Environmental and Sustainability Indicators最新文献

{"title":"Mussel farms drive species replacement through ecological drift and dispersal","authors":"Cynthia Vásquez ,&nbsp;Renato A. Quiñones ,&nbsp;Oscar Díaz ,&nbsp;Nicolas Rozbaczylo ,&nbsp;Jorge Pérez-Schultheiss ,&nbsp;Eduardo Hernández-Miranda","doi":"10.1016/j.indic.2024.100579","DOIUrl":"10.1016/j.indic.2024.100579","url":null,"abstract":"<div><div>Mussel farms can introduce disturbances to the diversity of soft bottom benthic macroinvertebrate communities. This study aimed to evaluate the ecological processes and mechanisms underlying responses from communities in two mussel farming areas in Chile, which is the largest exporter in the world. Alpha diversity indices, additive beta partitioning, and the Raup-Crick null model were employed for analysis. Results indicate a significant impact of mussel farming on both alpha and beta diversity, primarily through species replacement processes, and neutral mechanisms of ecological drift and dispersal. Alpha diversity decreased, and beta diversity increased near the farm areas with reduced hypoxic sediments. These results have conservation implications, especially considering that mussel farming in Chile is concentrated in regions with high levels of endemism. Because ecological drift is more pronounced in small communities with low dispersal potential, endemic and rare species are more susceptible to local extinction. A metacommunity and neutral approach should be integrated into future studies and environmental regulations to improve the assessment of the impacts of mussel farming on diversity.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"25 ","pages":"Article 100579"},"PeriodicalIF":5.4,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143179388","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prediction and Analysis of metabolic mechanism for regional water system from the perspective of quantity-quality collaborative control——A case study of Zhejiang Province, China","authors":"Siqi Li ,&nbsp;Yang Zhang ,&nbsp;Tianqi Liu ,&nbsp;Jinbo Zhang ,&nbsp;Huaicheng Guo ,&nbsp;Xiao Pu ,&nbsp;Lu Lu ,&nbsp;Changbo Qin","doi":"10.1016/j.indic.2024.100571","DOIUrl":"10.1016/j.indic.2024.100571","url":null,"abstract":"<div><div>Persistent dilemma of water resource is one of the most challenging environmental issues worldwide. The shortage of water quantity fundamentally restricts the sustainable development of the economy and society, and the deterioration of water quality further aggravates the shortage of water quantity. The water metabolic mechanism depicts how material elements interact and operate during the inflow and outflow of water resources and pollutants in regional water system contexts, so exploring it from the perspective of dual control of quantity and quality provides a new view for identifying efficient management pathways. Thus, the objective of this study is to predict and analyze the metabolic mechanism for regional water system from the perspective of quantity-quality collaborative control. In detail, the prediction of water metabolism network in future scenario is established based on the Grey Model-Biproportional Scaling Method (GM-RAS) and the Input-Output Analysis (IOA). Subsequently, the Ecological Network Analysis (ENA) is applied to execute water metabolism analysis under the water quantity-quality joint control perspective. The proposed framework is applied to water system management of Zhejiang Province, China. The regional water metabolism development trends are illustrated, water quantity-quality pollutants (COD, NH_3-N) metabolism mechanisms are analyzed, and key industrial sectors for future scenario water system management are identified. The results indicated that: (a) in order to achieve joint improvement of water resource conservation and environmental conditions, agriculture (AGR), manufacturing (MAN), gas (GAS) and the other sectors (OSE) are identified the key industrial sectors. (b) Under the current economic development model, the water system network will evolve towards improving the whole efficiency. The comprehensive dynamic analysis of quality-quantity collaborative control will provide a scientific support to guide the dilemma of water resources in an attempt to promoting the healthy development of water system.