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Stabilizing climate requires reducing greenhouse gas (GHG) emissions and storing atmospheric carbon dioxide (CO2) in land or ocean systems. Soil management practices can reduce GHG emissions or sequester atmospheric CO2 into inorganic and organic forms. However, whether soil carbon strategies represent a viable and impactful climate mitigation pathway is uncertain. A specific question concerns the role that land-management practices and soil amendments can play in realizing California’s ambition for carbon neutrality by 2045. Here we examine the carbon flux impacts of soil conservation (i.e., compost, reduced tillage, cover crop) and enhanced silicate rock weathering (EW) practices at different areal extents of implementation in cropland, grassland, and savanna in California under two climate change cases. We show that with implementation areas of 15% or 50% of private cultivated land, grassland, and savanna in California, soil conservation practices alone can contribute 1.4 0.7 2.1 % ( − 1.8 − 0.9 − 2.7 Mt CO2eq y−1) and 4.6 2.3 6.9 % ( − 6.0 − 3.0 − 8.9 Mt CO2eq y−1) of the additional emissions reduction needed (beyond previous targets) to meet the 2045 net neutrality goal (−129.3 Mt CO2eq y−1), respectively, on an average annual basis, including climate uncertainty. Including EW in these scenarios increases the total contributions of management practices to 4.1 2.5 5.6 % ( − 5.2 − 3.2 − 7.3 Mt CO2eq y−1) and 13.5 8.2 18.6 % ( − 17.5 − 10.7 − 24.2 Mt CO2eq y−1), respectively, of this reduction. This highlights that the extent of implementation area is a major factor in determining benefits and that EW has the potential to make a real contribution to net reduction targets. Results are similar across climate cases, indicating that contemporary field data can be used to make future projections. With EW there remains mechanistic uncertainties, however, such as rock dissolution rate and environmental controls on weathering products, which require additional field research to improve understanding of the technological efficacy of this approach for California’s 2045 carbon neutrality goal.

Contemporary resource management is doubly burdened by high rates of organic material disposal in landfills, generating potent greenhouse gases (GHG), and globally degraded soils, which threaten future food security. Expansion of composting can provide a resilient alternative, by avoiding landfill GHG emissions, returning valuable nutrients to the soil to ensure continued agricultural production, and sequestering carbon while supporting local communities. Recognizing this opportunity, California has set ambitious organics diversion targets in the Short-Lived Climate Pollutant Law (SB1383) which will require significant increases (5 to 8 million tonnes per year) in organic material processing capacity. This paper develops a spatial optimization model to consider how to handle this flow of additional material while achieving myriad social and ecological benefits through compost production. We consider community-based and on-farm facilities alongside centralized, large-scale infrastructure to explore decentralized and diversified alternative futures of composting infrastructure in the state of California. We find using a diversity of facilities would provide opportunity for cost savings while achieving significant emissions reductions of approximately 3.4 ± 1 MMT CO2e and demonstrate that it is possible to incorporate community protection into compost infrastructure planning while meeting economic and environmental objectives.

Renewable power generation is the key to decarbonizing the electricity system. Wind power is the fastest-growing renewable source of electricity in the United States. However, expanding wind capacity often faces local opposition, partly due to a perceived visual disamenity from large wind turbines. Here, we provide a US-wide assessment of the externality costs of wind power generation through the visibility impact on property values. To this end, we create a database on wind turbine visibility, combining information on the site and height of each utility-scale turbine having fed power into the U.S. grid, with a high-resolution elevation map to account for the underlying topography of the landscape. Building on hedonic valuation theory, we statistically estimate the impact of wind turbine visibility on home values, informed by data from the majority of home sales in the United States since 1997. We find that on average, wind turbine visibility negatively affects home values in an economically and statistically significant way in close proximity ([Formula: see text]5 miles/8 km). However, the effect diminishes over time and in distance and is indistinguishable from zero for larger distances and toward the end of our sample.

