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The green paradox: The climate, environmental, and sustainability implications of artificial intelligence 绿色悖论:人工智能对气候、环境和可持续性的影响
Pub Date : 2025-12-18 DOI: 10.1016/j.gecadv.2025.100029
Apoorva Chouksey , Aneha K. Rajan , Vikas Gurjar , Rajnarayan Tiwari , Pradyumna Kumar Mishra
Artificial intelligence (AI), has become instrumental in advancing scientific discovery, industry, and environmental stewardship. They are driving advances in disease diagnosis, renewable energy management, climate prediction, and biodiversity monitoring. Nevertheless, this accelerating rate of AI developments, increased environmental pressures. The rapid creation of larger models and data-centre based infrastructure has placed extreme demands upon critical inputs associated with electricity, fresh water, limited supply of minerals, and depletion of electronic hardware with a relatively short lifetime. AI has contributed to the ecological footprint concerning carbon emissions, water use, supply chain impacts, and electronic waste. Current research on ecological sustainability of AI face challenges due to fragmented data across disciplines. The review aims to gather emerging research emphasizing the sustainability paradox. AI's environmental impact originates from factors like hardware emissions, scaling practices, and rebound effects. Our assessment reveals that its impact will likely exceed available management solutions. Thus, an exclusive focus on reducing efficiency alone will not suffice in the future to minimize environmental impact. In order to create sustainable AI products and systems, changes and transformations must occur within the marketplace, including the development of low-carbon data center infrastructure; the implementation of transparent and accessible reporting; the utilization of environmentally responsible and sensibly sourced computing hardware; and the adoption of circular economy ideals. AI’s ecological future is not predetermined and will ultimately be a product of the cumulative and collective choices regarding technology, policy, and ethics that lead AI development to long-term ecological viability.
人工智能(AI)在推动科学发现、工业和环境管理方面发挥了重要作用。它们正在推动疾病诊断、可再生能源管理、气候预测和生物多样性监测方面的进步。然而,人工智能发展的加速增加了环境压力。大型模型和以数据中心为基础的基础设施的迅速建立,对与电力、淡水、有限的矿物供应和寿命相对较短的电子硬件耗竭有关的关键投入提出了极端的要求。人工智能对碳排放、用水、供应链影响和电子垃圾等生态足迹做出了贡献。当前人工智能生态可持续性研究面临着跨学科数据碎片化的挑战。本综述旨在收集强调可持续性悖论的新兴研究。人工智能对环境的影响源于硬件排放、缩放实践和反弹效应等因素。我们的评估显示,其影响可能会超过现有的管理解决方案。因此,在未来,仅仅关注降低效率将不足以最大限度地减少对环境的影响。为了创造可持续的人工智能产品和系统,必须在市场内部进行变革和转型,包括开发低碳数据中心基础设施;实施透明和可获取的报告;使用对环境负责和来源合理的电脑硬件;以及循环经济理念的采纳。人工智能的生态未来不是预先确定的,最终将是有关技术、政策和伦理的累积和集体选择的产物,这些选择将导致人工智能的发展具有长期的生态可行性。
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引用次数: 0
Decision rules for salt –feedback loops in One Water systems and their implications for collective management 一水系统中盐反馈回路的决策规则及其对集体管理的影响
Pub Date : 2025-09-01 DOI: 10.1016/j.gecadv.2025.100028
Benjamin H. Roston , Megan A. Rippy , Shalini Misra , Stanley B. Grant , Todd Schenk , Thomas A. Birkland , Sujay Kaushal
Freshwater salinization is an emerging challenge that threatens ecosystem health and drinking water security. Coordinated action is necessary to address this challenge, but is often hampered by fragmented management of water subsystems that does not consider the feedback loops between them. This study uses surveys, interviews, and fuzzy cognitive maps (mental models that capture important system concepts and relationships) to characterize stakeholder perceptions of feedback loops between water subsystems and their implications for salt management. We use Virginia’s Occoquan Reservoir, a salinizing “One Water” system where wastewater, drinking water, and stormwater are coupled and the need for integrated management is great, as a test case, focusing on (1) the prevalence of feedback loops in stakeholder mental models of salinization, (2) the existence of decision rules - feedback loops that bridge social and natural subsystems and constitute potential levers for managing salt, and (3) the extent to which aggregating multiple mental models generates “wiser” decision rules. Our results suggest that while stakeholders perceive relatively few feedback loops and decision rules individually, collectively they resolve a dynamic and interconnected system. Aggregating multiple perspectives revealed over 450 decision rules, not all of which made sense to individuals. Sense-making depended more on the content of decision rules than their length or dynamics. Stormwater subsystems were absent from all decision rules, highlighting a gap in systems understanding that could hinder effective management. Creating opportunities for cross-agency communication and shared learning could help bridge such gaps, supporting collective governance in One Water systems like the Occoquan.
