Journal of Environmental Management最新文献

{"title":"Fine-scale mapping and nonlinear attribution of heavy metal(loid)s in urban soils using spatially enhanced machine learning algorithms.","authors":"Haoyu Wang, Yong Zhu, Rongyang Li, Hongbei Gao, Cheng Liu, Shengdao Shan, Nicholas Clarke","doi":"10.1016/j.jenvman.2026.131206","DOIUrl":"https://doi.org/10.1016/j.jenvman.2026.131206","url":null,"abstract":"<p><p>Sparse sampling and spatial heterogeneity constrain the prediction of heavy metal(loid)s in urban soils. Using 77 composite surface-soil samples from Hangzhou, China, we compared Random Forest, XGBoost, and Support Vector Regression (SVR) for eight elements under three predictor schemes: environmental variables (ENV), ENV with local spatial lags (ENV + SL), and ENV + SL with interpolation-derived predictors (ENV + SL + SP). Standalone interpolation and ENV-based regression kriging provided additional comparisons. Selected models achieved pooled out-of-fold R² values of 0.322-0.555, with the lowest value for Cd and the highest for Pb. XGBoost performed best for six elements, whereas SVR performed best for Mn and Pb. ENV + SL + SP was selected for seven elements, while Pb was best predicted by ENV-only SVR. The best ENV + SL + SP models exceeded the stronger ordinary kriging or inverse distance weighting baseline by 0.040-0.343 in R². Residual kriging improved ENV-only predictions in 15 of 24 comparisons. ENV-only SHAP analysis identified element-specific associations with soil properties, vegetation, precipitation, and road proximity. Predictions were generated for 82,782 grid cells at 250 m resolution. Conditional residual-bootstrap ranges for background-exceedance area were approximately 79-85% for As, 83-91% for Cd, 52-62% for Cu, and 43-54% for Zn. Based on out-of-fold exceedance detection, maps for As, Cu, and Zn may help prioritize confirmatory sampling, whereas those for Cd, Cr, Mn, Ni, and Pb should primarily support preliminary screening. Independent field validation remains necessary, and low predicted concentrations cannot exclude localized hotspots.</p>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"419 ","pages":"131206"},"PeriodicalIF":9.2,"publicationDate":"2026-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149223023","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Revealing the spatial heterogeneity of pine wilt disease spread in China through Geographical Pattern Causality analysis.","authors":"Wei Yang, Hongwei Zhou, Haochang Hu, Wenlu Wang, Haojie Zhang, Guofei Fang","doi":"10.1016/j.jenvman.2026.131205","DOIUrl":"https://doi.org/10.1016/j.jenvman.2026.131205","url":null,"abstract":"<p><p>Pine wilt disease (PWD) is one of the most destructive invasive forest diseases in China, yet the environmental drivers underlying its spatially heterogeneous spread remain poorly understood. This study aimed to characterize the spatial and temporal patterns of natural PWD dispersal, identify persistent hotspots, and determine region-specific environmental drivers of PWD habitat suitability. We developed an integrated framework combining dispersal screening, biomod2 ensemble modelling, SaTScan spatiotemporal scan statistics, and Geographical Pattern Causality (GPC) analysis to examine PWD spread and its environmental drivers at national and regional scales. Natural dispersal increased markedly after 2016 and reached a peak of 9728 newly affected subcompartments in 2020. At the national scale, Altitude, mean diurnal temperature range (Bio2), and normalized difference vegetation index (NDVI) were the dominant determinants of habitat suitability, with relative importance values of 27.52%, 25.29%, and 21.87%, respectively. However, GPC analysis confirmed pronounced spatial heterogeneity among the SaTScan-identified hotspot regions during the outbreak period. In hotspot region A, Aspect and Slope showed the strongest positive causal relationships on PWD suitability, with causal strengths of 0.361 and 0.284, respectively. In contrast, Altitude and Slope showed strong negative effects in hotspot region C, with strengths of 0.591 and 0.520, respectively. Wind speed showed negative causal relationships with PWD habitat suitability across all hotspot regions. These findings demonstrate that the environmental drivers of PWD vary substantially across spatial scales and hotspot regions, highlighting the importance of incorporating regional heterogeneity into PWD monitoring, risk assessment, and differentiated management.</p>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"419 ","pages":"131205"},"PeriodicalIF":9.2,"publicationDate":"2026-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149222969","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Optimizing dryland ecological restoration: Unveiling the lagged and nonlinear threshold effects on carbon-water compound use efficiency.","authors":"Xin Li, Xu Li, Yang Chen, Ziyan Zhou, Weiguang Zeng, Xinchuang Chen, Chunchun An, Jinrong Li, Zhi Dong","doi":"10.1016/j.jenvman.2026.131189","DOIUrl":"https://doi.org/10.1016/j.jenvman.2026.131189","url":null,"abstract":"<p><p>Ecological restoration regulates carbon water processes in arid and semi-arid ecosystems, yet its lagged and threshold effects remain unclear. Using multi-source remote sensing data from 2000 to 2022, we identified forest restoration regions, shrubland-grassland