Environmental Science and Pollution Research最新文献

{"title":"Bioremediation processes for removing plutonium from the environment: a review","authors":"Shaghayegh Zafar,&nbsp;Mostafa Hadei,&nbsp;Mahmood Alimohammadi","doi":"10.1007/s11356-026-38278-7","DOIUrl":"10.1007/s11356-026-38278-7","url":null,"abstract":"<div><p>Plutonium (Pu) contamination poses a significant and persistent environmental challenge due to its radiotoxicity, long half-life, and mobility in ecosystems. Traditional remediation approaches, such as soil excavation, chemical stabilization, and vitrification, are often prohibitively expensive, environmentally disruptive, and generate secondary radioactive waste. Bioremediation, an emerging and sustainable alternative, utilizes microorganisms and plants to sequester, transform, or immobilize plutonium in contaminated environments. Advances in synthetic biology, genetic engineering, and nanotechnology have enhanced the feasibility and efficiency of bioremediation strategies. This review provides an in-depth analysis of bioremediation mechanisms, challenges, and recent developments, with a focus on integrating biological, chemical, and technological innovations for effective plutonium decontamination. By addressing current knowledge gaps and highlighting future research directions, this review aims to establish bioremediation as a viable, cost-effective, and environmentally sustainable approach for nuclear waste management.</p></div>","PeriodicalId":545,"journal":{"name":"Environmental Science and Pollution Research","volume":"33 32","pages":"16178 - 16195"},"PeriodicalIF":5.8,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149098191","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"Differential responses of Chlorella and Micractinium to algicidal bacteria in varying organic carbon environments","authors":"Bo Zhang,&nbsp;Feifei Zhang,&nbsp;Xiaoyan Wang,&nbsp;Zhaojun Ji,&nbsp;Huanyu Li,&nbsp;Ziyin Zhang,&nbsp;Yanru Su","doi":"10.1007/s11356-026-38264-z","DOIUrl":"10.1007/s11356-026-38264-z","url":null,"abstract":"<div><p>Microbial control of algae has emerged as a promising strategy due to its environmental sustainability and high efficiency. Four algicidal bacterial strains (<i>Serratia</i> N-1, <i>Proteus</i> N-2, <i>Pseudomonas</i> F5-2, and <i>Pseudomonas</i> F11) were isolated from lake sediment and identified via 16S rRNA gene sequencing. Their effects on <i>Chlorella</i> and <i>Micractinium</i> under different nutritional conditions were explored. Under autotrophic conditions, all strains showed negligible inhibition on <i>Chlorella</i> but approximately 20% inhibition against <i>Micractinium</i>, with no distinct difference between bacterial cultures and supernatants. Under glucose-supplemented mixotrophic conditions, algicidal performance against <i>Chlorella</i> was remarkably enhanced: <i>Serratia</i> N-1 achieved over 99% inhibition within 3 days, while <i>Proteus</i> N-2, <i>Pseudomonas</i> F5-2 and <i>Pseudomonas</i> F11 reached 79%, 47% and 60% on day 7, respectively. The comparable efficacy of supernatants and cultures indicated that extracellular metabolites dominated algicidal activity. For <i>Micractinium</i>, only the culture of <i>Serratia</i> N-1 exhibited strong inhibition; its supernatant and the other strains showed no inhibitory effects. In sucrose systems, the algicidal capacity of all strains was largely weakened. Notably, <i>Serratia</i> N-1 switched from a strong algicidal agent to a growth promoter for <i>Chlorella</i>, increasing algal biomass by fivefold. In conclusion, the presence and type of organic carbon sources in co-culture systems significantly modulate bacterial algicidal phenotypes. This study provides a scientific basis for understanding algae-bacteria interactions and the nutritional regulation of algicidal activity under varying carbon environments.