Environmental Monitoring and Assessment最新文献

{"title":"Evaluating geostatisical approaches and their integration with pedotransfer functions for estimating the spatial distribution of cation exchange capacity","authors":"Farag M. A. Altalbawy,&nbsp;Merwa Alhadrawi,&nbsp;Ashok Kumar Bishoyi,&nbsp;Subbulakshmi Ganesan,&nbsp;Aman Shankhyan,&nbsp;S. Sunitha,&nbsp;Anita Devi,&nbsp;Rajashree Panigrahi,&nbsp;Rubyat Alam","doi":"10.1007/s10661-025-13992-w","DOIUrl":"10.1007/s10661-025-13992-w","url":null,"abstract":"<div><p>Cation exchange capacity (CEC) is a fundamental soil property that governs nutrient retention and availability, directly impacting plant growth and environmental risk assessments related to heavy metals and organic pollutants. Accurately mapping the spatial distribution of CEC is essential for sustainable soil management. This study aimed to identify the most effective interpolation technique for predicting soil CEC distribution in Hunan Province, China, using optimized data. A total of 467 soil samples were collected from a 0–30 cm depth, and soil texture, organic carbon content, and CEC were analyzed. Four spatial interpolation methods—Kriging, Co-Kriging, Fuzzy Kriging, and Regression Kriging—were compared. Results indicated that Regression Kriging outperformed other methods, achieving a coefficient of determination (R²) of 0.66, a root mean square error (RMSE) of 3.92 cmol +. kg⁻¹, and a mean square error (MSE) of 15.39 cmol +.kg⁻¹. Furthermore, integrating the Adaptive Neuro-Fuzzy Inference System (ANFIS) algorithm for data optimization significantly enhanced prediction accuracy. When Regression Kriging was applied to the ANFIS-optimized dataset, model performance improved substantially, with R² increasing to 0.88, RMSE decreasing to 2.87 cmol +. kg⁻¹, and MSE reducing to 8.28 cmol +.kg⁻¹. These findings underscore the importance of coupling ANFIS-based data selection with advanced spatial interpolation techniques to achieve more precise and reliable predictions of soil CEC distribution, contributing to improved land management and environmental sustainability.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 5","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143809246","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":"Assessment of the physicochemical characteristics of by-products of cassava processing and their effects on biodiversity","authors":"S. A. Olaniyan,&nbsp;J. B. Hussein,&nbsp;M. O. Oke,&nbsp;B. A. Akinwande,&nbsp;T. S. Workneh,&nbsp;M. Ayodele,&nbsp;I. A. Adeyemi","doi":"10.1007/s10661-025-13951-5","DOIUrl":"10.1007/s10661-025-13951-5","url":null,"abstract":"<div><p>Cassava offers by-products of processing such as peels and effluents, which seldom are disposed of without proper treatments. These by-products are rich in organic matter and cyanogenic compounds, which can be potentially hazardous to the environment. For sustainable waste management and ecological balance, a systematic investigation was carried out to analyse the physicochemical properties of cassava peels and effluents and their effects on biodiversity. Standard methods were utilised to analyse these parameters. The results for the effluents ranged from 3.41–3.81 for pH, 2467.10–3630.97 mg/L for biochemical oxygen demand (BOD₅), 2715.10–3329.90 mg/L for total solids (TS), 1888.20–2235.00 mg/L for total suspended solids (TSS), 869.00–1244.40 mg/L for total dissolved solids (TDS), 3.64–4.85 ppm for cyanide (HCN), and 0.11–0.21 mg/L for total nitrogen (total N). The chemical composition of the cassava peels showed ranges of 85.64–89.81% for dry matter, 12.00–19.50% for crude protein, 3.70–6.00% for crude fat, 2.67–4.59% for ash, 13.00–15.70% for crude fibre, 4.15–7.89% for sugar, 26.36–44.34% for starch, 11.17–12.87% for amylose, and 0.80–14.90 ppm for cyanide content. The analysis revealed that some of the characteristics of the cassava peels and effluents exceeded the standards set by the Federal Environmental Protection Agency of Nigeria (FEPA) and the World Health Organisation (WHO) for drinking water and aquatic life. This study suggests that waste from these processing centres has contributed to environmental pollution in the surrounding communities. Therefore, effective waste management practices are recommended to prevent further environmental degradation.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 5","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10661-025-13951-5.