Environmental Science and Ecotechnology最新文献

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The 2023 report of the synergetic roadmap on carbon neutrality and clean air for China: Carbon reduction, pollution mitigation, greening, and growth 《2023年中国碳中和与清洁空气协同路线图:减碳、减缓污染、绿化与增长》报告。
IF 14 1区 环境科学与生态学
Environmental Science and Ecotechnology Pub Date : 2025-01-01 DOI: 10.1016/j.ese.2024.100517
Jicheng Gong , Zhicong Yin , Yu Lei , Xi Lu , Qiang Zhang , Cilan Cai , Qimin Chai , Huopo Chen , Renjie Chen , Wenhui Chen , Jing Cheng , Xiyuan Chi , Hancheng Dai , Zhanfeng Dong , Guannan Geng , Jianlin Hu , Shan Hu , Cunrui Huang , Tiantian Li , Wei Li , Kebin He
{"title":"The 2023 report of the synergetic roadmap on carbon neutrality and clean air for China: Carbon reduction, pollution mitigation, greening, and growth","authors":"Jicheng Gong ,&nbsp;Zhicong Yin ,&nbsp;Yu Lei ,&nbsp;Xi Lu ,&nbsp;Qiang Zhang ,&nbsp;Cilan Cai ,&nbsp;Qimin Chai ,&nbsp;Huopo Chen ,&nbsp;Renjie Chen ,&nbsp;Wenhui Chen ,&nbsp;Jing Cheng ,&nbsp;Xiyuan Chi ,&nbsp;Hancheng Dai ,&nbsp;Zhanfeng Dong ,&nbsp;Guannan Geng ,&nbsp;Jianlin Hu ,&nbsp;Shan Hu ,&nbsp;Cunrui Huang ,&nbsp;Tiantian Li ,&nbsp;Wei Li ,&nbsp;Kebin He","doi":"10.1016/j.ese.2024.100517","DOIUrl":"10.1016/j.ese.2024.100517","url":null,"abstract":"<div><div>The response to climate change and air pollution control demonstrates strong synergy across scientific mechanisms, targets, strategies, and governance systems. This report, based on a monitoring indicator system for coordinated governance of air pollution and climate change, employs an interdisciplinary approach combining natural and social sciences. It establishes 20 indicators across five key areas: air pollution and climate change, governance systems and practices, structural transformation and technologies, atmospheric components and emission reduction pathways, and health impacts and co-benefits. This report tries to provide actionable insights into the interconnectedness of air pollution and climate governance. It highlights key policy gaps, presents updated indicators, and offers a refined monitoring framework to track progress toward China's dual goals of reducing emissions and improving air quality. Compared to previous editions, this year's report has updated four key indicators: meteorological impacts on air quality, climate change and its effects, governance policies, and low-carbon building energy systems. The aim is to further refine the monitoring framework, track progress, and establish a comprehensive theory for collaborative governance while identifying challenges and proposing solutions for China's pathway to carbon neutrality and clean air. The report comprises six chapters. The executive summary chapter is followed by analyzing air pollution and climate change interactions. Governance systems and practices are discussed in the third chapter, focusing on policy implementation and local experiences. The fourth chapter addresses structural transformations and emission reduction technologies, including energy and industrial shifts, transportation, low-carbon buildings, carbon capture and storage, and power systems. The fifth chapter outlines atmospheric component dynamics and emission pathways, presenting insights into emission drivers and future strategies. The sixth chapter assesses health impacts and the benefits of coordinated actions. Since 2019, China Clean Air Policy Partnership has produced annual reports on China's progress in climate and air pollution governance, receiving positive feedback. In 2023, the report was co-developed with Tsinghua University's Carbon Neutrality Research Institute, involving over 100 experts and multiple academic forums. The collaboration aims to continuously improve the indicator system and establish the report as a key resource supporting China's efforts in pollution reduction, carbon mitigation, greening, and sustainable growth.</div></div>","PeriodicalId":34434,"journal":{"name":"Environmental Science and Ecotechnology","volume":"23 ","pages":"Article 100517"},"PeriodicalIF":14.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11665702/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142883115","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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}
引用次数: 0
Synergistic air pollution exposure elevates depression risk: A cohort study 协同空气污染暴露增加抑郁症风险:一项队列研究
IF 14 1区 环境科学与生态学
