Environmental Monitoring and Assessment最新文献

{"title":"Spatiotemporal trends of climate change and variability: impacts on coffee production in Abaya and Gelana Woredas, Southern Ethiopia.","authors":"Teshome Deresse, Terefe Tolessa, Siraj Mamo, Eve Bohnett, Getnet Engdaw","doi":"10.1007/s10661-025-14414-7","DOIUrl":"10.1007/s10661-025-14414-7","url":null,"abstract":"<p><p>The purpose of this study was to investigate the spatiotemporal trends and variability of climate impacts on coffee production in Abaya and Gelana Woredas. To clarify reliable data from the participants, the study utilized a mixed-research approach. Combining quantitative climate analysis (Mann-Kendall test, Sen's slope, and rainfall indices) with qualitative data from surveys and interviews, this research assessed how climate variability, socioeconomic factors, and physical conditions affect coffee yield. Statistical analysis (regression and t-tests) reveals significant climate trends across the study area, including warming nighttime temperatures (T_min), cooling daytime temperatures (T_max), and seasonal rainfall fluctuations. Rainfall trends varied among kebeles: In Bunata, Belg (Z = 1.07) and Meher (Z = 1.03) conveyed moderate but non-significant increases, although annual rainfall showed a near-significant decline (Z =  - 1.84, Q =  - 0.076). In contrast, Guangawa Badiya, Giwe, and Jirme exhibited positive rainfall trends in both Belg (Z = 2.21) and Meher (Z = 2.67), while Odo Mike experienced negative rainfall trends, particularly in Meher (Q =  - 0.391) and annually (Q =  - 0.660). Temperature trends revealed a decrease in T_max across all sites (Bunata - 0.61, Guangawa Badiya - 0.66, Odo Mike - 0.45, Giwe - 0.43), while T_min increased entirely, with notable seasonal variability in T_max. Regression modeling showed a strong correlation (R = 0.871) between climate variability, soil erosion, land size, and coffee production, explaining 83.2% of the variation in yields. Key adaptation strategies reported by farmers included intercropping (8.7%), income diversification (8.7%), cultivar selection (8.6%), agroforestry (8.5%), and integrated pest management (IPM) (7.8%). While rising T_min, decreasing T_max, and rainfall variability contributed to variations in coffee production in Guangawa Badiya, Giwe, and Jirme, these changes led to a decline in Bunata and Odo Mike. Coffee production has been impacted by climate change due to reducing the diurnal temperature range, hindering blooming and bean development, and making pests more vulnerable. Intense rainfall causes soil erosion and nutrient loss, while irregular rainfall impacts important development phases, resulting in flower drop and low yields. This study underscores the importance of adaptive strategies such as intercropping, agroforestry, income diversification, enhanced water management, and government support in ensuring the sustainability of coffee farming amidst ongoing climate fluctuations.</p>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 8","pages":"951"},"PeriodicalIF":3.0,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12289767/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144706009","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":"The role of land use and rural property characteristics to forest integrity in a fragmented landscape in the eastern amazon.","authors":"Jéssica Costa da Silva, Hellen Kezia Almada, Eduardo Queiroz Marques, Fabiano Emmert, Divino Vicente Silvério","doi":"10.1007/s10661-025-14397-5","DOIUrl":"10.1007/s10661-025-14397-5","url":null,"abstract":"<p><p>The integrity of native vegetation remnants in fragmented landscapes depends on various factors. The land use and surrounding landscape characteristics are expected to have a substantial impact. However, a comprehensive understanding of the role of productive activities and rural property characteristics to integrity of forest remnants in the Amazon region remains limited. This study assessed whether land-use types and three other specific rural properties influence forest integrity in the Guamá microregion, northeastern Pará. Data on permanent crops and forests were integrated into annual land use and land cover mapping from the MapBiomas Brazil Project. Three variables were used as proxies for forest integrity: the Normalized Difference Infrared Index (NDII), vegetation height, and aboveground biomass, derived from Global Ecosystem Dynamics Investigation (GEDI) data. We analyzed seven predictors: property size (log_TPR), proportion of agriculture (AGRI_PR), native vegetation area (FOR), proportion of native vegetation (FOR_PR), forest percentage in the landscape (%FP), fire frequency (FIRE), and fragment age (IVEG). Four predictors (FOR_PR, FIRE, IVEG, and log_TPR) explained 10% of the variation in aboveground biomass (r² = 0.10; p < 0.05). All predictors accounted for 28% of the variation in the vegetation height (r² = 0.28; p < 0.05). For the NDII, all predictors were significant, explaining 13% of the variation (r² = 0.13; p < 0.05). These results highlight the importance of understanding land use and rural property characteristics to conserve Amazonian forest remnants and support sustainable management and policy development in the Eastern Amazon.