淡水盐碱化是威胁生态系统健康和饮用水安全的新挑战。协调行动是应对这一挑战所必需的,但往往受到不考虑它们之间反馈循环的水子系统的分散管理的阻碍。本研究使用调查、访谈和模糊认知图(捕捉重要系统概念和关系的心理模型)来表征利益相关者对水子系统之间的反馈回路及其对盐管理的影响的看法。我们使用弗吉尼亚州的Occoquan水库作为测试案例,该水库是一个盐碱化的“一水”系统,废水、饮用水和雨水耦合在一起,对综合管理的需求很大,我们关注(1)利益相关者盐碱化心理模型中反馈回路的普遍存在,(2)决策规则的存在——反馈回路连接了社会和自然子系统,构成了管理盐的潜在杠杆。(3)在多大程度上聚合多个心智模型产生“更明智”的决策规则。我们的研究结果表明,虽然利益相关者单独感知相对较少的反馈循环和决策规则,但他们共同解决了一个动态和相互关联的系统。综合多个视角,我们发现了450多条决策规则,并不是所有的规则对个人都有意义。意义创造更多地依赖于决策规则的内容,而不是它们的长度或动态。所有决策规则中都缺少雨水子系统,这突出了系统理解上的差距,可能会阻碍有效的管理。创造跨机构沟通和共享学习的机会有助于弥合这种差距,支持奥克泉等“一水”系统的集体治理。
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引用次数: 0
Global land use and land cover projections under the shared socio-economic pathways: An integrated computable general equilibrium analysis with sub-national resolution for Europe 共享社会经济路径下的全球土地利用和土地覆盖预测:欧洲次国家决议的综合可计算一般均衡分析
Pub Date : 2025-09-01 DOI: 10.1016/j.gecadv.2025.100027
Theresa Goebel, Wolfgang Britz
Anticipating uncertain land use and land cover trajectories, central to global sustainability and climate action, requires scenario-based projections grounded in socio-economic narratives. This study presents a new modelling framework for generating globally consistent land use and land cover projections, applied to the five Shared Socio-Economic Pathways through 2050. Compared to existing work, this approach offers four key advancements: (1) avoiding multi-model coupling and increasing transparency through the use of an open-source, stand-alone economic model with integrated assessment features; (2) integrating key structural change drivers in a recursive-dynamic set-up; (3) achieving high regional resolution, including NUTS2 level disaggregation for European economic dynamics; and (4) representing land-using production activities and products with high resolution. The new projections are generated using CGEBox, an open-source Computable General Equilibrium modelling platform tailored for long-term baseline development, with integrated accounting for land use, land cover, and energy. CGEBox produces complementary projections within the range of results from established Integrated Assessment Models, offering new insights into the complex interactions between socio-economic drivers and land system dynamics. Only the most sustainable scenario - combining strong behavioural change, ambitious policy action, and favourable technological progress - shows a marked increase in natural land cover. The remaining scenarios range from near-stable natural land cover to notable losses in cases lacking environmental protection. The new projections are particularly valuable for economically grounded policy assessments of land use and land cover change and its implications - especially where timely updates, distributional effects, or regional and land use details are essential.