Environmental Science and Ecotechnology Pub Date : 2024-11-22 DOI: 10.1016/j.ese.2024.100515
Yuqing Hao , Longzhu Xu , Meiyu Peng , Zhugen Yang , Weiqi Wang , Fanyu Meng
{"title":"Synergistic air pollution exposure elevates depression risk: A cohort study","authors":"Yuqing Hao ,&nbsp;Longzhu Xu ,&nbsp;Meiyu Peng ,&nbsp;Zhugen Yang ,&nbsp;Weiqi Wang ,&nbsp;Fanyu Meng","doi":"10.1016/j.ese.2024.100515","DOIUrl":"10.1016/j.ese.2024.100515","url":null,"abstract":"<div><div>Depression is a leading mental health disorder worldwide, contributing substantially to the global disease burden. While emerging evidence suggests links between specific air pollutants and depression, the potential interactions among multiple pollutants remain underexplored. Here we show the influence of six common air pollutants on depressive symptoms among middle-aged and older Chinese adults. In single-pollutant models, a 10 μg m<sup>−3</sup> increase in SO<sub>2</sub>, CO, PM<sub>10</sub>, and PM<sub>2.5</sub> is associated with increased risks of depressive symptoms, with odds ratios (95% confidence intervals) of 1.276 (1.238–1.315), 1.007 (1.006–1.008), 1.066 (1.055–1.078), and 1.130 (1.108–1.153), respectively. In two-pollutant models, SO<sub>2</sub> remains significantly associated with depressive symptoms after adjusting for other pollutants. Multi-pollutant models uncover synergistic effects, with SO<sub>2</sub>, CO, NO<sub>2</sub>, PM<sub>10</sub>, and PM<sub>2.5</sub> exhibiting significant interactions, identifying SO<sub>2</sub> as the primary driver of these associations. Mediation analyses further indicate that cognitive and physical impairments partially mediate the relationship between air pollution and depressive symptoms. These findings underscore the critical mental health impacts of air pollution and highlight the need for integrated air quality management strategies. Targeted mitigation of specific pollutants, particularly SO<sub>2</sub>, is expected to significantly enhance public mental health outcomes.</div></div>","PeriodicalId":34434,"journal":{"name":"Environmental Science and Ecotechnology","volume":"23 ","pages":"Article 100515"},"PeriodicalIF":14.0,"publicationDate":"2024-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142746566","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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}
引用次数: 0
Augmented machine learning for sewage quality assessment with limited data 利用有限数据进行污水质量评估的增强型机器学习
IF 14 1区 环境科学与生态学
Environmental Science and Ecotechnology Pub Date : 2024-11-17 DOI: 10.1016/j.ese.2024.100512
Jia-Qiang Lv , Wan-Xin Yin , Jia-Min Xu , Hao-Yi Cheng , Zhi-Ling Li , Ji-Xian Yang , Ai-Jie Wang , Hong-Cheng Wang
{"title":"Augmented machine learning for sewage quality assessment with limited data","authors":"Jia-Qiang Lv ,&nbsp;Wan-Xin Yin ,&nbsp;Jia-Min Xu ,&nbsp;Hao-Yi Cheng ,&nbsp;Zhi-Ling Li ,&nbsp;Ji-Xian Yang ,&nbsp;Ai-Jie Wang ,&nbsp;Hong-Cheng Wang","doi":"10.1016/j.ese.2024.100512","DOIUrl":"10.1016/j.ese.2024.100512","url":null,"abstract":"<div><div>Physical, chemical, and biological processes within sewers significantly alter sewage composition during conveyance. This leads to the formation of sulfide and methane—compounds that contribute to sewer corrosion and greenhouse gas emissions. Reliable modeling of these compounds is essential for effective sewer management, but the development of machine learning (ML) models is hindered by differences in data accessibility and sampling frequencies of water quality variables. Here we present a mechanistically enhanced hybrid (ME-Hybrid) model that combines mechanistic modeling with data-driven approaches. This model harmonizes datasets with varying sampling frequencies and generates synthetic samples for ML training, thereby enhancing the monitoring of methane and sulfide in sewers. The optimal ME-Hybrid model integrates the backpropagation neural network with mechanistic frequency harmonization. We demonstrate that the ME-Hybrid model outperforms pure ML and linear interpolation in capturing fluctuating trends and extremes of sulfide concentrations, achieving a coefficient of determination (R<sup>2</sup>) of 0.94. Synthetic samples generated through mechanistic augmentation closely approximate real samples in modeling performance, statistical distribution, and data structure. This enables the model to maintain high predictive accuracy (R<sup>2</sup> &gt; 0.76) for sulfide even when trained on only 50 % of the dataset. Additionally, the ME-Hybrid model successfully assesses sewer methane concentrations with an R<sup>2</sup> of 0.94, validating its applicability and generalization ability. Our results provide a reliable methodological framework for modeling and prediction under data scarcity. By facilitating better monitoring and management of sewer systems, the ME-Hybrid model aids in the development of strategies that minimize environmental impacts, enhance urban resilience, and ultimately lead to sustainable urban water systems.