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143809245","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":"Responses of aggregate-associated carbon and their fractions to different positions in a karst valley of Southwest China","authors":"Lei Ma,&nbsp;Manyi Li,&nbsp;Cheng Li,&nbsp;Zheng Mao,&nbsp;Chen Wang,&nbsp;Mingze Xu,&nbsp;Dongxue Zhu,&nbsp;Hongtao Si,&nbsp;Shiwei Liu,&nbsp;Pujia Yu","doi":"10.1007/s10661-025-13995-7","DOIUrl":"10.1007/s10661-025-13995-7","url":null,"abstract":"<div><p>Changes in aggregate-associated carbon and their fractions are vital for soil organic carbon (SOC) sequestration. However, changes in SOC contents and their fractions in different soil aggregates under different landform positions in karst regions remain unclear. Soil samples were collected from the valley bottom (VAFL), dip slope (DIPS), and anti-dip slope (ANTD) in a karst valley of Southwest China. These soil samples were then divided into three aggregates including macroaggregate (&gt; 0.25 mm), microaggregate (0.053–0.25 mm), and silt and clay (&lt; 0.053 mm) using wet sieving methods. Contents of total SOC and their three oxidized carbon fractions (F1: easily oxidized carbon fraction, F2: oxidized carbon fraction, and F3: stable carbon fraction) were measured. Compared with ANTD, total SOC contents, microaggregate-associated carbon contents, and SOC contents in silt and clay fraction decreased by 37.90%, 38.41%, and 40.07%, respectively, under VAFL, and by 12.95%, 11.65%, and 15.60%, respectively, under DIPS. Contents of F1 and F2 fraction under VAFL were significantly lower than those under ANTD and DIPS in bulk soil, microaggregate, and silt and clay. The mean percentages of F2 in total SOC in bulk soil, macroaggregate, microaggregate, and silt and clay were 43.66%, 43.81%, 45.67%, and 41.70%, respectively, while the percentages of F1 were 25.08%, 25.04%, 25.68%, and 24.86%, respectively. Compared with DIPS, SOC stability under ANTD and VAFL increased by 6.59% and 8.44%, respectively. These findings emphasized the influence of landform positions on the carbon contents in different soil aggregates, and deepened the understanding of SOC accumulation mechanisms in Southwest China.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 5","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143801206","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 differentiation of metallic micronutrients in soil–plant systems along an altitudinal gradient in the Fanjing Mountain, Southwestern plateau of China","authors":"Xiuyuan Yang,&nbsp;Guiting Mu,&nbsp;Yingying Liu,&nbsp;Xianliang Wu,&nbsp;Wenmin Luo,&nbsp;Anding Li,&nbsp;Wenxing Nie","doi":"10.1007/s10661-025-13977-9","DOIUrl":"10.1007/s10661-025-13977-9","url":null,"abstract":"<div><p>Metallic micronutrients (Cu, Fe, etc.) play a crucial role in plant growth, but limited research has explored the distribution patterns and determinants of these elements within the soil–plant system along elevation gradients in highland alpine forest ecosystems. In this study, we focused on Fanjing Mountain, a highland forest ecosystem in Southwest China, to examine the distribution and partitioning of metal micronutrients (Cu, Fe, Zn, Mo, Ni) within the soil–plant system along an altitudinal gradient, and to identify factors influencing micronutrient dynamics in plants across varying elevations. The results showed that the average contents of Cu, Fe, Zn, Mo, and Ni in soil (plant) were 24.64 (11.96), 28784.38 (1185.17), 659.57 (60.23), 0.97 (0.77), and 25.42 (5.41) mg/kg, respectively. Micronutrient elements exhibited varied trends along the altitudinal gradient; notably, Zn content in both soil and plants increased with elevation. The enrichment capacity of plant branches and leaves for metal micronutrients also shifted with altitude, with Cu and Mo showing significantly higher enrichment levels compared to other elements. Metal micronutrient content of plants was influenced by environmental factors such as soil properties and location, where the effect of soil environmental factors on plant micronutrient content decreases with increasing altitude. These findings enhance our understanding of the biogeochemical cycling of metal micronutrients in highland alpine forest ecosystems and provide valuable insights for improving forest soil quality and vegetation conservation.