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Research on the multi-agent motivation coupling evolution and synergy improvement for farmland ecological protection in China
IF 5.4 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2025-02-01 DOI: 10.1016/j.indic.2025.100583
Adila Ainiwaerjiang , Xueying Jin , Zhen Xie , Tian Tian , Yuxuan Dang
The global ecology movement of the 1960s gave rise to international efforts to of farmland ecological protection. In these systematic, multi-agent projects, the long-term viability of farmland ecological protection rests significantly upon the alignment and synergistic interaction of the primary agents involved. Beginning in 2017, the Chinese government prioritized farmland ecological protection, instituting a collaborative governance structure involving policymakers, policy implementers, and agricultural producers. To appraise the characteristics of this structure, this study develops a multi-agent theoretical framework according to a “motivation-behavior” model for farmland ecological protection. Analyzing the motivations of these agents and the resultant synergy across the 2000–2020 period, this research indicates a significant rise in the motivation of Chinese policymakers toward farmland ecological protection, coupled with a significant decline in motivation among agricultural producers. Policy implementers’ motivation, however, has remained consistent. Employing a coupling and coordination model to assess the collaborative effectiveness among these actors, this study identifies a downward trend in synergistic effectiveness across three phases: primary coupling, approaching decoupling, and mild decoupling. To further explore the collaborative effectiveness of policy implementers and agricultural producers, a Tapio decoupling model is utilized to analyze changes in their synergistic activity. The temporal analysis of motivational shifts indicates a stabilizing trend among policy implementers and fluctuating efforts from agricultural producers. Spatially, high-value areas for policy implementers have experienced a significant decline, migrating from the left to the right of the Hu Line; whereas, high-value areas for agricultural producers have steadily decreased. Specifically, areas where synergistic efforts between implementers and producers in farmland ecological protection are being observed have expanded, while areas exhibiting decaying synergy have contracted. Areas initially indicating synergy decay demonstrate an initial increase followed by a decrease. This study concludes that China must develop a compensation structure for farmland ecological protection targeted at business actors, execute region-specific protection plans, and strengthen multi-agent motivation to cultivate more robust synergistic outcomes.
20 世纪 60 年代的全球生态运动催生了农田生态保护的国际努力。在这些系统的、多主体的项目中,农田生态保护的长期可行性在很大程度上取决于参与其中的主要主体之间的协调和协同互动。从 2017 年开始,中国政府将耕地生态保护放在优先位置,建立了由政策制定者、政策执行者和农业生产者共同参与的协同治理结构。为了评估这一结构的特点,本研究根据农田生态保护的 "动机-行为 "模型,建立了一个多主体理论框架。通过分析 2000-2020 年间这些主体的动机及其协同作用,本研究表明中国政策制定者的耕地生态保护动机显著上升,而农业生产者的动机显著下降。然而,政策执行者的动机却保持一致。本研究采用耦合与协调模型来评估这些行动者之间的协作效果,发现在三个阶段中,协同效果呈下降趋势:初级耦合、接近脱钩和轻度脱钩。为了进一步探讨政策执行者和农业生产者的协作效率,本研究利用塔皮奥脱钩模型分析了他们协同活动的变化。对动机转变的时间分析表明,政策实施者的努力呈稳定趋势,而农业生产者的努力则起伏不定。从空间上看,政策执行者的高价值区域出现了显著下降,从胡线的左侧向右侧迁移;而农业生产者的高价值区域则稳步下降。具体而言,政策执行者与农业生产者在农田生态保护方面协同努力的区域有所扩大,而协同作用衰减的区域则有所收缩。最初显示协同作用衰减的地区在最初增加后又有所减少。本研究的结论是,中国必须制定针对企业行为者的耕地生态保护补偿结构,执行特定区域的保护计划,并加强多主体激励,以培育更强大的协同成果。
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引用次数: 0
Place attachment, activation of personal norms, and the role of emotions to save water in scarcity 地方依恋、个人规范的激活以及缺水时情绪对节水的作用
IF 5.4 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2025-02-01 DOI: 10.1016/j.indic.2024.100567
Peyman Arjomandi A. , Masoud Yazdanpanah , Tahereh Zobeidi , Nadejda Komendantova , Akbar Shirzad
Water bodies across (semi)arid regions are being pressured by climate change and agriculture. Aptly, in Iran, Urmia Lake's fate is in contestation of these two stressors. Whereas climate change mitigation mandates a huge far-lasting global endeavor, some regional adaptations may support the lake to survive ecologically. This needs accountable actions by both institutions and individuals, contributing to the agricultural dynamism. To ensure the effectiveness of institutional lake restoration plans, the consent, cooperation, and active participation of farmers are essential. The critical issue is to know how to persuade farmers and foster prudent water consumption as the prime strategy. This requires understanding farmers intention and behavior in relation to water conservation. To explore this in the region, a specific sociopsychological model was developed. Utilizing the Norm Activation Model enriched by the constructs of Place Attachment and Expression of Emotion, farmers' moral water conservation behavior in the Urmia Lake Basin was investigated. The results of structural equation modeling revealed that all factors of the model influence the water conservation intention and behavior. While awareness of consequences strongly affects personal norms and appraisal of responsibility, place attachment and appraisal of responsibility positively impact emotions and correspondingly emotions and place attachment affect intention significantly. Whereas personal norms were influenced by awareness of consequences and appraisal of responsibility, they impact behavior and intention significantly and eventually intention makes the strongest relationship with behavior. Uncovering this, the study aims to expose further pragmatic insights for credible and sustainable environmental management policies.