restoration regions, and gradual vegetation restoration regions (VRRs) in the Ningxia-Inner Mongolia Reach of the Yellow River and quantified their lagged effects on carbon use efficiency (CUE), water use efficiency (WUE), and carbon-water compound use efficiency (COM) using distributed lag nonlinear models. VRRs dominated restoration, with restoration occurring earlier in the semi-arid area. CUE showed a dominant response at lag 5, whereas WUE and COM showed lagged responses at lag 3-5 in the arid area but immediate responses in the semi-arid area. Restoration thresholds varied by climate. In the arid area, SGRRs and VRRs had a safe restoration range of 23%-48% for annual newly added restoration proportion at the 1-km grid-cell scale, while negative WUE and COM responses emerged when restoration exceeded approximately 60%, associated with lag 3-5 effects. In the semi-arid area, restoration could exceed 60% without adverse effects. FRRs showed a low threshold of 10%-15%, SGRRs an optimal threshold of approximately 52%, and VRRs a higher threshold of 49%-61%. These findings provide a basis for climate-specific ecological restoration that maximizes long-term carbon-water synergies.</p>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"419 ","pages":"131189"},"PeriodicalIF":9.2,"publicationDate":"2026-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149222945","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"A blessing or a curse? The impact of artificial intelligence innovation on corporate energy efficiency.","authors":"Xu Dong, Shuai Lv, Shubin Yang, Xiaomeng Zhao","doi":"10.1016/j.jenvman.2026.131176","DOIUrl":"https://doi.org/10.1016/j.jenvman.2026.131176","url":null,"abstract":"<p><p>This study examines how artificial intelligence (AI) innovation influences corporate energy efficiency and the underlying mechanisms. We develop a general equilibrium model incorporating energy input and endogenous AI technology to explain how AI innovation improves energy efficiency through production process optimization. Using a deep-learning-based text identification, we develop a firm-level measure of AI innovation for Chinese listed companies over the period 2008-2022. Our empirical results show that AI innovation significantly improves corporate energy efficiency, while the mechanism analysis provides evidence consistent with production process optimization as an important transmission channel. This positive effect is stronger among firms operating in key technological sectors and capital-intensive industries. Further, we find that disruptive AI innovation produces a larger effect than general AI innovation. We also document that local governments' attention to AI development and intra-firm data sharing strengthen the energy-efficiency gains associated with AI innovation. This study contributes to research on digital innovation and firm sustainability by showing how AI-driven innovation translates into efficiency-enhancing outcomes through organizational and data-governance mechanisms.</p>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"419 ","pages":"131176"},"PeriodicalIF":9.2,"publicationDate":"2026-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149223026","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Gas-solid migration and stabilization of sulfur during thermal treatment of sulfur-rich coal gangue: A multi-waste management strategy.","authors":"Dexin Xu, Xuyao Qi, Mujun Chen, Huiyong Niu, Wencai Wang, Xinyu Wang, Lanjun Zhang, Yaqi Qin","doi":"10.1016/j.jenvman.2026.131195","DOIUrl":"https://doi.org/10.1016/j.jenvman.2026.131195","url":null,"abstract":"<p><p>Sulfur-rich coal gangue can release sulfur-containing gases during thermal utilization and mine backfilling; however, the coupling relationship between sulfur transformation and the evolution of Fe-bearing minerals remains poorly understood. In this study, ion chromatography, thermogravimetric analysis, X-ray diffraction, Fourier-transform infrared spectroscopy, X-ray photoelectron spectroscopy, and gas analysis were systematically integrated to elucidate sulfur migration behavior during thermal treatment and to evaluate waste-derived sulfur-fixing agents prepared from steel slag and shell powder through water and alkali activation. The results revealed that sulfur occurred predominantly in pyrite and underwent a stepwise transformation of S₂^2- → S_n^2- (n > 2)/S⁰ → S(VI), mainly as SO₄^2-, accompanied by the oxidation of iron from Fe(II)-S to Fe(II)-O and Fe(III)-O. SO₂ release was most pronounced at approximately 500 °C, identifying the critical temperature range for sulfur-emission control. The alkali-activated agent maintained an SO₂ inhibition efficiency above 96.67% at 300-500 °C and increased sulfur retention from 41% to 70% compared with the water-activated agent. Although alkali activation did not substantially alter the CaCO₃-dominated crystalline composition, it promoted reactive sulfur capture and sulfate formation in the solid residue. This study establishes a coupled Fe-S transformation mechanism and demonstrates a sustainable waste-derived approach for converting gaseous sulfur emissions into stable solid phases, providing new insights into the mitigation of sulfur-related environmental risks during sulfur-rich coal gangue utilization.