In the Sacramento–San Joaquin Delta (Delta), widespread drainage of historical wetlands has led to extensive subsidence and peat carbon losses, as well as high ongoing greenhouse gas (GHG) emissions. Large-scale wetland restoration and conversion to rice fields has the potential to mitigate these effects while conferring flood protection and creating habitat for wetland species. To explore the scale of these potential benefits, this study evaluated the effects of seven Delta-wide land-use scenarios on carbon stocks, land-surface elevation, GHG emissions, and habitat. Peat mapping and data from peat cores indicate that soil carbon stocks have decreased between the early 1800s and 2010s from 288 ± 15 to 145 ± 14 million metric tons (Mt) of carbon (C). If existing land uses continue, the Delta could lose an additional 8.3 Mt C during the coming 40 years, equal to average GHG emissions of 1.2 Mt CO2 equivalents (CO2e) yr-1. Future restoration and rice-farming scenarios indicate that wetland restoration could theoretically halt GHG emissions, converting the Delta from a large GHG source to a weak net source or sink. Across three future scenarios based on existing restoration targets, wetland creation and conversion to rice fields reduced GHG emissions by 0.39 to 0.67 Mt CO2e yr-1, with per-area benefits of 16 to 28 t CO2e per hectare (ha) yr-1. Differences among scenarios in extents of wetland types influenced their relative benefits for different management goals. Tidal restoration and conversion to rice fields enhanced habitat benefits and offered a source of agricultural income, but with reduced GHG mitigation compared with conversion to peat-building wetlands. This highlights the importance of clear objectives when developing land-use plans. A strategic land-management portfolio that includes rice fields and both impounded and tidal wetlands could be designed to provide GHG and subsidence mitigation while offering a diverse suite of benefits for ecosystems and people.

Most people in rural sub-Saharan Africa lack access to electricity and rely on traditional, inefficient, and polluting cooking solutions that have adverse impacts on both human health and the environment. Here, we propose a novel integrated agroforestry-bioenergy system that combines sustainable biomass production in sequential agroforestry systems with biomass-based cleaner cooking solutions and rural electricity production in small-scale combined heat and power plants and estimate the biophysical system outcomes. Despite conservative assumptions, we demonstrate that on-farm biomass production can cover the household's fuelwood demand for cooking and still generate a surplus of woody biomass for electricity production via gasification. Agroforestry and biochar soil amendments should increase agricultural productivity and food security. In addition to enhanced energy security, the proposed system should also contribute to improving cooking conditions and health, enhancing soil fertility and food security, climate change mitigation, gender equality, and rural poverty reduction. [ABSTRACT FROM AUTHOR]

Sustainable livestock management plays a crucial role in food production, climate change mitigation, and cultural preservation. Our study aimed to identify and analyse the diversity of social–ecological conditions that characterize extensive livestock systems in southern Patagonia. We integrated data collected from interviews and secondary sources and analysed data using hierarchical cluster analysis and non-metric multidimensional scaling to identify distinct ranching types. A qualitative analysis of key informant interviews identified key social–ecological changes for each type. The results emphasize the impact of administration, production, and biophysical factors on shaping different livestock ranching schemes. Further, we identified three significant social–ecological changes driving the dynamics of these systems, including shifts from (1) sheep to cattle ranching, (2) domestic to feral cattle ranching, and (3) landowners to tenant land managers. These findings have implications for policymakers seeking to develop strategies tailored to diverse realities, ensuring the sustainability of livestock systems in Tierra del Fuego. [ABSTRACT FROM AUTHOR]

BACKGROUND AND OBJECTIVES: Understanding and implementing strategies to adapt to climate change is essential for maintaining the livelihoods and well-being of the human population. In Colombia, interest in climate change is increasing, reflected in growing attention towards adaptation and mitigation strategies. There is a lack of detailed research on this subject, especially in ecologically significant areas like the La Mojana region. The objective of this study was to evaluate the perception of different focus population groups such as fishermen, farmers and ranchers on climate change, regional adaptation strategies and implementation of public policies in the La Mojana Region of Northern Colombia, which is highly vulnerable to extreme climate phenomena. A bibliometric analysis was conducted to assess the dynamics of scientific production at both national and global levels, focusing on the perception and adaptation policies related to climate change. METHODS: Data collection for this study involved conducting semi-structured questionnaire interviews with 420 participants from the fishing, agriculture, and livestock sectors. The aim was to gain insights into their perspectives on climate change risks and the mitigation measures they have implemented. A bibliometric analysis using the SCOPUS scientific database was conducted to explore global and Latin American publication trends related to climate change perception and adaptation policies, with a particular focus on Colombia. This analysis emphasizes the latest trends in research and the scholarly influence in the areas of climate change, public policies, and strategies for adaptation. FINDINGS: The findings indicated that all participants observed changes in climate patterns over the past two decades, specifically in terms of irregular rainfall patterns and disruptions in traditional sowing and harvesting cycles that were once considered predictable. Focus groups' perception aligned with historical meteorological data on flood and La Niña phenomena. Priorities for government intervention include response to early emergencies, community participation, and stakeholder collaboration in future planning. Various strategies for adaptation were implemented, such as the management of communities, conservation of ecosystems, construction of resilient housing and livestock management, sustainable water management, and diversification of crops. Colombia ranks third in Latin America for scientific production on climate change perception and adaptation policies, with political context and international compliance key factors. CONCLUSION: The study highlights how climate change affects psychological well-being through social and economic insecurity, exacerbated by the local government's lack of intervention to mitigate the vulnerability of focal groups and strengthen their adaptation and resilience capacities against climate change Colombia's significant contribution to regional scientific production on climate change perception highlights the pressing requirement for further research to explore these issues and improve adaptation strategies in the area. [ABSTRACT FROM AUTHOR]