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引用次数: 0
Introducing reservoir sustainability indexing to investigate reservoir operations and piloting it at the basin of Lake Urmia with sparse data 引入水库可持续性指数调查水库运行情况,并在数据稀少的乌尔米耶湖流域进行试点
IF 5.4 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2025-02-01 DOI: 10.1016/j.indic.2024.100577
Sina Sadeghfam , Navid Fahmfam , Rahman Khatibi , Brian Mark Crookston , Meysam Vadiati , Marjan Moazamnia
Reservoir sustainability indexing/estimation is introduced in this paper, capable of handling sparse data. It innovates by interconnecting a set of three variables: estimating Environmental Water Requirements (EWRs) by conceptual rules; estimating Reliability, Resilience and Vulnerability (RRV) criteria by using EWRs; and thereby calculating Sustainability Indexes (SI), which are either satisfactory or unsatisfactory. These together transform reservoir studies into an innovative capability, implemented by a strategy at three levels: Level 1 scopes critically the research direction setting up a rule engine. Level 2 calculates the EWRs, RRV and SI metrics. Level 3 addresses the defensibility of the results. The capability is piloted on 9 major reservoirs with available data out of 44 in the basin of Lake Urmia for a proof-of-concept. The subsequent knowledge discovery uncovers that: (i) Of 5.3 Billion Cubic Metres (BCM/Annum) lake inflows, 3.1 BCM/annum is required to maintain the lake, but cut off unwarrantedly, instigated the catastrophe. (ii) SI-values verify that the basin is fragile against unwarranted operations; conversely, evidence is given that restoring Lake Urmia is feasible by overhauling reservoir management. (iii) The emerging retrospective explanation is that reservoir operations are the single root cause instigating the catastrophic disappearance of Lake Urmia.
本文介绍了能够处理稀疏数据的水库可持续性指数/估算。它的创新之处在于将一组三个变量相互联系起来:通过概念规则估算环境用水要求(EWRs);利用 EWRs 估算可靠性、复原性和脆弱性标准(RRV);从而计算出满意或不满意的可持续性指数(SI)。这些措施共同将水库研究转化为一种创新能力,并通过三个层面的战略加以实施:第一层是严格确定研究方向,建立规则引擎。第二级计算 EWR、RRV 和 SI 指标。第 3 层涉及结果的可辩护性。在乌尔米耶湖盆地的 44 个水库中,对 9 个有可用数据的主要水库进行了概念验证。随后的知识发现表明(i) 在 53 亿立方米(BCM/年)的湖水流入量中,有 31 亿立方米(BCM/年)是维持湖泊所必需的,但却被无故切断,从而引发了灾难。(ii) SI 值验证了该流域在无端操作面前是脆弱的;相反,有证据表明,通过彻底改革水库管理,恢复乌尔米耶湖是可行的。(iii) 新出现的回顾性解释是,水库运行是导致乌尔米耶湖灾难性消失的唯一根源。
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引用次数: 0
Assessment of rainfed wheat productivity in a changing climate in Irbid, Jordan using statistical downscaling and Random Forest Regression prediction under RCP4.5 & 8.5 pathways
IF 5.4 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2025-02-01 DOI: 10.1016/j.indic.2024.100545
Tasnim Dheif Allah Althalaj , Fayha Muhammed Al-Shibli , Amani Abdullah Alassaf
Jordan is confronted with substantial risks linked to climate change and is proactively striving to manage resources sustainably by aligning its initiatives with the Sustainable Development Goals (SDGs). This study examines the impacts of climate change on rainfed wheat productivity in Irbid Governorate during the historical period (1994–2021) and simulated for the future (2024–2100) using climate models (SDGs 1, 2, 11, 12, 13, & 15). Monthly precipitation, mean temperature, and annual wheat yield data were collected for the period (1994–2021) and analyzed using the Mann-Kendall test with Sen's slope to investigate the historical trends and elaborate Phi-k correlation coefficient to determine their association. Monthly precipitation and mean temperature projections were collected from CSIRO-MK3.6.0 & GFDL-ESM2M CMIP5 ensemble models under two concentration pathways: RCP4.5 and RCP8.5. The projections were biased and corrected by the dynamic bilinear interpolation method and Delta, EQM, and QM statistical downscaling to enhance the projections' reliability and performance in capturing the region's climate. Taylor diagram was utilized to choose the best model to represent observed data. Cumulative Distribution Function and Probability Density Function Curves were plotted to describe