Environmental Monitoring and Assessment最新文献

{"title":"Water quality assessment using sediment analysis and Sentinel-3-derived bio-optical variables in Lagoa da Conceição, Brazil","authors":"Alcindo Neckel,&nbsp;Affonso Celso Gonçalves Jr,&nbsp;Giana Mores,&nbsp;Guilherme Peterle Schmitz,&nbsp;Brian William Bodah,&nbsp;Steferson Luiz Stares,&nbsp;Emanuelle Goellner","doi":"10.1007/s10661-026-15991-x","DOIUrl":"10.1007/s10661-026-15991-x","url":null,"abstract":"<div><p>Growing anthropogenic pressure on aquatic environments has intensified processes of water quality degradation; compromising ecosystems, the health and wellness of populations that depend on natural resources, and associated economic activities. This study aims to assess the water quality of Lagoa da Conceição, in Florianópolis, SC, Brazil, through two distinct and complementary approaches; the evaluation of potentially toxic chemical elements in nanoparticles (NPs) and ultrafine particles present in aquatic sediments collected between 2024 and 2025, and the analysis of the variables chlorophyll-a (CHL), total suspended matter (TSM), and absorption of dissolved organic matter at 443 nm (ADG443), obtained from Sentinel-3A/B OLCI satellite imagery between 2019 and 2025. Methodologically, aquatic sediments were collected at 18 sites across Lagoa da Conceição for the analysis of NPs and ultrafine particles. In parallel, the CHL, TSM, and ADG443 variables were retrieved from Sentinel-3A/B satellite imagery at 153 points processed in the Sentinel Application Platform (SNAP), with the resulting data subjected to K-means clustering and robust ANOVA to identify geospatial patterns. As a result, sediment analyses identified iron (Fe) nanoparticles containing up to 60% carbon, frequently associated with chromium (Cr), nickel (Ni), vanadium (V), zinc (Zn), and zirconium (Zr), in addition to the presence of plastic nanoparticles. Concurrently, the bio-optical variables of the water column exhibited elevated values of CHL (7.187 mg/m³), TSM (17.213 g/m³), and ADG443 (5.555 m⁻¹) over the 2019–2025 period. The geospatial patterns obtained through K-means clustering revealed moderate-to-high concentrations of these indicators within the interior of Lagoa da Conceição and significantly lower values in the adjacent coastal areas. Taken together, these two distinct and complementary approaches provided evidence of water quality degradation in the study area.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"198 11","pages":""},"PeriodicalIF":3.6,"publicationDate":"2026-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149098579","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Spatiotemporal characteristics of ozone and PM2.5 pollution in Jilin City: insights from observations in 2020 and 2023","authors":"Anees Akhtar,&nbsp;Chunsheng Fang,&nbsp;Ju Wang,&nbsp;Arshad Abbasi,&nbsp;Usman Basharat","doi":"10.1007/s10661-026-15929-3","DOIUrl":"10.1007/s10661-026-15929-3","url":null,"abstract":"<div><p>Ground-level ozone (O₃) and fine particulate matter (PM_2.5) remain central air quality challenges in China. Still, most evidence comes from national, regional, or megacity-scale studies, leaving medium-sized industrial cities in Northeast China poorly resolved. In Jilin City, where petrochemical, transport, and energy-related emissions interact with complex terrain and warm season meteorology, the coupled behavior of O₃ and PM_2.5 requires clearer diagnosis. This study aimed to quantify the spatiotemporal variability, meteorological sensitivity, and first-order attribution of warm season O₃ and PM_2.5 during the COVID-19 low-emission baseline and post-pandemic recovery period. We hypothesized that O₃ and PM_2.5 would respond through decoupled mechanisms—with O₃ showing stronger meteorological sensitivity, while PM_2.5 was only weakly explained by the selected meteorological predictors—a pattern that is statistically consistent with, but not directly attributable to, emission changes, given the study design. Using 3-km WRF–CMAQ simulations, surface observations, correlation analysis, multiple linear regression, and meteorological normalization, we compared May–July pollution patterns between 2020 and 2023. Model evaluation showed acceptable performance for meteorological variables and PM_2.5 but systematic underestimation of O₃, indicating uncertainty in the absolute magnitude of simulated O₃. Observed O₃ increased in May and June but declined slightly in July, with persistent hotspots in Panshi, whereas PM_2.5 increased in May, changed little in June, and declined markedly in July, while remaining relatively elevated in Huadian, Chuanying, and Jiaohe. District-level