</p>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 8","pages":"953"},"PeriodicalIF":3.0,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144717230","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 olive and olive oil waste biochars on bioavailability and leaching of Pb and Cd.","authors":"Aise Deliboran","doi":"10.1007/s10661-025-14400-z","DOIUrl":"https://doi.org/10.1007/s10661-025-14400-z","url":null,"abstract":"<p><p>In the study, impacts of olive and olive oil waste biochars on the bioavailability and leaching of Pb and Cd, as well as the effects of biochar, Pb, and Cd applications on cress seed germination and phytotoxicity, were investigated. The soil sample was spiked with 500 mg/kg Pb(NO₃)₂ and 12 mg/kg Cd(NO₃)₂, then incubated for 60 days. For the bioavailability study, BCs (0%, 0.5%, 1%) and 10 g contaminated soil (CS) were incubated for 1, 2, 3, 4, 5, 6, 7, and 8 weeks, respectively. For the leaching study, 50 g CS and BCs (0%, 0.5%, 1%) were incubated 60 days. For the phytotoxicity study, 0.5 g BCs and 20 cress seeds with Pb (0, 250, 500, 750, 1000 mg/L) and Cd (0, 6, 12, 24, 48 mg/L) solutions were incubated separately for 8 days. The results revealed the potential of BCs to improve soil properties and reduce Cd and Pb, which can be removed and leached from CS. EC, pH, and CEC increased, and Pb and Cd amounts decreased. The lowest Cd and Pb leaching was observed at 1% BC application. Shoot and root length were decreased without BCs, and the highest toxicities were observed at 1000 mg/L Pb and 48 mg/L Cd applications. PT decreased with BCs, and the most effective PT reduction was observed in BC_PW. As a result, BCs produced from olive waste controlled the immobilization of Pb and Cd at soil interfaces, significantly reduced phytotoxicity by promoting shoot and root development, and improved plant growth characteristics.</p>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 8","pages":"952"},"PeriodicalIF":2.9,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144706008","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":"Soil water erosion in Morocco: a systematic review of modelling and prediction techniques.","authors":"Karim Charef, Laila Saafadi, Latifa Mouhir, Abdessalam Ouallali, Kamal Laabou, Aissam El Rherari","doi":"10.1007/s10661-025-14401-y","DOIUrl":"10.1007/s10661-025-14401-y","url":null,"abstract":"<p><p>Soil water erosion and sediment movement significantly impact the environment, particularly reducing soil fertility, agricultural production capacity, and water quality. It is therefore crucial to understand these processes and their impacts, especially in a Mediterranean and semi-arid area such as Morocco. This review clarifies the models and techniques applied in Morocco, focusing on the nature of the data used, the models implemented, and the spatial distribution of studies at the national level. By highlighting their strengths and limitations, it provides valuable guidance to improve the selection and application of modeling approaches suited to the Moroccan context. To this end, the methodology was based on a systematic literature review and bibliometric analysis, providing an exhaustive study of 84 relevant peer-reviewed articles published between 2000 and 2023. The results indicate the following: (i) 67% of the study areas cover less than 200,000 ha; (ii) most modelling applications are concentrated in the Rif (35.71%), Western Meseta (30.95%), and High Atlas (20.23%), followed by the Middle Atlas (8.33%), Anti-Atlas (3.57%), and Eastern Meseta (1.19%); (iii) the highest number of publications was recorded in 2023; (iv) the Revised Universal Soil Loss Equation (RUSLE) is the most frequently used model; and (v) comparative analysis shows that the Water Erosion Prediction Project (WEPP) and the Lisem Integrated Spatial Earth Modeller (LISEM) are among the most effective models for simulating soil erosion. These findings highlight the need to enhance erosion modelling in Morocco through improved data accessibility and the integration of high-resolution datasets.