the changes over decades based on climate models. Future wheat yields were predicted using the Random Forest Regression model. The results revealed a non-significant increase in total annual precipitation of 1.8% and 13.8% and a rise in annual mean temperature of 5.4% and 2.7% for Irbid and Baqura stations, respectively during the baseline timeframe on which wheat yield increased by 21.3%. The CSIRO model outperformed the GFDL model with greater fidelity in simulating historical monthly precipitation and mean temperatures. The CSIRO-MK3.6.0 model indicates precipitation and temperature shifts for near and far future periods. Temperature increases are expected to have more severe impacts in the far future (2073–2100) while projected decreases in precipitation of 0.06 mm/day and 0.10 mm/day under RCP4.5 and RCP8.5 affect yield reductions by 11.42 kg/ha and 12.21 kg/ha. Temperature increases of 2.7 °C and 4.1 °C under RCP 4.5 & 8.5 and the responding yield decreases to 24.83 kg/ha and 33.40 kg/ha, respectively. The study highlights the need for enhanced adaptation strategies; cultivating resilient wheat varieties, promoting crop rotation, improving meteorological monitoring and risk response approaches, and providing timely weather forecasts to mitigate the adverse effects of climate change on wheat productivity and ensure sustainable agriculture in Jordan.
约旦正面临着与气候变化相关的巨大风险,并正积极努力通过使其举措与可持续发展目标(SDGs)保持一致来可持续地管理资源。本研究利用气候模型(可持续发展目标 1、2、11、12、13、& 15)研究了历史时期(1994-2021 年)和模拟未来(2024-2100 年)气候变化对伊尔比德省雨水灌溉小麦生产力的影响。收集了历史时期(1994-2021 年)的月降水量、平均气温和小麦年产量数据,并使用 Mann-Kendall 检验和 Sen's 坡度分析历史趋势,以及精心设计的 Phi-k 相关系数确定它们之间的联系。月降水量和平均气温的预测数据来自 CSIRO-MK3.6.0 & 和 GFDL-ESM2M CMIP5 模型在两种浓度路径下的预测:RCP4.5和RCP8.5。通过动态双线性插值法和 Delta、EQM 和 QM 统计降尺度,对预测结果进行了偏差和修正,以提高预测结果的可靠性和对该地区气候的捕捉能力。利用泰勒图来选择代表观测数据的最佳模型。根据气候模型绘制了累积分布函数和概率密度函数曲线,以描述几十年来的变化。使用随机森林回归模型预测了未来的小麦产量。结果显示,在基线时间范围内,伊尔比德和巴卡拉站的年降水总量分别增加了 1.8%和 13.8%,年平均气温分别上升了 5.4%和 2.7%,而在此基础上,小麦产量增加了 21.3%。CSIRO 模型在模拟历史月降水量和平均气温方面比 GFDL 模型更为逼真。CSIRO-MK3.6.0 模型显示了近期和远期的降水和气温变化。气温升高预计将对远期(2073-2100 年)产生更严重的影响,而在 RCP4.5 和 RCP8.5 条件下,降水量预计将分别减少 0.06 毫米/天和 0.10 毫米/天,导致减产 11.42 千克/公顷和 12.21 千克/公顷。在 RCP4.5 和 RCP8.5 条件下,温度分别升高 2.7 ℃ 和 4.1 ℃,响应的产量分别减少 24.83 千克/公顷和 33.40 千克/公顷。该研究强调了加强适应战略的必要性;培育抗逆性强的小麦品种,推广轮作,改进气象监测和风险应对方法,及时提供天气预报,以减轻气候变化对小麦生产力的不利影响,确保约旦农业的可持续发展。
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引用次数: 0
Ecosystem health assessment based on the V-O-R-S framework for the Upper Ganga Riverine Wetland in India
IF 5.4 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2025-02-01 DOI: 10.1016/j.indic.2025.100580
Alka Yadav , Mitthan Lal Kansal , Aparajita Singh
Rapid land-use changes driven by anthropogenic activities have significantly deteriorated riverine wetland ecosystem health (WEH), underscoring the need for comprehensive ecosystem health assessment. While riverine wetlands play a critical role in sustaining human well-being and conserving endemic biodiversity, limited studies have explored WEH through an integrated lens of ecological factors and human reliance on ecosystem services. This study employs the Vigor-Organization-Resilience-Services (VORS) framework to assess the WEH, using the entropy weighting method to compute the wetland ecosystem health index (WEHI) based on NDVI, landscape metrics, and land-use/land-cover (LULC) coefficient indicators. Applying the framework to the Upper Ganga Riverine Wetland (UGRW) in India, the study examines ecosystem health over two decades (2000–2020). The findings reveal substantial land-use changes during this period, with a 245% increase in built-up and a 41% decline in forest cover. Consequently, the WEHI declined from 0.75 in 2000 to 0.58 in 2020, marking a 23% decrease over the period. All V-O-R-S indicators showed a downward trend, with ecosystem organization (O) showing the steepest decline of 45%, followed by ecosystem services (S) at 18%, ecosystem resilience (R) at 14%, and ecosystem vigor (V) at 8%. These changes reflect the significant impacts of wetland fragmentation and land-use transitions over time. The VORS framework provides a holistic perspective on WEH, offering crucial insights for stakeholders to design effective environmental management strategies. The findings can support policy measures aligned with Sustainable Development Goals (SDGs), prioritizing wetland sustainability and enhancing conservation efforts in fragile riverine ecosystems.