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 5","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143801205","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":"Assessing water quality of River Mahananda, Malda, India using Cirrhinus reba as a bioindicator: Oxidative stress biomarkers and histopathological fingerprints","authors":"Mayukh Hore,&nbsp;Shubham Bhattacharyya,&nbsp;Debashis Chatterjee,&nbsp;Subhrajit Saha,&nbsp;Jayanta Kumar Biswas,&nbsp;Subhrajyoti Roy","doi":"10.1007/s10661-025-13969-9","DOIUrl":"10.1007/s10661-025-13969-9","url":null,"abstract":"<div><p>Environmental pollution has been seen to cause a catastrophic effect on the River Mahananda, Malda, West Bengal, due to the discharge of untreated urban wastes and wastewater into the riverine system resulting in the decline of several local fish species owing to deteriorating water quality. Hence, the objective of this work was to assess the alteration of different physicochemical parameters of water in the River Mahananda owing to pollution during various seasons, and to examine their toxicological effects on the intracellular antioxidant system and histological parameters in <i>Cirrhinus reba</i>. The WPIs of the polluted sampling sites declined significantly from fall to summer. The season-based principal component analysis indicated that TDS, dissolved oxygen, total hardness, total alkalinity, free chlorine, chloride, copper, and zinc were the most common descriptors for the physicochemical alterations of the River Mahananda, reflecting its prominent pollution portfolio. SOD, CAT, GPx, GR, and GSH were found significantly (<i>p</i> &lt; 0.05, <i>p</i> &lt; 0.01, and <i>p</i> &lt; 0.001) decreased in liver of <i>C. reba</i> collected from polluted sites compared to the control. The acetylcholinesterase activity was noted to increase significantly (<i>p</i> &lt; 0.05 and <i>p</i> &lt; 0.01) in an order of S2 &gt; S3 &gt; S4 &gt; S1. A several-fold increase in TBARS level was observed in <i>C. reba</i> collected from polluted sites during summer, compared to the control. Major histopathological changes were observed in summer and spring in liver, kidney and gill tissues of <i>C. reba</i>. In conclusion, while certain principal components were significant predictors for various biochemical parameters, the overall model showed varying degrees of predictive power, highlighting the need for further research with larger sample size and potentially more comprehensive modelling strategies.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 5","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143809227","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":"Associations between air pollutants and emergency ambulance dispatches for all-cause and nervous system disease in China Qingdao: a time-stratified case-crossover study","authors":"Yang Yu,&nbsp;Bingling Wang,&nbsp;Lu Pan,&nbsp;Nan Ge,&nbsp;Xiaocheng Gu,&nbsp;Yuan Fang,&nbsp;Hua Zhang,&nbsp;Jianjun Zhang,&nbsp;Yan Ma,&nbsp;Haiping Duan","doi":"10.1007/s10661-025-13955-1","DOIUrl":"10.1007/s10661-025-13955-1","url":null,"abstract":"<div><p>The health hazards of air pollution have been recognized worldwide, and emergency ambulance dispatches (EADs) data have excellent research value in the field of environmental health and wellness. This study evaluated EADs data from January 1, 2016 to December 31, 2019, in Qingdao to assess the impact of air pollution on all-cause as well as nervous system emergency ambulance dispatches (NS-EADs). This study adopted a time-stratified case-crossover design to construct a time-series distribution-lagged single-pollutant model to assess the effects of air pollution on all-cause and NS-EADs, stratified by gender, age, and season. Confounding factors that could affect the results were controlled for in the model. Air pollutants were positively associated with all-cause and NS-EADs. The findings of the single-day lag effect demonstrated positive associations between PM_2.5 (lag0 and lag1 days), CO (lag0 and lag1 days), PM₁₀ (lag0 and lag1 days), SO₂ (lag1 days), and NO₂ (lag1 days) with an increased risk of all-cause EADs. Additionally, O₃ (lag0 days), CO (lag0 days), PM₁₀ (lag0 days), and NO₂ (lag0 days) exhibited positive correlations with an elevated risk of NS-EADs. To be specific, with every 10 μg/m³ increase in the concentrations of O₃, CO, PM₁₀, and NO₂ at lag 0, there was a corresponding increase in NS-EADs risk of 0.67% (95% confidence interval, 0.05%, 1.30%); 0.05% (0.01%, 0.10%); 0.50% (0.13%, 0.87%); and 1.52% (0.24%, 2.82%), respectively. Stratified analysis revealed a higher risk of NS-EADs associated with air pollution, specifically observed in subgroups including individuals under 65 years old, males, and during the cold season. Air pollution was associated with all-cause EADs and NS-EADs, and males, people under 65 years old were more vulnerable to air pollution. Furthermore, the impact of air pollution is more pronounced during the cold season.