Zong-Lin Wu , Wen-Jing Shi , Lin Zhang , Zi-Yuan Xia , Min Gou , Zhao-Yong Sun , Yue-Qin Tang
{"title":"Investigating the robustness of microbial communities in municipal sludge anaerobic digestion under organic loading rate disturbance","authors":"Zong-Lin Wu , Wen-Jing Shi , Lin Zhang , Zi-Yuan Xia , Min Gou , Zhao-Yong Sun , Yue-Qin Tang","doi":"10.1016/j.jenvman.2024.123326","DOIUrl":"10.1016/j.jenvman.2024.123326","url":null,"abstract":"<div><div>Anaerobic digestion (AD) frequently encounters disturbances due to variations in organic loading rates (OLRs), which can result in the failure of the sludge treatment process. However, there is a lack of comprehensive studies on the robustness of AD systems against OLR disturbances and the underlying mechanisms. In this study, the responses of reactor performance and active microbial communities in mesophilic AD were investigated and compared under conditions of OLR shock and OLR fluctuation. Statistical analysis confirmed that all reactors recovered from both types of OLR disturbance, indicating both functional and structural robustness of the mesophilic community. Based on metagenomics and metatranscriptomics analyses, it was observed that high diversity within the microbial community led to functional redundancy, which appears to be a key mechanism contributing to the robustness against OLR disturbances. Additionally, for the first time, the potential metabolic diversity of aerobic autotrophy bacteria in AD reactors was identified, including their roles in the utilization of glucose and acetate. Furthermore, the analysis of topological properties within the microbial interaction network was conducted, and the robustness of the community network was verified through the application of random node deletion attacks. The findings from this study provide valuable information for the effective regulation of microbial communities and the design of practical AD systems.</div></div>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"372 ","pages":"Article 123326"},"PeriodicalIF":8.0,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142646383","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}
Tianying Shi , Yongcan Chen , Hong Zhang , Haoran Wang , Zhaowei Liu
{"title":"Clearing floating submerged vegetation leaves: An effective management to stabilize the clear state in shallow lakes?","authors":"Tianying Shi , Yongcan Chen , Hong Zhang , Haoran Wang , Zhaowei Liu","doi":"10.1016/j.jenvman.2024.123263","DOIUrl":"10.1016/j.jenvman.2024.123263","url":null,"abstract":"<div><div>Achieving sustainable clear states in eutrophic shallow lakes is challenging due to the lag between nutrient load reductions and ecosystem response, often resulting in regime shifts. Submerged vegetation tends to fall off and float to the surface and block light due to the instability of freshly restored lakes, a key feature in influencing whether lakes deteriorate again. However, the mechanisms linking such transient shading to regime shifts remain unclear. This study conducted in situ experiments that quantified the shading effect of floating submerged vegetation leaves. We introduced the novel parameters, light interception coefficients and function that served as a crucial link between experimental findings and numerical models. Notably, we developed an innovative module specifically designed to assess the impacts of different clearing measures on aquatic ecosystems, which had been seamlessly integrated into the PCLake model. This practical model was applied to Xinglong Lake, recently ecologically restored, to simulate variations in key ecological indicators (total phosphorus (TP), total nitrogen (TN), chlorophyll-a (Chl-a), submerged vegetation biomass (DVeg)) and identify regime shift thresholds under different nutrient loads, initial time and time intervals of leaf clearing. The experimental results showed that light interception coefficients exhibited a subtle pattern, initially increasing slightly with water depth before declining, ranging from 0.573 m<sup>2</sup>/kg to 0.982 m<sup>2</sup>/kg for <em>Vallisneria natans</em>. The scenarios simulations demonstrated that prolonging clearing intervals from 0 to 120 days resulted in elevated TP, TN, and Chl-a concentrations, accompanied by a decline in DVeg, even causing the lake to a turbid state. Resuming daily clearing after a period of cessation proved ineffective in restoring the lake ecosystem if a regime shift had occurred. As nutrient loads and interception coefficients increased, the time intervals for triggering regime shifts shortened. We conservatively recommended that leaf clearing intervals should not exceed 10 days and ideally begin by March to ensure sufficient light for submerged vegetation. The study provides valuable insights into the impact of transient shading from floating leaves on regime shifts and offers scientific guidance for maintaining shallow lakes sustainably clear.