{"title":"Ecosystem health assessment based on the V-O-R-S framework for the Upper Ganga Riverine Wetland in India","authors":"Alka Yadav ,&nbsp;Mitthan Lal Kansal ,&nbsp;Aparajita Singh","doi":"10.1016/j.indic.2025.100580","DOIUrl":"10.1016/j.indic.2025.100580","url":null,"abstract":"<div><div>Rapid land-use changes driven by anthropogenic activities have significantly deteriorated riverine wetland ecosystem health (WEH), underscoring the need for comprehensive ecosystem health assessment. While riverine wetlands play a critical role in sustaining human well-being and conserving endemic biodiversity, limited studies have explored WEH through an integrated lens of ecological factors and human reliance on ecosystem services. This study employs the Vigor-Organization-Resilience-Services (VORS) framework to assess the WEH, using the entropy weighting method to compute the wetland ecosystem health index (WEHI) based on NDVI, landscape metrics, and land-use/land-cover (LULC) coefficient indicators. Applying the framework to the Upper Ganga Riverine Wetland (UGRW) in India, the study examines ecosystem health over two decades (2000–2020). The findings reveal substantial land-use changes during this period, with a 245% increase in built-up and a 41% decline in forest cover. Consequently, the WEHI declined from 0.75 in 2000 to 0.58 in 2020, marking a 23% decrease over the period. All V-O-R-S indicators showed a downward trend, with ecosystem organization (O) showing the steepest decline of 45%, followed by ecosystem services (S) at 18%, ecosystem resilience (R) at 14%, and ecosystem vigor (V) at 8%. These changes reflect the significant impacts of wetland fragmentation and land-use transitions over time. The VORS framework provides a holistic perspective on WEH, offering crucial insights for stakeholders to design effective environmental management strategies. The findings can support policy measures aligned with Sustainable Development Goals (SDGs), prioritizing wetland sustainability and enhancing conservation efforts in fragile riverine ecosystems.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"25 ","pages":"Article 100580"},"PeriodicalIF":5.4,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143179967","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}
引用次数: 0
Assessment on factors affecting human wild animal coexistence and associated mitigation measures in the buffer zone community of Shivapuri Nagarjun national park, Nepal
IF 5.4 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2025-02-01 DOI: 10.1016/j.indic.2024.100552
Dipesh Raj Pant , Kuaanan Techato , Siriporn Pradit , Saroj Gyawali , Binod Baniya
Solid success in conserving the protected areas would obviously require the participation and cooperation from local people particularly in developing countries where the locals bear most of the expense of Human wildlife co-existence. Considering this, the present research attempts to explore the factor affecting Human-Wildlife Co-existence (HWC) and the related mitigation measures adopted by the buffer zone community of Shivapuri Nagarjun National Park, Nepal (SNNP). The research also intends to determine the livelihood status of the locals, policies and compensations offered by buffer zone management. Data for the quantitative approach has been collected from 446 households residing in the buffer zone regions through structured questionnaire. Qualitative data are fetched through nine KII (Key Informant Interviews) who were the stakeholders of the buffer zone community. The overall results of the research find that locals in the buffer zone of SNNP are affected by the wildlife interventions. Due to this, crop damage is regarded as the massive loss experienced, wild boar is found to be the major conflicting wildlife followed by monkey and leopard. Local people are observed to have positive attitude towards the policies and programs of buffer zone management particularly, fuel-wood supply is the most appreciated benefits proffered.