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 5","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143801182","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":"Groundwater divide shifting due to pumping in a sector of the Doñana aquifer system (SW Spain): environmental implications","authors":"Manuel Olías,&nbsp;M. Dolores Basallote,&nbsp;Carlos R. Cánovas,&nbsp;Cristina Pérez-Carral","doi":"10.1007/s10661-025-13965-z","DOIUrl":"10.1007/s10661-025-13965-z","url":null,"abstract":"<div><p>The Doñana Natural Space (SW Spain) is considered one of the most important European wetlands, with many ecosystems depending on groundwater. As a consequence of intense groundwater withdrawals for urban use and, above all, irrigation, serious impacts have been observed in the eastern part of this aquifer, where the Doñana National Park is located. There is also groundwater exploitation in the western part of the aquifer, where a groundwater divide exists. The main goal of this work is to analyze the impact of groundwater withdrawals in this area. For this, the evolution of groundwater levels since 1968 in piezometers and pumping wells has been compiled and analyzed. This zone is characterized by the existence of a deep aquifer of high transmissivity, and a shallow aquifer with lower hydraulic conductivity, which behaves as an aquitard. Results show that pumping has caused a strong cone of depression in the deep aquifer, shifting the groundwater divide, and diverting water originally directed to the protected area, aggravating the overexploitation problems. Drawdowns in the shallow aquifer are lower and seem to be masked by the slow groundwater dynamic. However, a small lowering of the water table may cause severe impacts on such fragile ecosystems. The division of the aquifer for its management into six groundwater bodies belonging to two hydrographic districts has caused these important changes to go unnoticed until now. A proper coordination between the different water authorities managing groundwater and urgent adoption of remediation measures is essential.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 5","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10661-025-13965-z.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143801204","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":"Spatio-temporal dynamics of fish communities and habitat conditions in the Bichom River Basin","authors":"Gibji Nimasow,&nbsp;Ranjit Mahato,&nbsp;Santoshkumar Abujam,&nbsp;Debangshu Narayan Das","doi":"10.1007/s10661-025-13936-4","DOIUrl":"10.1007/s10661-025-13936-4","url":null,"abstract":"<div><p>The distribution and abundance of freshwater ichthyofauna are closely associated with habitat conditions and serve as good indicators of the ecosystem’s health. Various topographic, hydrological, and physico-chemical properties play a unique role in shaping ichthyofaunal distribution. A healthy freshwater habitat supports rich diversity and abundance. Thus, this study explores the habitat condition of river water and associates it with the ichthyofauna. Data were collected from three sampling sites across four seasons over three years (2021–2023). A total of 7793 fish individuals belonging to 2 orders, 6 families, 19 genera, and 37 species were collected during the study period. Thirteen habitat parameters were correlated with the ichthyofaunal indices. Additionally, KMO, Bartlett’s test, and PCA were estimated to assess the dimensionality of the habitat parameters. Finally, CCA was used to examine the association between habitat parameters and ichthyofauna. The CCA analysis revealed a significant association between selected habitat parameters and ichthyofauna. The study provides valuable information for the conservation and management planning of ichthyofauna in the Bichom River Basin.