anomaly and decomposition analyses further indicated a uniform increase in May O₃, heterogeneous June responses, and clearer pollutant-specific response patterns across urban and periurban districts. Meteorological predictors explained approximately 35% of O₃ variability, dominated by temperature, but &lt; 1% of PM_2.5 variability; therefore, PM_2.5 driver interpretation should be treated qualitatively. Normalization suggested a meteorologically associated May O₃ enhancement and an unexplained residual June O₃ enhancement, highlighting O₃–PM_2.5 decoupling; however, because both meteorology and emissions changed simultaneously between the two simulation years, these signals reflect associations rather than controlled causal attribution.</p><h3>Graphical abstract</h3>\u0000<div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"198 11","pages":""},"PeriodicalIF":3.6,"publicationDate":"2026-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149098337","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Integrated assessment of road and maritime traffic impacts on urban air quality and noise in a port-city environment","authors":"Luka Vukić,&nbsp;Anđela Bratić,&nbsp;Vjekoslav Mario Dragun","doi":"10.1007/s10661-026-15986-8","DOIUrl":"10.1007/s10661-026-15986-8","url":null,"abstract":"<div><p>Urban environments, particularly port cities, are exposed to overlapping environmental pressures from road and maritime transport. This study evaluates air quality and noise across ten monitoring locations in Split (Croatia), using short-duration field measurements collected between April and September 2024. A total of 154 port and 66 road observations were analysed for PM_2.5, PM₁₀, CO, and traffic intensity, while environmental noise was additionally measured only in the road corridor and supported by meteorological variables used for interpretation of results. Mean PM_2.5 and PM₁₀ concentrations were higher in the port area (14.77 and 18.25 µg/m³) than in the road corridor (11.64 and 14.70 µg/m³), while mean CO was higher in the road corridor (5.20 versus 2.91 ppm). However, sampling-occasion comparisons were not statistically significant (<i>p = </i>0.218, 0.227, and 0.505, respectively). Vessel count showed a statistically significant but weak association with PM₁₀ (R² = 0.082, <i>p &lt;</i> 0.001), while vehicle count was moderately associated with maximum road-noise levels (R² = 0.236, <i>p &lt;</i> 0.001). In cluster-robust multivariable models, vessel count remained positively associated with port PM_2.5 and PM₁₀ (<i>p &lt;</i> 0.001), while higher wind speed was associated with lower particulate concentrations. The estimated coarse particle fraction was similar between environments. The results indicate overlapping rather than uniquely attributable transport-source effects and demonstrate the potential utility of low-cost sensors for comparative, screening-level environmental monitoring in port-city environments.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"198 11","pages":""},"PeriodicalIF":3.6,"publicationDate":"2026-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149098336","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Trace-metal contamination and ecological risk assessment in surface sediments of Adabiya Port, Gulf of Suez: spatial distribution, source apportionment, and baseline characterization","authors":"Ibrahem M. Abdallah,&nbsp;Mahmoud A. Dar,&nbsp;Farouk A. Soliman,&nbsp;Ahmed R. Algendy","doi":"10.1007/s10661-026-15943-5","DOIUrl":"10.1007/s10661-026-15943-5","url":null,"abstract":"<div><p>Adabiya Port is a strategically important maritime and industrial facility in the northern Gulf of Suez, supporting intensive shipping, cargo handling, and shipyard operations. This study provides the first baseline characterization of trace-metal contamination in its surface sediments. Twenty-four sediment samples (upper 10 cm) were collected in a single campaign and analyzed for eight potentially toxic elements (PTEs: Fe, Mn, Zn, Cu, Ni, Pb, Cd, Co) together with grain size, total organic matter (TOM), and CaCO₃. Contamination indices (CF, <i>I</i>_geo, EF), the potential ecological risk index (PERI), and multivariate tools (PCA, hierarchical clustering, and APCS-MLR receptor modelling) were combined to distinguish anthropogenic from geogenic signatures. Spatial heterogeneity was pronounced, with hotspots in the northern and central sectors. Zn, Pb, and Cd were elevated above shale background (up to 10.2×, 9.0×, and 11.7×, respectively), whereas lithogenic elements (Fe, Mn, Ni, Co) remained near background. Cd was the priority element, showing significant enrichment (EF up to 10.9) and the highest individual risk (<i>E</i>_r &gt; 80 at 14 stations; <i>E</i>_r &gt; 320 at one station). The PLI exceeded unity at 75% of stations, while PERI indicated low risk at 75%, moderate at 17%, and high at 8% of stations. APCS-MLR apportioned 56–77% of Zn, Pb, and Cd to an anthropogenic source and 75–85% of Fe, Mn, Ni, and Co to a lithogenic source, indicating that maritime activities and industrial effluents are the principal drivers. These data establish an essential baseline for monitoring and management in the Gulf of Suez.