</p></div>","PeriodicalId":545,"journal":{"name":"Environmental Science and Pollution Research","volume":"33 32","pages":"16345 - 16358"},"PeriodicalIF":5.8,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149098190","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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 novel multivariate vine-copula–based drought index with application to high-elevation catchments","authors":"Zanib Badar,&nbsp;Ishfaq Ahmad,&nbsp;Touqeer Ahmad,&nbsp;Ibrahim Mufrah Almanjahie","doi":"10.1007/s11356-026-38256-z","DOIUrl":"10.1007/s11356-026-38256-z","url":null,"abstract":"<div><p>Drought is a complex, slowly evolving hazard governed by multiple interacting hydro-climatic factors, making it difficult to monitor, characterize, and predict. Conventional single-variable indices fail to capture the nonlinear, asymmetric dependence between precipitation and temperature—a limitation that is particularly critical in data-scarce, high-mountain catchments, where incomplete drought characterization undermines the reliability of early-warning systems. To address this, we propose a novel vine-copula-based Multivariate Drought Index (VMDI) that integrates the Standardized Precipitation Index (SPI), the Standardized Precipitation Evapotranspiration Index (SPEI), and the Standardized Precipitation Temperature Index (SPTI) within a flexible, station-adaptive dependence-modeling framework. VMDI’s key novelty lies in its station-adaptive canonical vine (C-vine) copula structure in which each index is first transformed into uniform pseudo-observations via rank-based empirical CDFs. Dependence is then decomposed into unconditional (Tree 1) and conditional (Tree 2) pair-copulas with SPTI as the root variable, capturing both direct interactions and joint behavior conditioned on SPTI. Copula families are selected locally via information criteria, and Kendall’s <span>(varvec{tau })</span> values derived from the fitted vine structure yield physically consistent, station-specific index weights. Validated across six stations in the Upper Indus Basin (UIB), VMDI substantially outperforms benchmark indices for precipitation-driven drought signals, achieving agreement improvements of 15<i>–</i>30%, MAE reductions exceeding 50%, skill-score gains of 30<i>–</i>40%, F1-score improvements of 33<i>–</i>37%, and lower-tail dependence coefficients above 0.70, while maintaining low conditional entropy (CE <span>(varvec{&lt;} varvec{0.99})</span>). For evapotranspiration-related drought conditions, JSDI outperforms VMDI relative to SPEI by about 27<i>–</i>38%, with the greatest improvements observed at the glacier-influenced stations of Bunji and Gilgit. Overall, VMDI and JSDI offer a complementary and operationally robust framework for comprehensive drought monitoring across complex mountain catchments.</p></div>","PeriodicalId":545,"journal":{"name":"Environmental Science and Pollution Research","volume":"33 32","pages":"16359 - 16379"},"PeriodicalIF":5.8,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s11356-026-38256-z.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149098321","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"Experimental investigation and PGCN-based prediction of the mechanical properties of recycled nylon fiber reinforced concrete using waste fishing nets","authors":"G L Abishek,&nbsp;P John Thangam,&nbsp;Siva Avudaiappan,&nbsp;D R Anand Rejilin","doi":"10.1007/s11356-026-38243-4","DOIUrl":"10.1007/s11356-026-38243-4","url":null,"abstract":"<div><p>Marine plastic pollution has grown to be an alarming problem in recent years, and abandoned nylon fishing nets are a key contributing factor. In order to improve concrete’s mechanical qualities and sustainability, this study looks into recycling waste fibers. This study suggests conducting an experiment to examine the durability and mechanical characteristics of concrete reinforced with recycled nylon fibers. This work’s main goal is to evaluate the efficacy of recycled nylon fibers derived from waste fishing nets in improving the mechanical characteristics and longevity of masonry. Initially, the input data is collected from Concrete Compressive Strength dataset. A Progressive Graph Convolutional Network is used to forecast Concrete reinforced with recycled nylon fiber: its mechanical characteristics (RNRC) (PGCN). Concrete mixtures with zero, one, two, and three percent recycled nylon fibers were tested mechanically using standard testing methods. Compressive, tensile, and flexural strength measures were part of these testing. Compared with conventional concrete, the RNRC containing 3% recycled nylon fibers achieved significant improvements in mechanical performance, Tensile strength increased from 2.67 MPa to 3.45 MPa (29.21%), and compressive strength increased from 23.37 MPa to 28.07 MPa (20.11%) and flexural strength increasing from 3.27 MPa to 8.10 MPa (147.71%) after 28 days of curing. By contrasting RNRC with regular concrete, the study demonstrates how recycled fibers can enhance concrete performance while fostering environmental sustainability. The proposed method is implemented in MATLAB. The study provides a comparison between RNRC with standard concrete, demonstrating that recycled nylon fibers can enhance concrete performance while promoting environmental sustainability.