{"title":"Assessment on factors affecting human wild animal coexistence and associated mitigation measures in the buffer zone community of Shivapuri Nagarjun national park, Nepal","authors":"Dipesh Raj Pant ,&nbsp;Kuaanan Techato ,&nbsp;Siriporn Pradit ,&nbsp;Saroj Gyawali ,&nbsp;Binod Baniya","doi":"10.1016/j.indic.2024.100552","DOIUrl":"10.1016/j.indic.2024.100552","url":null,"abstract":"<div><div>Solid success in conserving the protected areas would obviously require the participation and cooperation from local people particularly in developing countries where the locals bear most of the expense of Human wildlife co-existence. Considering this, the present research attempts to explore the factor affecting Human-Wildlife Co-existence (HWC) and the related mitigation measures adopted by the buffer zone community of Shivapuri Nagarjun National Park, Nepal (SNNP). The research also intends to determine the livelihood status of the locals, policies and compensations offered by buffer zone management. Data for the quantitative approach has been collected from 446 households residing in the buffer zone regions through structured questionnaire. Qualitative data are fetched through nine KII (Key Informant Interviews) who were the stakeholders of the buffer zone community. The overall results of the research find that locals in the buffer zone of SNNP are affected by the wildlife interventions. Due to this, crop damage is regarded as the massive loss experienced, wild boar is found to be the major conflicting wildlife followed by monkey and leopard. Local people are observed to have positive attitude towards the policies and programs of buffer zone management particularly, fuel-wood supply is the most appreciated benefits proffered.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"25 ","pages":"Article 100552"},"PeriodicalIF":5.4,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143180112","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}
引用次数: 0
Evaluating sustainable energy security in China and Kazakhstan: A comprehensive data-driven approach
IF 5.4 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2025-02-01 DOI: 10.1016/j.indic.2025.100624
Walker Darke , Marat Karatayev
This study offers a detailed, data-driven analysis of sustainable energy security (SES) in China and Kazakhstan from 2005 to 2022, utilizing a novel framework based on five critical dimensions: availability, accessibility, affordability, acceptability, and develop-ability. The research integrates extensive socio-economic, energy, and environmental data to assess and compare the sustainable energy security (SES) trajectories of both nations against the backdrop of their unique geopolitical and economic contexts. Our findings reveal that while both countries have made significant strides towards enhancing their SES, they face distinct challenges. China, as a global powerhouse, has made notable advances in integrating sustainable practices within its energy sector, driven by comprehensive policy reforms and technological innovation. Kazakhstan's rich natural resources provide a robust base for energy security but require careful management to balance economic growth with environmental sustainability. This paper concludes with strategic recommendations for both countries to enhance their energy security while aligning with global sustainability goals. The comparative analysis not only underscores the importance of a tailored approach to SES but also contributes to the broader discourse on energy security in the era of renewable transformation.