BACKGROUND AND OBJECTIVES: Efforts to enhance carbon stocks and boost carbon absorption potential are essential for climate change mitigation. Peatland ecosystems, known for their high organic content, are particularly vulnerable to environmental management. The study aimed to examine the alterations in land use and land cover that occurred between 1998 and 2022, spanning a 24-year duration. Additionally, it sought to assess the associated variations in carbon stocks within the designated Kepau Jaya specific purpose forest area. The area under investigation encompasses a peatland ecosystem that has experienced substantial changes in land cover and land use. This study investigated the fluctuations in carbon stock caused by these alterations and provides valuable perspectives on the potential of agroforestry systems to promote a wider range of land uses. Additionally, it highlights their role in ecosystem restoration initiatives and the better management of forest peatland regions. METHODS: A spatial analysis was conducted on Landsat 5 and 8 satellite images by using shapefile data stored within the Google Earth Engine platform. Data analysis was carried out using Classification and Regression Tree, a decision tree algorithm used in machine learning for guided classification. Furthermore, purposive sampling was utilized to gather socioeconomic data, followed by the implementation of a benefit-cost analysis. FINDINGS: The results revealed significant changes in the land cover within the Kepau Jaya specific purpose forest area over a 24-year period, with forested areas and open areas decreasing by 23.15 hectares per year and 16.94 hectares per year respectively, and oil palm plantation areas expanding by 40.10 hectares per year. From 1998 to 2022, there has been a consistent annual decline in carbon stocks, resulting in a reduction of 1,933.11 tons of carbon per year. The changes in land use and cover are closely linked to this decline. In an effort to increase plant species diversity in the area and support the gradual transition away from monoculture, a participatory agroforestry scheme was implemented by intercropping Coffea liberica and Shorea balangeran between oil palm rows in a 2-hectare oil palm plantation block within the agroforestry demonstration plot. According to measurements taken at breast height, the aboveground biomass of these species was measured, leading to projected estimates of carbon stocks in Kepau Jaya specific purpose forest area reaching 19,455 tonnes of carbon by the year 2030, with Coffea liberica contributing 4,148 tonnes carbon and Shorea balangeran contributing 15,307 tonnes carbon. CONCLUSION: The study area experienced a substantial reduction in forest cover, whereas the extent of oil palm areas expanded significantly. The findings underscore the need for proactive measures to strengthen the governance of specific-purpose forest areas through community empowerment and the establishment of demonstration plots to promote agroforestry development. The results of this study provide insights for long-term forest rehabilitation strategies aimed at fostering sustainable forest management that yields environmental and socio-economic benefits in the long run. [ABSTRACT FROM AUTHOR]

As governments and multilateral institutions launch projects and programs to support climate change mitigation and adaptation, the challenge lies in determining their effectiveness. The high complexity of climate-change programs often makes it difficult to determine their effectiveness through standard monitoring and evaluation procedures. ‘complexity-aware monitoring’ is a qualitative approach to monitoring, recently introduced by international development programs. This increasing awareness of complexity in the evaluation sector opens up a window of opportunity for complexity science to support climate change mitigation and adaptation programs. This paper’s contribution is a hands-on methodology for live monitoring and evaluation of development programs. The methodology is rooted in existing literature on social–ecological systems, as pioneered by Ostrom, and in quantitative methods from complexity science. To illustrate the methodology, an existing climate mitigation project in Madagascar, funded, monitored and evaluated by the Green Climate Fund, is discussed. [ABSTRACT FROM AUTHOR]

