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Climate protection goals and the transformation of the mobility sector are pushing the shipping industry to develop new propulsion systems emitting fewer or no greenhouse gases. One promising approach to eliminate greenhouse gas emissions from ships is a hybrid propulsion system powered by fuel cells and batteries. A high-temperature solid oxide fuel cell (SOFC) can supply heat and the electrical power demand in combination with a battery. Due to the low dynamic performance of the SOFC when faced with sudden load changes, a battery is responsible for providing the power for the dynamic load components. To ensure the resource-efficient operation of the propulsion components, intelligent energy management methods are required for power distribution control. Implementing a machine-learning-based energy management method based on twin-delayed deep deterministic policy gradient (TD3) improves the overall system efficiency, lifetime, and fuel economy compared to conventional energy management methods. To verify the technical feasibility of the propulsion system including its controls, the system is tested in a hardware-in-the-loop (HIL) environment. By implementing the TD3-based algorithm within the energy management used on the test bench, hydrogen consumption was reduced by approximately 10% and the remaining battery capacity after five years was 6% higher in comparison to conventional energy management methods. [Display omitted] • Hybrid electric propulsion system for a marine application. • Development of machine-learning-based energy management algorithms. • Validation measurements with propulsion components. • Assessment of the economic performance for a large cruise ship application. [ABSTRACT FROM AUTHOR]

Sustainable socio-economic development requires a global reduction of greenhouse gas emissions. We utilize an incentivized experiment to map the preferences of 'policymakers' over climate actions of 'decision-makers'. Our design guarantees that these preferences are unaffected by selfish motives such as a concern about being re-elected or an unwillingness to pay for the greater good. Few of our impartial policymakers choose interventions that leave the autonomy of decision-makers' completely untouched. The choice patterns of those who intervene suggest that policymakers care not only about minimizing emissions, but also about how emissions are reduced. Policymakers strongly prefer pricing policies over capping emissions, and among the pricing policies, they prefer those that include voluntary carbon offsets, even if this leaves considerable scope for decision-makers to selfishly emit CO 2. The reason is that policymakers expect decision-makers to voluntarily offset some of their emissions at their own cost, and believe that this would eventually improve the outcome in terms of both emissions and the decision-makers' profit relative to a standard carbon pricing policy (without offsetting). Our decision-making data confirm this expectation. [ABSTRACT FROM AUTHOR]

Achieving China's ambitious carbon neutrality goal requires tangible action by the provinces. Significant heterogeneities between provinces make for divergent transition paths and different contributions to climate goals. To portray the dynamics of the energy transition at the provincial level, this study develops a China's provincial energy-environment-economic model (China TIMES-30PE) with special consideration of the interprovincial electricity transmission. To achieve carbon peaking, it is necessary to raise the carbon intensity reduction target on the basis of the 13th Five-Year Plan and enable rapid emission reductions through non-fossil energy expansion, end-use electrification, and the hydrogen boom to achieve carbon neutrality. Renewable energy and energy storage growth is concentrated in West, but electricity demand is growing rapidly in the East, creating a clear mismatch and making inter-provincial transmission and grid needs steeper. The central provinces shift from electricity exporters to electricity importers in future energy system landscape. By 2060, China is expected to form several major inter-regional power transmission routes from Northwest China to the Yangtze River Delta and Central China, from Inner Mongolia to Shandong, Beijing-Tianjin-Hebei and Henan, from Sichuan to the Yangtze River Delta, and from Yunnan to Guangdong. Driven by large-scale long-distance transmission, the capacity of ultra-high voltage lines is expected to increase rapidly. • Present the provincial carbon emission pathways towards carbon neutrality targets. • Provincial load curves are introduced in China TIMES-30PE model. • Large renewable power deployment increases the interprovincial power transmission. • The power transmission pattern is shifting towards long-distance and large-capacity. • Capacity of long-distance UHV lines grow rapidly under carbon neutrality targets. [ABSTRACT FROM AUTHOR]

Container farm (CF) is a promising method to satisfy the urban vegetable demand and achieve global climate goals. Vegetable growth in fully artificial interior environments enables an efficient, steady, and year-round production of vegetables despite outdoor climate conditions. However, the high energy intensity associated with CF remains a bottleneck for its generalization. To minimize the energy consumption of container farms (CFs), this study conducted a detailed energy examination and proposed an energy optimization workflow. In the energy examination, an energy model was developed based on the lumped parameter method using EnergyPlus and validated by two benchmark experiments on a specific CF on Chongming Island, Shanghai. The results revealed that the predicted energy consumption was consistent with the measured energy consumption: the normalized mean bias error (NMBE) was <1%, and the coefficient of variation of the root-mean-square error (CV(RMSE)) was <25% for the hourly air-conditioning energy. With the validated energy model, energy optimization was considered in the hot period and other period, tailored to the local climate and characteristics of the equipment in the target CF. Based on parallel computing, the optimal envelope design was determined by enumeration in the hot period, whereas the optimal mechanical ventilation schedule was obtained by the selection-after-subdivision method in the other period. The maximal energy-saving potential of the two-period workflow was 773.4 kWh, which accounted for 33.8% of the original air-conditioning energy use, i.e. 25% more saving than the non-staged method. This study provides suggestions for the CF energy examination and support CF design improvements and operation decision-making. The examination process and optimization workflow can be extended to energy savings in other indoor agricultural methods. • An energy model for container farm (CF) was proposed and validated. • Two-period optimization proposed: CF envelope design in hot periods and mechanical ventilation in others. • Two-period method conserved 25% more HVAC energy than commonly-used non-staged method. • The optimized workflow can save up to 1/3 of the annual HVAC energy compared to the current CF. [ABSTRACT FROM AUTHOR]

Digital technology presents critical opportunities for controlling global warming within the 1.5 °C threshold established by the Paris Agreement. However, the nonlinear effects of data factors on climate resilience remain poorly understood. This paper, employing a Green Solow model within the framework of a Constant Elasticity of Substitution production function, uncovers a nonlinear, inverted U-shaped response. Utilizing a high-dimensional fixed-effects model and panel data from 30 Chinese provinces between 2011 and 2020, we identify a U-shaped relationship between data factors and low-carbon development in the manufacturing sector, with more pronounced effects in regions with higher levels of marketization. This impact is primarily driven by pathways such as green technological innovation and enhanced resource allocation efficiency. To further validate the global applicability of our findings, we extended the analysis to 166 countries worldwide. The results remained robust, indicating that the positive effects of improved data production factors on low-carbon development in the manufacturing sector are more significant in high-income countries, OECD member states, and nations with advanced digital infrastructure. Our study suggests that supporting and incentivizing data openness, promoting interaction and sharing of manufacturing data, and enhancing data center and network infrastructure construction are essential. [Display omitted] • A U-shaped relationship exists between data factors and low-carbon manufacturing. • Data factors impact low-carbon manufacturing via green innovation and efficiency. • The U-shaped relationship is more pronounced in regions with higher marketization. • Global analysis validates the findings, with stronger effects in advanced economies. [ABSTRACT FROM AUTHOR]

We develop a framework for incorporating biodiversity impacts into land use optimization models. Using the countryside species–area relationship, six approaches to incorporating biodiversity are evaluated: constraint versus objective function, and with characterization factors, piecewise linear, or non-linear implementation. We also consider the underlying ethical assumptions of different options for biodiversity evaluation considering taxa and ecoregions. To explore the six approaches, we use a case study that considers both climate change mitigation and the biodiversity impact due to habitat loss. We find that the characterization factor approach underestimates biodiversity loss, while the piecewise linear approach somewhat overestimates. Utilizing two approaches: biodiversity protection as the objective, and biodiversity as a constraint allows the construction of a Pareto frontier for cost versus loss of species. In addition to minimum cost solutions and minimum biodiversity loss solutions, the integrated model allows to identify (1) solutions with improved outcomes, those better for biodiversity and with small changes on costs, (2) mechanisms the model uses to achieve the improved solutions, (3) trade-offs and (4) challenges. [Display omitted] • We show how biodiversity can be included in land use optimization models. • A case study combines climate mitigation and biodiversity protection. • We illustrate biodiversity as a constraint or in the objective function. • Piecewise linear performs better than the characterization factor approach. • A Pareto frontier shows cost versus species trade-off and improvement possibilities. [ABSTRACT FROM AUTHOR]

Faced with the multiple challenges of mitigating climate change, controlling air pollution, preserving ecological environments, and promoting economic growth, developing countries need to seek a synergistic development path. The Forest Carbon Sink Project (FCSP) has the potential to support developing countries in achieving these objectives. Currently, empirical research on the synergistic benefits of FCSPs is limited, leading to ongoing debate about their economic and environmental benefits. Therefore, this study uses panel data from 1600 counties in China to provide evidence for the development of FCSPs. Firstly, the study employs a difference-in-differences model to quantitatively assess the causal relationship between FCSP and both economic development and air quality. Furthermore, this study evaluates the potential of FCSP to reduce carbon emissions by setting a scenario of bioenergy planting (BCP). The empirical results show that, compared to non-project counties, FCSP project counties experience a 6.70% increase in real GDP and a 0.90% decrease in PM 2.5 concentration. FCSP generates economic benefits by increasing residents' income, boosting fixed asset investment, and upgrading industrial structure. And it improves air quality by expanding forest area and enhancing vegetation coverage. Scenario simulations show that in the BCP scenario, one project county can yield 23.39 Kt of biomass yearly. Scaling the FCSP to 500 counties would result in an annual reduction of 24.46 Mt. of CO 2 emissions. This amount constitutes roughly 28% of China's CO 2 emission increase in [ 8 ], which was 88 Mt. • Statistical and remote sensing data are combined to build a county-level economic and air quality database in China. • A multi-period DID model is applied to identify the synergistic benefits of Forest Carbon Sink Project (FCSP). • The scenario simulation method is applied to study the possible development paths of FCSP. • Existing FCSPs can synergistically promote economic growth and improve air quality. • Developing bioenergy plantations could allow FCSP to steadily reduce carbon emission in energy sector. [ABSTRACT FROM AUTHOR]