</p></div>","PeriodicalId":545,"journal":{"name":"Environmental Science and Pollution Research","volume":"33 32","pages":"16438 - 16454"},"PeriodicalIF":5.8,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149098192","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"From marine biomass to sustainable adsorbents: comparative evaluation of polyaniline, Posidonia oceanica-derived activated carbon, and their composite for Murexide removal","authors":"Assia Hassen,&nbsp;Amel Ben Slimane","doi":"10.1007/s11356-026-38260-3","DOIUrl":"10.1007/s11356-026-38260-3","url":null,"abstract":"<div><p>The development of sustainable and high-performance adsorbents remains a critical challenge in wastewater treatment. In this work, polyaniline (PANI), activated carbon derived from <i>Posidonia oceanica</i> (ACPO), and a PANI/ACPO hybrid composite were synthesized and evaluated for Murexide adsorption from aqueous solutions. The approach combines abundant marine biomass valorization with a nitrogen-rich conducting polymer to develop efficient adsorbents for water treatment. Physicochemical characterization confirmed the successful conversion of <i>Posidonia oceanica</i> biomass into hierarchically porous activated carbon (ACPO) and the homogeneous incorporation of PANI in its doped emeraldine state within the hybrid composite framework. Strong interfacial interactions, mainly π–π stacking and hydrogen bonding, ensured good dispersion of the polymer phase and preservation of accessible adsorption sites. PANI and PANI/ACPO exhibited comparable adsorption capacities (333.33 and 322.58 mg·g⁻¹, respectively), both significantly higher than ACPO (149.25 mg·g⁻¹), highlighting the dominant contribution of the polymer phase within the composite system. Equilibrium data fitted the Langmuir model for PANI-based materials, while ACPO followed the Freundlich isotherm (<i>R</i>² ≈ 0.966), indicating surface heterogeneity and multilayer adsorption. Experimental kinetic data were consistent with the pseudo-second-order model. Evaluation of the thermodynamic parameters (ΔG° &lt; 0, ΔH° &gt; 0, and ΔS° &gt; 0) indicated favorable adsorption behavior promoted at elevated temperatures and dominated by physical interactions. Intraparticle diffusion and boundary layer effects contributed to the overall adsorption rate, particularly for ACPO, highlighting the role of pore diffusion in mass transfer. Mechanistically, adsorption is governed by electrostatic forces, π–π donor–acceptor associations between aromatic moieties, hydrogen bonding, and diffusion within the porous network, indicating the coexistence of multiple uptake pathways. Overall, the PANI/ACPO composite combines structural porosity and surface functionality, making it a sustainable adsorbent for efficient Murexide removal from aqueous systems.</p><h3>Graphical Abstract</h3>\u0000<div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":545,"journal":{"name":"Environmental Science and Pollution Research","volume":"33 32","pages":"16404 - 16437"},"PeriodicalIF":5.8,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149098189","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Integrating process parameters and green hydroxyapatite (HAP) strategies for sustainable dark fermentative biohydrogen production","authors":"Shishita Zahan Zisha,&nbsp;Hasfalina Che Man,&nbsp;Rozita Omar,&nbsp;Suraya Abdul Rashid,&nbsp;Jian Ping Tan,&nbsp;Shareena Fairuz Abdul Manaf,&nbsp;Tabassum Mumtaz,&nbsp;Nur Syakina Jamali","doi":"10.1007/s11356-026-38274-x","DOIUrl":"10.1007/s11356-026-38274-x","url":null,"abstract":"<div><p>The production of biohydrogen through dark fermentation represents an important pathway for recovering renewable, carbon–neutral energy from organic waste. However, challenges such as low yield and process instability still limit its scalability. This review provides a detailed overview of the physicochemical and operational factors pH, temperature, inoculum characteristics, organic loading, and reactor configuration that affect microbial performance and hydrogenase activity. In addition to summarizing these fundamental processes, the review introduces a new perspective by incorporating innovations in green materials. Special attention is given to hydroxyapatite (HAP), a sustainable bio-additive derived from waste that enhances cell immobilization, pH buffering, and metabolic stability through the controlled release of Ca²⁺ and PO₄³⁻ ions. A comparative analysis of different synthesis methods for physical, chemical, biological, and waste-based HAP highlights their versatility and potential in promoting a circular economy. By integrating process optimization principles with multifunctional HAP strategies, this review establishes a conceptual link between bioprocess engineering and materials science, offering a framework for developing more efficient, resilient, and environmentally friendly biohydrogen production systems.