</div></div>","PeriodicalId":34434,"journal":{"name":"Environmental Science and Ecotechnology","volume":"23 ","pages":"Article 100512"},"PeriodicalIF":14.0,"publicationDate":"2024-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142705674","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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}
引用次数: 0
Accelerating the establishment of a new science-policy panel to address the triple planetary crisis 加快建立新的科学政策小组,应对三重地球危机
IF 14 1区 环境科学与生态学
Environmental Science and Ecotechnology Pub Date : 2024-11-01 DOI: 10.1016/j.ese.2024.100498
Junyu Wang, Fengchang Wu, Huan Zhong, Xiaoli Zhao, Zhi Tang, Lin Niu, Xia Wang
{"title":"Accelerating the establishment of a new science-policy panel to address the triple planetary crisis","authors":"Junyu Wang,&nbsp;Fengchang Wu,&nbsp;Huan Zhong,&nbsp;Xiaoli Zhao,&nbsp;Zhi Tang,&nbsp;Lin Niu,&nbsp;Xia Wang","doi":"10.1016/j.ese.2024.100498","DOIUrl":"10.1016/j.ese.2024.100498","url":null,"abstract":"","PeriodicalId":34434,"journal":{"name":"Environmental Science and Ecotechnology","volume":"22 ","pages":"Article 100498"},"PeriodicalIF":14.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142573512","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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}
引用次数: 0
Rapid identification of antibiotic resistance gene hosts by prescreening ARG-like reads 通过预筛选类似 ARG 的读数快速识别抗生素耐药基因宿主
IF 14 1区 环境科学与生态学
Environmental Science and Ecotechnology Pub Date : 2024-10-29 DOI: 10.1016/j.ese.2024.100502
Zhiguo Su , April Z. Gu , Donghui Wen , Feifei Li , Bei Huang , Qinglin Mu , Lyujun Chen
{"title":"Rapid identification of antibiotic resistance gene hosts by prescreening ARG-like reads","authors":"Zhiguo Su ,&nbsp;April Z. Gu ,&nbsp;Donghui Wen ,&nbsp;Feifei Li ,&nbsp;Bei Huang ,&nbsp;Qinglin Mu ,&nbsp;Lyujun Chen","doi":"10.1016/j.ese.2024.100502","DOIUrl":"10.1016/j.ese.2024.100502","url":null,"abstract":"<div><div>Effective risk assessment and control of environmental antibiotic resistance depend on comprehensive information about antibiotic resistance genes (ARGs) and their microbial hosts. Advances in sequencing technologies and bioinformatics have enabled the identification of ARG hosts using metagenome-assembled contigs and genomes. However, these approaches often suffer from information loss and require extensive computational resources. Here we introduce a bioinformatic strategy that identifies ARG hosts by prescreening ARG-like reads (ALRs) directly from total metagenomic datasets. This ALR-based method offers several advantages: (1) it enables the detection of low-abundance ARG hosts with higher accuracy in complex environments; (2) it establishes a direct relationship between the abundance of ARGs and their hosts; and (3) it reduces computation time by approximately 44–96% compared to strategies relying on assembled contigs and genomes. We applied our ALR-based strategy alongside two traditional methods to investigate a typical human-impacted environment. The results were consistent across all methods, revealing that ARGs are predominantly carried by Gammaproteobacteria and Bacilli, and their distribution patterns may indicate the impact of wastewater discharge on coastal resistome. Our strategy provides rapid and accurate identification of antibiotic-resistant bacteria, offering valuable insights for the high-throughput surveillance of environmental antibiotic resistance. This study further expands our knowledge of ARG-related risk management in future.</div></div>","PeriodicalId":34434,"journal":{"name":"Environmental Science and Ecotechnology","volume":"23 ","pages":"Article 100502"},"PeriodicalIF":14.0,"publicationDate":"2024-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142658588","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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}
引用次数: 0
Mitigating household air pollution exposure through kitchen renovation 通过厨房改造减少家庭空气污染暴露