We present a systematic review of the scientific production on climate adaptation in Brazil, using quantitative and qualitative methodologies. The analysis of adaptation categories indicated a good balance between social (38 %) and institutional (33 %) adaptation actions, with a lesser share of physical/infrastructure adaptation (25 %). Assessed impacts tend to focus on higher temperature or heat events (21 %), mainly with regard to human health, along with droughts or water resources issues (20 %), particularly agricultural production. The studied biomes or environments showed a predominance of the most populous areas, such as urban (27 %) and coastal (17 %), indicating the need to target climate adaptation actions at the various Brazilian natural biomes, which, together, are addressed in only 30 % of the papers analysed (all six biomes combined). Indexes development and documentary analysis were predominant methodologies. The dialogue between science and society must be improved, especially with public management, in the production, execution and dissemination of climate adaptation actions. Nature-based solutions were listed as emerging solutions for addresing climate change impacts, acting both for mitigation and adaptation. Popular participation was pointed out by several authors as fundamental in the joint construction of these actions, as well as the provision of information on access to climate finance, which may be of interest to both public and the private sectors. • A review of the scientific production in climate adaptation in Brazil was performed. • Indexes development and documentary analysis were the predominant methodologies. • Only 30 % of papers evaluated the various natural biomes in Brazil, such as the Amazon. • Engineering fields need better integration with the human aspects of climate change. • Popular participation and the dialogue between science and society must be enhanced. [ABSTRACT FROM AUTHOR]

Recent articles have demonstrated the knowledge and accuracy of oil corporations' predictions made since the 1950s on the effects of their products on the global environment. But can the early relationship between oil corporations and national governments and lack of climate actions by both actors count as ecocide? If so, should remedial strategies appeal to freer markets for oil or greater state regulation? Cast within the wide context of investigating the collusion at play between powerful political-economic actors and decision-makers as monopolists and debates about 'the modern corporation and private property' (Berle and Means, 1932/2017), 'the new industrial state' (Galbraith, 1967), and 'the economic theory of regulation' (Stigler, 1971), the paper reviews the contentious relationship between states, corporations, and markets. Specifically, the article probes strategies of oil corporations and national governments intended to delay the inclusion of environmental concerns in policies and avoid accountability. Our method of content analysis of articles, reports, and international declarations of different actors and periods relies on a qualitative methodology and ontology of critical realism. We find that not only did oil corporations hide the truth, but also that national governments, that knew (or should have known) about the threat posed by oil industrial activities and which have wider responsibilities than corporations, did not act and are (at least) as responsible and as 'ecocidal' in what could be called an oil TNC-state alliance. Accordingly, we open the avenues for redressing an evolutionary shift from markets and states to commons, and embedding power within communities (Polanyi, 1945) along with a more universal right to bring a case of ecocide against both transnational oil corporations and states that collude with them. • National governments were, as shareholders of oil companies, potentially aware of global warming before the 1970s. • There is a lack of accountability of transnational companies and national governments for the current environmental crisis. • Local communities affected by oil activities need more support to bring their cases to oil companies' home country. • The absence of constraining and applicable rules stems from a lack of political independence and will. [ABSTRACT FROM AUTHOR]

Bauxite residue or Red Mud (RM) is a by-product from alumina refineries. It has a high pH of 11–13 and accumulates globally at 200 million tons yearly, totalling about 4.6 billion tons. Being an alkaline anthropogenic geomaterial, its adsorption properties and reactivity with acidic gases make it a potential sink for CO 2 and SO X emissions from the aluminium industry. It offers both research challenges and opportunities for its utilisation at an industrial scale. In particular, carbon capture and mineralisation (CCM) within RM has been demonstrated in situ and waste disposal areas through direct air trapping of atmospheric CO 2. The RM-CO 2 system is also operated in ex-situ conditions in various physical states, such as powder, wet cakes, and slurry, with yields of carbonates as CaCO 3 , Na 2 CO 3 , and FeCO 3. Our contribution as a review illuminates significant advancements made and challenges for enhancing the mineral carbonation potential of RM, thereby delineating areas necessitating further exploration. Although, researchers have primarily focused on accelerating the CCM process in RM through slurry carbonation techniques. Recent advancements in filter press technologies have favoured soda recycling and wet cake disposal of RM, creating artificial mountains of RM stacks. With changing disposal trends for RM, it is vital to understand the mechanisms that govern long-term atmospheric CO 2 trapping in RM disposal areas. Recent investigations of techniques, hydrothermal treatment and dual-stage calcification-carbonation methods have expanded the domain of CCM in RM. Given the global need to reduce CO 2 emissions, CCM using RM does offer promising insights on account of its unique physicochemical and mineralogical properties. We, although presume that RM alone will not fully offset the CO 2 emissions of the aluminium industry. Enhanced weathering and mineral carbonation could reduce over 50% of refinery emissions. Uncertainties persist regarding methods of CO 2 sequestration potential and techno-economic feasibility when tested at a field scale. Moreover, contrasting results are revealed, primarily regarding changing disposal trends, variabilities in mineralogy, and limited knowledge of micro-mechanisms of the CCM process in RM. This work elucidates existing knowledge on synthesising CO 2 mineralisation, pathways, and mechanisms under various states associated with leveraging RM as a significant carbon sink in current and future climate change mitigation efforts. [Display omitted] • Illustrates RM mineral carbonation process and mechanistic models for CCM methods (slurry, semi-dry, atmospheric). • CCM potential is studied along with mechanisms using hydrothermal treatment, siderite formation and calcification-carbonation method. • Guidelines for RM sample extraction methods based on its physico-geochemical changes in BRDA with atmospheric CO 2. • Current and future research directions are discussed. [ABSTRACT FROM AUTHOR]

This editorial summarizes the papers selected for publication in the Special Issue on Climate Change Mitigation and Adaptation in Power and Energy Systems (CMAP). After a rigorous review of 86 submitted manuscripts, 23 papers were accepted for publication. These accepted papers cover various aspects of climate change mitigation and adaptation and are classified as follows: boosting renewable energy efficiency (two papers), climate resilience strategies (four papers), decarbonization strategies (four papers), renewable energy integration (five papers), policies, incentives, and science communications (four papers), and the role of energy markets (four papers). The Guest Editorial Board is optimistic that this Special Issue will serve as a rich resource, offering invaluable insights to propel future research and advancements in climate change mitigation and adaptation. [ABSTRACT FROM AUTHOR]

Straw application is an effective and common measure to improve soil quality but generally increases greenhouse gas (GHG) emissions. The combined application of biochar and straw has been proposed to mitigate these emissions. However, the effects of the combined application of biochar and maize straw, particularly at different proportions, on GHG emissions remain inadequately understood. In this study, an incubation experiment was conducted with five treatments: soil only (CK), 1 % maize straw application (TS), 0.7 % maize straw +0.3 % biochar application (S7B3), 0.5 % maize straw +0.5 % biochar application (S5B5) and 0.3 % maize straw +0.7 % biochar application (S3B7). The study also considered the effect of 1 % biochar application (TB) from our previous study with the same soil type and incubation condition. Carbon isotope technology was utilized to trace CO 2 sources and assess the priming effects on soil organic carbon (SOC) mineralization. The results showed that TB reduced CO 2 emission, while TS increased CO 2 emission due to maize straw decomposition and its positive priming effect on native SOC mineralization. S7B3, S5B5 and S3B7 also increased CO 2 emissions, but with significantly lower emissions than TS, in the order of TS > S7B3 > S5B5 ≥ S3B7. The positive priming effects of S7B3, S5B5 and S3B7 on native SOC mineralization weakened over time and eventually turned negative. TB, TS and combined applications reduced N 2 O emission due to decreased substrates (NH 4 + and NO 3 −) for nitrification and denitrification, induced by promoting microbial fixation of inorganic nitrogen. The reduction effects on N 2 O emission of combined applications were superior to those of TS and TB, with S5B5 demonstrating the best efficacy. TS increased CH 4 emission, while S7B3, S5B5 and S3B7 reduced CH 4 emission. The reduction effects of CH 4 emission with combined applications were superior to that of TB, and S5B5 exhibited the lowest CH 4 emission. Unlike soils with higher nitrogen content, where N 2 O emission dominated the global warming potential (GWP), CO 2 emission dominated the GWP in this study, resulting in increased GWP in TS, S7B3, S5B5 and S3B7, but with significantly lower values for S7B3, S5B5 and S3B7 compared to TS. In conclusion, our study suggests that the combined application of biochar and maize straw, especially S5B5, could effectively mitigate GHG emissions promoted by maize straw application, especially in soils with higher nitrogen content. [Display omitted] • Biochar and maize straw co-application reduced CO 2 emission promoted by maize straw application. • The priming effect of co-application on SOC shifted from positive to negative over time. • Co-application reduced stimulation of CH 4 emission caused by maize straw application. • Co-application exhibited superior efficacy in reducing N 2 O emissions. • The optimal co-application ratio for mitigating greenhouse gas emissions was 1:1. [ABSTRACT FROM AUTHOR]

While identifying the drivers of global CO 2 emission is crucial for climate change mitigation, the heterogeneous technology-related drivers (e.g., technological change and efficiency of energy and CO 2 emission) were ignored to a large extent at a global scale, hindering to formulate heterogenous climate policies. Moreover, the projection of CO 2 emission was also not well compared for countries. Here, the study investigated the heterogeneous technology-related drivers of CO 2 emissions in time and space simultaneously in 42 major emitter countries over 1998–2020 by extending the spatiotemporal production-theoretical decomposition models, and compared the different performances for forecasting CO 2 emission by traditional time-series models and several machine learning models. Key findings as follows: first, drivers of CO 2 emissions exhibit significant heterogeneity across countries where the effects of energy usage technology gap and CO 2 emission technology gap were negative drivers for USA, South Korea, and the Czech Republic and potential energy intensity effect was the negative driver in countries like China, Russia, Japan, and India. Second, the effects of within-GDP per capita and within- population size were the important drivers affecting global CO 2 emission difference. Third, general regression neural network achieved the best forecasting performance on average compared with other models in the study. The study highlights the importance of formulating climate policies based on heterogeneous technology and emission forecast modeling. • Heterogeneous technology-induced global CO 2 emission reduction was analyzed. • Two spatial production-theoretical decomposition models were proposed. • Forecasting models including machine learning were compared for projecting. [ABSTRACT FROM AUTHOR]