</p>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"419 ","pages":"131195"},"PeriodicalIF":9.2,"publicationDate":"2026-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149223029","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Government-commissioned industrial wastewater governance: A tripartite evolutionary game of local governments, third-party pollution control enterprises, and non-state-owned polluting enterprises.","authors":"Yuanbo Chang, Kang Tian, Annan Chen, Zhenhua Zhang","doi":"10.1016/j.jenvman.2026.131170","DOIUrl":"https://doi.org/10.1016/j.jenvman.2026.131170","url":null,"abstract":"<p><p>In China's government-commissioned industrial-park and public industrial-wastewater projects, local government (LG) purchases third-party pollution control enterprises (TPPCEs), while non-state-owned polluting enterprises (NSOPEs) provide operational cooperation. However, treatment providers may reduce effort after receiving payment, and NSOPEs may refuse cooperation when participation costs exceed expected benefits. To examine these interconnected problems, this study develops a tripartite evolutionary game involving LG, TPPCEs, and NSOPEs. The model distinguishes fixed contract payments from performance-based rewards and breach penalties and incorporates cost sharing when NSOPEs refuse cooperation while compliant treatment continues. Local stability analysis and numerical simulations across five scenarios reveal three findings. First, unconditional fixed payments do not change TPPCEs' relative incentives to comply, whereas performance rewards and breach penalties strengthen compliance incentives under LG's active governance. Second, TPPCEs' compliance and NSOPEs' participation depend on distinct payoff thresholds. Third, breach penalties and cost sharing complement each other when both compliance and participation incentives are insufficient. Together, they can support stable joint governance when LG monitoring incentives are also adequate. These findings clarify how contractual incentives and participation conditions jointly determine cooperation and provide a basis for targeting the specific constraints preventing stable wastewater governance.</p>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"419 ","pages":"131170"},"PeriodicalIF":9.2,"publicationDate":"2026-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149222965","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Precipitation buffers gully erosion through vegetation cover across the Tibetan Plateau.","authors":"Jianjun Li, Juying Jiao, Yixian Chen, Yulan Chen, Xiaohua Ren, Ziqi Zhang, Tongde Chen, Xue Cao, Wenting Zhao, Qian Xu, Lin Liu, Jinshi Jian","doi":"10.1016/j.jenvman.2026.131173","DOIUrl":"https://doi.org/10.1016/j.jenvman.2026.131173","url":null,"abstract":"<p><p>Gully erosion is important trace left by soil erosion, and its density characteristics are regarded as a significant indicator of land degradation. The Tibetan Plateau, with little human influence, is an ideal site for studying the natural development of gullies. In this study, three indicators, namely gully number density (GND), gully length density (GLD) and gully area density (GAD), were used to investigate the spatial pattern of gully erosion on the Tibetan Plateau. The optimized XGboost algorithm and spatialized SHapley Additive exPlanations were employed to model three gully densities, and identifies the significance of driving factors along with the response relationships of gully density to these factors. The results reveal that arid regions in the northern Tibetan Plateau are high-value areas for gully density. Mean annual precipitation (MAP) dominates the gully density spatial pattern, followed by elevation and slope steepness. The two indicators of the cryosphere, namely, the permafrost thermal stability and the snow cover days, had the least impact on gully density. This indicates that gully erosion is dominated by precipitation rather than freeze-thaw. The inhibitory effect of MAP on gully erosion was observed, mainly through its role in promoting vegetation growth. Additionally, this study identified two key MAP thresholds of 150 mm and 400 mm, which play an important role in gully density. Specifically, in arid regions with MAP below 150 mm and in semi-humid to humid regions with MAP exceeding 400 mm, MAP emerges as the dominant factor. In contrast, within semi-arid areas (150 mm < MAP < 400 mm), the dominant influencing factors are more complex. Through quantitative assessment, this study reveals that gully erosion on the Tibetan Plateau is mainly driven by precipitation rather than freeze-thaw. Moreover, at a regional scale, precipitation suppresses gully erosion by promoting vegetation cover, rather than promotes gully erosion. These findings offer new insights for the gully erosion mechanism, provide an important perspective for research on the dominant drivers of soil erosion, and deliver guidance for soil and water conservation efforts on the Tibetan Plateau.