</p></div>","PeriodicalId":545,"journal":{"name":"Environmental Science and Pollution Research","volume":"33 32","pages":"16155 - 16177"},"PeriodicalIF":5.8,"publicationDate":"2026-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149099204","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"Retraction Note: Synthesis of omega-3 mediated copper (ω-3-Cu) and copper oxide (ω-3-CuO) nanocatalyst dual application of dye decolourization and aerobic oxidation of eco-friendly sustainable approach","authors":"Janani Mullaivendhan,&nbsp;Anis Ahamed,&nbsp;Raman Gurusamy,&nbsp;Idhayadhulla Akbar","doi":"10.1007/s11356-026-38270-1","DOIUrl":"10.1007/s11356-026-38270-1","url":null,"abstract":"","PeriodicalId":545,"journal":{"name":"Environmental Science and Pollution Research","volume":"33 31","pages":"16130 - 16130"},"PeriodicalIF":5.8,"publicationDate":"2026-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149079359","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"Managing oil spills in aquatic environments: detection techniques and sustainable remediation strategies","authors":"Mrinmoy Dhar,&nbsp;Amiya Ojha,&nbsp;Palash Dey,&nbsp;Deeplina Das","doi":"10.1007/s11356-026-38257-y","DOIUrl":"10.1007/s11356-026-38257-y","url":null,"abstract":"<div><p>Oil spills remain one of the most severe sources of aquatic pollution, causing long-term ecological, economic, and social impacts on marine and freshwater environments. This review provides a comprehensive assessment of global oil spill research by integrating historical case studies, bibliometric analysis, oil spill behavior, detection technologies, and remediation strategies into a unified framework. A bibliometric analysis is presented to identify publication trends, major research themes, and emerging directions in oil spill research. Subsequently, the review examines major historical and recent oil spill incidents and discusses influence of physicochemical properties and weathering of spilled oil on its transport, fate, and environmental impacts. Effectiveness of physical, chemical, in situ burning and biological remediation approaches are also compared, highlighting their respective advantages and limitations. The review also evaluates recent advances in active and passive remote sensing technologies for oil spill detection and monitoring, including their applicability to surface and submerged oil. Based on the literature, bioremediation emerges as the most environmentally sustainable and cost-effective remediation approach, while remote sensing combined with machine learning offers significant potential for improving the accuracy and efficiency of oil spill detection and response. The review concludes that future research should prioritize integrated monitoring systems, environmentally sustainable remediation technologies, and predictive modeling tools to strengthen oil spill preparedness. By combining bibliometric insights with technical and environmental perspectives, this review identifies current research gaps and provides a comprehensive reference to support future advances in oil spill management, contributing to the achievement of the United Nations Sustainable Development Goals 6 and 14.