growth after 2015. Research topics gradually shifted from early studies on mangrove distribution mapping, land-use change, and image classification to multi-source remote sensing applications, change detection, biomass estimation, blue carbon assessment, and machine learning- and deep learning-based methods. Author collaboration networks provide a descriptive overview of collaboration patterns and suggest that cross-team and cross-regional collaboration still needs to be strengthened. Keyword co-occurrence, cluster timeline, and burst keyword results indicate that remote sensing monitoring, machine learning, deep learning, random forest, support vector machine, object-based image analysis, ALOS PALSAR, ALOS-2 PALSAR-2, blue carbon, carbon stock, aboveground biomass, ecosystem services, and forest degradation are important themes in this field. Future research should further strengthen multi-source remote sensing data integration, cross-regional validation of intelligent algorithms, degradation monitoring indicator systems, uncertainty assessment, and long-term time-series analysis. These efforts will improve the accuracy, comparability, and management applicability of mangrove remote sensing monitoring and provide scientific support for coastal ecological conservation, mangrove restoration, and blue carbon governance. Full article

Mangrove forests provide essential ecosystem services but are increasingly threatened by anthropogenic pressures and climate-related disturbances. Effective and accessible tools for assessing mangrove ecosystem condition are therefore needed to soundly support their conservation and management. This study adapted the “Coastal Health” framework originally proposed for assessing coastal ecosystems health to evaluate the health status of mangrove forests along the Caribbean coast of Colombia. Using freely available high-resolution imagery from Google Earth Pro 7.3, complemented by field observations, technical reports, and unpublished literature, 56 mangrove sites distributed across eight coastal departments were assessed according to their ecological integrity, hydrological connectivity, sediment dynamics, freshwater and marine inputs, mangrove species condition, and their potential for landward and seaward migration. The results showed that 54% of the evaluated sites were classified as being in “Good Health”, while 2% were categorized as “Health Warning”, 3% as “Surface Wounds”, 14% as “Minor Injury”, 25% as “Major Injury”, and 2% as “Deceased”. Mangroves in good condition were generally associated with protected areas, river mouths, estuaries, and relatively isolated coastal systems, whereas degraded ecosystems were affected by urban expansion, tourism infrastructure, hydrological alterations, coastal engineering works, and reduced freshwater inputs. The proposed methodology proved to be a simple, low-cost, and easily replicable tool for large-scale mangrove health assessment. It provides valuable information for prioritizing conservation and restoration actions and can be adapted to support mangrove monitoring and ecosystem-based coastal management in other regions worldwide. Full article

The middle reaches of the Yellow River Basin are ecologically fragile and face increasing tension between ecological restoration and socioeconomic development. This study developed an integrated risk-service framework to assess spatiotemporal ecological security, identify dominant drivers, and support zoning-based management. A Comprehensive Ecological Security Index combining landscape ecological risk with four InVEST-derived ecosystem services showed a steady improvement from 2000 to 2025, especially after 2010. Higher ecological security was mainly concentrated in the southern and southeastern mountainous areas, whereas lower values persisted in the central plains and northern semi-arid areas. The index showed significant positive spatial autocorrelation (Moran’s I = 0.413–0.474, p < 0.001). Forest coverage was the strongest driver (q = 0.504), with a threshold effect at 40–50% coverage. ${\mathrm{P}\mathrm{M}}_{2.5}$ concentration and population density had negative effects, and most driver interactions showed nonlinear enhancement. Five ecological security zones were identified for differentiated management. The proposed framework links ecological risk, ecosystem service capacity, interpretable machine learning, and zoning-based governance. It provides a transferable approach for ecological security assessment and spatial management in the Middle Yellow River Basin and comparable dryland watersheds. Full article

Rapid urbanization has intensified ecosystem service supply–demand mismatches, severely constraining regional sustainable development. Ecological security patterns represent a critical strategy to address these challenges, yet existing studies predominantly focus on natural supply while neglecting human ecological demands. This study develops an integrated framework combining XGBoost machine learning and ecological network theory to assess and optimize ecological security patterns from a supply–demand perspective, using the Chengdu–Chongqing Urban Agglomeration in the upper Yangtze River Basin as a case study. Results reveal a distinct spatial pattern of “high supply in peripheries and high demand in urban cores”. Ecological demand sources and corridors have experienced explosive growth, expanding significantly faster than supply components. While the ecological supply–demand network has become more structurally complex with improved structural connectivity overall, the supply–demand balance has progressively deteriorated. Targeted optimization through supplementing key ecological sources and refining network structure enhanced connectivity by 136.46% and improved supply–demand balance by 35.4%. A “three zones, four corridors, six nodes” optimization scheme is proposed. This research provides valuable insights for mitigating ecological conflicts in rapidly urbanizing regions and informs evidence-based decision-making for territorial ecological restoration and public policy design to balance conservation and socioeconomic development. Full article

As a key pathway to address climate change and biodiversity loss, and to promote sustainable development, Nature-based Solutions (NbS) have increasingly emerged as a vital theoretical framework and practical tool in global environmental governance. This study provides a comprehensive overview of the primary categories of NbS, including ecological restoration approaches, issue-specific ecosystem-related approaches, infrastructure-related approaches, ecosystem protection approaches, and ecosystem-based management approaches. It also reviews the many ecological, social, and economic benefits generated by NbS practices globally and in China, such as enhanced carbon sequestration, disaster risk reduction, water purification, livelihood improvement, and increased tourism revenue. The findings highlight that the effectiveness of NbS is influenced by a variety of factors, including climatic conditions, spatial patterns, socio-economic contexts, and governance capacity. In addition, the delayed ecological responses and potential trade-offs among ecosystem services present challenges for the long-term implementation and upscaling of NbS. To improve the scientific rigor and applicability of NbS, future efforts should focus on long-term ecological monitoring and dynamic evaluation, developing integrated performance assessment frameworks, and strengthening the integration of local knowledge with supportive policy mechanisms. This review offers theoretical insights and practical guidance for enhancing the implementation of NbS in ecosystem management and policy-making. Full article