{"title":"Evaluating sustainable energy security in China and Kazakhstan: A comprehensive data-driven approach","authors":"Walker Darke ,&nbsp;Marat Karatayev","doi":"10.1016/j.indic.2025.100624","DOIUrl":"10.1016/j.indic.2025.100624","url":null,"abstract":"<div><div>This study offers a detailed, data-driven analysis of sustainable energy security (SES) in China and Kazakhstan from 2005 to 2022, utilizing a novel framework based on five critical dimensions: availability, accessibility, affordability, acceptability, and develop-ability. The research integrates extensive socio-economic, energy, and environmental data to assess and compare the sustainable energy security (SES) trajectories of both nations against the backdrop of their unique geopolitical and economic contexts. Our findings reveal that while both countries have made significant strides towards enhancing their SES, they face distinct challenges. China, as a global powerhouse, has made notable advances in integrating sustainable practices within its energy sector, driven by comprehensive policy reforms and technological innovation. Kazakhstan's rich natural resources provide a robust base for energy security but require careful management to balance economic growth with environmental sustainability. This paper concludes with strategic recommendations for both countries to enhance their energy security while aligning with global sustainability goals. The comparative analysis not only underscores the importance of a tailored approach to SES but also contributes to the broader discourse on energy security in the era of renewable transformation.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"26 ","pages":"Article 100624"},"PeriodicalIF":5.4,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143387935","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}
引用次数: 0
Implementing sustainability frameworks at a product-level – Exploring the usability
IF 5.4 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2025-02-01 DOI: 10.1016/j.indic.2025.100593
Paule Bhérer-Breton , Anna Woodhouse , Bente Aspeholen Åby , Hilke Bos-Brouwers , Melanie Kok , Hanne Fjerdingby Olsen
Product-level assessments are for targeted and effective sustainability improvements both in downstream and upstream agrifood supply chains. Current frameworks for sustainability assessments often lack the integration of both social and environmental considerations for product-specific assessment. This study explores the usability of existing frameworks designed for both social and environmental assessments, with a focus on their application at the product level. Based on the development of usability criteria and applying a waterfall selection process, we identified two frameworks (Food System Sustainable framework and Sustainable Nutrition Security framework) for further analysis. To test against usability, both frameworks were applied towards a case study of seven food products produced in Norway: milk, greenhouse tomatoes, greenhouse cucumbers, wheat, beef, sheep and pork. The criteria included the following: data availability, data correctness, ease of use, transparency, effectiveness or relevance, and complexity of use. The selected frameworks provided a holistic and comprehensive approach to assessing social and environmental sustainability. However, their usability was limited due to lower data accuracy and a lack of user-friendliness for researchers, who were the primary target user group. The study revealed a trade-off: frameworks with higher usability tended to sacrifice depth and comprehensiveness in the information provided about food products. Both frameworks faced significant challenges in distinguishing social and ethical issues at the product level, largely due to data limitations. These findings underscore the need for the development of a purpose-built framework that accounts for these trade-offs, while enhancing usability, is essential to progress toward a more sustainable food supply chain.
{"title":"Implementing sustainability frameworks at a product-level – Exploring the usability","authors":"Paule Bhérer-Breton ,&nbsp;Anna Woodhouse ,&nbsp;Bente Aspeholen Åby ,&nbsp;Hilke Bos-Brouwers ,&nbsp;Melanie Kok ,&nbsp;Hanne Fjerdingby Olsen","doi":"10.1016/j.indic.2025.100593","DOIUrl":"10.1016/j.indic.2025.100593","url":null,"abstract":"<div><div>Product-level assessments are for targeted and effective sustainability improvements both in downstream and upstream agrifood supply chains. Current frameworks for sustainability assessments often lack the integration of both social and environmental considerations for product-specific assessment. This study explores the usability of existing frameworks designed for both social and environmental assessments, with a focus on their application at the product level. Based on the development of usability criteria and applying a waterfall selection process, we identified two frameworks (Food System Sustainable framework and Sustainable Nutrition Security framework) for further analysis. To test against usability, both