Behavioral factors have been identified to determine farmers' uptake of the adoption of sustainable farming practices. However, the coherent consideration of empirically identified behavioral factors in ex-ante model-based policy assessments is still rare. This study presents an agent-based modelling framework that integrates empirical data on farmers' cognitive, social, and dispositional characteristics. Using this framework, we test and quantify the impact of including behavioral factors in ex-ante assessments of agricultural policies aimed at promoting sustainable farming practices. Thereby, we apply the same modelling framework to quantify and compare the effectiveness of results-based payments for climate change mitigation measures and precision agricultural technologies in two Swiss case studies. Our results indicate that farmers' cognitive and dispositional factors (e.g., reluctance to change) reduce the uptake of sustainable farming practices by 20–70% compared to simulations using income maximization as the underlying decision-making concept. In contrast, social factors can increase adoption by up to 40%. We conclude that including behavioral factors allows to improve ex-ante policy assessments in the context of sustainable farming practices. In addition, these approaches can highlight the importance of policy instruments that complement traditional economic measures, such as public support for the creation of networks. • We integrate behavioral economics in ex-ante assessments of agricultural policies. • The study combines agent-based modelling and empirical data on farmer behavior. • Results allow for a comparison of different decision-making models. • Behavioral factors reduce the uptake of sustainable farming practices. • Social factors can increase the adoption and the efficiency of agricultural policies. [ABSTRACT FROM AUTHOR]

The urgent need for climate change adaptation is becoming more pronounced as climate impacts pervade across all scales. To overcome growing constraints on adaptation, research on the social dimensions of adaptation behaviour is of increasing importance. In this respect, there is an expanding body of literature exploring how place attachment influences climate adaptation. However, studies on this relationship have thus far been sporadic and disconnected. We set out to evaluate existing literature with the goal of seeking a comprehensive perspective of current trends and gaps in research practice, and to identify whether place attachment aided or constrained adaptation. A systematic review was undertaken which identified 72 relevant research articles. We quantitatively assessed the research focus of these studies including the type of climate impact and type of adaptation being studied, as well as, study location, methods used and findings. We also conducted a thematic analysis of studies to elicit major emerging links related to attachment and adaptation. Our findings affirm the complex and dynamic nature of this relationship; specifically, we find that effect of place attachment on climate adaptation action are subject to the climate risk perceptions and personal values of the individual, contextual manifestations of climate change impacts, and local sociocultural processes. We identify several gaps in current research, particularly in terms of geography and demography which has implications for equitable climate adaptation. We highlight the need for longitudinal studies, especially from the perspective of successful climate planning and policy and changing environments; and emphasise the importance of incorporating comprehensive insight on place attachment in climate adaptation planning and decision-making processes. • The extent & manner of influence on adaptation depends on social values & perceptions. • If impacted, attachment could lead to opposition or reduced support for adaptation. • Place-based factors that derive attachment should be accounted for in planning & policy. • More studies based in countries in the global south are needed. • Longitudinal studies are necessary to understand effect of changing circumstances. [ABSTRACT FROM AUTHOR]

Two major sociopolitical challenges loom over the development of carbon removal. One is mitigation deterrence: that research and deployment of carbon removal could delay mitigation efforts. The other is environmental and climate justice — in particular that carbon removal will be developed in ways that further environmental racism, e.g. for the benefit of interests and groups in the global North while harming overburdened communities of color. A variety of policy measures have been proposed to deal with these challenges, from developing separate targets for emissions and removals to social safeguarding principles and standards. Here, we suggest that such measures in and of themselves are unlikely to be sufficient. Policy recommendations and scholarship on mitigation deterrence need to become more attentive to how racial capitalism helps form the conditions for mitigation deterrence. We describe how racial capitalism sets up mitigation deterrence, and how mitigation deterrence in turn goes on to perpetuate racial capitalism. We conclude by suggesting a few ways in which incorporating understandings of racial capitalism can help policymakers, carbon removal developers and investors make decisions that limit the risks of mitigation deterrence and racial injustice. • Racial capitalism is an important concept to understand for people thinking about carbon removal. • Racial capitalism enables mitigation deterrence from carbon removal through erasures in modelling and racialized labor formations. • Mitigation deterrence in turn goes on to perpetuate racial capitalism. • Environmental justice advocates have put forward ideas on addressing some mitigation deterrence risks from carbon removal. [ABSTRACT FROM AUTHOR]

Evapotranspiration (ET) is the main driver of the energy balance partitioning and influences hydrological and carbon cycles at global, regional and local scales. Furthermore, it is the main requirement for developing strategies to improve water use in agriculture. It is known that there is a close relationship between ET and rainfall, especially in tropical environments. Thus, the main goal of this article was to evaluate how ET and its controls (surface conductance - Gs; decoupling coefficient - Ω; Priestley-Taylor parameter - α) respond to the seasonal variability of meteorological forcing in tropical grazed pastures under the climatic conditions of Northeast Brazil. ET was measured using an Eddy covariance (EC) system and analyzed based on data from two agricultural years (2015–2016 and 2016–2017) with negative (-59 mm) and positive (356 mm) rainfall anomaly, respectively. ET exhibited pronounced seasonality, closely aligned with the seasonality of rainfall. Lower daily averages were observed during the dry season in both agricultural years (1.01 ± 0.60 and 0.89 ± 0.44 mm, respectively). On the other hand, higher daily averages were observed during the rainy season (2.44 ± 0.75 and 4.83 ± 0.96 mm, respectively). The Gs patterns and the significant correlation between Gs, Ω, and α (p < 0.01) indicate that surface control prevails over atmospheric control on an annual scale. This finding is confirmed by the annual mean values of Ω (0.27, 2015–2016) and α (0.38, 2016–2017). This relationship is likely induced by a vegetative stomatal control mechanism, which protects the vegetation against excessive water loss during periods of high temperatures and low humidity levels. These findings are crucial for understanding how droughts modulate components of the energy balance and water fluxes in pastures, especially given the intensification of these events. This has implications for the implementation of climate change mitigation policies and soil management. • The seasonality of grazing pasture ET was in line with the seasonality of rain. • On an annual scale, surface control over ET is more relevant than atmospheric control. • VPD is the main controlling factor of surface conductance. [ABSTRACT FROM AUTHOR]

Power pooling has emerged as a regional strategy for accelerating generation capacity expansion in West Africa with the aim of leveraging vast domestic energy resources and promoting investment in regional power infrastructure. As part of their climate action pledges, most West African countries have committed to increasing the shares of variable renewable energy (VRE), particularly solar photovoltaic and wind power, in their generation mix. It, however, appears that approaches to utility-scale capacity expansion planning tend to overlook the inherent temporal intermittency and spatial variability of VRE-based generation. Moreover, despite influencing the techno-economic rationale for grid expansion and off-grid electrification, as well as the trade-offs between high renewable supply areas and grid expansion, the spatial distribution of demand has been overlooked in planning approaches, leading to conservative and weak prospects for the contribution of utility-scale VRE. Such inconsistencies with the region-wide potentials and policy ambitions highlight that it is paramount for West Africa to design its power pooling such that spatial and temporal fluctuations of VRE supply are duly considered in capacity expansion planning while taking advantage of complementarities between VRE supply and national electricity demand profiles. To address this, the present paper applies a long-term generation capacity expansion model, OptGen, soft-linked to a least-cost operation module, the SDDP tool, which is enhanced by geospatial electrification analysis using the OpeN Source Spatial Electrification Tool (OnSSET), to a subset of four member countries of the West African Power Pool – Burkina Faso, Côte d'Ivoire, Ghana, and Mali – for the 2023–2040 time horizon. The results highlight that current frameworks lead to missed opportunities for bridging the supply-demand gap in all countries, not only in terms of VRE generation capacity, but also of cross-border power trade. • Long-term capacity expansion planning and dispatch models are soft-linked. • The spatial and hourly distributions of demand and renewables supply are considered. • The 10% limit on renewables share used in the regional master plan is not optimal. • The current system operation is not conducive to optimal cross-border trade. • The relaxed transmission scenario yields higher dispatch factors for renewables. [ABSTRACT FROM AUTHOR]

The synthesis and characterization of amine-impregnated polymer aerogels for CO 2 capture represents a groundbreaking advancement in combating the urgent challenges of carbon dioxide (CO 2) emissions and climate change mitigation. The traditional way of synthesizing aerogels for CO 2 capture is to use a one-step gelation process without functionalizing the aerogel, which, to some extent, has low CO 2 capture capacity and kinetics. This study finds a method of synthesizing the functionalized aerogel, which has high CO 2 adsorption capacity, faster kinetic, and is more stable. The polymer aerogel was developed using an oil-water emulsion polymerization method, followed by freeze-drying. It was impregnated with a mono-ethanolamine (MEA) solution to enhance CO 2 adsorption. The performance of the amine-impregnated poly (AAm-co-AAc) aerogels was tested in a continuous adsorption column filled with aerogel. The adsorption results showed the amine-impregnated aerogels having an amine equilibrium uptake value of 40% had significantly improved CO 2 capture capacity up to 2.34 mmole g−1 at 1 bar pressure, 25 °C reaction temperature, and 10 ml/min flow rate. The polymeric aerogel has a very fast adsorption rate, as it can capture 90% of its maximum capacity within just 10 minutes. Then the kinetic data of the CO 2 adsorption was modelled and found to best fit on both pseudo-1st and 2nd-order kinetic models, proposing that the adsorption mechanism on aerogel was controlled by surface diffusion and chemisorption. Furthermore, the isotherm data were evaluated and observed to be best represented by the Langmuir isotherm model, suggesting monolayer formation on the aerogel. After five adsorption-desorption cycles, the amine impregnated poly (AAm-co-AAc) aerogel was able to preserve the initial capacity without a significant decrease. These findings underscore the immense ability of amine-impregnated poly (AAm-co-AAc) aerogels as highly efficient adsorbents for CO 2 capture, thus offering a speedy adsorption process and showing stable regeneration capacity, thereby exhibiting greater industrial application potential. [Display omitted] • An emulsion polymerization method was used to synthesize aerogels for CO 2 capture capacity. • The morphology of the aerogel is fibrous, contributing to its high amine uptake. • Its CO 2 adsorption capacity is up to 2.34 mmole g−1 at 25°C, and regeneration stability is five cycles. • The aerogel exhibits a rapid adsorption rate, capturing 90% of its capacity within 10 minutes. [ABSTRACT FROM AUTHOR]

