Environmental and Sustainability Indicators最新文献

{"title":"Optimization of land use structure integrating ecosystem service function and economic development—A case study in Dongting Lake Ecological and Economic Zone, China","authors":"Yifan Zhu,&nbsp;Min Zhou","doi":"10.1016/j.indic.2025.100604","DOIUrl":"10.1016/j.indic.2025.100604","url":null,"abstract":"<div><div>Currently, land use simulation and optimization show a trend towards spatialization and intelligence. However, regional land use simulation and optimization often neglects the inherent uncertainty of the land use system and the actual impacts of land use practices on the ecological environment. Therefore, this study established a coupled land use simulation and optimization model based on ecosystem services and economic development, which integrates the ecosystem service evaluation model (InVEST), the interval uncertainty optimization model, and the spatial layout model of land use (PLUS), to simulate and optimize the land use allocation planning practice of Dongting Lake Ecological and Economic Zone in 2030. The objective of the coupled model is to aim at realizing regional ecological benefits and socio-economic benefits while taking into account the ecosystem service function constraints (water production, water conservation, soil and water conservation, and carbon storage), environmental protection constraints (air, water, and solid waste pollution), economic constraints (water use limitation, electricity use limitation), social constraints (food safety, fertilization), and technological constraints (total land area). economic benefits of the region. The modeling results show that the economic benefits of the optimized Dongting Lake Eco-Economic Zone range between [15622.72 × 10⁸,19150.50 × 10⁸] CNY, and the optimized areas of farmland, woodland, grassland, water area, construction land, and unutilized land are[25686.99,25932.61]km², [22093.37,22295.23]km²,[837.11108,841.41]km²,[7536.86,7767.01]km²,[2660.92,2987.49]km²,[1090.72,1116.36]km².and the ecosystem service function, pollutant emission level and ecosystem service value of the optimized Dongting Lake Eco-Economic Zone in the optimization scenario, which guarantees higher economic benefits than the status quo scenario, show a better performance than the status quo scenario as a whole. Finally, by spatially allocating the optimization results, the coupled model provides a new perspective and tool for decision-makers to develop sustainable regional land use planning.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"26 ","pages":"Article 100604"},"PeriodicalIF":5.4,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143098838","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 framework to assess socioeconomic and spatialized nature-related risks: An application to South Africa","authors":"Paul Hadji-Lazaro ,&nbsp;Julien Calas ,&nbsp;Antoine Godin ,&nbsp;Andrew Skowno ,&nbsp;Pamela Sekese","doi":"10.1016/j.indic.2025.100605","DOIUrl":"10.1016/j.indic.2025.100605","url":null,"abstract":"<div><div>In response to the challenge of biodiversity loss and climate change, understanding the socioeconomic and financial vulnerabilities stemming from the associated physical and transition risks is essential. This paper presents a novel method that integrates ecological and macroeconomic indicators to assess multidimensional socioeconomic nature-related risks at several geographical scales using readily available data. Applying this method to South Africa, we find that 80% of the country's net exports are generated by water-dependent sectors, with 23% originating from water-sensitive municipalities, highlighting significant exposure to water scarcity. Similarly, 51% of mining sector exports are derived from municipalities with ecosystems threatened by mining activities, revealing vulnerabilities tied to transition risks that expose several macro-financial balances. These findings underscore the need for targeted policy interventions to reconcile ecological and economic goals, leveraging complementary insights from ecological and economic disciplines.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"26 ","pages":"Article 100605"},"PeriodicalIF":5.4,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143148873","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":"An ecological, environmental, and economic indicators-based approach towards enhancing sustainability in water and nutrient use for passion fruit cultivation in Colombia","authors":"Sonia Mercedes Polo-Murcia,&nbsp;Nesrine Chaali,&nbsp;Camilo Ignacio Jaramillo-Barrios,&nbsp;Sofiane Ouazaa,&nbsp;Victor Javier Polo,&nbsp;John Edisson Calderon Carvajal","doi":"10.1016/j.indic.2025.100602","DOIUrl":"10.1016/j.indic.2025.100602","url":null,"abstract":"<div><div>Yellow passion fruit is a tropical crop of significant economic importance in Colombia. Efficient irrigation and fertilization strategies can enhance soil health, reduce environmental impact, and boost crop profitability. However, their application to passion fruit remains underexplored. This study evaluated the combined effects of 3 irrigation levels (I1: 48%, I2: 43%, I3: 33% of field capacity) and 3 fertilization strategies (F1: 100% synthetic, F2: organic + synthetic, F3: synthetic + biofertilizer) across two harvest periods (HP1 and HP2), using an ecological and environmental indicators-based approach. Principal component analysis (PCA) was used to determine optimal irrigation and fertilization practices. Mixed linear models were applied to compare ecological and economic indicators. In