</p><h3>Graphical abstract\u0000</h3>\u0000<div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":545,"journal":{"name":"Environmental Science and Pollution Research","volume":"33 32","pages":"16131 - 16154"},"PeriodicalIF":5.8,"publicationDate":"2026-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149079337","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"Human health risk assessments of plastic-related compounds (phenolics, phthalates and PBDEs) in selected stream water and fish consumed in Nigeria","authors":"Kehinde Oluwasiji Olorunfemi,&nbsp;Olamilekan John Olowolagba,&nbsp;Gideon Aina Idowu,&nbsp;Adewumi Yetunde Oriji,&nbsp;Ibrahim Attai Isah,&nbsp;Ademola Festus Aiyesanmi","doi":"10.1007/s11356-026-38242-5","DOIUrl":"10.1007/s11356-026-38242-5","url":null,"abstract":"<div><p>In this study, we conducted human health risk assessments of plastic-related chemicals (phenolics, phthalates, and polybrominated diphenyl ethers) associated with drinking water and fish consumption in Nigeria. Water samples were obtained from three typical streams that provide drinking water for some rural populace. Twenty-three species of fish were obtained from sources typical of where members of the public obtain fish for consumption — a major market, artisanal fishery on the Lagos Lagoon, and artisanal fishery on the Osun River. Phenolic, phthalate and PBDE compounds were extracted separately from the water and fish samples, and quantified by gas chromatography–mass spectrometry (GC–MS). Risk assessments were performed using established models provided by the United States Environment Protection Agency (US EPA). Hazard index (HI) for the individual groups — phenolics, phthalates and PBDEs — exceeded the safe threshold of 1.0 in all the stream waters. This implies that the sum of concentration of chemicals of each group is sufficiently high to induce non-carcinogenic effects in exposed humans. The individual chemical (4-NP, BPA, DEHP, DBP, BBP and DnOP) had 100% detection frequency in all the fish samples. Sum of PBDEs (BDE-28, BDE-47, BDE-99, BDE-100, BDE-153 and BDE-154) in fish from the different sources also exceeded the set Environmental Quality Standard (EQS) value of 8.5 × 10⁻⁶ by several orders of magnitude. Target cancer risk (TCR) for DEHP in the stream waters ranged from 0.003 to 0.007, exceeding the cancer risk acceptable threshold of 10⁻⁶ to 10⁻⁴. Similarly, TCR due to DEHP in the fish species from all sources ranged from 2 × 10⁻⁵ to 1.5 × 10⁻³, exceeding the 10⁻⁶ safe threshold. The results indicate that prolonged consumption of DEHP-contaminated fish from these sources poses a significant risk of cancer to exposed persons.</p></div>","PeriodicalId":545,"journal":{"name":"Environmental Science and Pollution Research","volume":"33 32","pages":"16328 - 16344"},"PeriodicalIF":5.8,"publicationDate":"2026-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149079233","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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":"Human–wildlife conflict and technological mitigation strategies: a systematic review","authors":"Lokesh Ganpat Kamde,&nbsp;Sandip S. Khedkar,&nbsp;Sharad S. Chaudhari","doi":"10.1007/s11356-026-38232-7","DOIUrl":"10.1007/s11356-026-38232-7","url":null,"abstract":"<div><p>The conflict between human and wildlife is called human–wildlife conflict (HWC). This poses a major obstacle to conservation and to human safety. Following PRISMA 2020 guidelines, this systematic review aimed to explore HWC incidents, contributing factors, mitigation, and technological interventions. The collected information is analyzed for the main categories of conflict, involvement of species, mitigation results, and effectiveness of technological solutions. The results indicated that crop raiding, depredation on livestock, and human attack were the most reported HWC incidents and the most involved species are elephants, tigers, monkeys, and crocodiles. Strong governance, agriculture expansion, habitat fragmentation, and settlement by humans are identified as the major contributors to HWC. The review also confirmed that technological solutions, such as artificial intelligence (AI), deep learning, and machine learning, had positive impacts on the detection, tracking, generation of early warnings, and prediction of conflicts with wildlife. The results of the meta-analysis showed that deep learning techniques had the highest technological effectiveness, 0.83, followed by machine learning (0.76), AI-based systems (0.72), and sensor-based technologies (0.58). The review finds integrated approaches to HWC mitigation using advanced technologies, ecological conservation, and community engagement are the most sustainable ways to minimize HWC and ensure long-term human–wildlife coexistence.</p></div>","PeriodicalId":545,"journal":{"name":"Environmental Science and Pollution Research","volume":"33 31","pages":"15918 - 15934"},"PeriodicalIF":5.8,"publicationDate":"2026-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149079429","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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}