Biochar, produced from the thermochemical conversion of biomass waste, has various applications owing to its broad utility and advantageous properties. This study employs a scientometric approach to comprehensively assess the advancements in biochar application from 2022 to 2023. Utilizing 13,357 bibliographic records sourced from the Web of Science Core Collection with the search term "biochar", the analysis focuses on authorship, national contributions, and keyword trends. Findings demonstrate a continual rise in annual publications since 2009, albeit with a moderated growth rate in 2023. China leads in publication outputs, followed by USA and India, with Hailong Wang emerging as a prominent figure in biochar research. Keyword co-occurrence analyses identify key research themes such as biochar's role in climate change mitigation, easing salinity and drought stress, immobilizing toxic metals, degrading organic pollutants, serving as additives in anaerobic digestion, and functioning as electrodes in microbial fuel cells. Among these, biochar's application for global climate change mitigation gains significant attention, while its utilization as electrodes in microbial fuel cells emerges as a promising research frontier, indicating the growing need for sustainable energy sources. The study also outlines critical research gaps and future priorities for enhancing biochar application. Overall, it highlights the diverse applicability of biochar and offers valuable insight into research progression and forthcoming directions in biochar studies. Highlights: Utilization of bibliometric review for keyword analysis. Examination of recent developments in biochar application. The emerging focus on biochar's effectiveness as electrodes in microbial fuel cells (MFCs). Suggested future research directions and priorities for sustainable biochar application. [ABSTRACT FROM AUTHOR]

In response to biodiversity declines worldwide, over 190 nations committed to protect 30% of their lands and waters by 2030 (hereafter, 30×30). Systematic conservation planning and return on investment analysis can be helpful tools for determining where protection efforts could deliver the most efficient and effective reserve design, and supporting decision‐making when trade‐offs among objectives are required. Here, we propose a framework for efficient “30×30” implementation and apply it to the state of California (USA). Because conservation of a region's full suite of biodiversity is the primary objective of the global initiative, we prioritized representation in our analysis. We used Zonation to identify networks that close the gap in representation of major habitat types in California's protected area network and that also conserve the places important for biodiversity or climate change mitigation. We identified networks that are efficient relative to metrics likely to be important in implementation including land acquisition cost, number of transactions, and conservation benefit per hectare, and we illustrate not only trade‐offs associated with these metrics but also differences in the co‐benefits achieved. Five of the eight major habitat types in California are not currently protected at a 30% level statewide, and if representation was achieved solely through private land acquisition, targets could be met for as little as $5.84 billion, with as few as 364 transactions, or with 2.18 million additional conserved hectares. Implementation of 30×30 will likely require more flexibility than a single network design. A “no regrets” action would be to protect properties that were prioritized across all networks and additional implementation should include properties with characteristics of any of the individual networks. Our analytical framework and implementation guidance can be applied to other geographies and jurisdictions to increase the likelihood of both meeting 30×30 targets and delivering the conservation benefits they aim to secure. [ABSTRACT FROM AUTHOR]