HP1, significant interactions (p ≤ 0.01) influenced yield, with I2F1 achieving the highest net ecosystem economic benefits (NEEB) (31.47 ± 1.82 thousand USD ha⁻¹, p &lt; 0.01), yield (18.49 ± 1.00 t ha⁻¹), and irrigation water use efficiency (IWUE: 7.60 ± 0.41 kg m⁻³). Fertilization with F2 under I2 maximized nutrient use efficiency (PFP_N: 223.88 ± 11.75 kg kg⁻¹, PFP_K: 675.97 ± 35.48 kg kg⁻¹).In HP2, I2F3 achieved the highest NEEB (27.42 ± 0.70 thousand USD ha⁻¹) and yield (16.55 ± 0.39 t ha⁻¹), while I2F2 exhibited high IWUE (2.02 ± 0.12 kg m⁻³) and consistent nutrient use efficiency (PFP_N: 566.06 ± 33.85 kg kg⁻¹; PFP_K: 1658.65 ± 99.19 kg kg⁻¹). F2 demonstrated strong economic performance, supported by a PCA, explaining over 83% of the variance in both periods. I2F2 achieved the highest integrated scores (2.488 in HP1; 1.047 in HP2). I2 combined with F2 led to optimized yield, profitability, and sustainability by minimizing resource waste and economic risks. These findings highlight the potential of resource-efficient practices for sustainable tropical agriculture.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"26 ","pages":"Article 100602"},"PeriodicalIF":5.4,"publicationDate":"2025-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143098798","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 framework for integrating sustainable production practices along the product life cycle","authors":"Mohamed A.E. Omer ,&nbsp;Ahmed Mohamed Mahmoud Ibrahim ,&nbsp;Ammar H. Elsheikh ,&nbsp;Hussien Hegab","doi":"10.1016/j.indic.2025.100606","DOIUrl":"10.1016/j.indic.2025.100606","url":null,"abstract":"<div><div>In response to urgent global challenges posed by climate change and environmental degradation, integrating sustainable production practices into the entire product life cycle (PLC) has become essential. This paper proposes a comprehensive framework addressing the gap between sustainability models and product life cycle assessment (PLCA), emphasizing the need for a holistic approach encompassing economic, social, and environmental dimensions. The framework outlines optimal sustainable practices from material extraction to end-of-life disposal. It emphasizes reduced ecological footprints, resource conservation, pollution mitigation, and enhanced sustainability. Furthermore, it underscores the role of governmental and non-governmental organizations (GOs and NGOs) in promoting this integrated approach. This research further explores key questions about integrating sustainable practices, implementation challenges, and economic feasibility, aiming to guide businesses toward holistic approaches that balance economic growth, environmental stewardship, and social equity across the entire PLC.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"26 ","pages":"Article 100606"},"PeriodicalIF":5.4,"publicationDate":"2025-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143098880","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":"Corporate greenwashing and green management indicators","authors":"Viviana Fernandez","doi":"10.1016/j.indic.2025.100599","DOIUrl":"10.1016/j.indic.2025.100599","url":null,"abstract":"<div><div>This article provides evidence on greenwashing practices and environment-friendly initiatives of more than 27,000 family and non-family firms across 41 countries. The statistical analysis reveals that family firms tend to engage less in greenwashing and demonstrate a stronger commitment to environment-friendly initiatives compared to their non-family counterparts. However, family control does not necessarily lead to improved business performance when general and green management practices are considered. Nonetheless, family businesses appear better positioned to leverage environment-friendly initiatives for enhanced performance outcomes.</div><div>Further analysis indicates that bribery may reduce greenwashing in family firms, particularly in light industries. On the other hand, political connections have minimal influence on greenwashing practices, regardless of whether firms are family- or non-family-controlled.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"26 ","pages":"Article 100599"},"PeriodicalIF":5.4,"publicationDate":"2025-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143098879","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":"Factors affecting the livelihood sustainability of smallholder farmers in Iran","authors":"Mohammad Shokati Amghani ,&nbsp;Mohammad Sadegh Sabouri ,&nbsp;Jafar Baghernejad ,&nbsp;Abbas Norozi","doi":"10.1016/j.indic.2025.100601","DOIUrl":"10.1016/j.indic.2025.100601","url":null,"abstract":"<div><div>To advance the United Nations Sustainable Development Goals, it's essential to implement practices that improve the livelihoods sustainability. Achieving this goal requires identifying Factors affecting the livelihood sustainability of smallholder farmers (LSOSF). For this purpose, this study, conducted during 2023–2024. A statistical sample of 500 smallholders from Alborz, Guilan, Hormozgan, and Yazd provinces in Iran was selected using a multistage sampling method. The survey indicated an average farming unit had three able-bodied household members aged between 18 and 65, with none engaged in formal education. The head of household had an average of 10.53 years of formal education, ranging from 2 to 18 years. Household health status revealed an average of 1.69 healthy family members per unit. Annual savings for the farmers were approximately 100 million rials, about one-fifth of their total annual income. Regarding social networks, 55% of respondents had moderate to low confidence in assistance from neighbors and relatives during hardship. Structural equation modeling (SEM) was used to examine factors influencing LSOSF. Results indicated technical, economic, social, and environmental factors had positive and significant impacts on LSOSF. Among technical factors, agricultural land quality, land use conservation, land aggregation, and cropping patterns were identified as the most influential, with land use conservation having the greatest impact. Key factors such as soil erosion prevention, mitigation of land subsidence from groundwater extraction, and development of agricultural processing industries are crucial for LSOSF. This study provides a foundation for developing strategies to enhance smallholder farmers' livelihoods and well-being.