IF 14 1区 环境科学与生态学
Environmental Science and Ecotechnology Pub Date : 2024-10-22 DOI: 10.1016/j.ese.2024.100501
Yatai Men , Ke Jiang , Yaoji Li , Ran Xing , Zhihan Luo , Tianyao Huang , Shuyu Ou'yang , Wei Du , Yuanchen Chen , Guofeng Shen
{"title":"Mitigating household air pollution exposure through kitchen renovation","authors":"Yatai Men ,&nbsp;Ke Jiang ,&nbsp;Yaoji Li ,&nbsp;Ran Xing ,&nbsp;Zhihan Luo ,&nbsp;Tianyao Huang ,&nbsp;Shuyu Ou'yang ,&nbsp;Wei Du ,&nbsp;Yuanchen Chen ,&nbsp;Guofeng Shen","doi":"10.1016/j.ese.2024.100501","DOIUrl":"10.1016/j.ese.2024.100501","url":null,"abstract":"<div><div>Globally, over three billion people rely on traditional solid fuels for cooking and heating, leading to significant household air pollution and critical public health concerns. While transitioning to clean energy carriers faces challenges of accessibility and affordability—especially among low-income, rural populations—alternative strategies like kitchen layout modifications and the use of ventilation fans may effectively reduce exposure to pollutants. Here, we analyze factors influencing the adoption of separated kitchens and mechanical ventilation and evaluate changes in human exposure to PM<sub>2.5</sub> under different kitchen renovation scenarios by conducting a nationwide survey of household kitchen characteristics in rural China. We found that although 82% of rural households have kitchens separated from other rooms, only 34% use mechanical ventilation. The adoption of ventilation fans is significantly influenced by income and education levels. We estimate that widespread implementation of ventilation fans and separated kitchen designs could prevent approximately 67400 premature deaths annually, resulting in a health benefit of about USD 19 billion per year—substantially exceeding the costs involved. These findings suggest that cost-effective kitchen renovations offer enormous potential for substantial health benefits and present a practical solution compared to the challenges of clean energy transitions in rural areas.</div></div>","PeriodicalId":34434,"journal":{"name":"Environmental Science and Ecotechnology","volume":"23 ","pages":"Article 100501"},"PeriodicalIF":14.0,"publicationDate":"2024-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142573022","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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}
引用次数: 0
Enhanced removal of chiral emerging contaminants by an electroactive biofilter 利用电活性生物滤池提高手性新污染物的去除率
IF 14 1区 环境科学与生态学
Environmental Science and Ecotechnology Pub Date : 2024-10-22 DOI: 10.1016/j.ese.2024.100500
Álvaro Pun , Jesús Valimaña-Traverso , María Ángeles García , María Luisa Marina , Abraham Esteve-Núñez , Karina Boltes
{"title":"Enhanced removal of chiral emerging contaminants by an electroactive biofilter","authors":"Álvaro Pun ,&nbsp;Jesús Valimaña-Traverso ,&nbsp;María Ángeles García ,&nbsp;María Luisa Marina ,&nbsp;Abraham Esteve-Núñez ,&nbsp;Karina Boltes","doi":"10.1016/j.ese.2024.100500","DOIUrl":"10.1016/j.ese.2024.100500","url":null,"abstract":"<div><div>50% of pharmaceuticals and 25% of herbicides used worldwide are chiral. Each enantiomer has a unique toxicity and biodegradation profile, affecting differently to organisms. Chirality plays a key role in the behavior of these emerging contaminants (ECs) in terms of their pharmacological or herbicidal activity, but this peculiarity is often overlooked in environmental research. The complexity of chiral ECs is underestimated, as the varying sensitivity of biological systems to enantiomers is rarely considered. Biofilters can promote the activity of specific microbial communities, facilitating the degradation of ECs, due to the greater interaction between water and microorganisms and their compact design. Here, we show that an electroactive biofilter can alter the chirality of drugs and herbicides in wastewater treatment, impacting their removal and toxicity. The electrochemical biofilter (BioeF) removed 80% of pharmaceuticals and 50–75% of herbicides, outperforming the conventional filter (ConF). BioeF also showed greater chiral alterations and lower ecotoxicity. This work provides the first evidence of a relationship between changes in contaminant chirality and detoxification capacity, enhanced by electroactive systems. The increased microbial activity observed in the BioeF suggests that bioelectrochemical systems offer a valuable advance for ECs removal and ecotoxicity reduction, addressing the environmental challenge posed by ECs.</div></div>","PeriodicalId":34434,"journal":{"name":"Environmental Science and Ecotechnology","volume":"23 ","pages":"Article 100500"},"PeriodicalIF":14.0,"publicationDate":"2024-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142553692","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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}