Climate change presents a substantial global threat to human health and wellbeing. Planetary health, an emerging field, provides a comprehensive framework to comprehend the intricate interplay between ecological stability, human health, and ecosystems, particularly within the context of climate change. This study investigates the planetary health perspective on climate change by exploring global knowledge. The Scopus database is used as the source of data. The analysis encompassed a performance evaluation aimed at scrutinizing both quantitative and qualitative indicators. Visualization techniques utilizing VOSviewer software were deployed to analyze collaboration patterns, co-citation links among prominent knowledge-sharing platforms, and key topics derived from keyword co-occurrence matrices. Additionally, using SciMAT software, the study conducted thematic evolution and intellectual analyses to identify both driving and emerging themes, while also examining coherence among different themes across various periods. The study also explores policy implications, and the relevance of COVID-19 in the context of planetary health and climate change. Through this analysis, 261 relevant publications are identified, with the United States being the leading contributor (90 documents; 34.5% of publications). At the institutional level, the Australian National University secured the top position, representing 4.6% of the total with 12 documents. The Lancet Planetary Health journal was the most prolific source, contributing 15 documents (5.7%). In terms of impact, The Lancet journal held a central position as the most cited source. The primary funding organization was the Wellcome Trust, based in the United Kingdom. Motor themes shaping the future of this field include vector-borne diseases, human demographics, informal settlements, air pollution, carbon footprint of animal-based foods, and pro-environmental attitudes and behaviors. The study underscores the significance of leveraging the momentum surrounding infectious diseases like COVID-19 and the impacts of climate change to advance planetary health concepts. Integration of the social sciences and enhanced multidisciplinary cooperation are crucial for progress. Additionally, increased funding for developing countries, and legislative empowerment are essential to foster further research. Article Highlights: Planetary health and climate change global knowledge is analyzed using performance analysis and visualization mapping. Stimulating collaboration to advance the principles of planetary health is fundamental for effectively combating climate change. Managing the socioeconomic determinants of equity and health deserves to be the top priority of climate change initiatives. [ABSTRACT FROM AUTHOR]

In this work, we advocate agroforestry as a sustainable agricultural method that leverages biodiversity and ecosystem services, simultaneously tackling the problems of adaptation and mitigation to climate change, and of land restoration for sustainable agriculture across scales. While the rise of industrial agriculture has been instrumental in addressing the food demands of an expanding global population, enhancing food quality, yield, productivity, and efficiency, we must now reckon with the consequences. This advancement, which prioritizes simplification, specialization, and external inputs, has escalated detrimental externalities including deforestation, biodiversity loss, soil degradation, pollution, and an increase in greenhouse gases, contributing significantly to global warming and to exacerbated environmental crises. These demand urgent attention. In response, various agricultural methodologies such as organic, biodynamic, ecological, and biological farming have emerged, attempting to propose alternatives. However, these methods have yet to significantly alter the trajectory of mainstream agriculture. For over two decades, we have devoted our efforts to developing and refining a multispecies integrated agroforestry system for the sustainable cultivation of Ilex paraguariensis, "yerba mate," in the subtropical north-east of Argentina. With "integrated" we mean that the trees are planted within the I. paraguariensis distribution, not between alleys as in "alley cropping" or "hedgrow intercropping." The experimental work we present here was designed and implemented to enable data comparisons across consociations of multiple species of trees, at a relevant experimental scale. We achieve soil preservation and restoration, productivity comparable to or exceeding monocultures, and a significant increase in resiliency, particularly evidenced during the extreme climate events of spring and summer 2021 and 2022. These results underscore agroforestry's potential for climate change mitigation and adaptation. [ABSTRACT FROM AUTHOR]

This study takes a unique approach to analyzing the sustainability and climate planning in major Hungarian cities. It conducts a qualitative analysis, examining the selected cities' sustainability and climate strategy objectives/goals. The aim is to comprehensively assess the extent of harmony between these objectives and identify potential hindering factors. An impact series with six distinct levels (+ + , + , 0, NR, −, –) was established for this analysis, from which positive (+ + , +), neutral (0, NR), and negative (−,–) categories were formulated. The main result of the study presents the efficiency score of the sustainability and climate goals, in which only the ratio of the positive impacts are covered. The findings reveal that the impacts of sustainability objectives show significant differences among the cities, particularly concerning positive and neutral effects. However, climate objectives present a more modest discrepancy regarding positive, neutral, and negative effects observed among the cities. There was no clear regional pattern in terms of sustainability and climate planning efficiency; on the other hand, Budapest, Győr, and Nyíregyháza emerged with outstanding performances. [ABSTRACT FROM AUTHOR]