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"26 ","pages":"Article 100601"},"PeriodicalIF":5.4,"publicationDate":"2025-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143149359","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 new methodological framework to assess ecological equivalence in compensation schemes","authors":"Clarice Borges-Matos ,&nbsp;Pedro A.C.L. Pequeno ,&nbsp;Marinez Ferreira de Siqueira ,&nbsp;Jean Paul Metzger","doi":"10.1016/j.indic.2025.100595","DOIUrl":"10.1016/j.indic.2025.100595","url":null,"abstract":"<div><div>Biodiversity offsets and compensation have been largely applied worldwide using ecological equivalence assessment methods to quantify the environmental quality in impact and compensation sites. However, these methods present limitations that may hinder reaching equivalence in trades. In Brazil, the New Forest Act demands compensation of Legal Reserve deficits, and the Supreme Court decided it should be implemented with equivalence, but until what degree and how to measure it remain unclear. Here, we propose the Condition Assessment Framework to fill these gaps. Using a portion of the Brazilian Atlantic Forest as study system, we combined attributes of biodiversity (6), landscape (4) and ecosystem services (2), tested their variability, redundancies, and spatial complementarity and selected three attributes. Next, we applied these attributes testing combinations among them, using a compensation scheme similar to that of Legal Reserves with mandatory equivalency. Our framework attended the Act requirements and its application should be simple. We showed it is possible to include in a same method biodiversity, landscape and ecosystem services, in a disaggregated way, using simple calculations, with spatially explicit results and flexibility in attributes inclusion. The framework is also transposable to different regions and contexts and could be easily applied to larger geographic areas. To our knowledge, this is the first equivalence assessment method that includes all these characteristics simultaneously. Therefore, the Condition Assessment Framework could contribute to incorporate ecological equivalence more consistently in compensation schemes and policies across regions, with its feasibility potentially increasing policy compliance.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"26 ","pages":"Article 100595"},"PeriodicalIF":5.4,"publicationDate":"2025-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143098878","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":"Advanced groundwater potential and contamination vulnerability assessment using integrated GIS-based AHP techniques: A case study from the Bizerte watershed, Tunisia","authors":"Cyrine Belhadj ,&nbsp;Rihab Riahi ,&nbsp;Abdelaziz Sebei ,&nbsp;Sinda Sifi ,&nbsp;Noamen Rebai","doi":"10.1016/j.indic.2025.100597","DOIUrl":"10.1016/j.indic.2025.100597","url":null,"abstract":"<div><div>Sustainable management and monitoring of groundwater resources are critical for ensuring their availability for drinking, agriculture, and industry worldwide. In Bizerte, Tunisia (Southwest Mediterranean region), this need is particularly urgent due to rising demand and contamination risks, aligning with Sustainable Development Goal 6 (SDG 6), which seeks to ensure the availability and sustainable management of water and sanitation for all. This research aims to enhance groundwater management and assess contamination risks in Bizerte using the Analytic Hierarchy Process (AHP). A multidisciplinary approach was adopted, integrating multi-criteria analysis and a spatially referenced hydrogeological information system. Eight thematic layers, geomorphology (0.15), slope (0.10), lineament density (0.12), drainage density (0.10), land use/land cover (0.08), precipitation (0.20), lithology (0.15), and soil (0.10) were analyzed for their impact on groundwater availability. Weights were assigned via an AHP-based pairwise comparison matrix and integrated using Geographic Information System (GIS) technology to generate a groundwater potential map. The analysis revealed that approximately 60% of the area has significant groundwater potential, with 30% classified as high potential zones and 30% as moderate potential zones. Vulnerability to contamination was assessed, showing that 20% of the area is at risk, primarily due to agricultural activities, industrial discharges, and inadequate waste management. The results highlighted the need for continuous monitoring and effective management strategies, underscoring the importance of a holistic approach in groundwater management to provide a robust decision-making framework.