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"198 10","pages":""},"PeriodicalIF":3.6,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149102542","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Trace metal elements accumulation in roadside ecosystems using Fraxinus excelsior L. as a bioindicator species","authors":"Leila Sahli,&nbsp;Mohamed Charaf Eddine Derouaz,&nbsp;Med El Mahdi Benguedouar,&nbsp;Lina Kamelia Sahnoune,&nbsp;Kamel Eddine Bazri,&nbsp;Manel Djaafarou,&nbsp;Wafa Saoud","doi":"10.1007/s10661-026-15957-z","DOIUrl":"10.1007/s10661-026-15957-z","url":null,"abstract":"<div><p>Air pollution from road traffic is a major source of trace metal elements (TMEs) in urban areas worldwide, affecting both developing and developed countries. This study investigated Cd, Cu, Cr, Pb and Zn in surface soils, leaves and bark of <i>Fraxinus excelsior</i> L. along roadsides in Constantine city (NE Algeria), to assess the potential of this species as a biomonitor of metallic pollution. Samples were collected from 20 distinct traffic-exposed sites along the national road N°05 and compared with 3 control sites located in the Chettaba forest. The studied soils exhibited significant TME enrichment, with Pb and Cd concentrations exceeding background values in 70% and 55% of the studied sites, respectively. The bio-concentration factor (BCF) values indicated that bark accumulates more TMEs than leaves, with mean values following Cu &gt; Cd &gt; Zn &gt; Cr &gt; Pb for leaves, and Cd &gt; Cu &gt; Pb &gt; Zn ≈ Cr for bark. The comprehensive bio-concentration index (CBCI) ranged from 0.03 to 0.72 for leaves and 0.06 to 0.74 for bark. The metal accumulation index (MAI) confirmed these findings, with sub-indices ranking Cr &gt; Zn &gt; Cu &gt; Pb ≈ Cd for leaves, and Cu &gt; Zn &gt; Cd &gt; Cr &gt; Pb for bark. Bark showed higher MAI values than leaves (bark/leaf ratio of 1.61), except for Pb, which accumulated more in the leaves. The results of this research demonstrate that <i>F. excelsior</i> exhibits strong TMEs accumulation, particularly in bark, making it a promising species for biomonitoring, phytoremediation, and use as a biological barrier in urban roadside environments.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"198 10","pages":""},"PeriodicalIF":3.6,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149102551","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Heavy metal contamination in wastewater-irrigated leafy vegetables: implications for food safety","authors":"Nitika Rani,&nbsp;Pooja Arora,&nbsp;Smita Chaudhry","doi":"10.1007/s10661-026-15939-1","DOIUrl":"10.1007/s10661-026-15939-1","url":null,"abstract":"<div><p>The limited availability of fresh water sources across many developing countries necessitates the intake of wastewater as an alternative option for irrigation, raising worries about heavy metal contamination. The present study evaluated the accumulation of chromium (Cr), lead (Pb), cadmium (Cd), copper (Cu), and nickel (Ni) in easily available and highly consumed leafy vegetables (fenugreek, spinach, and mustard) irrigated with industrial effluents (post-primary, secondary, and tertiary treatments), drain water, and groundwater in a controlled pot experiment. The concentrations of Cr, Pb, Cd, and Cu in all irrigation water sources remained within the permissible limits, whereas Ni exceeded the recommended limit in drain water. Heavy metal concentrations in soils were within safety thresholds; the concentration of Cr (5–20 mg/kg), Pb (2.5–12.5 mg/kg), and Cd (0.5–1.5 mg/kg) levels in vegetables occasionally surpassed FAO/WHO limits (Codex Alimentarius Commission,  1984), WHO, 2007), indicating potential health risks. The bioconcentration factor (BCF) indicated notable uptake of Pb and Cu (exceeding the limit of 1) in spinach. Furthermore, the daily intake of metals was higher in children than adults, with the highest intake of Ni (0.04 mg/kg in children and 0.03 mg/kg in adults) and Cu (0.015 mg/kg in children; 0.013 mg/kg in adults) in spinach. The hazard index (HI) for Ni in spinach and for Pb in mustard and fenugreek indicated a heightened risk of non-carcinogenic health effects. The novelty of the study lies in its comparative evaluation of primary, secondary and tertiary-treated wastewater, drain water, and groundwater for vegetable cultivation under controlled pot conditions. The study highlights the health implications associated with heavy metal accumulation.