[Display omitted] • Contribution variations of various policies to PM 2.5 deaths are quantified by period and region. • Carbon and pollution controls can enable 79% to reside in low PM 2.5 areas by 2060. • Population aging could double PM 2.5 deaths by 2060 if other factors remain constant. • A joint effort for carbon and pollution could prevent 2.15 million PM 2.5 deaths by 2060. • Pollution controls can greatly reduce PM 2.5 before 2030, but climate policy becomes crucial after. To confront the challenges posed by air pollution and climate change, China has undertaken significant initiatives to develop strategies that address both issues concurrently. However, the health benefits of these initiatives have not been clearly articulated. In this study, the dynamic changes in health impacts under air pollution and carbon reduction actions in China are evaluated by employing the latest concentration–response models and projected PM 2.5 concentrations under future scenarios. From 2020 to 2060, the enforcement of clean air and climate mitigation policies is expected to increase the percentage of the population living with PM 2.5 concentrations meeting the 10 μg/m3 standard by 79 %. Without the implementation of relevant mitigation measures, PM 2.5 -associated deaths are projected to double due to an aging population. In comparison to the 2060 reference scenario, the joint implementation of clean air and carbon neutrality measures is expected to reduce nationwide PM 2.5 -associated mortality by 62 %, equivalent to 2.15 (95 % CI: 1.80–2.48) million deaths. Stringent pollution controls are crucial for reducing PM 2.5 -associated deaths before 2030, after which carbon neutrality actions become increasingly significant from 2030 to 2060. The challenges of mitigating future PM 2.5 -associated deaths vary greatly across regions, showing a critical response to pollution control and carbon reduction. The research proves the effectiveness of China's future air pollution control and carbon reduction policies in mitigating PM 2.5 -associated deaths. [ABSTRACT FROM AUTHOR]

Efforts to enhance greenhouse gas (GHG) emission reduction in East Asia play a pivotal role on both global and regional scales in advancing climate mitigation strategies. This study aimed to better constrain anthropogenic CO 2 emission estimates by expanding the network of near-surface in-situ stations for CO 2 observations across South Korea. To achieve an optimal CO 2 network design, we conducted an Observing System Simulation Experiment (OSSE) coupled with the Stochastic Lagrangian Transport model (STILT), utilizing meteorological data from the Korean Integrated Model (KIM). Our inversion setup incorporated two CO 2 emission datasets with a 0.1o resolution: EDGAR v6 for prior emissions and GRACED for truth emissions. A uniform model-mismatch error of 3 ppm was introduced across sites. The effectiveness of the existing five in-situ stations, termed the base network, in South Korea was evaluated to gauge their ability to constrain CO 2 surface flux estimates. However, the findings revealed a reduction in flux uncertainty of only 29.2%, which fell short of the desired uncertainty reduction goal. In this base network, the Lotte World Tower (LWT: 37.5126°E, 127.1025°E) in Seoul and the Anmyeondo (AMY: 36.538576° N, 126.330071° E) site in Taean county stood as major contributors, with estimated reductions of 17.48% and 6.35%, respectively. Consequently, we proposed and developed an extended network, identifying seven candidate sites based on consideration of logistical factors, existing infrastructures, and proximity to the emission source regions. An incremental optimization scheme ranked their contributions, resulting in an additional 25% reduction, bringing the total to 54.13%. However, it is noteworthy that diminishing returns (ranging from 13% to less than 0.1%) were observed with an increase in station count mainly due to the possibility that adding a station earlier in the sequence might render subsequent stations redundant. Despite this, the proposed CO 2 network successfully reduced uncertainty in emissions, narrowing the gap with the objectives of the Global Greenhouse Gas Watch (G3W). • Designing CO 2 near-surface observation network over South Korea. • New stations selected considering logistic factors, existing infrastructures, and proximity to emission sources. • The base network was able to reduce 29.18% of the uncertainty in CO 2 emissions. • Extending network, by adding new seven candidate sites, led to a total uncertainty reduction of 54.13%. [ABSTRACT FROM AUTHOR]

Hong Kong has used a risk-based Air Quality Health Index (AQHI) system for nearly a decade, which aggregates hospitalization risks associated with short-term exposure to pollutants. Serving as an air pollution risk communication tool, it keeps the public informed about the current air quality, anchoring around the World Health Organization's (WHO) 2005 Air Quality Guidelines (AQGs). Given the WHO's recent update to the AQGs in 2021, it is pertinent to examine how Hong Kong's air quality risk communication might be enhanced using these updated guidelines. The AQHI currently focuses only on short-term health risks, potentially leading to an underestimation of cumulative impacts. To address this, we propose enhancing the AQHI to include both long-term and short-term health risks. Short-term risks are estimated based on excess hospitalization risks from various pollutants using local data, while long-term risks are estimated using beta coefficients from the WHO due to limited local data. We further suggest using the WHO's Interim Targets (ITs) as thresholds for health risk categories, eliminating arbitrary cut-points. Promoting both public health protection and climate mitigation is important but challenging, particularly with the surge in ozone levels due to enhanced NOx controls in VOC-limited regions like Hong Kong and Guangdong. Nevertheless, despite the rise in ozone, combined health risks in these areas have decreased due to reductions in NO 2 and PM concentrations. Shifting to an AQHI-like total health risk assessment emphasizes the harmonization of health protection and climate mitigation goals. This health-focused framework posits that rigorous NOx controls can effectively serve both policy objectives in tandem. • After a decade's review, HK's AQHI advised to report on long-term health risks. • Original short-term AQHI helps daily plans but may overlook crucial long-term risks. • Long-term health risk-based AQHI clarifies air quality trends for easier public grasp. • Aligning AQHI bands with WHO AQGs & ITs ensures clear, transparent risk communication. • Drastic fossil fuel cuts boost health, aid climate, despite temporary ozone rise. [ABSTRACT FROM AUTHOR]

Drained peatland currently contributes 7.5% of Germany's total national greenhouse gas emissions. The National Peatland Protection Strategy adopted by the German government in 2022 recognizes that these emissions need to be reduced significantly to meet the country's climate change mitigation commitments. The present study employs a global dynamic computable general equilibrium model to assess the economic and greenhouse gas emission impacts of alternative agriculture-focused peatland rewetting scenarios for Germany up to 2030. In contrast to partial-analytic approaches, the global general equilibrium approach allows to take consistent account of economic ripple-on effects and carbon leakage effects triggered by peatland rewetting. The results suggest that in the medium term towards 2030 a reduction in annual emissions from agricultural peatland use by up to 45% are attainable at marginal private abatement costs between 27 and 61 Euro/tCO 2 e. Carbon leakage effects due to induced indirect land use change in Germany and the rest of the European Union reduce the global net emission reduction impact by 0.7 to 1.0% of the direct emission reduction. The effects on food prices remain small in all scenarios. In conclusion, a sizable reduction of Germany's land-use-related emissions is achievable at a low macroeconomic cost by moving beyond the moderate ambitions of the National Peatland Restoration Strategy. [ABSTRACT FROM AUTHOR]

The Andalusian olive grove in South Spain is employed as a case study to assess the environmental and economic effects of the green architecture (eco-schemes) of the Common Agricultural Policy in relation to low carbon agriculture under different soil management policy scenarios to support more efficient agri-environmental policy making. To do so, we adopted a multidisciplinary approach in which we used: (i) an integrated modelling framework comprising geographic information systems (GIS); (ii) the RothC model; and (iii) a cost-benefit analysis. Results show that eco-schemes provide a significant increase of soil organic carbon (SOC) relative to cross-compliance. Practices involving vegetation covers are more efficient than using pruning residues as mulching. SOC accumulation increases rapidly in the first five-ten years to slow down afterwards. The cost-benefit ratios of eco-schemes policy implementation are higher than one when only SOC is considered. Nonetheless, the inclusion of additional co-benefits has the potential to invert this scenario and enhance policy efficacy. Various insights on optimizing the design and application of eco-scheme efficiency are provided. • The new eco-schemes CAP instrument proposed for woody crops contribute to increase SOC • Mowing cover crops leads to the highest SOC stocks, whereas pruning debris maintains SOC stocks. • Tillage and no-tillage with bare soil systems lead to a significant depletion of SOC stocks. • The economic benefits of eco-schemes would not off-set the costs borne by public authority • Environmental externalities are key to reach the profitability of the policy instruments. [ABSTRACT FROM AUTHOR]

The IPCC's 6th assessment report (AR6) has provided a wide range of variables and scenarios that meet climate targets of varying ambition. Many variables reported in the AR6 affect human welfare through climate change and mitigation, including but not limited to economic output, the natural environment, human health, and food and energy supply. In some of these dimensions, trade-offs exist between better performance in welfare-relevant dimensions and reaching more ambitious climate targets. Here, we apply recent advances in the theoretical multidimensional measurement of welfare, like the Human Development Index, to the AR6 database. The welfare metric is based on a welfare function approach, simple to apply, and intuitive. We apply a range of specifications of the welfare metric, aiming to derive robust rankings of climate policy targets that perform best in terms of the multidimensional welfare index. Across a large range of weights on welfare-relevant variables, we find that lower temperature is associated with higher welfare in 2100 unless there is a high weight on food supply. [ABSTRACT FROM AUTHOR]