</p>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 8","pages":"950"},"PeriodicalIF":2.9,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144697326","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":"Examining the effects of economic zone construction on mangrove forest using before-after-control-impact (BACI).","authors":"Irtifa Alam Nabila, Shiro Tsuyuzaki","doi":"10.1007/s10661-025-14380-0","DOIUrl":"https://doi.org/10.1007/s10661-025-14380-0","url":null,"abstract":"<p><p>Mangrove forests along land-sea interface are threatened, although they provide diverse ecosystem services. Mangrove transplantation has been conducted in Bangladesh since 1966 to protect coastal areas, although an economic zone project started in 2016 has affected the forest. To evaluate the impact of the project on the mangrove, changes in normalized difference vegetation index (NDVI) were monitored before (2011) and after (2021) the economic zone construction by IKONOS (0.8 m in resolution) and TripleSat (0.8 m) imageries. Before-after-control-impact (BACI) assessment was applied to investigate the effects on the ecosystems with forests surveyed in 18 plots of which disturbance intensities were scored by hierarchical disturbance rank. NDVI decreased in 17.4% of the study area, primarily due to road construction and forest degradation near the economic zone. In all affected plots, NDVI was lower in the after-period than in the before-period. Inland areas showed a positive relationship with NDVI in the after-period compared to seaside. The impact extended up to approximately 20 km beyond the zone, indicating that the effects of construction were extensive. Periods and disturbance intensities were negatively correlated with NDVI changes. In this study, BACI assessment was applied to remote sensing for the first time and identified that low NDVI occurred in the intermediate area, confirming the negative impact of road construction on mangrove for long distance from the project. Considering that human activity leads to mangrove deterioration in both proximal and remote areas, a BACI-based assessment should be adopted when evaluating impacts on mangroves even at remote sensing.</p>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 8","pages":"949"},"PeriodicalIF":2.9,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144697306","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":"Spatio-temporal study of urban dynamics with implications on land surface temperature of Gurugram City, India.","authors":"Jyoti Saini, Anil Kumar Gupta, Renu Dhupper, Anamika Shrivastava","doi":"10.1007/s10661-025-14392-w","DOIUrl":"https://doi.org/10.1007/s10661-025-14392-w","url":null,"abstract":"&lt;p&gt;&lt;p&gt;Prompt urbanization is one of the irreversible anthropogenic activities that is a major challenge for ecosystems and climate change. This global challenge needs to be addressed as urbanization significantly affects land surface temperature (LST) and contributes to the urban heat island (UHI) effect. Urban development converts natural landscapes into impermeable surfaces, elevating LST, particularly in densely populated regions where heat-absorbent materials are abundant. To better understand these impacts and support evidence-based mitigation, this study analyses spatial patterns and transformations in land use and temperature. Accordingly, the study utilized remote sensing data, from Landsat 4-5 TM (2000) and 8-9 OLI/TIRS (2022), which were used to assess land use dynamics using spectral indices (normalized difference vegetation index (NDVI), normalized difference built-up index (NDBI), and modified normalized difference water index (MNDWI)), and thermal band data was utilized to derive LST and examine their spatio-temporal dynamics and interrelationships with UHI and the consequent ecological (urban thermal field variance index (UTFVI)) implications, in Gurugram, India. The Landsat satellite images were processed in ArcGIS 10.8 and ERDAS IMAGINE 2015, and the data analysis of spectral indices was done through MATLAB and Excel. The land use land cover (LULC) map was classified with a supervised classification method based on the maximum likelihood classifier (MLC) method, with the kappa coefficients of 0.959 (2000) and 0.956 (2022), which reflected acceptable results for classifications and mapping of LULC. Compared with field-level surveys, the study achieved a classified accuracy of around 97.2% and 96.8%, respectively. The findings of the study reveal that over two decades, built-up areas increased by about 13%, agricultural fields decreased by 26%, and average LST rose by 2-3 °C, which also indicates different ecological status in various regions. These insights can be useful for urban planners, municipal authorities, and environmental protection organizations to create climate-resilient urban landscape ecoregions with specific targeting of vulnerable areas associated with urban hybrid heat islands and ecological degradation based on location. Statistical analysis of linear regression presented high NDBI values, which shows the strongest positive association with LST, and high NDVI and MNDWI values displayed a significant cooling effect, with the R-squared value 0.97 for the year 2000, and for 2022, it is 0.98. This study underscores the necessity for a comprehensive policy