预测不确定的土地利用和土地覆盖轨迹是全球可持续性和气候行动的核心,需要基于社会经济叙事的情景预测。本研究提出了一个新的建模框架,用于生成全球一致的土地利用和土地覆盖预测,并应用于到2050年的五个共享社会经济路径。与现有工作相比,该方法提供了四个关键进步:(1)通过使用具有综合评估特征的开源独立经济模型,避免了多模型耦合并增加了透明度;(2)在递归动态设置中整合关键的结构变化驱动因素;(3)实现高区域分辨率,包括NUTS2水平的欧洲经济动态分解;(4)以高分辨率代表土地利用生产活动和产品。新的预测是使用CGEBox生成的,CGEBox是一个开源的可计算一般均衡建模平台,为长期基线开发量身定制,综合考虑了土地利用、土地覆盖和能源。CGEBox在已建立的综合评估模型的结果范围内产生互补预测,为社会经济驱动因素与土地系统动态之间复杂的相互作用提供了新的见解。只有最可持续的情景——结合强有力的行为改变、雄心勃勃的政策行动和有利的技术进步——才会显示出自然土地覆盖的显著增加。剩下的情景包括从接近稳定的自然土地覆盖到缺乏环境保护情况下的显著损失。新的预测对于以经济为基础的土地利用和土地覆盖变化及其影响的政策评估特别有价值,特别是在及时更新、分布影响或区域和土地使用细节至关重要的情况下。
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引用次数: 0
Agricultural transition processes and sustainability: A review with a focus on low-income settings 农业转型过程和可持续性:以低收入环境为重点的审查
Pub Date : 2025-09-01 DOI: 10.1016/j.gecadv.2025.100025
Ayala Wineman
The need for agricultural systems to evolve in a more sustainable direction is widely recognized. When agriculture is placed within a sustainability transitions framework, the focus is almost entirely on industrial agriculture in middle- or high-income settings, implicitly placing large-scale, highly mechanized agriculture as the prevailing (and problematic) regime to be transformed. Less attention is given to settings of small-scale, low-intensity, subsistence farming where the agricultural sector is in the early stages of a transformation to modern, commercial, and larger-scale production. In this review, I consider how low-income countries at the start of this agricultural transformation process may take purposive actions to “leapfrog” past the lock-ins that hold industrial agriculture elsewhere in an environmentally destructive pattern. These lock-ins include a highly concentrated agrifood industry with power held by a small handful of transnational agrifood corporations; a narrow innovation environment often controlled by those same companies; and the embedded nature of dominant agricultural technologies. Low-income countries can take steps to shape an agricultural system that is more amenable to evolving in a sustainable direction. They can facilitate competition and diversity in the agrifood industry; promote diversity in farm structure; stimulate and shape an innovation environment oriented toward sustainability priorities; foster stakeholder engagement to build consensus across the decentralized agricultural sector; and maintain sight of the multiple (environmental, social, and economic) dimensions of sustainability. While these steps increase the likelihood that the trajectory of agricultural transformation will incorporate sustainability into its end state, prospects for purposive decision-making are narrowed by the inherent complexity of agricultural systems; the tensions and tradeoffs among the multiple dimensions of sustainability, especially in low-income settings; and the weakness of institutions, including central governments. Future research should concretize these concepts with case studies and empirical work in low-income settings to evaluate whether the sustainability transitions lens is, in actuality, helpful to policy makers.