</p>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"419 ","pages":"131173"},"PeriodicalIF":9.2,"publicationDate":"2026-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149222979","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Tillage practices affect the synergetic relationship between soil organic carbon and crop yield under straw return.","authors":"Menghan Dong, Jinkang Yang, Yalin Yu, Li Li, Ahmad Latif Virk, Haishui Yang, Feng-Min Li, Zheng-Rong Kan","doi":"10.1016/j.jenvman.2026.131193","DOIUrl":"https://doi.org/10.1016/j.jenvman.2026.131193","url":null,"abstract":"<p><p>Straw returning is a pivotal strategy to enhance soil organic carbon (SOC) concentration and crop yield. However, the synergy between these two outcomes and its spatial variability under different tillage practices remain poorly quantified. Therefore, we conducted a meta-analysis using 1767 paired observations from 222 studies in China, including 726 SOC comparisons and 1041 yield comparisons, with 428 observations contributing to both analyses. Observations with complete baseline soil data were then combined with harmonized gridded spatial predictors to generate scenario-based adaptation maps. Our findings demonstrate that straw return significantly increased SOC concentration by 10.66% and crop yield by 7.96% compared to straw removal, with a significant positive correlation between the two responses. The strength of this synergy, however, was strongly modulated by crop type and tillage practice, and differed between topsoil and subsoil layers. Notably, subsoiling (SS) and no-till (NT) more frequently produced simultaneous benefits for both SOC and yield, whereas conventional tillage (CT) and rotary tillage (RT) showed greater variability. However, these estimates carry uncertainty due to uneven observational coverage for certain crops and the inherent limitations of grid-based environmental data. Our findings suggest that strategic combinations of straw return with appropriate tillage and crop selection can effectively reconcile SOC concentration with productivity goals. We conclude that region-specific adaptation is essential for sustainable agricultural management under straw return.</p>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"419 ","pages":"131193"},"PeriodicalIF":9.2,"publicationDate":"2026-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149222989","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Corrigendum to \"Natural attenuation and engineering-based removal of marine algal toxins: current status and future perspectives\" [J. Environ. Manag. 418 (2026) 131061].","authors":"Lianbao Chi, Donald M Anderson, Xiaona Zhang, Mingbao Feng, Yongquan Yuan, Xihua Cao, Wentao Wang, Zhiming Yu, Xiuxian Song","doi":"10.1016/j.jenvman.2026.131141","DOIUrl":"https://doi.org/10.1016/j.jenvman.2026.131141","url":null,"abstract":"","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":" ","pages":"131141"},"PeriodicalIF":9.2,"publicationDate":"2026-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149190358","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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":"Event-driven changes in ecosystem service supply-demand balance and flows in a Winter Olympic host region","authors":"Pengfei Sun,&nbsp;Mingzhao Yu,&nbsp;Guizhen He,&nbsp;Xiaoqian Li,&nbsp;Xinchuang Chen,&nbsp;Shuai Song,&nbsp;Yajuan Shi","doi":"10.1016/j.jenvman.2026.131038","DOIUrl":"10.1016/j.jenvman.2026.131038","url":null,"abstract":"<div><div>Mega-events such as the Olympic Games can drive profound socio-environmental transformations in host regions, but their impacts on ecosystem service supply-demand dynamics and service flows remain poorly understood. This study assesses the spatiotemporal dynamics of four key ecosystem services in Chongli District, China (Beijing, 2022 Winter Olympics venue area), covering the preparation, event, and post-Olympics phases. Results show that the supply-demand ratio for water yield service significantly declined during the event period, followed by gradual recovery in the post-Olympic phase. Conversely, soil conservation and habitat quality services maintain a stable surplus overall. Spatially, the Winter Olympic and residential areas exhibit high demand for water yield and carbon sequestration services, with an increasing trend of supply-demand imbalance. Service flow analysis further reveals that carbon sequestration and habitat quality services primarily transfer from areas with a high supply-demand ratio to regions of intensive human activity, with the Winter Olympic area being the main recipient and showing an increasing service flow intensity. Socioeconomic factors, including population density, nighttime light, and built-up percentage, tend to undermine the supply-demand balance, with this inhibitory impact being especially pronounced within the Winter Olympic area. Moreover, threshold analysis revealed nonlinear driver effects on ecosystem service supply-demand balance. Nighttime light and built-up expansion mainly weakened the balance of water yield and carbon sequestration services, whereas precipitation enhanced water yield balance after crossing a critical level, and increasing population pressure further reduced habitat quality balance. This study supports actionable management, including flow-informed zoning, threshold-based development caps and compensation schemes to maintain water security, carbon sinks and habitat conservation in mega-event host regions.</div></div>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"418 ","pages":"Article 131038"},"PeriodicalIF":9.2,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149073010","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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}