引用次数: 0
Peaking China's CO2 emissions by sectoral actions 通过部门行动实现中国二氧化碳排放封顶
IF 14 1区 环境科学与生态学
Environmental Science and Ecotechnology Pub Date : 2024-10-16 DOI: 10.1016/j.ese.2024.100499
Yixuan Zheng, Bofeng Cai, Yu Lei, Gang Yan
{"title":"Peaking China's CO2 emissions by sectoral actions","authors":"Yixuan Zheng,&nbsp;Bofeng Cai,&nbsp;Yu Lei,&nbsp;Gang Yan","doi":"10.1016/j.ese.2024.100499","DOIUrl":"10.1016/j.ese.2024.100499","url":null,"abstract":"","PeriodicalId":34434,"journal":{"name":"Environmental Science and Ecotechnology","volume":"22 ","pages":"Article 100499"},"PeriodicalIF":14.0,"publicationDate":"2024-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142527499","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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}
引用次数: 0
Synergetic strategies for carbon neutrality and clean air 碳中和与清洁空气的协同战略
IF 14 1区 环境科学与生态学
Environmental Science and Ecotechnology Pub Date : 2024-10-15 DOI: 10.1016/j.ese.2024.100497
Steven J. Davis
{"title":"Synergetic strategies for carbon neutrality and clean air","authors":"Steven J. Davis","doi":"10.1016/j.ese.2024.100497","DOIUrl":"10.1016/j.ese.2024.100497","url":null,"abstract":"","PeriodicalId":34434,"journal":{"name":"Environmental Science and Ecotechnology","volume":"22 ","pages":"Article 100497"},"PeriodicalIF":14.0,"publicationDate":"2024-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142532694","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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}
引用次数: 0
Optimizing soil conservation through comprehensive benefit assessment in river basins 通过流域综合效益评估优化水土保持。
IF 14 1区 环境科学与生态学
Environmental Science and Ecotechnology Pub Date : 2024-10-10 DOI: 10.1016/j.ese.2024.100496
Siqi Sun , Yihe Lü , Xiaoming Feng , Fernando T. Maestre , Bojie Fu
{"title":"Optimizing soil conservation through comprehensive benefit assessment in river basins","authors":"Siqi Sun ,&nbsp;Yihe Lü ,&nbsp;Xiaoming Feng ,&nbsp;Fernando T. Maestre ,&nbsp;Bojie Fu","doi":"10.1016/j.ese.2024.100496","DOIUrl":"10.1016/j.ese.2024.100496","url":null,"abstract":"<div><div>Land degradation from water erosion poses a significant threat to water security and ecosystem stability, driving global efforts in soil conservation. Quantitative assessment of soil conservation benefits—both on-site and off-site—is crucial for guiding effective conservation strategies. However, existing methodologies often fall short in quantifying the value of these combined benefits. Here, we present a comprehensive framework for quantifying soil conservation service flows in monetary terms, evaluating the effectiveness of both on-site and off-site measures. Applying this framework to the Yellow River Basin (YRB), we employ cost-avoidance algorithms related to soil fertility maintenance, dredging cost reduction, and mitigation of nonpoint source pollution. Our results reveal that while many areas contribute to both on-site and off-site benefits, over half of the YRB relies predominantly on off-site services. By strategically enhancing key regions—which constitute 30% of the basin—we demonstrate that the overall soil conservation service supply can increase by 64.2% over the multi-year average from 2001 to 2020 compared to a consideration of on-site only. These findings underscore the essential role of off-site services in fully understanding soil conservation needs, particularly in large river basins, and the identified priority areas can offer valuable insights for optimizing soil conservation efforts.</div></div>","PeriodicalId":34434,"journal":{"name":"Environmental Science and Ecotechnology","volume":"23 ","pages":"Article 100496"},"PeriodicalIF":14.0,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11513632/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142523260","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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}
引用次数: 0
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