This paper identifies which topics of negotiation are providing momentum for climate negotiations after the Paris Agreement and to what extent. To do so, it examines the main requests that developing countries have expressed through different negotiation groups between 2017 and 2023. To measure the progression of climate negotiations, the paper identifies whether those requests have been translated into COP decisions. This is done through discourse analysis contained in numerous daily reports of COPs, summaries, and official decisions. In this research, COP decisions are defined as the expression of collective negotiations in the UNFCCC system, and as decisions with political consequences. The paper identifies advancements on twenty-nine issues in areas like gender, loss and damage, facilitative dialogue, adaptation, and the acceleration of finance flows to small-island developing states. Eighteen issues have been identified as acknowledged in COP decisions, but not fully addressed. These correspond mainly to finance-related items and the commitment to contributing US$100 billion to climate mitigation. Sixteen issues have been identified as ignored in the COP decisions examined. The conclusions suggest that there is agreement on creating new frameworks to allow further discussions on important topics brought to the table by developing states, but there is no real agreement on increasing funding in a significant way. Also, conclusions underline that despite the lack of sufficient funding, commitment to fighting climate change has not declined over time, and states continue to prefer multilateral negotiations to working outside the United Nations Framework Convention on Climate Change mandate. • States prefer multilateralism to other forms of cooperation to face climate change. • Climate negotiations remain a key forum for countries' coordination despite the slowness in decision-making. • There has been progress in climate negotiations in the areas of loss and damage, gender or adaptation. • Funding remains a key issue in climate negotiations, being critical to increase trust among parties. [ABSTRACT FROM AUTHOR]

We analyze a multi-level ad-hoc emergency fund (MAEF) – the European NextGenerationEU program – as an opportunity to advance ambitious municipal climate action. Presently, MAEF follow a vertical complex governance structure, including strict timelines, evaluations, and competencies spread across policy scales, which condition local aspirations for transformative governance in terms of participation, inclusion, and equity. Drawing on qualitative data (interviews with key actors, participant observations, and primary policy and planning documents), we examine the implementation of NextGenerationEU-funded naturalization projects in Vitoria-Gasteiz, Spain, 2012 European Green Capital. We offer an empirical analysis of how MAEF requirements challenge locally formulated values of governance meant to advance civic participation, inclusion, and equity. Findings indicate that the municipal dependence on multi-level financing schemes represents a trade-off with local democratic governance, whereby the need for slow-er and finance-detached civic engagement processes clashes with EU requirements for rapid project execution. Here, civic contestation against the projects' processes reveals some of the core emergency funds governance weaknesses: a) a bricolage approach at the expenses of democratic governance, to ensure successful applications for climate finance projects and b) a fuzzy process without transparent communication of project selection and implementation. However, findings also reveal that the municipality failed to build up participation, inclusion, and consideration of social equity goals upstream, before and outside the context of MAEF. This reality calls for local decision-makers to develop more transparent governance models that help build up civic support when projects are in their early conception stage. • Municipalities depend on multi-level climate finance to materialize climate action. • Local planners deploy bricolage approach to attract funds. • NextGenerationEU pose risk on governance prioritizing civic participation, inclusion, equity. • Planners must operate with transparent project communication and justification to assure civic support. [ABSTRACT FROM AUTHOR]

Urban governance, the interplay of governmental bodies with other actors shaping decision-making and its implementation, plays a key role for mitigation and adaptation measures in cities. While knowledge co-production is advanced as an instrumental approach to support climate action, a gap between knowledge and implementation persists. The objective of the article is to better understand the complex nature of urban climate governance with which science – through data and people – is expected to interplay with. We introduce a framework, based on the analytical lens of co-production, to unpack the entanglements of rules and norms, interests and visions, knowledge and capacities in a particular local context in order to identify aspects that may encourage meaningful knowledge co-production. We build upon two cities as case studies: Hamburg, Germany and São Paulo, Brazil. We present the results of interviews in dialogue with insights from city documents and an online workshop. We found that even though data and expertise is available, its use remains unsystematic, while climate action is mostly hampered by missing political capacity, silo mentalities, and a structural lack of resources. We identified a paradox where social transformation is addressed by technocratic solutions and a high appreciation for mutual learning in knowledge co-production processes. We conclude that to make use of its transformative potential, the implementation of knowledge co-production for climate action in practice needs to become more holistic. This includes the integration of non-climate information linked to local concerns and values as well as a shift in focus from output to its procedural benefits. • Available climate information does not automatically lead to action in cities. • We investigated Hamburg and São Paolo by using the analytical lens of co-production. • We depict the complex entanglements in urban climate governance. • These entanglements shape the climate action taken in a particular context. • We propose a more holistic approach for the co-production of climate information in practice. [ABSTRACT FROM AUTHOR]

As an important initiative of climate action, REDD+ has been increasingly discussed in global policy arena. But delay in wider scale yet full-fledged implementation and its poor performance have raised suspects and pushed REDD+ toward in a long line of "conservation fad". In this paper, we have discussed the following ten questions to REDD+: (1) Does REDD+ address major causes of deforestation? (2) Does REDD+ contribute to global emissions reduction? (3) Does REDD+ recognize the inherent capacity of local people to manage their forests? (4) Does REDD+ respect the rights of indigenous people and local communities? (5) Does REDD+ justify the local governance and countries' sovereignty? (6) Does REDD+ ensure the transparency in program design and architecture? (7) Does REDD+ give credits to the carbon sequestering communities? (8) Does REDD+ supply sufficient reasons to justify the current carbon price? (9) Does REDD+ achieve climate goals through the voluntary carbon markets? and (10) Does REDD+ ensure sustainability of the ongoing projects? While discussing the questions, we have referred to global environmental issues of deforestation, emissions, transparency, decentralized governance, indigenous and local communities, voluntary carbon market, price effect, and other various contemporary sustainability issues. We argue that REDD+ could be a low-hanging fruit and act as a complimentary action to achieve its climate goal if it can address the issues raised under those ten questions. • We have raised and discussed ten important issues for REDD+ to be successful • REDD+ is popularly discussed yet highly debated conservation initiative • Forest centric activities would be inadequate for achieve climate goals through REDD+ • Voluntary carbon market is a challenge for successful REDD+ institutions • REDD+ should secure resource ownership and management authorship of locals [ABSTRACT FROM AUTHOR]

[Display omitted] • A two-stage cultivation strategy can increase both biomass and target product yield. • Sequential and multi-component extraction lead to downstream resource efficiency. • Seawater, wastewater, and recycled nutrients are crucial in maintaining efficiency. • Integrative design navigates trade-offs between environmental and economic aspects. • Life Cycle Costing and Sustainability Assessment broaden well-to-wheel analysis. Microalgae hold tremendous potential as sustainable bioresources in carbon capture, climate change mitigation, and the development of net-zero lifestyles. However, scaling up microalgae cultivation necessitates overcoming obstacles in strain selection, bioreactor design, and cultivation strategies. While microalgae were initially viewed as a simple biomass feedstock for energy security, emerging applications such as wastewater bioremediation, carbon capture, and the production of valuable chemicals have reshaped the overall perspective of microalgae. Exciting advancements in microalgal genetic engineering, encompassing evolutionary approach, CRISPR technology, modular cloning toolkits, and bioinformatics, pave the way for optimizing productivity and minimizing environmental footprints. This review delves into crucial aspects of microalgae cultivation, including harvesting, cell disruption, and waste valorization. Additionally, new understandings of integrative design and life-cycle assessment are discussed alongside the promise of bioenergy production, providing the current stage of development and challenges to handle. Ultimately, this review offers new perspectives on microalgal biotechnology aiming to contribute to an eco-friendly green paradigm. [ABSTRACT FROM AUTHOR]

The 2015 Sustainable Development Goals (SDGs) provide a set of aspirational objectives for the world, addressing interlinked themes including poverty, hunger, and climate action. Meeting these goals requires a similarly integrated and interdisciplinary approach. One component of such an approach may be agrivoltaic systems (AVS): dual use solar and agricultural systems wherein crops are grown beneath and between solar panels. Given their intersectoral nature, AVS will have complex impacts on the achievement of the SDGs. This analysis seeks to evaluate how AVS could impact progress towards the SDGs based on literature around the impacts of agriculture, solar, and AVS, and the indicators measuring progress towards the SDGs. It uses a Strengths, Weaknesses, Opportunities, and Threats (SWOT) framework and applies it in a unique way to understand the direct and immediate impacts to the SDGs following the installation of an AVS (i.e., strengths and weaknesses), and the potential impacts on the SDGs based on secondary or supplementary actions taken once an AVS is installed (i.e., opportunities and threats). Though the most obvious of AVS' impacts to the SDGs will be on Goals 2 (Zero Hunger) and 7 (Affordable and Clean Energy), evaluation of individual indicators shows that AVS can quantifiably impact 14 out of 17 SDGs, largely in a positive manner. However, evaluating impacts on the SDGs indicator by indicator also reveals possible negative, and unexpected, consequences of AVS. Yet, impacts on the SDGs will vary by location-specific factors such as climate, and so this analysis concludes with an application of the SWOT framework in Ethiopia for a farm where an AVS is under consideration. Altogether, this work should provide a means for evaluating the impacts of AVS on SDGs and insights into how to mitigate possible detrimental impacts while capitalizing on benefits. • Agrivoltaics measurably impact 13 out of the 17 Sustainable Development Goals. • Impacts of agrivoltaics depend on a reference case: single use agriculture or solar. • Agrivoltaic systems can underpin rural electrification of farms and schools. • Targeted government initiatives can capitalize on the benefits of agrivoltaics. [ABSTRACT FROM AUTHOR]