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"25 ","pages":"Article 100571"},"PeriodicalIF":5.4,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143180861","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhancing Canada's sustainable development goals: Leveraging neutrosophic programming for agenda 2030","authors":"Anas Melethil ,&nbsp;Nabil Ahmed Khan ,&nbsp;Golam Kabir ,&nbsp;Ahmad Yusuf Adhami ,&nbsp;Irfan Ali","doi":"10.1016/j.indic.2025.100586","DOIUrl":"10.1016/j.indic.2025.100586","url":null,"abstract":"<div><div>The study employed neutrosophic programming to optimize Canada's efforts toward achieving the Sustainable Development Goals (SDGs) by 2030. It focused on maximizing GDP and employment while minimizing carbon emissions and electricity consumption. The findings indicated substantial progress in GDP and employment, with GDP projections aligning closely with ARIMA forecast values. However, the optimization results for reducing carbon emissions and electricity consumption were less favorable, as both exceeded the 2030 targets, though slightly below ARIMA forecasts. These outcomes underscore the ongoing challenge of balancing economic growth with environmental sustainability. Neutrosophic programming proved effective in managing uncertainties and imprecise data, particularly in addressing complex, sometimes conflicting objectives like those within the SDGs. Future strategies include advancing greener technologies in high-emission sectors, introducing policy measures such as incentives for renewable energy, stricter emissions regulations, subsidies for green technologies, and increasing investment in sustainable technology research and development.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"25 ","pages":"Article 100586"},"PeriodicalIF":5.4,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143180328","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Developing an environmental equity index for urban heat wave event","authors":"Xiaohui Ma ,&nbsp;Li Zhang ,&nbsp;Xiaochun Yang ,&nbsp;Yue Fan ,&nbsp;Fukuda Hiroatsu ,&nbsp;Jiahao Zhang ,&nbsp;Luyao Li","doi":"10.1016/j.indic.2024.100565","DOIUrl":"10.1016/j.indic.2024.100565","url":null,"abstract":"<div><div>Societal “imbalance” and “injustice” are key concerns during heatwaves that are considered a typical climate change phenomenon. However, our understanding of precise ways to measure and respond to environmental justice needs remains limited. In this study, we develop an equity index to examine environmental justice problems with respect to social resource provisions during heatwave responses. A multi-source data integration approach and a synthetic population algorithm are used to construct a method to calculate environmental equity indices with 100∗100 m spatial resolution. The resultant integrated equity index map offers a comprehensive view of the urgent need for social resource provision during heatwave responses. Our findings reveal that, despite a higher demand for heatwave-related resources in central urban areas, some suburban regions, particularly emerging cross-boundary functional zones, exhibited lower levels of equity due to inadequate social resource supplies. Additionally, we explored the correlation between social media data based heatwave perception maps and environmental equity levels, confirming the potential of using the heatwave perception to validate the equity index. This study not only mapped out priority areas but also set the stage for targeted interventions to enhance resilience and justice in urban planning.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"25 ","pages":"Article 100565"},"PeriodicalIF":5.4,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143180026","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Machine learning-based monitoring of land cover and reclamation plantations on coal-mined landscape using Sentinel 2 data","authors":"Mayank Pandey ,&nbsp;Alka Mishra ,&nbsp;Singam L. Swamy ,&nbsp;James T. Anderson ,&nbsp;Tarun Kumar Thakur","doi":"10.1016/j.indic.2025.100585","DOIUrl":"10.1016/j.indic.2025.100585","url":null,"abstract":"<div><div>The rehabilitation of degraded coal-mined landscapes has recieved significant global attention due to its critical impact on ecological integrity, economic prosperity, and social development, aiming for zero net land degradation. This study examines the reclamation of coal mine overburdens through reforestation, using high-resolution Sentinel 2 satellite data classified by various Machine Learning (ML) algorithms. Support Vector Machine has been identified as a more accurate and effective ML algorithm compared to Random Forest and Maximum Likelihood Classifier in delineating land use and vegetation classes, particularly forests, and in distinguishing reclamation plantations into three age classes: young (4 ± 3 years), middle-aged (10 ± 2 years), and mature (15 ± 2 years). Significant areas of forests and agricultural land have been lost to coal mining, while a large portion of the overburden has been regenerated with plantations, leaving a small area barren for future mine expansion. The total standing biomass and carbon stock varied significantly (p ≤ 0.05) and increased with the age of reclamation plantations, ranging from 10.5 to 23.7 Mg ha-1 and 4.7–10.9 Mg ha-1, respectively. However, the biomass and carbon stocks in mature stands of mined sites were nearly three times lower than those in natural forests. The recovery rates of soil nutrients under plantations of these sites have surpassed halfway and may take a decade or two to reach levels equivalent to those of natural forests. By integrating crucial eco-technological and geospatial approaches employing ML algorithms, we effectively navigate interventions to reinvigorate the restoration process and reverse land degradation.