Environmental Monitoring and Assessment最新文献

{"title":"Urban agriculture as a biodiversity conservation environment for edaphic fauna in the West Zone of the municipality of Rio de Janeiro, Brazil","authors":"Maria João Ferreira Carneiro dos Santos Pires,&nbsp;Stéfanny Aparecida Ribeiro,&nbsp;Liliane de Sousa Ferreira,&nbsp;Luiz Fernando de Sousa Antunes,&nbsp;Mariella Camardelli Uzeda,&nbsp;Maria Elizabeth Fernandes Correia","doi":"10.1007/s10661-025-14619-w","DOIUrl":"10.1007/s10661-025-14619-w","url":null,"abstract":"<div><p>Agroecological urban agriculture areas are remnants of biodiversity and provide ecosystem services for urbanized areas, as well as being important alternatives for food security and income generation. The aim of this work was to assess the capacity of these areas to shelter soil fauna, contributing to their conservation in the urban environment. It also aimed to assess which soil attributes and landscape features most interfere with the occurrence and abundance of these soil invertebrates. Fifteen areas were selected in the neighborhoods of Campo Grande and Vargem Grande, in the West Zone of the municipality of Rio de Janeiro, making up a gradient of different plantations and forest areas. In each area, a transect was established with three sampling points 5 m apart, where the soil mesofauna was sampled with a specific auger, collecting litter and soil up to 10 cm. Earthworms were sampled using the TSBF method at a depth of 0–10 cm. Soil samples were collected at each fauna sampling point, at the same depth, for routine analysis of soil fertility and texture. The data was analyzed using multivariate techniques, first using principal component analysis (PCA) to select soil attributes representing the local scale of influence and percentages of landscape features. The percentages of landscape features were measured using two buffers around the sampling area, 500 m and 250 m. A multidimensional scaling (NMDS) analysis was carried out to select the fauna groups with the greatest representativeness and degree of response to environmental factors. Environmental factors at the local scale and at the 500 m and 250 m scales were determined using generalized linear model (GLM) analysis, through which it was possible to select models composed of variables that determine the occurrence and density of the different groups of fauna selected. The most abundant groups were Acari, Collembola Entomobryomorpha, and Formicidae. In the crop areas, Acari was dominant, while in the forest area used as a reference Entomobryomorpha was more abundant. On a local scale, pH was the most common factor in the models, often with a negative sign, showing an inverse relationship between the pH value and the density of the fauna group. This result suggests that pH is a good indicator for correlations with soil mesofauna and earthworms. The 250 m models were able to select groups with a greater affinity for crops and highly anthropized areas. In conclusion, it was observed that these areas are capable of maintaining an abundant and diverse community of soil fauna.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 10","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145170412","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":"Evaluating contaminated land and the environmental impact of oil spills in the Niger Delta region: a remote sensing-based approach","authors":"Seyi Adewale Adebangbe,&nbsp;Deborah P. Dixon,&nbsp;Brian Barrett","doi":"10.1007/s10661-025-14584-4","DOIUrl":"10.1007/s10661-025-14584-4","url":null,"abstract":"<div><p>The Niger Delta region of Nigeria is a major oil-producing area which experiences frequent oil spills that severely impacts the local environment and communities. Effective environmental monitoring and management remain inadequate in this area due to negligence, slow response times following oil spills, and difficulties regarding access and safety. This study investigates the pervasive issue of oil spills in the Niger Delta region, by employing a remote sensing approach, leveraging geospatial cloud computing and machine learning to evaluate vegetation health indices (SR, SR2, NDVI, EVI2, GRNDVI, GNDVI) derived from PlanetScope satellite data. These indices were analysed using Slow Moving Average regression, which revealed significant declines in vegetation health following oil spill events. The contaminated landcovers exhibit a Spearman’s correlation coefficient (ρ) ranging from − 0.68 to − 0.82, <i>P</i> &lt; 0.005 and <i>P</i>-values below 0.05 in most landcover categories, suggesting a clear and consistent downward trend in the indices’ values, reflecting a decrease in vegetation health in contaminated areas between 2016 and 2023. A random forest classifier further quantified the extent of contaminated land cover, demonstrating the effectiveness of this method for monitoring environmental damage in this challenging terrain. Contaminated vegetation, wetland, farmland, and grassland cover approximately 4% (1180 ha) of the total Niger Delta area. This integrated approach will enable decision-makers, including government agencies and oil companies, to gain a deeper understanding of the environmental consequences of oil pollution and implement targeted mitigation and remediation strategies.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 10","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10661-025-14584-4.