</div></div>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"372 ","pages":"Article 123263"},"PeriodicalIF":8.0,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142643662","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":"Sustained energy generation from unusable waste steel through microbial assisted fuel cell systems","authors":"Babu Indira Bijimol , Rubina Basheer , Bhuvanendran Revamma Sreelekshmy , Chanassery Vinayababu Geethanjali , Sheik Muhammadhu Aboobakar Shibli","doi":"10.1016/j.jenvman.2024.123330","DOIUrl":"10.1016/j.jenvman.2024.123330","url":null,"abstract":"<div><div>In the present study, a novel green energy generation process assisted with Microbial Fuel Cell (MFC) principle for generation of electricity from used or wasted steel is explored. Through a unique approach, unused and other steel waste are recast by simple re-melting with a flexible wide composition for generation of green energy. A microbial-assisted electron transfer derived from the degradation of the steel material is utilized for production of green energy in a microbial galvanic reactor system. <em>A. ferrooxidans</em> acts as biocatalysts, facilitating the oxidization of ferrous ion (Fe<sup>2+</sup>) to ferric ion (Fe<sup>3+</sup>). The reaction takes place on the biofilm matrix which results in oxidised reactive zones that endorses further degradation or dissolution of Fe anode. This consequently results in achieving the highest power density as high as 4.92 ± 0.03 mW/cm<sup>2</sup> at a current density of 0.01 ± 9 mA/cm<sup>2</sup>. The total cost of the unusable steel anode and other accessories are roughly estimated to be 7.94 $/m<sup>2</sup> and 178.54 $/m<sup>2</sup> and the gain from unit power generation is estimated to be 3.79 $/W, assuming continuous operation of 4.92 ± 0.03 mW/cm<sup>2</sup>. The present study presents a potent methodology/strategy for the generation of sustainable bioenergy from low-cost, unusable steel materials, which cannot be anyway used as such in other battery systems, say iron air cells/batteries.</div></div>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"372 ","pages":"Article 123330"},"PeriodicalIF":8.0,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142643702","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}
Shuai Feng, Guiwen Liu, Tianlong Shan, Kaijian Li, Sha Lai
{"title":"Predicting green technology innovation in the construction field from a technology convergence perspective: A two-stage predictive approach based on interpretable machine learning","authors":"Shuai Feng, Guiwen Liu, Tianlong Shan, Kaijian Li, Sha Lai","doi":"10.1016/j.jenvman.2024.123203","DOIUrl":"10.1016/j.jenvman.2024.123203","url":null,"abstract":"<div><div>The construction industry, as a major global energy consumer and carbon emitter, plays a crucial role in achieving global sustainability. A key strategy for the green transformation of this industry—without compromising development—involves fostering green technology innovation. Nevertheless, existing studies exhibit a notable gap in identifying and evaluating potential green technology innovation opportunities within the construction field, leading to a scarcity of decision-making information for governments and innovation entities during the research and development stage. Recognizing this, our study proposes a two-stage technology opportunity prediction approach based on interpretable machine learning from the perspective of technology convergence. Diverging from previous methods, it not only predicts the probability of technology opportunity occurrence but also forecasts the technical impact of convergence opportunities. By analysing 600,442 patent documents in the green and construction fields, we identify 305 high-potential technology convergence opportunities. Our results reveal that technologies such as carbon capture and storage, pollution alarms, solar energy, forestry techniques, wind energy, energy-saving methods, and waste materials for water treatment have significant potential for convergence with construction technologies. Additionally, we analyse the influencing factors behind these convergence innovations, finding that technical similarity and proximity play crucial roles. These findings provide robust decision support for governments and industry stakeholders in formulating scientifically grounded green technology innovation strategies, thereby accelerating the green transformation of the construction industry and contributing to the goal of sustainable development.