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"25 ","pages":"Article 100585"},"PeriodicalIF":5.4,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143180326","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The influence of the Great Recession on the relationship between ecological footprint, renewable energy and economic growth","authors":"Bárbara Baigorri,&nbsp;Antonio Montañés,&nbsp;María-Blanca Simón-Fernández","doi":"10.1016/j.indic.2024.100556","DOIUrl":"10.1016/j.indic.2024.100556","url":null,"abstract":"<div><div>This paper studies the relationship between ecological footprint, economic growth and renewable energy use in 20 OECD countries from 1990 to 2019, paying special attention to the possible existence of structural changes in this relationship over the period studied. Our results provide evidence supporting the presence of breaks, with the Great Recession playing a very important role. Our analysis identified an initial phase of decoupling between economic growth and ecological footprint, which is accompanied by a negative estimation of the semi-elasticity between renewable energy and ecological footprint. Nevertheless, these patterns are becoming less evident after the Great Recession, which has been revealed as a negative factor for the environment. Our results alert us to the need to maintain the environment policies even in periods of crisis, the only way to guarantee a real transition towards a more sustainable economic growth.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"25 ","pages":"Article 100556"},"PeriodicalIF":5.4,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143180858","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Deciphering Uttarakhand's human efforts towards the ecology through Gross Environment Product (GEP) calculations","authors":"Anil Prakash Joshi ,&nbsp;Shivam Joshi ,&nbsp;Ramesh Kumar Sudhanshu ,&nbsp;Durgesh Pant ,&nbsp;Sushil Rai ,&nbsp;Atul Rawat ,&nbsp;Himani Purohit","doi":"10.1016/j.indic.2024.100578","DOIUrl":"10.1016/j.indic.2024.100578","url":null,"abstract":"<div><div>This study presents an assessment of the Gross Environment Product (GEP) in Uttarakhand, India, evaluating the region's human efforts towards the ecology. Research examines the human efforts being made towards Uttarakhand's air, water, soil, and forest, balancing economic development with environmental sustainability. The GEP equation aggregates diverse environmental indicators to assess ecological efforts being made, showing substantial improvements from 2020 to 2022. Results of the analysis in Uttarakhand shows that Air GEP improved significantly, Soil GEP rose with successful organic farming transitions, Water GEP reflected enhanced conservation efforts, and Forest GEP highlighted effective afforestation measures. The study concludes that strategic sustainable practices can enable ecosystems in Uttarakhand to thrive under human pressures, advocating for the inclusion of GEP in environmental governance for evidence-based decision-making and promoting sustainable development globally. The paper also concludes that though a positive outlook is seen in Uttarakhand GEP but when compared to the pressure on economic activities the efforts needs to increase substantially.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"25 ","pages":"Article 100578"},"PeriodicalIF":5.4,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143180859","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A model for institutional phosphorus damage costs: A case study at the University of Virginia","authors":"Sy Coffey ,&nbsp;Selina L. Cheng ,&nbsp;Elizabeth Dukes ,&nbsp;Geneviève S. Metson ,&nbsp;Graham K. MacDonald ,&nbsp;James N. Galloway","doi":"10.1016/j.indic.2024.100560","DOIUrl":"10.1016/j.indic.2024.100560","url":null,"abstract":"<div><div>Calculating environmental “damage costs” associated with resource use can help individuals, communities, and institutions inform and improve their sustainability efforts. Though damage cost estimates have been developed for carbon and nitrogen, there is little precedent for calculating damage costs relating to phosphorus. We demonstrate a method to estimate institutional phosphorus damage costs using a case study of the University of Virginia, a public university in the United States. Our methods determine the source (diffuse agricultural and wastewater point source) and location (coastal and freshwater) of the University’s phosphorus footprint impacts, estimate the relative contribution of nitrogen and phosphorus across existing eutrophication damage costs, and then apply the results to the University’s phosphorus footprint. We found that activities at the University result in approximately $76 000 of annual downstream costs to society due to its phosphorus footprint ($2.08/kg of phosphorus released to the environment). About 48% of those damages are incurred in the Chesapeake Bay, which flows into the Atlantic Ocean and is the largest estuary in the United States, while 7% are incurred in the Gulf of Mexico. The remainder (45%) of costs are incurred in freshwater systems across both watersheds. Our findings are likely an underestimate of true societal impacts, as impacts such as losses of ecosystem services are difficult to value. However, we emphasize that this method is transferable and can be used by other institutions to calculate their phosphorus damage costs, providing a more holistic accounting of downstream environmental impacts.