framework that incorporates geospatial data for urban planning to mitigate UHI effects via green infrastructure, afforestation, and water body restoration projects. Future studies should employ advanced technologies like LiDAR and UAVs for improved urban surveillance and investigate multi-hazard assessments that combine urban heat with flood and air quality concerns","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 8","pages":"946"},"PeriodicalIF":2.9,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144697328","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":"Subsurface transport and environmental risks of microplastic pollution: influence of land use and seasonal variability.","authors":"Jaswant Singh, Brijesh Kumar Yadav","doi":"10.1007/s10661-025-14416-5","DOIUrl":"https://doi.org/10.1007/s10661-025-14416-5","url":null,"abstract":"<p><p>Microplastic (MP) contamination is an emerging environmental concern due to its potential impacts on soil health, hydrological processes, and aquatic ecosystems, yet its transport mechanisms across different land use types under seasonal variability remain insufficiently understood. This study systematically investigates the vertical transport, seasonal variability, and environmental risks of MPs across five land use types: riverbanks, dumpsites, agricultural, residential, and woodlands. Field sampling was conducted during pre-monsoon and post-monsoon seasons, with soil and sediment collected from five depth intervals (0-20, 20-40, 40-60, 60-80, and 80-100 cm). MP concentrations varied significantly across land uses, with dumpsites exhibiting the highest in the surface layer (39,113 ± 4750 particles/kg pre-monsoon, 35,920 ± 6294 particles/kg post-monsoon), while woodlands retained the lowest (530 ± 101 particles/kg pre-monsoon, 703 ± 199 particles/kg post-monsoon). Smaller MPs (< 0.3 mm) showed greater vertical transport, especially post-monsoon. Fragments dominated all land uses (45% in deeper riverbank soils), with fibers enriched at the surface (up to 30%). Transparent and white MPs were the most common (up to 34%) with color heterogeneity (black, blue, red) peaking in dumpsites. Low-density polymers such as polyethylene (PE) and polypropylene (PP) dominated deeper layers (up to 60% in woodland), while high-density polymers remained surface bound. Risk indices identified dumpsites as critical hotspots: Pollution load index (PLI) rose from 30.7 to 33.7, and potential ecological risk index (PERI) exceeded 4400 in both seasons. These findings underscore the critical role of land use and seasonal hydrological variability in MP transport, highlighting potential threats to ecosystems.</p>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 8","pages":"947"},"PeriodicalIF":2.9,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144697329","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":"Synoptic and meteorological drivers of summer ozone pollution events in the Kaoping Region, Taiwan.","authors":"Li-Wei Lai","doi":"10.1007/s10661-025-14381-z","DOIUrl":"https://doi.org/10.1007/s10661-025-14381-z","url":null,"abstract":"<p><p>Most studies on ozone pollution in Taiwan have focused on surface meteorological conditions and atmospheric dispersion, whereas the influence of mid-level synoptic patterns (e.g., 500 hPa systems) and vertical convective stability remains underexplored. This study investigates ozone pollution events during July and August from 2008 to 2023, using data from Taiwan's Ministry of Environment, the Central Weather Administration, and upper-air soundings. Principal Component Analysis (PCA) was employed to identify key atmospheric drivers of ozone variability, including convective stability, dispersion capacity, humidity, precipitation, solar radiation, and convective top height. Ozone events were more frequent when the East Asian monsoon trough extended eastward, positioning Taiwan on the western flank of the 500 hPa subtropical high-pressure ridge and low-pressure trough. These conditions coincided with strong convection at 850 hPa, below-average temperatures over Taiwan and the adjacent seas (relative to the long-term climatological average), a weakened surface high-pressure ridge, and the presence of low-pressure systems-of which typhoons accounted for 45.8% of cases. The PCA identified three primary meteorological drivers of ozone pollution. Convective stability (explaining 18.50% of the variance)-represented by Lifted Index (LI), Showalter Index (SHI), and Showalter Index (SHI)-was the dominant factor. Humidity and precipitation (16.50%)-characterised by RH (Relative Humidity), RR, and RA-highlighted the influence of moisture-related processes. Dispersion capacity (10.86%)-defined by mixing height (MH) and the product of wind speed (WS) and MH (WS × MH)-reflected atmospheric dilution conditions. Severe ozone events were associated with high atmospheric stability, limited dispersion, dry conditions, strong solar radiation, and low convective tops. In conclusion, mid-level synoptic patterns play a critical role in ozone pollution, primarily through their modulation of convective stability and atmospheric dispersion. While tropical low-pressure systems influence ozone variability, convective stability emerges as the dominant mechanism driving ozone pollution events in Taiwan.