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"198 10","pages":""},"PeriodicalIF":3.6,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149102600","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Projected climate change could expand the geographical suitability of Acacia dealbata into new temperate areas","authors":"Pedro Lago-González,&nbsp;Carolina Acuña-Alonso,&nbsp;Xana Álvarez","doi":"10.1007/s10661-026-15951-5","DOIUrl":"10.1007/s10661-026-15951-5","url":null,"abstract":"<div><p><i>Acacia dealbata</i> (Link) is enlisted as an invasive alien species in several regions where it was introduced. The invasiveness of the species relies on its resilience to disturbances such as bushfires or water depletion, humans favouring their introduction, or their ability for nitrification of soils. Understanding the potential spread of the species and their climatic niche is of great interest given their ease to invade new environments. In this research, we aimed to predict the potential distribution of <i>A. dealbata</i> in <i>Quercus robur</i> L. forests. Maximum entropy models were developed to simulate the past, present, and future climatic niche suitability for <i>A. dealbata</i> and <i>Q. robur</i>. The potential distributions of the species in several periods of study were compared through Schoener’s and Hellinger’s indices, and climatic profiles were developed as result of variable contributions and response curves. The models performed with great accuracy. The variables accounting the most for the distribution of the species were related to temperature. The main hotspot of niche overlap between <i>Q. robur</i> and <i>Acacia dealbata</i> was Europe. Our results showed that even if both species share an important extent of area worldwide, their suitable climatic niches do not completely overlap.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"198 10","pages":""},"PeriodicalIF":3.6,"publicationDate":"2026-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13623992/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149079275","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Spatial structure and multiscale environmental associations of arsenic in karst agricultural soils of Zhijin County, southwestern China","authors":"Zhizhuo Liu,&nbsp;Lang Zhang,&nbsp;Junjie Ning,&nbsp;Xiujin Liu,&nbsp;Zijia Liu,&nbsp;Yalong Zhou","doi":"10.1007/s10661-026-15960-4","DOIUrl":"10.1007/s10661-026-15960-4","url":null,"abstract":"<div><p>Soil arsenic (As) patterns in karst landscapes reflect geological, topographic, hydrological, and anthropogenic conditions, but spatial explanatory power must be distinguished from predictive contribution and causality. We analyzed agricultural topsoil from 144 sampling sites in Zhijin County, southwestern China, using descriptive statistics, Yeo-Johnson transformation, semivariograms, ordinary kriging, Geodetector, an extreme gradient boosting regressor (XGBRegressor), SHapley Additive exPlanations (SHAP), and sample-level SHAP maps. Soil As concentrations ranged from 1.79 mg kg⁻¹ to values exceeding 40 mg kg⁻¹, with a mean of 17.7 mg kg⁻¹. The transformation reduced skewness, although normality remained rejected (<i>p</i> = 0.003). The exponential semivariogram provided the best fit (<i>R</i>² = 0.820), with a nugget-to-sill ratio of 0.627 and a range of 37.02 km. Back-transformed kriging indicated relatively high values mainly in northern, northeastern, and central-eastern areas. Hg, soil organic carbon, distance to mining sites, elevation, distance to rivers, and lithology had nominal Geodetector <i>p</i> ≤ 0.003; Hg had the largest <i>q</i> statistic (0.4241), and the Hg-lithology interaction had the largest joint <i>q</i> (0.5030). Among five candidate regressors, XGBRegressor achieved the highest pooled out-of-fold <i>R</i>² (0.4197) and the lowest root mean square error (6.7793 mg kg⁻¹) and mean absolute error (4.5831 mg kg⁻¹). SHAP ranked Hg, elevation, and lithology highest; Hg and elevation remained among the top three across all five folds. Sample-level maps showed heterogeneous signed contributions. Predictive performance was moderate, and spatial transferability remains unverified. These results support targeted verification and zoned monitoring without implying causal attribution.