人们普遍认识到,农业系统必须朝着更可持续的方向发展。当农业被置于可持续性转型框架中时,重点几乎完全放在中等收入或高收入国家的工业化农业上,隐含地将大规模、高度机械化的农业作为需要转变的普遍(和有问题的)制度。对小规模、低强度、自给农业环境的关注较少,那里的农业部门正处于向现代化、商业化和大规模生产转变的早期阶段。在这篇综述中,我考虑了处于这一农业转型进程开始阶段的低收入国家如何采取有目的的行动,以“跨越”其他地方使工业化农业处于破坏环境模式的锁定。这些锁定包括高度集中的农业食品工业,权力掌握在少数跨国农业食品公司手中;狭窄的创新环境往往由这些公司控制;以及主导农业技术的内在本质。低收入国家可以采取措施,塑造一个更适合朝着可持续方向发展的农业体系。它们可以促进农业食品行业的竞争和多样性;促进农业结构多样化;刺激和塑造面向可持续发展优先事项的创新环境;促进利益相关者的参与,在分散的农业部门建立共识;保持对可持续性的多重(环境、社会和经济)维度的关注。虽然这些步骤增加了农业转型轨迹将可持续性纳入其最终状态的可能性,但农业系统固有的复杂性缩小了有目的决策的前景;可持续性的多个维度之间的紧张关系和权衡,特别是在低收入环境中;以及包括中央政府在内的机构的薄弱。未来的研究应该通过案例研究和低收入背景下的实证工作来具体化这些概念,以评估可持续性转型镜头是否在现实中对政策制定者有所帮助。
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引用次数: 0
Temporal Dynamics of Crop Health in Maize Cultivars: Insights for Drone-Based Data Interpretation 玉米品种作物健康的时间动态:基于无人机的数据解释的见解
Pub Date : 2025-09-01 DOI: 10.1016/j.gecadv.2025.100026
Pedro R. Soares , Matthew T. Harrison , Hamid Reza Ghafarian Malamiri , Cristiano Premebida , Carla S.S. Ferreira
Monitoring plant vigor throughout the growing season is crucial for supporting precision agriculture practices and improving crop yield predictions. While remote sensing technologies offer rapid and efficient tools for crop monitoring, challenges persist in accurately interpreting the data. This study explores the temporal dynamics of leaf biochemical properties in diurnal periods (morning and afternoon), phenological stages (vegetative and reproductive), and cultivar-specific differences. Leaf chlorophyll and flavonoid contents, and nitrogen balance index (NBI) were assessed in seven maize cultivars during the growing season, using the portable device Dualex® Scientific meter. The results revealed significant diurnal variation in chlorophyll content and NBI, with higher values observed in the morning compared with the afternoon. In contrast, no diurnal variation was detected in flavonoid content. Phenological stages also influenced leaf biochemistry, with distinctions between young and old leaves. For instance, young leaves exhibited higher chlorophyll concentration and NBI and lower flavonoids compared with older leaves, where senescence occurred earlier. Cultivar-specific differences were also observed, with some cultivars showing higher chlorophyll content and NBI, likely influenced by crop maturity duration. These differences in leaf biochemistry did not significantly impact grain yield but rather influenced aboveground biomass (i.e. plant height and ear weight). These findings underscore the importance of accounting for diurnal and phenological factors, as well as cultivar-specific differences, when using physiological leaf properties to evaluate crop status and predict yields. We highlight significant differences in biochemical properties between young and old leaves, which introduce biases in remote data collection e.g. via drones or unmanned aerial systems. Since drones predominantly capture data from the upper canopy leaves, this may not adequately reflect the overall plant physiological status. To enhance the accuracy of data and improve precision agriculture practices and yield predictions, combining remote sensing data with ground-level measurements is strongly recommended.