</p>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 8","pages":"945"},"PeriodicalIF":2.9,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144697330","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":"Spatial distribution and ecological risk of potentially toxic elements in peri-urban soils of a historically industrialised area.","authors":"Fabrizio Monaci, Davide Baroni","doi":"10.1007/s10661-025-14389-5","DOIUrl":"10.1007/s10661-025-14389-5","url":null,"abstract":"<p><p>The spatial distribution and ecological risk of potentially toxic elements (PTEs) were investigated in the topsoil of a peri-urban area surrounding a historical industrial complex in the Scarlino Plain in southwestern Tuscany, Italy. Superficial (0-5 cm) soil samples from 44 sites within a 1.5-km radius of the industrial district were analysed for As, Cd, Co, Cr, Cu, Hg, Mn, Ni, Pb, Sb, Sn, Tl, V and Zn concentrations after microwave-assisted acid digestion with HNO₃ and H₂O₂. The results revealed significant contamination exceeding regulatory thresholds, predominantly caused by historical pyrite roasting and natural geochemical anomalies. The enrichment of As, Mn, Cu and Zn compared to European baselines was widespread, with As and Zn levels exceeding the Italian screening values in several samples. Principal component analysis identified distinct contamination patterns linked to land use, with the first component (PC1, 49.2% of the variance) associated with pyrite-derived PTEs (As, Cu, Cd, Pb and Zn), whereas PC2 represented geogenic inputs. Despite their combined contribution to soil contamination, this analysis effectively differentiated industrial signatures from those of natural sources. Ecological risk assessment indicated that As and Cd are major concerns in agricultural soils, where anthropogenic and natural sources overlap. These findings underscore the importance of distinguishing between natural and anthropogenic contributions to inform realistic mitigation targets and protect environmental and human health in historically impacted peri-urban areas.</p>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 8","pages":"948"},"PeriodicalIF":3.0,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12289831/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144697327","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":"Freshwater bioindicators demonstrate sensitivities to potential changes from climate and mineral development in Alaska.","authors":"Rebecca Shaftel, Erin Larson, Dan Bogan, Birgit Hagedorn, Dustin Merrigan, Sarah O'Neal, Daniel Rinella, Carol Ann Woody","doi":"10.1007/s10661-025-14275-0","DOIUrl":"https://doi.org/10.1007/s10661-025-14275-0","url":null,"abstract":"<p><p>In Bristol Bay, Alaska, headwater streams support the world's largest, most valuable sockeye salmon fishery, but face an uncertain future due to climate change and proposed development. We used a framework based on pre-impact data to identify sensitive taxa and evaluate their potential as freshwater bioindicators for climate change and mineral development in the relatively undisturbed Lime Hills ecoregion of Bristol Bay. We identified sensitive taxa as those associated with distinct stream physical habitat types and those with published sensitivities to expected changes from climate or mineral development (e.g., increasing temperatures, acidity, conductivity, sedimentation, or general pollution). Using a 12-year dataset of stream macroinvertebrates and diatoms, we also investigated patterns over time in community composition and taxa presence. We identified five fish, 23 macroinvertebrate, and 26 diatom bioindicators with high interannual persistence in Bristol Bay wadeable streams that are also sensitive to either habitat change or future stressors. Stream benthic community composition has shifted over the past 12 years for both macroinvertebrates and diatoms, but we found few trends in individual taxa. The final bioindicator list can be used to measure future changes in stream habitats and communities of the Lime Hills ecoregion. Our framework used baseline data that captured both spatial and temporal variability in sensitive taxa and has utility for other pristine subarctic ecosystems prior to potential impacts.</p>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 8","pages":"944"},"PeriodicalIF":2.9,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144697325","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}