</div></div>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"372 ","pages":"Article 123203"},"PeriodicalIF":8.0,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142643697","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":"Microplastics: The imperative influencer in blueprint of blue economy","authors":"Abha Gupta , Aishee Ghosh , Anu Yadav , Apoorv Kirti , Sudakshya S. lenka , Snehasmita Jena , Utsa Saha , Shaikh Sheeran Naser , Aditya Nandi , Adrija Sinha , Mrutyunjay Suar , Nagendra Kumar Kaushik , Vishakha Raina , Suresh K. Verma","doi":"10.1016/j.jenvman.2024.123300","DOIUrl":"10.1016/j.jenvman.2024.123300","url":null,"abstract":"<div><div>The burgeoning issue of microplastic pollution in marine ecosystems has emerged as a significant concern, presently multifaceted difficulty to the sustainability and prosperity of the blue economy. This review examines the intricate link between microplastics (MPs) and the blue economy (BE), exploring how microplastics infiltrate marine environments, their persistence, and their impacts on economic activities reliant on healthy oceans in a global scenario. Diminished seafood quality and quantity, degraded coastal aesthetics affecting tourism revenues, and increased operational costs due to fouling and contamination are among the economic repercussions identified. Additionally, the review discusses the potential long-term consequences on human health and food security, emphasizing the urgency for proactive mitigation measures and policy interventions in the global scenario. The study highlights the interconnectedness of the blue economy and environmental health, prompting a comprehensive strategy to mitigate microplastic pollution. It calls for collaborative efforts among stakeholders, including policymakers, industries, academia, and civil society, to develop innovative strategies for combating microplastic pollution and promoting sustainable blue economic practices. In conclusion, the review stresses the pressing need for concerted action to address microplastic threats to the blue economy, recommending science-based policies, technological innovations, and public awareness campaigns to protect marine ecosystems and ensure the resilience and prosperity of ocean-dependent economic activities.</div></div>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"372 ","pages":"Article 123300"},"PeriodicalIF":8.0,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142646395","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}
Tiantian Gu , Yongchao Wang , Lingzhi Li , Yanan Dai , Wenxiu Chang
{"title":"An enhanced dynamic-network-based framework for quantifying and enhancing the resilience of disaster response networks to old communities under rainstorm waterlogging","authors":"Tiantian Gu , Yongchao Wang , Lingzhi Li , Yanan Dai , Wenxiu Chang","doi":"10.1016/j.jenvman.2024.123098","DOIUrl":"10.1016/j.jenvman.2024.123098","url":null,"abstract":"<div><div>Developing effective disaster response networks (DRNs) is crucial for mitigating the impacts of rainstorm waterlogging in old communities. Aiming at providing implementable strategies for enhancing DRN resilience, this paper developed an enhanced dynamic network analysis (DNA)-based framework for DRNs utilizing the DNA and CRITIC-VIKOR method. This framework conceptualizes community disaster response as a three-stage ‘agent-information-resource-task’ (A-I-R-T) dynamic network, facilitating a comprehensive understanding of interactions among stakeholders, disaster information, emergency resources, and response tasks. Subsequently, a hybrid evaluation model combining CRITIC and VIKOR methods was established to quantify DRN resilience by assessing deviations from ideal response scenarios. Validated through a case study of the Y community in Xuzhou city of China, the findings reveal significant variations in stakeholder communication effectiveness across different stages of disaster response, with resilience peaking during the function recovery stage at 0.292. This study not only contributes to the body of knowledge in disaster management and resilience theory but also provides actionable strategies for enhancing DRN resilience, thereby contributing to more resilient urban environments.</div></div>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"372 ","pages":"Article 123098"},"PeriodicalIF":8.0,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142646163","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":"Inclusive Indian Central Himalayan soil carbon estimates underscores significant inorganic carbon contribution and temporal dynamics: Implications for carbon sequestration","authors":"Siddhartha Kaushal, Ratul Baishya","doi":"10.1016/j.jenvman.2024.123312","DOIUrl":"10.1016/j.jenvman.2024.123312","url":null,"abstract":"<div><div>Soil carbon estimates in the Indian Himalayan region—a global climate change hotspot—primarily rely on the lossy wet oxidation method and predominantly focus on soil organic carbon (SOC), neglecting the soil inorganic carbon (SIC) component. Sensitive and holistic soil carbon estimates are crucial for effective policy planning. By incorporating eight major Central Himalayan forest types along a 3000 m elevational gradient, we report that the acidic Himalayan soil (surface soil pH: 4.74–6.84) of the selected forest types hold up to 31% of the