在整个生长季节监测植物活力对于支持精准农业实践和改进作物产量预测至关重要。虽然遥感技术为作物监测提供了快速有效的工具,但在准确解释数据方面仍然存在挑战。本研究探讨了叶片生化特性在白天(上午和下午)、物候阶段(营养和生殖)的时间动态以及品种间的差异。采用便携式Dualex®Scientific meter测定了7个玉米品种生长季叶片叶绿素、类黄酮含量及氮素平衡指数(NBI)。结果表明,叶绿素含量和NBI的日变化显著,上午高于下午。而黄酮类化合物含量无日变化。物候阶段也影响叶片的生物化学,有幼叶和老叶的区别。例如,与衰老较早的老叶相比,幼叶表现出更高的叶绿素浓度和NBI,以及更低的黄酮类化合物。不同品种间也存在差异,一些品种的叶绿素含量和NBI较高,这可能受作物成熟期的影响。这些叶片生化差异对籽粒产量影响不显著,但对地上生物量(即株高和穗重)影响较大。这些发现强调了在利用叶片生理特性评估作物状况和预测产量时,考虑昼夜和物候因素以及品种特异性差异的重要性。我们强调了幼叶和老叶之间生化特性的显著差异,这在远程数据收集中引入了偏差,例如通过无人机或无人机系统。由于无人机主要采集冠层上部叶片的数据,这可能不能充分反映植物的整体生理状态。为了提高数据的准确性,改进精准农业实践和产量预测,强烈建议将遥感数据与地面测量数据结合起来。
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引用次数: 0
Localizing climate action in cities: Applying historical ecology to urban climate governance 城市气候行动本地化:将历史生态学应用于城市气候治理
Pub Date : 2025-08-23 DOI: 10.1016/j.gecadv.2025.100024
Christopher C. Graham
Cities are at the epicenter of global climate action. As a feature of urban climate governance, several major cities across the United States have developed multi-year action plans to conceptualize and coordinate their climate mitigation and adaptation efforts. For certain cities, these plans have been transformative. Leveraging resources and policy processes, they integrate climate resilience-building into long-term planning and urban development projects. However, the literature and practice of urban climate governance typically exist between the present and the future. There is relatively minimal regard for the historical forces that have shaped regional ecologies and cities, some for hundreds of years. Drawing upon historical ecology approaches, utilizing geoinformatics, and conducting quantitative and qualitative content analysis of city-specific climate action plans, this study examines how and why cities are applying historical knowledge and ecological principles in urban climate governance. The findings indicate that city planners and officials are increasingly integrating ecological practices and historical knowledge systems as a means of localizing, customizing, and better contextualizing climate action, particularly focusing on reducing combined risks in highly susceptible communities and urban landscapes. Green engineering and infrastructure, water resource management, and urban biodiversity enhancement are areas where this application has been most evident. Cities nevertheless encounter significant governance challenges in meeting the desired climate action outcomes. The results suggest that limited availability of historical data, ethical considerations regarding the use of Indigenous knowledge, climate solutions disparities, and historical path dependency are among the main limiting factors.