Existing assessments of climate mitigation technologies, like carbon capture utilisation and storage (CCUS), often rely on life cycle assessments (LCA), which are helpful for quantification but may not always be the most complete tools for decision-making. The novel contribution of this study is to provide the first application of a consequential carbon accounting approach, presented as a time-series analysis, to measure the system-wide change in emissions from CCUS linked to CO 2 -enhanced oil recovery. This method includes emissions from marginal oil production, a variable typically excluded in other LCA methods. The method was applied to a hypothetical CCUS project in Mexico to understand critical factors determining whether such an intervention can effectively contribute to emissions reduction in alignment with net-zero goals. Four intervention scenarios were assessed, comparing two distinct CO 2 injection strategies in oil reservoirs (water alternating gas and continuous gas injection) and two energy policy scenarios (current and sustainability). The findings suggest that the energy grid's role in overall emissions is relatively minor, with only a ∼2% difference between the compared scenarios, in contrast, the injection strategy has a significant impact on emissions. Scenarios 1 and 3 report a total change in emissions of −28.39 and −29.87MtCO 2 e, and scenarios 2 and 4 account for −19.63 and −21.22MtCO 2 e, respectively. The results highlight the importance of conducting system-wide analysis and comparing different scenarios to identify the critical components that drive changes in emissions and, therefore, support decision-making and project planning. • Consequential carbon accounting quantifies the system-wide change caused by CCUS. • A time-series provides decision-relevant information on climate change mitigation. • Market-mediated effects are highly relevant for CCUS projects. • CCUS is not consistent with net zero due to as remaining emissions. [ABSTRACT FROM AUTHOR]

• Implementation costs are a more relevant constraint to afforestation than opportunity costs. • Financial incentives for afforestation are constrained by market access and market prices. • Carbon-neutral and food multi-oriented land policies need further exploration. • Collaboration among global carbon markets can enhance CO 2 removal efficiency. Afforestation is a promising nature-based climate solution for mitigating climate change, but it is subject to a complex web of biophysical, cost-benefit, market, and policy processes. Although its biophysical feasibility has been established, the cost, market, and policy constraints that affect climate change mitigation through afforestation are still unclear. Here, we estimate such cost, market, and policy constraints on the basis of biophysical feasibility. Our findings reveal that implementation costs are a more relevant constraint than opportunity costs on mitigating climate change through afforestation. The China Certified Emission Reduction market currently provides only a 0.308 % incentive for climate change mitigation through afforestation, due to market access constraints. The current market prices of China Certified Emission Reduction, China Carbon Emissions Trading Exchange, and Nature Based Carbon Offset in Voluntary Carbon Market constrain 88.15 %, 87.95 %, and 85.75 % of CO 2 removal actions through afforestation, compared to the carbon price scenario (US$62.97 tCO 2 -1) of the EU Emissions Trading System. Moreover, land policy under the scenarios of prohibiting conversion of cultivated land to forest and forest restoration in degraded areas exhibit 8.87–29.59 % and 65.16–74.10 % constraints, respectively, on mitigating climate change through afforestation compared to land-use freedom conversion scenarios from 2020 to 2060. Thus, enhancing the incentive price of CO 2 removal, addressing the market access barrier, strengthening cooperation between global carbon markets, and exploring carbon–neutral and food multi-oriented land policies can be valuable sources of mitigation efforts over the next 40 years. [ABSTRACT FROM AUTHOR]

As a response to the increasing threat to sport events from climate change and expectations around climate change mitigation, sport event managers increasingly engage in environmentally-related initiatives that aim to reduce GHG emissions. One of the major contributors to GHG emissions at large sport events is spectators' travel and, thus, their associated modal choices. Building on the Sport Logistics Framework (SLF) and using the case study of Rapid Vienna, the largest football club in Austria, this study investigates spectators' modal choice to systematically assess the total GHGs emitted by spectators at a professional football home game. Data was obtained from two sources: a) an extensive data set collected on Rapid Vienna season ticket holders, and b) three surveys at home games which, together, constituted 3317 valid responses. The calculation of the GHG emissions resulted in 99,548 kg GHG emissions per home game or 6.0 kg GHG emissions per spectator. It was also found that 42.4 per cent spectators arriving by car emit 71.6 per cent of GHG emissions, while in contrast, 52.8 per cent of spectators using public transport emit 27.1 per cent of GHG emissions. The results also indicate that the possession of an annual public transport ticket seems to determine travel behavior, i.e. the majority of spectators with an annual ticket are using it, while spectators without a ticket are using a car. As such, this paper not only provides an opportunity for academics and managers to benchmark the data in order to identify initiatives to reduce the impact of GHG emissions, but also allows for the systematic measuring of the environmental impact of fan and spectator travel. • Fan travel to professional football games is a major contributor to GHG emissions. • We assess fans' modal choices and their carbon footprint at a football home game. • The home game emits a total 99,548 kg GHG emissions or 6.0 kg GHG emissions per fan. • We found that 42.4% fans arriving by car emit 71.6% of GHG emissions. • The study allows for benchmarking and systematic measuring of fan travel behavior. [ABSTRACT FROM AUTHOR]

• The 57.00% of the Yangtze River Economic Belt area exhibited a significant increase in annual NPP. • The response of NPP on climate factors was nonlinear, with greater sensitivity to temperature. • The impact of topographic factors on NPP changes had a threshold effect. Net primary productivity (NPP) of terrestrial ecosystems serves as a crucial carbon sink, playing a significant role in mitigating climate change. This study, focusing on the Yangtze River Economic Belt (YREB), a key area for both economic development and ecological conservation in China, evaluates the temporal and spatial changes in regional NPP and its responses to climatic factors against the backdrop of global change. Utilizing long-term NPP and meteorological grid data from 1981 to 2017, we analyzed the annual change patterns of NPP and its linear and nonlinear responses to climatic factors using copula functions. Our findings indicate that 57.00 % of the YREB has experienced a significant increase in NPP, with the most substantial decreases observed in Shanghai and its surrounding areas (P < 0.05). Temperature emerged as the primary climatic driver, positively correlating with NPP changes in over half of the study area (P < 0.05). Moreover, the nonlinear response of NPP to temperature and precipitation underscores the complex interactions between these factors, revealing a sensitivity to temperature variations that surpasses that to precipitation. The study also highlights the influence of solar radiation and topographic factors, with a significant positive correlation between NPP and solar radiation observed in 15.85 % of the area (P < 0.05). The practical significance of these findings lies in their implications for regional ecological management and climate resilience strategies. The positive correlation between temperature and NPP underscores the potential for targeted temperature management to optimize carbon sequestration across the YREB. Furthermore, the identified nonlinear responses and the role of solar radiation and topography in influencing NPP offer valuable insights for the formulation of adaptive strategies that enhance ecosystem productivity and contribute to achieving carbon neutrality goals. By elucidating the dynamics of NPP in response to a range of environmental factors, this study provides a foundation for informed decision-making in ecological conservation and climate change mitigation efforts within the YREB and similar regions globally. [ABSTRACT FROM AUTHOR]

Boreal forests are often managed to maximize wood production, but other goals, among which climate change mitigation, are increasingly important. Hence, it is necessary to examine synergies and trade-offs between forest production and its potential for carbon sequestration and climate change mitigation in forest stands. To this aim, we develop a novel mass-balanced process-based compartmental model that allows following the carbon path from its photosynthetic fixation until its return to the atmosphere by autotrophic or heterotrophic respiration, or by being burnt as wood product. Following carbon in the system allows to account for how long forest ecosystems and wood products retain carbon away from the atmosphere (i.e., the carbon transit time). As example, we apply the model to four management scenarios, i.e., mixed-aged pine, even-aged pine, even-aged spruce, and even-aged mixed forest, and contrast metrics of performance relative to wood production, carbon sequestration, and climate change mitigation potential. While at the end of an 80 yr rotation the even-aged forests held up to 31% more carbon than the mixed-aged forest, the mixed-aged forest was superior during almost the entire rotation when factoring in the carbon retention time away from the atmosphere, i.e., in terms of climate change mitigation potential. Importantly, scenarios that maximize production or amount of carbon stored in the ecosystems are not necessarily the most beneficial for carbon retention away from the atmosphere. These results underline the importance of considering carbon transit time when evaluating forest management options for potential climate change mitigation. [Display omitted] • We evaluate wood production and climate change mitigation potential of boreal forests. • We combine an ecophysiological growth model with forest inventory tree allometries. • Higher carbon sequestration does not ensure higher climate change mitigation potential. • Potential climate change mitigation depends on carbon time away from the atmosphere. [ABSTRACT FROM AUTHOR]

[Display omitted] • Hedgerows and adjacent croplands at 23 sites across Germany were sampled. • Under hedgerows, 36 ± 49 % more soil organic carbon (SOC) was stored compared to cropland. • 41 % of absolute SOC stock increase was found in subsoil below 30 cm soil depth. • SOC stocks were also increased along the transect from the hedgerow to the cropland. • Planting hedgerows on 3 % of German cropland could increase SOC stocks by 13 Tg C. Carbon dioxide removal strategies are becoming increasingly important as a fundamental component of comprehensive climate policies. One strategy to increase carbon (C) sinks is the integration of hedgerows into agricultural landscapes. Besides additional C storage in above-ground and below-ground hedgerow biomass, the establishment of hedgerows has the potential to increase soil organic carbon (SOC) stocks. However, empirical data regarding the magnitude of SOC accrual with hedgerow establishment are still limited. We sampled 23 sites across Germany in a paired-plot approach with the aim of estimating SOC stock change with hedgerow establishment on cropland. At 21 sites, SOC stocks were higher beneath hedgerows than in the reference cropland. On average, SOC stock accrual was 29 ± 22 Mg ha−1 (36 ± 49 %) in 0–100 cm soil depth. SOC stocks were significantly different in both topsoil and subsoil. Subsoils below 30 cm depth contributed 41 % (12 ± 17 Mg C ha−1) of the total SOC stock change, stressing the importance of subsoil SOC for the total SOC stocks of hedgerow systems. The positive effect of hedgerows on SOC stocks extended laterally beyond the hedgerow area itself. SOC stock in the grassy hedgerow edge also increased significantly by 22 ± 22 Mg C ha−1 (28 ± 30 %) and SOC stock in the cropland directly adjacent to the hedgerow were 9 ± 19 Mg C ha−1 (12 ± 25 %) higher than in the reference cropland. Particularly high C stock differences between hedgerows and reference cropland soils were found in old hedgerows (>200 years) planted on hedgebanks, which are typically found in northern Germany. Our study confirmed that SOC stocks increase with hedgerow establishment on cropland throughout the whole soil profile. If hedgerows were to be established on 3 % of Germany's cropland area, SOC stocks would increase by 13 Tg C equivalent 48 Mio. t CO 2 , highlighting that hedgerows are a promising and multi-functional climate change mitigation option. [ABSTRACT FROM AUTHOR]