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"25 ","pages":"Article 100560"},"PeriodicalIF":5.4,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143180319","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Habitat suitability modeling for Posidonia oceanica distribution along a Mediterranean region (NW Italy)","authors":"Rachele Bordoni ,&nbsp;Chiara Paoli ,&nbsp;Monica Montefalcone ,&nbsp;Alice Oprandi ,&nbsp;Ilaria Rigo ,&nbsp;Francesca Ruggeri ,&nbsp;Paolo Vassallo","doi":"10.1016/j.indic.2025.100587","DOIUrl":"10.1016/j.indic.2025.100587","url":null,"abstract":"<div><div><em>Posidonia oceanica</em> (L.) Delile is a keystone seagrass species, playing a central role in the ecological balance of Mediterranean coastal areas but threatened by increasing human pressures. Proper management and conservation of coastal marine habitats require the understanding of its distribution. To address this need, we developed habitat suitability models (HSMs), built up using the Random Forest algorithm in R software, that assess the suitability of the environment for the presence of <em>P. oceanica</em> in the Ligurian Sea (NW Italy).</div><div>Model response variables included potential seabed areas characterized by <em>P. oceanica</em> habitats on soft and rocky bottoms, down to 50 m depth. Explanatory variables included natural factors as well as variables related to human activities along the coastal strip.</div><div>The HSMs showed high accuracy rates of 82% for <em>P. oceanica</em> on soft bottom and 99% for <em>P. oceanica</em> on rocky bottom. The models predict an increase in <em>P. oceanica</em> meadows on soft bottom, from 2448 ha to 11623 ha, and a modest increase on rocky bottom, from 159 ha to 200 ha. The west coast of Liguria was found to have a greater extent of seagrass meadows compared to the east coast.</div><div>This study provides valuable guidance for the sustainable management of <em>P. oceanica</em> meadows and offers practical tools for scientific research, land managers, stakeholders, and policy makers. These findings are essential for the conservation of a vital marine ecosystem and for promoting prudent and effective land management, ultimately securing the legacy of <em>P. oceanica</em> in northwestern Italy.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"25 ","pages":"Article 100587"},"PeriodicalIF":5.4,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143180324","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The differentiated impacts of interprovincial trade on achieving nine environment-related SDGs in China","authors":"Xiaoyu Duan ,&nbsp;Qingxu Huang ,&nbsp;Ziwen Liu ,&nbsp;Ling Zhang ,&nbsp;Penghui Li ,&nbsp;Chunyang He ,&nbsp;Delin Fang ,&nbsp;Zhenci Xu ,&nbsp;Yihao Li","doi":"10.1016/j.indic.2025.100589","DOIUrl":"10.1016/j.indic.2025.100589","url":null,"abstract":"<div><div>In the wave of globalization, trade has had profound and unique impacts on resource allocation and the Sustainable Development Goals (SDGs) among different regions. However, we still have a limited understanding of the impacts of interprovincial trade on environment-related SDGs, especially compared with the counterfactual no-trade scenario. Therefore, via an environmentally extended multiregional input‒output model and scenario analysis, we explored the impacts of interprovincial trade on the achievement of nine environmental-related SDG targets across 31 provinces in China. The results revealed that interprovincial trade has improved environmental sustainability across the country, with the total score of the nine SDGs increasing by 4.3%. Specifically, trade positively contributed to the achievement of SDG6.4 (sustainable water use) and SDG9.4 (clean industrialization) in eight sectors and slightly inhibited the achievement of SDG7.3 (primary energy efficiency). In addition, interprovincial trade has exerted greater environmental pressure on developing provinces (e.g., Nei Mongol, Jilin and Heilongjiang) with better natural resource endowments than developed provinces (e.g., Beijing, Tianjin, Shanghai). Importantly, we found that the impacts on the total SDG score was significantly associated with GDP per capita (R = 0.65, <em>p</em> &lt; 0.01). Therefore, regions and sectors that are vulnerable to negative impacts need increasing technical and policy support.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"25 ","pages":"Article 100589"},"PeriodicalIF":5.4,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143180327","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}