城市是全球气候行动的中心。作为城市气候治理的一个特点,美国的几个主要城市制定了多年行动计划,以概念化和协调其减缓和适应气候变化的努力。对某些城市来说,这些计划具有变革性。它们利用资源和政策程序,将气候适应能力建设纳入长期规划和城市发展项目。然而,城市气候治理的文献和实践通常存在于现在和未来之间。对于塑造区域生态和城市的历史力量(有些已经持续了数百年),人们的关注相对较少。利用历史生态学方法,利用地理信息学,并对城市具体气候行动计划进行定量和定性内容分析,本研究探讨了城市如何以及为什么在城市气候治理中应用历史知识和生态原则。研究结果表明,城市规划者和官员越来越多地将生态实践和历史知识系统结合起来,作为本地化、定制化和更好地适应气候行动的一种手段,尤其注重减少高度易感社区和城市景观的综合风险。绿色工程和基础设施、水资源管理和城市生物多样性增强是这种应用最为明显的领域。然而,城市在实现预期的气候行动成果方面面临着重大的治理挑战。研究结果表明,历史数据的有限可用性、关于土著知识使用的伦理考虑、气候解决方案差异和历史路径依赖是主要的限制因素。
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引用次数: 0
Power dynamics influence resilience to shocks: evidence from Bangladesh 权力动态影响抵御冲击的能力:来自孟加拉国的证据
Pub Date : 2025-08-14 DOI: 10.1016/j.gecadv.2025.100023
Zack Guido , Timothy J. Finan , Mehrul Islam , Fatima Jahan Seema , Nayeem Hasan , Saima Akter , Baishakhi Ghosh , Faysal Ahmed Shovo , James Soren
Resilience has gained influence as an organizing principal for development in recent years. It offers a logic that places development progress on the ability of individuals or groups to maintain well-being, and possibly transform it, despite social and environmental shocks. Although there has been substantial research on the determinants of resilience, a gap in understanding exists about how power dynamics affect resilience and how resilience interventions can address power. This research study explores the links between power and resilience within highly vulnerable communities where development interventions have had a long presence. We present empirical results from community-based research conducted in eight rural northern Bangladesh communities. Our analysis is presented in three steps. First, we show the various ways people contend with shocks, and we group these local activities into common resilience strategies. We then show evidence of change in the traditional exercise of power expressed as increased agency (power-to) and reduced constraints and restrictions (power-over). Finally, we show different pathways by which the changes in power affect resilience strategies, concluding that shifts towards more equitable power relations enhance resilience capacities. We discuss the implications of these results for designing resilience interventions and integrating power into resilience studies.
150 Word Summary
Resilience has become influential as an organizing principal for sustainable development, placing development progress on the ability of individuals or groups to maintain well-being or transform it despite social and environmental shocks. Resilience, however, has focused on material aspects of development and not adequately addressed how power dynamics affect resilience and how resilience interventions can address power. This study present results on the relationships between power and resilience using community-based research in eight rural Bangladesh communities. The study documents the ways people contend with shocks, presents evidence of change in the exercise of power expressed as increased agency (power-to) and reduced constraints and restrictions (power-over), and show pathways by which changes in power affect resilience. We discuss how development programming can use power analyses to design of interventions and evaluated their impacts. We conclude that shifts towards more equitable power relations enhance resilience capacities and, thus, development goals.
近年来,弹性作为发展的组织原则已经获得了影响力。它提供了一种逻辑,将发展进步放在个人或群体维持福祉的能力上,并可能在社会和环境冲击的情况下改变它。虽然对弹性的决定因素进行了大量的研究,但对权力动态如何影响弹性以及弹性干预如何解决权力问题的理解存在差距。本研究探讨了长期存在发展干预措施的高度脆弱社区的权力与恢复力之间的联系。我们提出了在孟加拉国北部八个农村社区进行的基于社区的研究的实证结果。我们的分析分为三个步骤。首先,我们展示了人们应对冲击的各种方式,并将这些地方活动归类为共同的弹性策略。然后,我们展示了传统权力行使变化的证据,表现为增加的代理(权力到)和减少的约束和限制(权力移交)。最后,我们展示了权力变化影响弹性策略的不同途径,得出的结论是,向更公平的权力关系的转变增强了弹性能力。我们讨论了这些结果对设计弹性干预措施和将权力整合到弹性研究中的意义复原力作为可持续发展的一项有影响力的组织原则,将发展进展置于个人或群体在社会和环境冲击下维持或改变福祉的能力之上。然而,复原力关注的是发展的物质方面,而没有充分解决权力动态如何影响复原力以及复原力干预如何解决权力问题。本研究通过对孟加拉国八个农村社区的社区研究,介绍了权力与弹性之间关系的结果。该研究记录了人们应对冲击的方式,提出了权力行使变化的证据,表现为增加代理(权力到)和减少约束和限制(权力移交),并展示了权力变化影响弹性的途径。我们讨论了发展规划如何使用功率分析来设计干预措施并评估其影响。我们的结论是,向更公平的权力关系转变可以增强抵御能力,从而提高发展目标。
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引用次数: 0