Reliable, up-to-date biomass data are needed for climate change mitigation and resource efficiency. Therefore, a calculation and reporting tool with thematic maps and data was developed. A free web-tool, Biomass Atlas, collects the spatial distribution of biomasses in Finland. Over 300 data layers present land use, cultivation, residual biomasses from forest, crop production, animal husbandry, municipalities, and industry at 1 km2 spatial resolution. The service enables calculations of biomass amount in a defined geographical area of interest and examining the opportunities and restrictions to utilise biomasses. The service was evaluated with six test-users in laboratory tests and 20 voluntary pilot test-users. Biomass Atlas shows the regional potential of biomaterials, fertilizer products, and renewable energy, as well as potential targets for utilized, recyclable biomass. Other possible uses include monitoring plant cover on fields and assessing land use diversity. Application enables users with no experience in GIS or biomass assessments to analyse biomass resources, produce maps and data summaries for decision making. [Display omitted] • Biomass Atlas is a spatially explicit web application to assess the biomass data. • Amounts and location of produced and recyclable biomass in Finland. • Forests, agricultural areas, crops and sidestreams on thematic maps. • Biomass modelling and calculation tools are given at 1 km2 spatial resolution. • Data for decision making on biomass utilisation for biomaterials, nutrients, and energy. [ABSTRACT FROM AUTHOR]

This study explores how rising economic costs of climate mitigation policies differentially shape climate policy support among the political left and right. To this end, we randomly manipulate how much consumption costs increase as a result of four different climate mitigation policies and study how different cost scenarios influence policy support among a sample of 1,597 Swedish adults. We find that more costly climate policies induce greater climate policy polarization, since right-leaning participants display both lower baseline and more cost-sensitive climate policy support. In addition, we investigate how policy costs affect participants' concerns about the climatic consequences of consumption. While inconclusive, the results indicate that right-leaning participants, in some instances, display less concern about the climatic consequences of consumption when policy costs rise. This pattern can be understood through the lens of motivated disbelief, which holds that people adjust their beliefs in order to support their preferred actions. The present study provides novel insights as to how and when material conditions influence climate policy preferences. [ABSTRACT FROM AUTHOR]

Tropical coastal wetlands have been well recognized for their role in mitigating climate change apart from possessing high biodiversity values as well as providing important habitats for fisheries and other ecosystem services. Although these wetlands play key roles in sequestering carbon (C) in the lithosphere and hydrosphere, there is a notable dearth of comprehensive yet spatially explicit accounts of their total blue carbon (TBC) stocks. The anthropogenic factors including development stressors have fundamentally altered the global C dynamics. In this respect, holistic accounting of the total C stocks of the coastal wetlands becomes the foremost task in emphasizing their recognition as integral components of climate change mitigation strategies. This study modeled TBC stocks of an intertidal mudflat of eastern India across different land use/ land covers (LULCs) by quantifying the above ground biomass (AGB), below ground biomass (BGB), and soil organic C (SOC). The distribution of SOC was modeled through spatial interpolation of point-specific C densities (R2 = 0.77; RMSE = 22.91 Mg ha−1). AGB was estimated by establishing allometric relationships between geospatial data, both of active (PALSAR-2) and passive (Pleiades-1B) nature and in-situ dendrometric variables using the artificial neural network (R2 = 0.85; RMSE = 48.91 Mg ha−1). BGB was estimated from the modeled AGB. Spatial integration of these datasets estimated the TBC stock of mudflat as 27,469.30 Mg. Overall, open mangrove represented highest mean TBC density (163.29 Mg ha−1) while herbaceous vegetation recorded largest TBC stock (9818.94 Mg). Mean TBC densities across LULCs were significantly different (p < 0.05) from each other except for the herbaceous vegetation and built-up categories, indicating the inertial effects of paleo-land covers. Accordingly, this study could be inferred as a pioneering one in developing a comprehensive geospatial model of TBC accounting in India towards strengthening the regional and national C inventories. [Display omitted] • Total blue C stocks of an intertidal mudflat including AGB, BGB and SOC estimated • Applying destructive/non-destructive sampling, elemental analysis and RS datasets • Coupling of fine resolution multispectral and SAR datasets through ANN • Effects of land use/land cover patterns on blue C dynamics assessed [ABSTRACT FROM AUTHOR]

Aiming to mitigate negative impacts of climate change, climate adaptation policy and practice increasingly engages with nuanced and differentiated impacts of climate change. Existing adaptation approaches and research informing them largely focus on outcomes of climactic events, but lack consideration of power structures shaping these phenomena and experiences of them. From a feminist peace perspective, I posit that tackling intersectional violences of climate change necessitates greater engagement with underlying knowledge. This paper explores how ways of knowing climate change impact ways of living with it: analyzing the ground on which climate action interventions stand and the paths on which they set us. I theorize 'climate transformation' as processual shifts in ways of knowing a problem and solution toward norms of a feminist peace. Theory is developed abductively, based on original fieldwork in Puerto Rico and drawing on conflict transformation theory and elaborating knowledge production through feminist ethics of care. The model developed here enables analyzing orientations of current situations and change processes in relation to desirable futures. I find that actors involved in peace work and climate action in Puerto Rico foster transformation based on: caring in current relations and experience; caring through change processes affectively and reciprocally; and caring for a vision of the future through prefigurative and historicized imagination. The framework advances academic study and policy development on transformative climate action for tackling historic and intersectional violences to influence and enact particular visions of peace. • Peace necessitates engaging with underlying knowledge of climate change. • The climate transformation model theorizes knowledge via feminist ethics of care. • Puerto Ricans foster transformation by caring in current relations and experience. • They care through change processes affectively and reciprocally; • Futures envisioned are cared for with prefigurative and historicized imagination. [ABSTRACT FROM AUTHOR]

All modelled global mitigation pathways assessed by the Intergovernmental Panel on Climate Change Sixth Assessment Report (IPCC AR6) project rapid deployment of land-based mitigation measures for staying within the remaining carbon budget for 1.5°C or 2 °C. However, there is sparse literature on the burden-sharing and equity implications of the IPCC-assessed global mitigation pathways. This is a severe lacuna given the influential role of the IPCC assessments in shaping political deliberations about possible futures and in informing the sectoral guidance and strategy documents of multilateral climate funds and organisations. This paper addresses this gap by evaluating the distributional implications of IPCC AR6 global mitigation pathways for land-based mitigation, specifically focusing on the Global North and South and socio-economic and political implications for food security. Our findings reveal that the modelled pathways disproportionately distribute the burden of land-based mitigation onto the Global South with an adverse impact on food security, raising questions about the normative choices embedded in cost-optimizing Integrated Assessment Models (IAMs). Furthermore, we examine existing scenarios and policy recommendations for addressing food security concerns in stringent climate change mitigation pathways and find them both to be inequitable with attendant feasibility concerns. Our analysis underscores the need for equity-based scenarios in IPCC assessments and calls for transparency in communicating regional distributional assumptions and results of the global mitigation pathways. • IPCC AR6 global mitigation pathways emphasise the rapid deployment of land-based measures to meet 1.5°C or 2°C targets. • Analysis of mitigation pathways reveals a disproportionate burden on the Global South, affecting food security. • Modelled pathways raise questions about normative choices in cost-optimizing Integrated Assessment Models (IAMs). • Alternative scenarios and policy recommendations for food security in 1.5°C or 2°C pathways are also inequitable. • Need for equity-based scenarios and transparently communicating regional distributional assumptions and implications. [ABSTRACT FROM AUTHOR]

• A CGE model elaborately depicting six CCS technologies was developed. • Impacts of four CCS incentive scenarios on decarbonization pathways were simulated. • CCS can sequester 960 ∼ 1,604 MtCO 2 annually in China by 2060 with policy incentives. • CCS incentives can reduce China's future primary energy demand by 7.7 ∼ 17.4 %. • CCS incentives can increase GDP by 5.64 ∼ 6.59 % compared to no policy scenario. Carbon capture and storage (CCS) technology, considered as a pivotal tool in mitigating climate change within the fossil energy system, particularly in China, has experienced slower development than expected. The exploration of direct incentive policies to facilitate its growth remains relatively underdeveloped. This study developed a hybrid dynamic computable general equilibrium (CGE) model to simulate the substantial impacts of CCS incentive policies on China within the context of carbon neutrality target. Two potential incentive policies, carbon emission trading system (ETS) and 45Q tax credit, were simulated, with different sectoral coverage. The results indicate that CCS technologies can reduce carbon emissions by 960 ∼ 1,604 MtCO 2 annually by 2060 through the strategic implementation of these incentive policies. The 45Q tax credit demonstrates its effectiveness in promoting early-stage research and development (R&D) and demonstration of CCS, while the ETS policy facilitates the commercial development of CCS in the later stage of development. By 2060, the implementation of CCS incentive policies could potentially result in 7.7 ∼ 17.4 % reduction in China's primary energy consumption, 71.2 ∼ 82.7 % decrease in the carbon price of ETS and 5.64 ∼ 6.59 % increase in the GDP compared with the no-policy scenario. In addition, the sectoral output in various sectors and the welfare of urban and rural households also increase. This paper provides an important reference for the realization of China's carbon neutrality goal and the model framework can be applied to other countries. [ABSTRACT FROM AUTHOR]