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145147373","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":"Macro- and microelement composition of muscles of the invasive fish rotan Perccottus glenii (Odontobutidae): assessment of pollution in metropolitan water bodies","authors":"Andrey B. Petrovskiy,&nbsp;Lyubov A. Pelgunova,&nbsp;Dmitriy. A. Ksenofontov,&nbsp;Alina M. Tyshchenko,&nbsp;Andrey N. Reshetnikov","doi":"10.1007/s10661-025-14562-w","DOIUrl":"10.1007/s10661-025-14562-w","url":null,"abstract":"<div><p>Urban water bodies are at high risk of anthropogenic pollution. The content of 5 macroelements (P, S, Cl, K, and Ca) and 17 microelements (Ti, Cr, Mn, Fe, Co, Ni, Cu, Zn, As, Br, Rb, Sr, Cd, Sn, Ba, Pb, and Hg) in the muscle tissue of the invasive fish rotan (<i>Perccottus glenii</i>) from 10 water bodies located in different districts of Moscow (Russia) was studied. In general, the level of elements content in the muscle tissue of rotan did not depend on the location of the water body: residential areas, areas near major roadways, or specially protected green areas. Correlations of the content of individual chemical elements with the sex and size of fish were revealed, as well as correlations of concentrations of individual elements among themselves. Concentrations of trace elements, regulated by the legislation of the Russian Federation (Pb, As, Cd, and Hg), as well as those recommended for monitoring (Cu, Zn), do not exceed permissible values, which indicates a relatively favorable condition of the studied water bodies in terms of pollution by chemical elements.\u0000</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 10","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145170316","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":"Sewage intrusion into drinking water distribution systems: implications for water resource management","authors":"Jibrin Ndejiko Mohammed,&nbsp;Feroz Mahomed Swalaha","doi":"10.1007/s10661-025-14607-0","DOIUrl":"10.1007/s10661-025-14607-0","url":null,"abstract":"<div><p>Sewage infiltration of drinking water distribution systems (DWDS) is a major challenge for global water resource management, exacerbated by outdated infrastructure and rising water pressure. According to studies, even small sewage intrusion can result in major microbiological changes, such as appreciable increases in bacterial biomass, bacterial diversity, and dissolved organic matter (DOM) composition. These changes intensify the risk of waterborne infections and complicate treatment procedures required for ensuring safe drinking water. The present work is a review/state of science that synthesizes recent studies on sewage intrusion into the DWDS, focusing on mechanisms and factors that contribute to sewage intrusion, adverse effects of intrusion on water quality, public health, environmental integrity, development and breeding of antibiotic resistance and implications of sewage intrusion into the DWDS for water resource management. The review also explores various strategies for managing and combating sewage intrusion into the DWDS, including infrastructural upgrades, storm water management, improved monitoring systems, regulatory frameworks, and public awareness and engagement programs. To safeguard public health and guarantee the reliability of drinking water supplies in the face of increasing environmental constraints, policymakers and water managers must give priority to investments in resilient infrastructure, innovative treatment techniques, and coordinated measures that address both short-term health issues and long-term sustainability challenges.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 10","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10661-025-14607-0.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145147387","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":"Cyanobacterial organic matter dynamics and nitrate inflow: key drivers of phosphorus fluctuations in Lake Taihu (2012–2023)","authors":"Mengmeng Wang,&nbsp;Yixuan Zhan,&nbsp;Mengjiao Xie,&nbsp;Xiaohua Song,&nbsp;Liyu Pan,&nbsp;Xueyan Lv,&nbsp;Liuyan Yang","doi":"10.1007/s10661-025-14602-5","DOIUrl":"10.1007/s10661-025-14602-5","url":null,"abstract":"<div><p>The influence of cyanobacterial blooms and their decomposition on phosphorus concentration in lacustrine systems has garnered considerable academic attention. However, the mechanisms through which organic acids released during cyanobacterial accumulation, in conjunction with high nitrogen inputs, drive fluctuations in total phosphorus (TP) concentration in Lake Taihu remain unexplored. In this study, organic matter from decomposed bloom-forming cyanobacteria and nitrate were sequentially added to sediments to evaluate their effects on the fluctuation of TP concentration. Statistical analysis revealed that from 2012 to 2023, the total nitrogen (TN) concentration in Lake Taihu decreased in tandem with declining TN levels in inflowing rivers. In contrast, the TP concentration in the lake water exhibited significant fluctuations despite a continuous decrease in TP loading from the inflowing rivers. High-density bloom-forming cyanobacteria were found to enhance phosphorus release from sediments due to Fe(III) reduction to Fe(II), whereas nitrate–nitrogen (NO₃⁻–N) appeared to promote phosphorus assimilation in sediments under low cyanobacterial density. Microcosm experiments demonstrated that cyanobacterial organic matter significantly enhanced phosphate release from sediments. Thus, cyanobacterial organic matter may have facilitated a shift in phosphorus dynamics from a sink to a source in the sediments of the western lake region of Lake Taihu before 2019. Conversely, from 2019 to 2023, NO₃⁻–N inputs from rivers stimulated Fe(II) oxidation, leading to phosphate binding with Fe(III) and enhancing phosphorus retention in sediments. This process reversed phosphorus from a source to a sink in sediments. These findings reveal a bidirectional source–sink switch regulated by cyanobacterial bloom intensity and nitrate loading, providing a mechanistic explanation for TP fluctuations in Lake Taihu between 2012 and 2023. The study offers broader insights into internal phosphorus cycling and eutrophication management in shallow lakes.