Moso bamboo (Phyllostachys edulis), an ecologically and economically important forest species in East Asia, plays vital roles in carbon sequestration and climate change mitigation. However, intensifying climate change threatens moso bamboo survival. Here we generate high-quality haplotype-based pangenome assemblies for 16 representative moso bamboo accessions and integrated these assemblies with 427 previously resequenced accessions. Characterization of the haplotype-based pangenome reveals extensive genetic variation, predominantly between haplotypes rather than within accessions. Many genes with allele-specific expression patterns are implicated in climate responses. Integrating spatiotemporal climate data reveals more than 1050 variations associated with pivotal climate factors, including temperature and precipitation. Climate-associated variations enable the prediction of increased genetic risk across the northern and western regions of China under future emissions scenarios, underscoring the threats posed by rising temperatures. Our integrated haplotype-based pangenome elucidates moso bamboo's local climate adaptation mechanisms and provides critical genomic resources for addressing intensifying climate pressures on this essential bamboo. More broadly, this study demonstrates the power of long-read sequencing in dissecting adaptive traits in climate-sensitive species, advancing evolutionary knowledge to support conservation. Moso bamboo is a critical species for carbon sequestration and mitigating climate change. This study presents a haplotype-based pangenome that uncovers substantial genetic diversity associated with climate adaptation and enables predictions of genetic vulnerability under future emission scenarios. [ABSTRACT FROM AUTHOR]

Agriculture is a significant contributor to anthropogenic global warming. In recent years, agricultural greenhouse gas (GHG) emissions in China, which is the largest emitter, has been decreasing. In order to identify whether or not Chinese agricultural development has affected GHG emission, we used the logarithmic mean Divisia index (LMDI) factor decomposition model to study the effect of productivity factors on GHG emission and their characteristics in four phases of Chinese agricultural development. The results indicate that land productivity is the most significantly promotion factor which contributes 1.12 Gt CO2e GHG emission growth. On the contrary, technological input intensity exerts an obvious mitigating effect with 1.57 Gt CO2e GHG emission reduction. The effects of productivity factors on GHG emission differ between household-based farming systems and large-scale management systems. A more nuanced perspective on the significant role of agricultural large-scale management in GHG emission could aid climate change mitigation. [ABSTRACT FROM AUTHOR]

Societal Impact Statement Summary Genebanks contribute to global food security, directly influencing societal well‐being, by providing access to seed or genetic material that is more resilient to pests, diseases, and environmental stresses. The ability to develop crops adapted to changing environmental conditions and with high nutritional value means societies can better cope with the adverse effects of climate change, safeguarding food production and rural livelihoods. Enhancing sustainable crop traits, such as improved water‐use efficiency and nutrient utilization, supports the transition toward more sustainable agricultural practices. New technologically advanced phenotyping tools are required to optimally realize the potential of these genetic resources, to identify plant genetic resources that will best enable us to address current global challenges.Plant genebanks have a crucial role as specialized repositories, preserving diverse plant genetic resources and providing essential access to researchers, breeders, and farmers for developing resilient crops. With over 7 million global accessions, these genebanks significantly contribute to global food security, climate change mitigation, and sustainable agriculture. This opinion paper, inspired by an international workshop in 2022 in Wageningen (Netherlands), focuses on the transformative impact of phenomics technology within genebanks, offering a view on its potential applications and implications for preserving and utilizing plant genetic resources. Discussions from the 2022 workshop organized by the International Plant Phenotyping Network are integrated, emphasizing the potential of phenomics for global collaboration without requiring major policy developments. The workshop prioritized traits like disease resistance and drought tolerance, highlighting roots as a critical organ for phenotyping. Participants expressed a keen interest in global collaboration, emphasizing the need for partnerships between genebanks and advanced phenotyping facilities. The workshop's outcomes underscore the transformative impact of phenomics on genebanks, promoting innovation, collaboration, and sustainable agricultural practices. These results will guide future pilot studies, marking a significant step toward integrating phenomics into genebank practices and ensuring the continued prosperity of plant genetic heritage. [ABSTRACT FROM AUTHOR]

Introduction: Climate change poses numerous issues for indigenous populations in tropical cities worldwide, including reduced access to food, dwindling resources, and the proliferation of vector-borne illnesses. Indigenous communities are developing various mitigation and adaptation measures suitable for their distinct cultural and ecological demands. Methods: This study investigates the numerous indigenous climate change mitigation strategies (ICCMSs) being deployed in tropical cities, using secondary sources of data. The methodology involved a systematic review based on PRISMA guidelines, encompassing the identification, screening, eligibility, and inclusion of relevant literature. From an initial 1,200 sources, 450 were screened, and 102 met the inclusion criteria for full-text assessment. Results: Findings indicate that common ICCMSs in tropical cities include the use of traditional knowledge systems and materials in urban green infrastructure projects, agroforestry, sustainable urban agriculture, urban afforestation and reforestation, and indigenous technologies and innovations in waste management practices. Indigenous peoples have benefited from greater education and understanding about climate change, empowering them to take action and lower their greenhouse gas (GHG) emissions. Discussion: The study recommends that governments and international organizations support these mitigation efforts, incorporate them into public policy and urban planning for indigenous communities in tropical cities, and reduce global anthropogenic GHG emissions. Further studies are suggested to assess the effectiveness of these measures and their potential to enhance climate resilience in tropical cities. [ABSTRACT FROM AUTHOR]