total soil carbon stock as SIC stock. Using soil carbon and soil organic matter assays based on elemental analyzer and the loss-on-ignition method, we established that these Himalayan soils store less than 50% of SOC in SOM, challenging the use of universal factors in the region. The amount of SOC in SOM also showed temporal variability. The machine learning Random Forest algorithm highlighted the influence of SOM and climate variables in regulating the distribution of SOC, microbial biomass carbon, and key carbon cycling soil enzymes. The vertical distribution of SOC was more uniform than that of SIC. We found higher activity of soil carbon-cycling enzymes (dehydrogenase, beta-glucosidase, and phenol oxidase) in the forest types. Sensitive and higher soil carbon estimates substantiate a lower microbial quotient (0.17–1.23 %) than the regional trend. Notably, we explained how seasonal and temporal changes in soil carbon estimations hinder a constant positive soil carbon flux. Meanwhile, the mean surface SOC flux (4.63 Mg C ha<sup>−1</sup> yr<sup>−1</sup>) and SIC flux (1.68 Mg C ha<sup>−1</sup> yr<sup>−1</sup>) indicate that the Himalayan soils have significant potential for carbon sequestration. In conclusion, our research indicates substantial soil organic and inorganic carbon storage in major Central Himalayan forest types, with negative anthropogenic activities posing a clear and present threat to the soil carbon stocks.</div></div>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"372 ","pages":"Article 123312"},"PeriodicalIF":8.0,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142646380","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}
Bowen Sun , Na Li , Guoyu Wang , Xueping Gao , Xushen Zhou , Fanqing Kong
{"title":"Contribution for lake phytoplankton community succession under multi-source artificial hydrological regulation","authors":"Bowen Sun , Na Li , Guoyu Wang , Xueping Gao , Xushen Zhou , Fanqing Kong","doi":"10.1016/j.jenvman.2024.123351","DOIUrl":"10.1016/j.jenvman.2024.123351","url":null,"abstract":"<div><div>In aquatic ecosystems, phytoplankton, as key primary producers, are extremely sensitive to environmental changes. Artificial hydrological regulation, as a water resource management strategy, affects the water quality and ecological environment of the receiving water area. Particularly under multi-source replenishment conditions, the spatiotemporal nonlinear response of water quality poses a challenge to quantify the contribution of multi-source replenishment to the phytoplankton community succession in large lakes. For example, Baiyangdian Lake (BL) has implemented multi-source artificial hydrological regulation measures, including the diversion of the Yellow River into the BL (Xiaobai River), the South-to-North Water Diversion Project (Baigouyin River) and the replenishment of upstream reservoirs (Xiaoyi River, Bao River and Fu River). Physicochemical parameters and phytoplankton community data were surveyed from 2017 to 2020 in July (summer) and October (autumn). The ecological impacts of artificial hydrological regulation were investigated by quantifying the correlations between physicochemical parameters and phytoplankton communities and by quantifying the contribution of artificial hydrological regulation to key factors. The results show that under the artificial hydrological regulation, the phytoplankton community was still dominated by Chlorophyta and Cyanophyta, but the emergence of Xanthophyta and Chrysophyta indicated that the cleanliness of the water column was improved, and the biodiversity indicators showed a fluctuating upward trend, which suggested that the succession trend was favorable. Ammonia nitrogen (NH<sub>3</sub>-N), total phosphorus (TP), and dissolved oxygen (DO) are the key factors affecting phytoplankton community succession in BL. The replenishment sources contribution index (RSCI) was used to characterize the spatiotemporal response of the key factors, and it was found that Fu River has the highest contribution of more than 30%, followed by Xiaoyi River with a contribution of more than 25%. The spatial distribution of RSCI shows that the area with high RSCI values (>0.9) of Fu River accounts for more than 50% of the total area, the area with high RSCI values (>0.9) of Xiaoyi River accounts for more than 35%. Under the comprehensive influence of the RSCI of each replenishment source, the phytoplankton biodiversity index of BL increased from north to south. This study provides basic support for BL in realizing the optimized artificial hydrological regulation strategy and enhancing the ecological restoration benefits in the receiving water area.</div></div>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"372 ","pages":"Article 123351"},"PeriodicalIF":8.0,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142646326","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}