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 10","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145147430","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":"Water resource assessment in data-scarce hydrological regions based on limited underwater survey points","authors":"Chen Wang,&nbsp;Bo Zhang,&nbsp;Rui Zhu,&nbsp;Ruonan Wei,&nbsp;Zhen Bian","doi":"10.1007/s10661-025-14600-7","DOIUrl":"10.1007/s10661-025-14600-7","url":null,"abstract":"<div><p>Lake topography, which serves as a crucial basis for water resource monitoring, has been extensively applied in hydrological and geomorphological research. However, monitoring lake dynamics in data-scarce regions remains challenging due to the limited revisit frequency of altimetry satellites and uncertainties in estimating submerged depths based on surrounding terrain. Focusing on the Shapotou region of Ningxia, this study collected bathymetric data using an unmanned surface vessel and employed interpolation methods and machine learning (XGBoost) to determine the most effective approach for constructing the lake digital elevation model (DEM). The relationship curve between water area, water level, and water reserve, derived from DEM analysis and calculation, is integrated with remote sensing imagery, thus facilitating the efficient monitoring of lake water dynamics. This approach provides valuable scientific and practical support for water resource management in remote or data-scarce regions lacking conventional hydrological infrastructure. The results indicate that: (1) Despite the theoretical potential of machine learning for underwater terrain prediction, this study demonstrates that traditional spatial interpolation methods offer greater advantages in areas characterized by data scarcity and significant anthropogenic terrain modification, thereby providing empirical evidence to guide method selection under similar conditions. (2) The average annual water storage of lakes in the study area was estimated at 336.249 × 10⁴ m³ by integrating relationship curves with remote sensing imagery. Total storage reached a minimum of 307.246 × 10⁴ m³ in 2016 and a maximum of 411.802 × 10⁴ m³ in 2024. Water level fluctuations were generally less than 1 m, revealing the relative stability of lakes in arid regions.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 10","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145147253","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":"Impact of pandemic measures on air quality and meteorological parameters during the COVID-19 spread in the Euphrates Basin, Türkiye","authors":"Hande Özvan,&nbsp;Alfred Stein,&nbsp;Pınar Aslantaş,&nbsp;Frank Osei","doi":"10.1007/s10661-025-14620-3","DOIUrl":"10.1007/s10661-025-14620-3","url":null,"abstract":"<div><p>This study investigates the impact of COVID-19 pandemic measures on air quality and their relationship with meteorological parameters in the Euphrates Basin, Türkiye. It provides a basin-specific analysis of air quality trends during the pandemic, exploring the interplay between meteorological variables and air quality indicators. The analysis examines the COVID-19 rates across 15 provinces about air quality indicators PM₁₀ and SO₂ and includes weekly average temperature (<i>T</i>_w) and weekly total precipitation (<i>P</i>_w). Three periods were defined: before the pandemic (Period 1), during the pandemic (Period 2), and after the pandemic (Period 3), each spanning 77 weeks. The spatial–temporal changes in PM₁₀ and SO₂ concerning <i>P</i>_w and <i>T</i>_w were analyzed during Periods 1 and 3, while in Period 2, they were related to the COVID-19 rates. The results of this study show that the COVID-19 outbreak was more intense in large cities, while the opposite was true in small cities. Using the Multivariate Auto-Regressive State-Space (MARSS) model, we found that PM₁₀ and SO₂ significantly influenced the COVID-19 rate during the second and third waves of the pandemic, most likely due to the decreased social and urban activities during the quarantine period. Moreover, the study identified noteworthy, though statistically non-significant, associations between population density and COVID-19 transmission patterns. These preliminary findings warrant further validation through future, more granular investigations.