frameworks were applied towards a case study of seven food products produced in Norway: milk, greenhouse tomatoes, greenhouse cucumbers, wheat, beef, sheep and pork. The criteria included the following: data availability, data correctness, ease of use, transparency, effectiveness or relevance, and complexity of use. The selected frameworks provided a holistic and comprehensive approach to assessing social and environmental sustainability. However, their usability was limited due to lower data accuracy and a lack of user-friendliness for researchers, who were the primary target user group. The study revealed a trade-off: frameworks with higher usability tended to sacrifice depth and comprehensiveness in the information provided about food products. Both frameworks faced significant challenges in distinguishing social and ethical issues at the product level, largely due to data limitations. These findings underscore the need for the development of a purpose-built framework that accounts for these trade-offs, while enhancing usability, is essential to progress toward a more sustainable food supply chain.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"25 ","pages":"Article 100593"},"PeriodicalIF":5.4,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143180547","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}
引用次数: 0
Analyzing the role of main energy transition policies upon renewable energy penetration in the EU: An assessment of energy productivity and low carbon economies
IF 5.4 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2025-02-01 DOI: 10.1016/j.indic.2024.100573
Gonzalo H. Soto , Xuan-Hoa Nghiem , Xavier Martinez-Cobas
In this study, we examine the relationship between various variables related to the transition process toward green economies outlined in the European Green Deal guidelines among member countries of the European Union. The two primary variables of interest are energy productivity and low carbon economies between 2004 and 2022 upon renewable energy penetration. By employing fully modified ordinary least squares (FMOLS) and canonical cointegrating regression (CCR) estimation methods and dynamic ordinary least squares (DOLS) for robustness, we conclude that energy productivity discourages the use of renewable energy among European countries, having a negative effect on the utilization of said energy estimated at a decrease of renewable energy use by 0.24% for each 10% increase in energy productivity. On the other hand, the transition process toward less fossil fuel-dependent energy contributes to a greater utilization of renewable energy, with a 0.11% increase for each 10% increase in the use of renewable energy over fossil fuels. Within this analytical framework, we observe that the positive correlation between energy productivity and environmental sustainability does not stem from an uptick in renewable energy integration. Instead, it arises from a reduction in energy inputs within the broader productivity framework. Concurrently, the transition towards greener energy landscapes aims not merely to curtail overall energy consumption but to initiate a strategic process of substituting conventional fuel sources with renewable alternatives, thereby fostering environmental enhancement through energy source diversification.
在本研究中,我们研究了与欧盟成员国向《欧洲绿色协议》指导方针中概述的绿色经济转型过程有关的各种变量之间的关系。我们关注的两个主要变量是 2004 年至 2022 年间可再生能源普及后的能源生产率和低碳经济。通过采用完全修正普通最小二乘法(FMOLS)和典型协整回归(CCR)估算方法以及动态普通最小二乘法(DOLS)进行稳健性估算,我们得出结论:能源生产率阻碍了欧洲国家对可再生能源的使用,对上述能源的利用产生了负面影响,估计能源生产率每提高 10%,可再生能源的使用就会减少 0.24%。另一方面,减少对化石燃料依赖的转型过程有助于提高可再生能源的利用率,可再生能源的利用率每提高 10%,化石燃料的利用率就会提高 0.11%。在这一分析框架内,我们发现,能源生产率与环境可持续性之间的正相关关系并非源于可再生能源集成度的提高。相反,它产生于更广泛的生产力框架内能源投入的减少。同时,向绿色能源景观过渡的目的不仅仅是减少总体能源消耗,而是启动一个用可再生替代品替代传统燃料来源的战略进程,从而通过能源来源多样化促进环境改善。
{"title":"Analyzing the role of main energy transition policies upon renewable energy penetration in the EU: An assessment of energy productivity and low carbon economies","authors":"Gonzalo H. Soto ,&nbsp;Xuan-Hoa Nghiem ,&nbsp;Xavier Martinez-Cobas","doi":"10.1016/j.indic.2024.100573","DOIUrl":"10.1016/j.indic.2024.100573","url":null,"abstract":"<div><div>In this study, we examine the relationship between various variables related to the transition process toward green economies outlined in the European Green Deal guidelines among member countries of the European Union. The two primary variables of interest are energy productivity and low carbon economies between 2004 and 2022 upon renewable energy penetration. By employing fully modified ordinary least squares (FMOLS) and canonical cointegrating regression (CCR) estimation methods and dynamic ordinary least squares (DOLS) for robustness, we conclude that energy productivity discourages the use of renewable energy among European countries, having a negative effect on the utilization of said energy estimated at a decrease of renewable energy use by 0.24% for each 10% increase in energy productivity. On the other hand, the transition process toward less fossil fuel-dependent energy contributes to a greater utilization of renewable energy, with a 0.11% increase for each 10% increase in the use of renewable energy over fossil fuels. Within this analytical framework, we observe that the positive correlation between energy productivity and environmental sustainability does not stem from an uptick in renewable energy integration. Instead, it arises from a reduction in energy inputs within the broader productivity framework. Concurrently, the transition towards greener energy landscapes aims not merely to curtail overall energy consumption but to initiate a strategic process of substituting conventional fuel sources with renewable alternatives, thereby fostering environmental enhancement through energy source diversification.