Guanzhou Ren , Yuyang Ji , Henghui Fan , Yuan Gao , Tao Wu , Zhen Zhu , Gaowen Zhao
{"title":"Exploring the influence and predictive role of waste acidic calcium on the water stability and mechanical behavior of strongly alkaline dispersive subsoil","authors":"Guanzhou Ren , Yuyang Ji , Henghui Fan , Yuan Gao , Tao Wu , Zhen Zhu , Gaowen Zhao","doi":"10.1016/j.jenvman.2024.123290","DOIUrl":"10.1016/j.jenvman.2024.123290","url":null,"abstract":"<div><div>Strongly alkaline dispersive soils pose a significant global challenge to both engineering applications and agricultural production, particularly in arid and semi-arid regions. Conventional soil modifiers used to address this issue not only present environmental and economic concerns but also fail to effectively improve soil alkalinity. This study investigates the potential application of acidic desulfurization gypsum (DG) as a soil modifier for dispersive soils, aiming to achieve high-value utilization of industrial solid waste. The dispersibility of soil under hydrostatic and dynamic conditions are studied using the mud ball test and pinhole test. The engineering properties and modification mechanism of DG consolidated soils were revealed by combining the unconfined compressive strength (UCS), Brazilian split tensile strength (BTS), microstructure, and mineral evolution. Results show that 3% DG significantly reduces soil dispersibility and improves disintegration and erosion resistance, with UCS and BTS increases of 210% and 94%, respectively. The mechanism involves DG releasing hydrogen ions to reduce soil alkalinity, which in turn activates cation activity of DG, replacing sodium ions on the soil surface and forming a binding hydrate within 7 days. Tests on natural dispersive soil from check dams confirmed effectiveness of DG. Advanced machine learning techniques quantitatively analyzed the impact of DG on soil dispersibility, highlighting the relationship between soil dispersibility and chemical/mechanical properties. This study establishes a novel link between hydraulic erosion parameters, mechanical parameters, and soil stress-strain relationships, providing valuable insights for future soil stabilization. The results show potential of waste acidic DG in practical engineering applications and contribute to the sustainable advancement of dispersive soil stabilization technology. Alkaline dispersive soils also aid in regulating the acidity and alkalinity of DG and controlling toxic emissions.</div></div>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"372 ","pages":"Article 123290"},"PeriodicalIF":8.0,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142646312","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}
Zhi Zhang , Yu Wei , Ling Tang , Zhi Wang , Xuetian Hu , Xinting Li , Yixing Bi , Baorong Huang
{"title":"Co-management enhances social capital and recognition of protected area: Perspectives from indigenous rangers on the Qinghai-Tibet Plateau","authors":"Zhi Zhang , Yu Wei , Ling Tang , Zhi Wang , Xuetian Hu , Xinting Li , Yixing Bi , Baorong Huang","doi":"10.1016/j.jenvman.2024.123346","DOIUrl":"10.1016/j.jenvman.2024.123346","url":null,"abstract":"<div><div>Indigenous rangers play a critical role in achieving global biodiversity goals by facilitating effective conservation and community development. However, there is limited knowledge about rangers' livelihoods and responses to conservation policies. This study examined indigenous rangers' perceptions of livelihood impacts and attitudes toward national park management in Three-River-Source National Park (TRSNP). Utilizing a household questionnaire survey, data from 228 valid responses were analyzed. Results indicate that rangers had positive attitudes toward the impacts of TRSNP on their livelihood capitals, despite increased patrol costs. Since the establishment of TRSNP, average household income and the evenness of income sources have increased significantly, along with improved community relations, participation in public affairs and children's education. Rangers with higher incomes, better neighborhood relations, and a belief in increased conservation capacity held more positive views of national park management. In contrast, rangers who are older, those patrolling closer to home and with larger families expressed more negative feedback. This study adds new evidence on indigenous rangers' livelihood and their perceptions, and suggests the need to understand the impacts of biodiversity policies on indigenous and local rangers to achieve equitable and right-based conservation. Our findings emphasize the importance of inclusive and participatory approaches to enhance conservation and development goals, particularly for vulnerable demographic groups.</div></div>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"372 ","pages":"Article 123346"},"PeriodicalIF":8.0,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142646189","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}