Potential consequences of the international transfer of emission allowances under the updated national emissions targets by 2030 到2030年,根据更新的国家排放目标,国际转让排放配额的潜在后果
Pub Date : 2025-07-15 DOI: 10.1016/j.gecadv.2025.100022
Toshiki Tsutsui , Osamu Nishiura , Shinichiro Fujimori , Ken Oshiro
All parties that signed the Paris Agreement are required to update their Nationally Determined Contributions (NDCs) every 5 years. The international transfer of emission allowances is a political instrument that has the potential to realize global emission reductions under the NDCs. This study conducted an economic assessment of the implementation of updated NDCs and quantified the effects of the international transfer of emission allowances using a global computable general equilibrium model. The results showed that updating NDCs increased gross domestic product (GDP) losses relative to the previous NDCs. The international transfer of emission allowances mitigated global GDP losses relative to baseline scenarios from 1.1 % to 0.7 % but there was an increase in some developing countries with relatively low emission reduction targets. While the international transfer of emission allowances could promote the reduction of global emissions in a cost-effective manner, it could also impose an economic burden on some developing countries through their linkages to the global carbon market. Thus, the results of this study indicate the importance of considering additional financial or technical support to developing countries.
所有签署《巴黎协定》的缔约方都必须每5年更新一次国家自主贡献(NDCs)。排放配额的国际转让是一种政治工具,有可能在国家自主贡献下实现全球减排。本研究对更新后的国家自主贡献的实施进行了经济评估,并使用全球可计算一般平衡模型量化了排放限额国际转移的影响。结果表明,更新的国家自主贡献相对于以前的国家自主贡献增加了国内生产总值(GDP)损失。相对于基线情景,排放限额的国际转让将全球国内生产总值损失从1.1 %减轻到0.7 %,但在一些减排目标相对较低的发展中国家,损失有所增加。虽然排放配额的国际转让可以以具有成本效益的方式促进全球排放量的减少,但它也可能由于一些发展中国家与全球碳市场的联系而给它们带来经济负担。因此,这项研究的结果表明,必须考虑向发展中国家提供额外的财政或技术支助。
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引用次数: 0
The long-term suitability of agrivoltaics as a climate adaptation strategy in the southwestern United States 在美国西南部,农业发电作为气候适应策略的长期适用性
Pub Date : 2025-07-15 DOI: 10.1016/j.gecadv.2025.100021
Talitha H. Neesham-McTiernan, Greg A. Barron-Gafford
The semi-arid environment of the southwestern United States, coupled with rising temperatures and reducing water availability, is threatening the sustainability of agriculture. To sustain farming here, strategies that support agricultural systems in adapting to the changing climate are needed. In such environments, agrivoltaics create a microclimate that can reduce air temperature and increase water efficiency, potentially providing a promising adaptation solution. However, strategic and appropriate implementation requires understanding where these systems would be most beneficial. We evaluate land suitability for agrivoltaics across the southwest using spatially explicit multi-criteria decision analysis, which incorporates biophysical variables that relate to the potential microclimate benefits provided by agrivoltaics under current and future climate conditions. Results show 310,393 km2 of the region is suitable for agrivoltaics, with 20,576 km2 classified as most suitable under current conditions, increasing to 31,712 km2 under 2080 conditions. Arizona, New Mexico, and California contain the largest area of most suitable land under all time periods, with Luna and Torrance counties, New Mexico, Cochise and Maricopa counties, Arizona, and Imperial County, California, consistently ranking as the most suitable counties. Suitability increases as climate change progresses, with New Mexico and California seeing the largest relative gains. 82.7 % of the region is found to be unsuitable, highlighting the need for careful site selection when considering agrivoltaic implementation. Despite this, our findings indicate the substantial potential for agrivoltaics to support agricultural systems in the southwestern U.S. adapt to mounting environmental pressures and establishes a foundational understanding of where these systems could be most beneficial.