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"26 ","pages":"Article 100597"},"PeriodicalIF":5.4,"publicationDate":"2025-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143098799","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":"Mechanisms and influencing factors of cultural ecosystem services value realization","authors":"Yiqing Lin ,&nbsp;Yanbing Liu ,&nbsp;Zhiyun Ouyang ,&nbsp;Chen Meng ,&nbsp;Yi Xiao","doi":"10.1016/j.indic.2025.100584","DOIUrl":"10.1016/j.indic.2025.100584","url":null,"abstract":"<div><div>Cultural ecosystem services (CES) play a crucial role in sustainable development, yet research on the mechanisms of CES value realization and its influencing factors remains limited, particularly in understanding how ecological, transportation, and marketing elements interact to realize value. This study employs Travel Cost Interval Analysis (TCIA) combined with statistical analyses to evaluate CES value realization patterns and their influencing factors. The research draws on survey data from 18 scenic areas in Lishui, China, collecting 1624 valid responses across natural, agricultural, and cultural attractions. Results reveal that Lishui's total CES value reached CNY 37.93 billion in 2019, with direct consumption representing the dominant value component. Among different landscape types, natural sites contributed the largest share, highlighting the crucial role of natural landscapes in regional CES value realization. Only high-level (Level 4) transportation and ecological factors significantly enhance CES value realization, while marketing strategies show optimal effectiveness at Level 3. These findings provide valuable insights for sustainable tourism development and ecosystem management. They suggest the need for integrated optimization strategies rather than isolated improvements, emphasizing the importance of threshold effects in infrastructure development and the potential of value-added strategies in ecotourism. The study offers practical guidance for policymakers in balancing ecological preservation with economic development, particularly in regions rich in natural and cultural resources.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"26 ","pages":"Article 100584"},"PeriodicalIF":5.4,"publicationDate":"2025-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143149379","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":"Global trends and research frontiers on machine learning in sustainable animal production in times of climate change: Bibliometric analysis aimed at insights and orientations for the coming decades","authors":"Robson Mateus Freitas Silveira ,&nbsp;Concepta Mcmanus ,&nbsp;Iran José Oliveira da Siva","doi":"10.1016/j.indic.2024.100563","DOIUrl":"10.1016/j.indic.2024.100563","url":null,"abstract":"<div><div>According to topics, such as climate change, global population, animal production and food security, it is important improving food production systems' sustainability and getting to know that using machine learning in sustainable animal production in times of climate change will be a useful tool to increase food production with guaranteed animal welfare by reducing carbon and water footprints. The present pioneering review provides a longitudinal perspective on the current state of academic research in the emerging machine learning field linked to sustainable animal production in times of climate change. The study will provide scholars and professionals with a holistic view of the current state of studies, opportunities and associated risks on this topic, and pathways for future research in this emerging and promising field. In total, 1082 documents published in the last 70 years, in Scopus Database, were selected for the study. The annual growth rate recorded for publications in this field reached 3.78% per year, with 31.52% international contribution and 22.2 citations per document. The main insights generated in the bibliometric analysis were (i) sustainable animal production changed from unidisciplinary science to multidisciplinary science linked to agricultural, environmental and engineering sciences, mainly to genetics and computing; (ii) the concept of sustainable animal production emerged from animal welfare and climate change concepts found in UN's 2030 Agenda; (iii) omics sciences, greenhouse gases, energy efficiency and animal welfare are the main keywords for bibliometric analyses in future studies related to sustainable animal production in the coming centuries; (iii) prediction and classification analyses, i.e., supervised machine learning models used as main tools in animal production; (iv) residual feed intake applied to measure sustainable feed efficiency in animal farming in the past and nowadays; and (v) The United States, China, Brazil and Australia are the main countries publishing studies on sustainability in animal production, but only China has been gaining prominence in publications in this field, in recent years, and it will turn this country into an emerging leader in future publications on this topic. The present study provides new insights that were not previously fully captured or assessed in other reviews. Finally, improving livestock production sustainability is particularly important, because a significant part of the projected increases in the global food demand is expected to come from livestock, and artificial intelligence will certainly help producers in decision-making processes, mainly in times of climate change.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"26 ","pages":"Article 100563"},"PeriodicalIF":5.4,"publicationDate":"2024-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143379367","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}