[Display omitted] • The pandemic did not halt, nor slow down climate change. • Africa faces challenges in financing climate action. • COVID-19 drained resources and attention for climate action. • Africa will be less sustainable and resilient post-COVID-19. • Approaches used to address COVID-19 should be adopted for climate change. This study assesses the potential for establishing a sustainable and climate-resilient African economy, post-COVID-19, focusing on Kenya, South Africa, Rwanda, and Zimbabwe. Utilising the United Nation's Climate-Positive Action Framework, document analysis, and a systematic literature review, it examines these nations' investment in climate action. Findings reveal a decrease in climate funding during the pandemic, with notable gaps in climate finance, including reallocations away from climate-related ministries and delays in project implementation. This decline in climate action poses risks to sustainability and climate resilience. To mitigate these risks, the study emphasizes the need for frameworks to mobilize external and domestic resources for climate action. Despite ongoing challenges posed by COVID-19, proactive measures are essential to maintain focus on climate action. [ABSTRACT FROM AUTHOR]

Climate change is driving the need for new approaches to energy production and utilization globally, contributing to the mitigation of greenhouse gas (GHG) emissions. Low-emission hydrogen is recognized as a key energy vector for decarbonization, and numerous countries are currently evaluating strategies and roadmaps for its integration. Colombia, with its abundant renewable resources, is poised as a potential player in hydrogen production. This study presents a techno-economic assessment of hydrogen pathways and their cross-sectoral interactions within the Colombian energy system. By employing an open energy system optimization framework (OSeMOSYS), we modelled a detailed supply-demand hydrogen chain and analysed a series of scenarios from 2021 to 2050, including a sensitivity analysis. Our results show that hydrogen pathways will require 2–6.4 Mt/year in hydrogen production, 8–27 GW in new installed capacity, and US$50–80 billion in investments, with favourable impacts in GHG mitigation, energy imports, and socioeconomic benefits. We use these findings to suggest an update to the targets of the current National Hydrogen Roadmap focused on a higher ambition to deploy a full hydrogen economy. Our open methodology provides a valuable tool for conducting further assessments in developing countries interested in defining low-emission hydrogen roadmaps. • The hydrogen supply-demand chain is described and modelled. • SMR and biomass gasification with CCS complement electrolysis to produce low-emission hydrogen. • Transport, industry, and exports are the sectors with higher potential for end-use of hydrogen. • Open data and modelling can support the assessment and update of national hydrogen roadmaps. [ABSTRACT FROM AUTHOR]

Nudge-based decarbonization policies possess significant potential to foster low-carbon lifestyles and contribute to the mitigation of climate change. However, securing public support for such policies is a complex endeavor. The pivotal role of policy narratives in molding public perceptions and garnering support underscores the necessity for a strategic approach in the crafting and deployment of these narratives to strengthen public endorsement of nudge-based decarbonization strategies. This study examines the influence of victim framing on the potency of policy narratives to bolster public support for nudge-based decarbonization policies. The study elucidates that narratives portraying climate change victims as humans rather than wildlife more effectively bolster support for policies. Furthermore, policy narratives featuring a lesser number of victims prove more efficacious in augmenting support for these policies. Moreover, the relationship between the number of victims and the narrative's impact on policy support transitions from negative to positive in the context of high narrativity. These disparities in narrative effectiveness can be attributed to their varying abilities to evoke compassion. These insights offer valuable guidance for enhancing public support for nudge-based decarbonization policies, highlighting the strategic use of policy narrative as a key tool in policy promotion. • Policy narratives portraying climate change victims as humans rather than wildlife more effectively bolster public support for nudge-based decarbonization policies. • Policy narratives featuring a lesser number of victims prove more efficacious in augmenting public support for these policies. • In the context of high narrativity, the relationship between the number of victims and the policy narrative's impact on public support for these policies transitions from negative to positive. [ABSTRACT FROM AUTHOR]

Climate aid is a form of official development assistance that addresses climate change mitigation and adaptation and plays a crucial role in combating climate change. However, existing empirical evidence does not suggest a clear link between climate aid and carbon lock-in. Based on country-level panel data from 77 countries spanning the period 2002–2020, this paper empirically examines the impact of climate aid on carbon lock-in and the four sub-indicators of carbon lock-in. Moreover, we investigate the mediating role of technological progress and potential impact mechanisms. We find that (1) climate aid has a significant restraining effect on carbon lock-in, and is an effective means of inhibiting the four aspects of carbon lock-in, namely, the lock-in of industry, institution, technology, and social behavior. (2) Technological progress not only directly leads to carbon lock-in eradication, but also synergizes with climate aid, suggesting that the combined influence of technological progress and climate aid can enhance the efficacy of efforts to mitigate carbon lock-in. (3) Climate aid promotes carbon lock-in mitigation by accelerating energy structure transition and industrial structure transition, which are two internal impact mechanisms in the nexus between climate aid and carbon lock-in. These findings offer concrete and practical policy implications to facilitate the development of climate aid and carbon lock-in eradication. • This paper estimates the impact of climate aid on carbon lock-in. • Climate aid significantly mitigates carbon lock-in and its four dimensions. • Technological progress can further strengthen the inhibiting effect of climate aid on carbon lock-in. • Climate aid indirectly affects carbon lock-in by promoting energy structure transition and industry structure transition. [ABSTRACT FROM AUTHOR]

The renewal of old bridges is sometimes restricted to avoid the high carbon emissions caused by materials and construction, which however might not be conductive to climate change mitigation due to their insufficient functions. In order to facilitate the optimization of renewal timing and strategy from the perspective of reducing the comprehensive global warming impacts, we put forward the low-carbon bridge renewal decision method referring to the ideas of consequential life cycle assessment (LCA) and dynamic LCA. In the proposed method, a comparative system boundary matching the bridge renewal characteristics is constructed, where the carbon emission reduction owing to the traffic efficiency improvement by functional updating is incorporated as the low-carbon benefits of renewal, and three types of time-dependent factors, i.e., time-dependent characterization factor, trend factors and changes of traffic demands, are introduced to characterize the influence of renewal timing. The proposed method provided guidance for the renewal of Maogang Bridge, the first long-span cable-stayed bridge in Shanghai. Results illustrate that the global warming impacts of renewal construction activities and the low-carbon benefits from functional updating decrease with the renewal timing. For Maogang Bridge, the rapidly increasing traffic demands inevitably advocated renewal in advance, and the reduction of global warming impacts from emission reduction or carbon uptake could be manifested for renewal in advance. Adopting material recycling in the disposal of old bridge helped reconstructing a new bridge while deconstructing the old one in 2019 becoming the finally selected low-carbon renewal strategy, which is expected to reduce 15.04 kt CO 2 e-2019 compared to the essential renewal in 2050 with the landfill disposal method. The robustness of the strategy choice has been justified, given the variations of analytical time horizon, expected emission trends and repair emissions. In this way, the low-carbon renewal decision method could build a quantitative basis for judging the urgency of functional updating and verifying the low-carbon benefits of immediate concrete recycling in up-coming urban renewals. • Low-carbon bridge renewal decision optimizes renewal timing and strategy. • System boundary is expanded for quantifying benefits from functional updating. • Emission trends and time-dependent characterization factors are explored. [ABSTRACT FROM AUTHOR]

• The nexus between forest-based climate mitigation and health is poorly researched. • This scoping review identified exposure pathways and health co-benefits from forests. • There is potential for synergies between forest management and health benefits. • Interdisciplinary efforts are required for advancement of research and understanding. Climate change is a pressing global challenge with profound implications for human health. Forest-based climate change mitigation strategies, such as afforestation, reforestation, and sustainable forest management, offer promising solutions to mitigate climate change and simultaneously yield substantial co-benefits for human health. The objective of this scoping review was to examine research trends related to the interdisciplinary nexus between forests as carbon sinks and human health co-benefits. We developed a conceptual framework model, supporting the inclusion of exposure pathways, such as recreational opportunities or aesthetic experiences, in the co-benefit context. We used a scoping review methodology to identify the proportion of European research on forest-based mitigation strategies that acknowledge the interconnection between mitigation strategies and human impacts. We also aimed to assess whether synergies and trade-offs between forest-based carbon sink capacity and human co-benefits has been analysed and quantified. From the initial 4,062 records retrieved, 349 reports analysed European forest management principles and factors related to climate change mitigation capacity. Of those, 97 studies acknowledged human co-benefits and 13 studies quantified the impacts on exposure pathways or health co-benefits and were included for full review. Our analysis demonstrates that there is potential for synergies related to optimising carbon sink capacity together with human co-benefits, but there is currently a lack of holistic research approaches assessing these interrelationships. We suggest enhanced interdisciplinary efforts, using for example multideterminant modelling approaches, to advance evidence and understanding of the forest and health nexus in the context of climate change mitigation. [ABSTRACT FROM AUTHOR]

The ever-increasing challenges related to water security and climate mitigation underscore the pressing need for forward-thinking systems planning tools to drive urban sustainability transitions. In this study, we propose a novel city-level multi-objective planning framework that explores the nexus between carbon trading and water management, with the aim of facilitating water-efficient urban industrial restructuring. The framework integrates cap-and-trade mechanisms into a two-layered optimization model, creating an integrated approach to optimizing carbon emissions and generating economic opportunities for improving water efficiency. To illustrate the potential application of this framework, we conducted a case study focusing on Dongguan City, a water-stressed industrial metropolis in southern China. The results illustrate potential synergies between water planning strategies and carbon trading schemes, which could be harnessed to enable targeted reductions in water usage and carbon emissions. Furthermore, our findings identify the textile, apparel, and paper products manufacturing industries as primary candidates for strategic production scale reduction, emphasizing the importance of sustained support for the development of the computer and electronic manufacturing sector as a catalyst for urban sustainability transitions. By pioneering this new nexus-based perspective, our study offers valuable insights into long-term strategic planning for a low-carbon and resource-efficient urban economy. • Synergizing carbon trading and water management within a novel integrated planning framework. • Implementing resource-efficiency-driven optimization for water- and carbon-intensive manufacturing sectors. • Gaining insights into the specific roles of key manufacturing sectors in water management and carbon trading. • Introducing carbon trading systems may help in promoting water-efficient industrial restructuring. [Display omitted] [ABSTRACT FROM AUTHOR]