美国西南部的半干旱环境,加上气温上升和可用水资源减少,正威胁着农业的可持续性。为了维持这里的农业,需要支持农业系统适应气候变化的战略。在这样的环境中,农业发电创造了一个可以降低气温和提高用水效率的小气候,可能提供一个有前途的适应解决方案。然而,战略性和适当的实施需要了解这些系统在哪里最有益。我们使用空间明确的多标准决策分析来评估西南地区农业发电的土地适宜性,该决策分析结合了与农业发电在当前和未来气候条件下提供的潜在小气候效益相关的生物物理变量。结果表明:该地区适宜农用发电面积为310,393 km2,目前条件下最适宜农用发电面积为20,576 km2, 2080条件下适宜农用发电面积增至31,712 km2。亚利桑那州、新墨西哥州和加利福尼亚州在所有时期都拥有最适合的土地面积,其中新墨西哥州的卢纳县和托伦斯县、亚利桑那州的科奇斯县和马里科帕县以及加利福尼亚州的帝国县一直被评为最适合的县。适应性随着气候变化的进展而增加,新墨西哥和加利福尼亚的相对收益最大。82.7 %的区域被发现不适合,强调在考虑实施光伏发电时需要仔细选择地点。尽管如此,我们的研究结果表明,农业发电在支持美国西南部农业系统适应日益增加的环境压力方面具有巨大的潜力,并建立了对这些系统可能最有益的基础理解。
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引用次数: 0
Exploring energy consumption trends: Insights from developed and developing nations 探索能源消费趋势:来自发达国家和发展中国家的见解
Pub Date : 2025-06-14 DOI: 10.1016/j.gecadv.2025.100020
Isma Sadaf , Babar Hussain
This study investigates the determinants of energy consumption, with a primary focus on energy prices, and explores whether human capital moderates the relationship between energy prices and energy consumption across developed and developing countries. Using the generalized method of moments (GMM) for empirical analysis, the study examines data from 81 countries over a 33-year period from 1990 to 2023. The findings reveal that an increase in energy prices leads to reduced energy consumption in both developed and developing nations. Furthermore, the moderating role of human capital suggests that energy prices and human capital act as substitutes in influencing energy consumption. Specifically, the conditional analysis indicates that when human capital transitions from lower to higher levels, energy prices exert a more detrimental effect on energy consumption. These insights have practical implications, particularly highlighting the importance of investing in human capital to enhance energy efficiency. The study suggests that policymakers worldwide should prioritize investments in higher education, as this can lead to improved energy efficiency through the positive link between human capital and energy use. To the best of the authors' knowledge, this is the first comprehensive empirical study examining the role of human capital in the relationship between energy prices and energy consumption in both developed and developing countries.
本研究调查了能源消费的决定因素,主要关注能源价格,并探讨了人力资本是否调节了发达国家和发展中国家能源价格和能源消费之间的关系。该研究使用广义矩量法(GMM)进行实证分析,研究了81个国家1990年至2023年33年间的数据。研究结果表明,能源价格的上涨导致发达国家和发展中国家的能源消耗减少。此外,人力资本的调节作用表明,能源价格和人力资本在影响能源消费方面起替代作用。具体而言,条件分析表明,当人力资本从较低水平向较高水平过渡时,能源价格对能源消费的不利影响更大。这些见解具有实际意义,尤其突出了投资人力资本以提高能源效率的重要性。该研究建议,世界各地的政策制定者应优先考虑对高等教育的投资,因为这可以通过人力资本和能源使用之间的积极联系来提高能源效率。据作者所知,这是第一次全面的实证研究,考察了人力资本在发达国家和发展中国家能源价格和能源消费之间的关系中的作用。
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引用次数: 0
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Global Environmental Change Advances
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