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 10","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145147340","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":"Using eDNA as a viable fish monitoring approach in Northern Gulf estuarine habitats","authors":"Erin Reschke,&nbsp;Rosmin S. Ennis,&nbsp;Linda C. Harwell","doi":"10.1007/s10661-025-14596-0","DOIUrl":"10.1007/s10661-025-14596-0","url":null,"abstract":"<div><p>Environmental DNA (eDNA) has become an important tool for studying fish presence or absence in aquatic systems. eDNA metabarcoding has been shown to produce fish diversity results comparable to traditional surveys. Environmental factors may influence the detection of fish species and estuarine applications of eDNA methodologies are more limited relative to studies in freshwater systems. In this study, we adapt existing approaches to evaluate the effectiveness of eDNA metabarcoding of fish species in two estuarine systems located in the northwest Florida Panhandle and southwestern Alabama. Sites were located in four distinct estuarine habitats for optimum representation of species present within the study area. In November 2022, mid-water samples were collected using aseptic protocols. Water samples were filtered at the end of the collection day and stored at -70 °C until filtered DNA was extracted, amplified, and sequenced. A set of universal primers was used to amplify DNA material in collected samples. The reference DNA library was amassed using contributed fish species data from national and local resource management programs. Results yielded the identification of 58 fish species, 10 distinct genera, and 13 distinct families. Greater than 80% of identified taxa were characteristic species of the estuarine systems. Eighteen of detected species were freshwater fish known to periodically inhabit tidal marshes. Unexpected species represented less than 5% of all detected species and their presence was found plausible. While more research is needed, findings suggest that an eDNA metabarcoding approach may be adequately generalizable for measuring the prevalence of fish communities in estuarine environments.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 10","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145136066","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":"Irrigated agriculture influences selenium levels in an endangered marsh bird","authors":"Cydney M. Yost,&nbsp;Kathryn M. Sliwa,&nbsp;Razia Shafique-Sabir,&nbsp;Jonathan Shore,&nbsp;Courtney J. Conway","doi":"10.1007/s10661-025-14533-1","DOIUrl":"10.1007/s10661-025-14533-1","url":null,"abstract":"<div><p>Selenium bioaccumulation in aquatic food webs poses risks to wildlife, particularly in wetlands receiving irrigation runoff. The Salton Sea, California’s largest lake, is primarily sustained by agricultural drainage. This drainage creates wetland habitat along the lakeshore that many bird species depend on, including the federally endangered Yuma Ridgway’s rail (<i>Rallus obsoletus yumanensis</i>). However, these marshes may pose an ecological trap – attracting rails despite high selenium exposure. We captured rails during the 2020–2023 breeding seasons and compared rail selenium levels within three types of marshes (fed with irrigation runoff, Colorado River water, or groundwater). We collected blood, breast feathers, and head feathers of rails in all three water sources for selenium comparisons. We tagged adult rails with GPS transmitters to locate nests and foraging locations where we collected eggshells, unhatched eggs, and prey. We assessed selenium exposure by collecting multiple prey species commonly eaten by rails in all three water sources. Selenium concentrations varied among sampling locations. Selenium concentrations in most sample types were predominately influenced by water source and marsh inflow velocity (sometimes in combination with marsh size). Distance to inflow, however, did not influence selenium concentrations in any sample type. Selenium concentrations were highest in agricultural-fed marshes compared to river-fed and spring-fed marshes. Increased marsh inflow velocities resulted in lower selenium concentrations. Given the risk of an ecological trap, our results suggest that supplementing wetlands with Colorado River water could mitigate selenium bioaccumulation in Yuma Ridgway’s rails.\u0000</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 10","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10661-025-14533-1.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145129775","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":"Risk assessment of a septic tank variant used for the blackwater treatment","authors":"Caroline Kimie Miyazaki,&nbsp;Adriano Luiz Tonetti","doi":"10.1007/s10661-025-14530-4","DOIUrl":"10.1007/s10661-025-14530-4","url":null,"abstract":"<div><p>The reuse of wastewater in agriculture on a single-family scale presents a series of challenges regarding operation, maintenance, and sanitary safety. The present study therefore aimed to assess the potential microbiological risks to which users of a variant of septic tank (biodigester septic tank, BST) are exposed when using this system for treating blackwater (wastewater from toilets) and to propose control measures using the quantitative microbiological risk assessment (QMRA) methodology. This methodology entailed mapping the routes of exposure and calculating the probabilistic infection risk of <i>E. coli</i>. The results indicated that there is a microbiological health risk associated with the BST maintenance and usage. It was proposed that the fresh bovine feces addition for system maintenance should be stopped and that the reuse of the effluent for agricultural purposes should be reused via subsurface irrigation. It is therefore vital to exercise caution and implement a risk management strategy in order to ensure the safe dissemination of this technology in Brazil and Latin America.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 10","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145129797","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}