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"198 10","pages":""},"PeriodicalIF":3.6,"publicationDate":"2026-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149079282","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Integrating morphometric and climatic variables into the mapping of land use and vegetation cover in the Caatinga biome","authors":"Alíbia Deysi Guedes da Silva,&nbsp;Sara Fernandes Flor de Souza,&nbsp;Rebecca Luna Lucena,&nbsp;João Santiago Reis","doi":"10.1007/s10661-026-15949-z","DOIUrl":"10.1007/s10661-026-15949-z","url":null,"abstract":"<div><p>Recent landscape transformations resulting from the replacement of natural areas with anthropogenic uses have had an impact on the semi-arid region of Brazil. The objective of the research was to evaluate a land use and land cover classification model in the Caatinga biome, using machine learning techniques integrated with multiple environmental and climatic covariates. The area was segmented into six subunits, based on a combination of hydrographic regions and geomorphological domains. The random forest algorithm on the Google Earth Engine platform was used to process the supervised classification, considering predictor variables, including spectral bands and indices, tasseled cap transformation, image fractions, surface temperature, precipitation, morphometric variables, and geographic location. The results indicated that geomorphological compartmentalization increased separability between land use classes and bare soil. The model achieved an average global accuracy of 0.83 and a kappa index of 0.80. The forest vegetation and rivers, lakes, and ocean classes showed high precision, while salt marshes and herbaceous restinga indicated inconsistencies. The most relevant variables were spatial position, altitude, and climatic conditions. In this perspective, incorporating this set of elements into the machine-learning classifier proved to be an innovative and scientifically relevant approach.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"198 10","pages":""},"PeriodicalIF":3.6,"publicationDate":"2026-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13624018/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149079206","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Historical evolution and future trends of land cover patterns and structural ecological connectivity in the China–Russia Xingkai Lake Basin","authors":"Rongyang Zhang,&nbsp;Enpeng Tian,&nbsp;Yuanchun Zou,&nbsp;Mingle Zheng,&nbsp;Zhenshan Xue","doi":"10.1007/s10661-026-15970-2","DOIUrl":"10.1007/s10661-026-15970-2","url":null,"abstract":"<div><p>Transboundary wetlands are essential for regional ecological security, yet their landscape structure and connectivity are increasingly altered by land use change. We quantified land cover dynamics, landscape reorganization, and structural ecological connectivity in the China–Russia Xingkai Lake Basin during 2000–2025 and projected changes to 2050. Landsat-based land cover maps were generated using a random forest classifier. Landscape configuration was characterized using PD, LPI, ED, and COHESION, whereas structural ecological connectivity was quantified using the integral index of connectivity (IIC); XGBoost and SHapley Additive exPlanations were used to examine environmental and socioeconomic correlates; and a Markov–cellular automata framework was used to simulate four future scenarios. Wetland area declined by 44.9% and became increasingly fragmented. In China, gross wetland-to-cropland and wetland-to-open surface water transitions were broadly comparable, while total cropland area declined slightly by 0.4% at the net level. In Russia, cropland increased by 48.8%, while gross wetland-to-open surface water conversion was more prominent, although this mapped pathway may partly reflect hydrological variability and classification uncertainty. At the 500-m link threshold, basin-scale IIC declined by 16.5%, from 0.1647 to 0.1376, alongside reduced core habitat area and increased patch number. Land cover transitions were associated with different combinations of topographic, climatic, and human-related variables across the border. By 2050, ecological protection retained the largest wetland and core habitat areas and produced the highest IIC (0.1528), 17.6% higher than under agricultural priority (0.1299). These findings highlight the need for coordinated wetland retention, core habitat protection, and sustainable land use management across the transboundary basin.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"198 10","pages":""},"PeriodicalIF":3.6,"publicationDate":"2026-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149073119","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}