The reconstruction of vegetation in opencast mining areas constitutes an intricate process of ecological restoration within human-altered systems. A systematic characterization of the multi-dimensional synergistic successional pathways—encompassing morphology, structure, and function—and the corresponding delineation of key recovery phases holds significant potential to inform and refine land reclamation strategies. This study took the southern dump of the Antaibao Coal Mine within the Pingshuo mining area on the Loess Plateau as the study area. Using the Google Earth Engine (GEE) platform, time series Landsat remote sensing images from 1990 to 2023 were processed to derive three indicators representing vegetation coverage morphology, landscape pattern structure, and ecosystem service function: Vegetation Fractional Coverage (VFC), Mining Landscape Restoration Index (MLRI), and Remote Sensing Ecological Index (RSEI). A Reconstructed vegetation Restoration Comprehensive Index (RRCI) was established through the multi-dimensional collaborative analysis of morphology–structure–function. Based on the long-term evolutionary sequence of RRCI, the S-logistic growth curve model was employed for nonlinear fitting, and critical restoration stages of reconstructed vegetation were quantitatively delineated using preset threshold rules. The results demonstrate that time series RRCI data of the screened sample plots effectively characterize the spatiotemporal restoration dynamics of reconstructed vegetation, with a high model goodness of fit (R² > 0.7). In accordance with the criteria for delineating critical stages of reconstructed vegetation restoration, the average durations of the accelerated development period, consolidation development period, and overall recovery development period of reconstructed vegetation in the study area are 5.09 years, 4.64 years, and 9.73 years, respectively. Significant differences exist in the accelerated development period and overall recovery development period between arbor forest lands and arbor shrub forest lands (p < 0.05), and the time required for vegetation restoration at each stage is longer in arbor forest lands than in arbor shrub forest lands. This study constructs a multi-dimensionally collaborative RRCI and quantifies critical stages of reconstructed vegetation evolution, which is of great significance for promoting the sustainable evolution and dynamic management of reconstructed vegetation in opencast mining areas. Full article

While terrestrial carbon storage is vital for achieving global carbon neutrality, its spatiotemporal evolution in ecologically fragile regions—such as the Pisha sandstone area—is complicated by intense erosion and complex environmental drivers. Widely known as the Pisha sandstone area, often referred to as the “Earth’s ecological cancer” due to its unique geological instability (“hard as rock when dry, soft as mud when wet”), this area is a critical but vulnerable carbon sink in the Yellow River Basin. This study aims to clarify these dynamics and identify their non-linear driving mechanisms by integrating a coupled PLUS–InVEST model with an XGBoost–SHAP framework to simulate land-use cover change and quantify carbon sequestration potential from 1990 to 2040. Our results reveal: (1) a robust path dependence in land use, where grassland remained the dominant landscape matrix (>75%), which partly explains the stable regional carbon-stock structure and the moderate FoM value of the PLUS validation; (2) carbon storage followed a fluctuating but overall increasing trajectory, projected to reach a peak of 3.19 × 10⁵ tC by 2040 under the Ecological Conservation Scenario (ECS), which significantly outperforms the economic-driven and natural growth modes; (3) hot spot analysis showed that statistically notable low-carbon cold spots were concentrated mainly along valley corridors, marginal transition zones, and locally disturbed patches, whereas high-carbon hot spots were spatially limited; and, (4) crucially, XGBoost–SHAP results should be interpreted as model-based associations rather than direct causal proof; the whole-region model and the regional models jointly suggest that topography, water availability, socioeconomic pressure, and erosion-related factors contribute differently across bare, loess-covered, and sand-covered Pisha sandstone units. These findings support differentiated land-use and restoration strategies rather than uniform regional management. The findings suggest that future management in the Pisha sandstone area should transition from general restoration toward targeted and differentiated regulation to improve regional ecosystem services. Full article

Projecting the spatiotemporal dynamics of the potential distribution of dominant species under climate change is essential for desertification control and vegetation restoration in drylands. Here, we modeled the current (1970–2000) and future (2080–2100) suitable habitats of Caragana korshinskii Kom, an ecologically important shrub species in northwestern China, by constructing an ensemble of eight species distribution models on the Biomod2 platform using three CMIP6 Shared Socioeconomic Pathways (SSP126, SSP370, SSP585) and 40 environmental variables representing climate, soil, topography and drought conditions. Key environmental drivers were identified through variable importance ranking and response curves, while area changes, spatial patterns, and centroid shifts in suitable habitats were quantified. The ensemble model demonstrated good to excellent predictive performance (mean AUC > 0.9, mean TSS > 0.5). Soil base saturation (t-bs) and soil moisture contributed the most (>38%), highlighting the dominant role of edaphic factors. The current total suitable habitat of C. korshinskii is approximately 182.2 × 10⁴ km², with all future scenarios projecting a consistent decline. Under SSP585, habitat loss reached 9.8% with contraction (30.5 × 10⁴ km²) far exceeding expansion (12.6 × 10⁴ km²). The distribution centroid shifted markedly eastward with a minor southward fluctuation, establishing the Ordos–Bayannur region as a stable core habitat. Overall, our findings suggest that the distribution of C. korshinskii is strongly constrained by edaphic and moisture conditions, and future contraction of marginal habitats may compromise ecosystem services. Full article