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"25 ","pages":"Article 100573"},"PeriodicalIF":5.4,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143180318","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}
引用次数: 0
Long-term impacts of agricultural greenhouse expansion on albedo, land surface temperature, and vegetation: Evidence from a typical province in China 农业温室扩张对反照率、地表温度和植被的长期影响:来自中国一个典型省份的证据
IF 5.4 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2025-02-01 DOI: 10.1016/j.indic.2024.100575
Fangxin Chen , Cong Ou , Yue Chen , Xiaochuang Yao , Bowen Niu , Zhenbo Du
The dramatic expansion of agricultural greenhouses (AGs) in China has raised concerns about its environmental impacts. But our knowledge in this area is still limited, especially the temporal and scale impacts of AGs. To fill this gap, we utilized multiple remote sensing data, time-series segmentation algorithm, and the Mann-Kendall test to analyze the spatiotemporal evolution patterns of AGs in Shandong Province, China from 2001 to 2018. We then explored the impact of AGs on albedo, land surface temperature (LST), and Enhanced vegetation index (EVI) from annual and seasonal analysis perspectives. Results indicated that the total area and number of patches of AGs in Shandong initially grew, then declined, and subsequently grew again. Smaller AGs areas showed lower spatial aggregation and survival rates. Additionally, this study found that AGs have a significant impact on the environment. Increased spatial concentration and longer durations of AGs were linked to more significant reductions in albedo and EVI, along with more pronounced increases in LST. In summer and spring, AGs significantly boosted LST, while in autumn and winter, they significantly reduced albedo. AGs play a crucial role in supporting crop growth during autumn and winter. Moreover, the paper proposed several sustainable AGs management strategies to address these challenges. This study provides observational evidence of the environmental impacts of AGs for promoting sustainable agriculture.
{"title":"Long-term impacts of agricultural greenhouse expansion on albedo, land surface temperature, and vegetation: Evidence from a typical province in China","authors":"Fangxin Chen ,&nbsp;Cong Ou ,&nbsp;Yue Chen ,&nbsp;Xiaochuang Yao ,&nbsp;Bowen Niu ,&nbsp;Zhenbo Du","doi":"10.1016/j.indic.2024.100575","DOIUrl":"10.1016/j.indic.2024.100575","url":null,"abstract":"<div><div>The dramatic expansion of agricultural greenhouses (AGs) in China has raised concerns about its environmental impacts. But our knowledge in this area is still limited, especially the temporal and scale impacts of AGs. To fill this gap, we utilized multiple remote sensing data, time-series segmentation algorithm, and the Mann-Kendall test to analyze the spatiotemporal evolution patterns of AGs in Shandong Province, China from 2001 to 2018. We then explored the impact of AGs on albedo, land surface temperature (LST), and Enhanced vegetation index (EVI) from annual and seasonal analysis perspectives. Results indicated that the total area and number of patches of AGs in Shandong initially grew, then declined, and subsequently grew again. Smaller AGs areas showed lower spatial aggregation and survival rates. Additionally, this study found that AGs have a significant impact on the environment. Increased spatial concentration and longer durations of AGs were linked to more significant reductions in albedo and EVI, along with more pronounced increases in LST. In summer and spring, AGs significantly boosted LST, while in autumn and winter, they significantly reduced albedo. AGs play a crucial role in supporting crop growth during autumn and winter. Moreover, the paper proposed several sustainable AGs management strategies to address these challenges. This study provides observational evidence of the environmental impacts of AGs for promoting sustainable agriculture.</div></div>","PeriodicalId":36171,"journal":{"name":"Environmental and Sustainability Indicators","volume":"25 ","pages":"Article 100575"},"PeriodicalIF":5.4,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143180862","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}
引用次数: 0
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Environmental and Sustainability Indicators
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