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 5","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143801181","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":"Quantitative study on reducing arsenic concentration in rice by sulfur fertilizer based on meta-analysis","authors":"Qilu He,&nbsp;Caiqing He,&nbsp;Wenjing Hou,&nbsp;Haiyan Mou,&nbsp;Wenqing Chen,&nbsp;Xinbin Zhou","doi":"10.1007/s10661-025-13937-3","DOIUrl":"10.1007/s10661-025-13937-3","url":null,"abstract":"<div><p>Arsenic (As), a toxic metalloid, is absorbed by rice and subsequently enters the human body through the food chain. Sulfur (S) possesses the capacity to reduce As accumulation in rice tissues and has been widely researched for its contributions to enhancing soil quality. However, a clear quantitative consensus regarding the impact of S application on As bioaccumulation and bioavailability has yet to be established. To gain a more nuanced understanding of the interaction between S and As, a comprehensive analysis was conducted on 318 data sets extracted from 23 articles. Both meta-regression and subgroup analyses were employed to investigate the effect of diverse variables on As accumulation in rice. The results indicated that S had a significant dose-dependent effect on reducing As accumulation in rice. The exogenous S significantly reduced the As concentration in rice by 8.95% and the optimal S/As ratio for inhibiting As accumulation was 1–20. Apart from sulfate S, the incorporation of elemental S, persulfate, thiosulfate, and gypsum has been demonstrated to significantly reduce As accumulation in rice. The exogenous S resulted in a significant reduction in <i>TF</i>_{<i>root to shoot</i>} content in rice, indicating that S application may impede the physiological process of As transfer from soil to the shoot of rice. Consequently, the exogenous S can effectively mitigate the As accumulation in rice, thereby offering a novel approach to reduce the As content in rice and minimize its detrimental impact on human health.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 5","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143809262","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 and temporal classification and prediction of aspen probability in boreal forests using machine learning algorithms","authors":"Dmitriy Troshin,&nbsp;Maksim Fayzulin,&nbsp;Denis Mirin","doi":"10.1007/s10661-025-13985-9","DOIUrl":"10.1007/s10661-025-13985-9","url":null,"abstract":"<div><p>Mapping and classifying the probability of occurrence of <i>Populus tremula</i> L. (aspen) in boreal forests is a complex task for sustainable forest management and biodiversity conservation. As a key broadleaved species in the taiga region, aspen supports both forestry and local biodiversity habitats. This study introduces a methodology to predict aspen presence using Sentinel- 2 satellite data and machine learning, combining binary classification (presence/absence) with probability estimation. We utilized spectral features (e.g., NDVI, EVI, SAVI) extracted from Sentinel- 2 imagery, employing a logistic regression model to classify aspen occurrence. To assess feature importance, we applied Permutation Importance (PI) and SHAP, enhancing model interpretability and ensuring transparency in identifying influential factors for forest management applications. Results revealed the significant role of spectral features in determining aspen growth probability. SAVI exhibited a strong effect on classification accuracy due to its soil correction capability, while EVI and NDVI proved highly important in summer, reflecting seasonal vegetation dynamics. High EVI values often indicate complex vegetation and conifer biomass, whereas aspen, with its distinct canopy and phenology, shows lower EVI compared to conifers. NDVI, tied to aspen’s photosynthetic activity, remained a reliable indicator in mixed taiga forests. The model achieved an overall accuracy of 94.77% with XGBoost and 95.03% with Random Forest across all seasons, demonstrating robust performance. This reliable aspen distribution data aids forestry planning, such as harvesting, and the algorithm automates inventorying and mapping aspen stands, reducing reliance on labor-intensive ground surveys.</p></div>","PeriodicalId":544,"journal":{"name":"Environmental Monitoring and Assessment","volume":"197 5","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143801203","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}