Introduction: The study aims to evaluate the impact of climatological factors on rice yield and methane emissions in Southern Shaanxi’s rice cultivation areas, with the goal of informing effective Climate-Smart Agriculture (CSA) strategies. Methods: A three-year longitudinal analysis (2017-2019) was conducted, examining the correlation between rice productivity and weather conditions within the agricultural ecosystem. Data on rice yields and methane emissions were collected and analyzed to determine patterns and trends. Results: Significant correlations were identified between rice yield and weather conditions, with favorable weather for rice growth correlating with higher methane emissions. Methane emissions were particularly high during the vegetative and reproductive stages of rice growth, peaking 60 to 90 days after transplanting. Average emissions for this period were 245.2±80.1 kg CH4 ha-1 in 2017, 274.2±93.9 kg CH4 ha-1 in 2018, and 339.6±50.3 kg CH4 ha-1 in 2019. Total cumulative methane emissions over the entire rice cultivation period were 635.0±177.2 kg CH4 ha-1 in 2017, 661.2±239.2 kg CH4 ha-1 in 2018, and 679.4±205.4 kg CH4 ha-1 in 2019, with no statistically significant interannual differences. Discussion: The findings highlight the need to balance the goals of reducing greenhouse gas emissions for climate change mitigation with the enhancement of rice yield within CSA practices. The organic link between rice productivity and methane emissions under varying weather conditions suggests that an integrated approach to CSA is essential, considering climate adaptability, productivity, and greenhouse gas reduction. The study’s results contribute to a deeper scientific understanding of local agricultural ecosystems and provide a basis for developing management techniques for CSA. Conclusion: An integrated approach to CSA that takes into account the interplay between rice yield, methane emissions, and climatological factors is crucial for achieving sustainable agricultural practices in Southern Shaanxi. The study’s insights can guide the development of strategies that enhance both rice productivity and environmental sustainability [ABSTRACT FROM AUTHOR]

This study investigates the carbon offset potential in Espoo, Finland, by comparing a construction-impacted deforestation site with a larger conserved forest area. Addressing a knowledge gap in localized forest conservation as a CO2 offset method, our research quantifies the carbon stock and sequestration impacts under both baseline and alternative scenarios for the two study sites. The baseline scenario for offset site reflects standard forest management practices, while the alternative scenario involves complete forest conservation without active management. Our findings reveal that the conserved forest (79 ha), dominated by Norway spruce (Picea abies) and Scots pine (Pinus sylvestris), increased its carbon stock by 26 Mg C ha-1 in soil and 65 Mg C ha-1 in biomass. This enhancement is sufficient to compensate for the smaller deforestation site's (19 ha), also containing a mix of Norway spruce and Scots pine, stock loss of 186 Mg C ha-1 in soil and 43 Mg C ha-1 in biomass. Furthermore, this study illuminates the complexities of CO2 compensation regulation and emphasizes the necessity for robust, transparent carbon accounting practices. The insights offer a valuable perspective on integrating nature-based solutions in urban planning to achieve broader ecological and climate goals. [ABSTRACT FROM AUTHOR]

In the last two decades, an exponentially growing number of meta-analyses (MAs) synthesize thousands of peer-reviewed studies on the environmental impacts of farming practices (FPs). This paper describes the iMAP-FP evidence library, a comprehensive dataset on the effects of 34 categories of FPs (such as agronomic practices, cropping and livestock systems, land management options and mitigation techniques) on 34 impacts including climate mitigation, soil health, environmental pollution, water use, nutrients cycling, biodiversity, and agricultural productivity. Through systematic screening, 570 MAs published since 2000 were selected and categorized according to the type of FP. We assessed their impacts, the geographic regions covered, and their quality. We extracted 3,811 effects and their statistical significance associated with sustainable FPs (intervention) compared to a control (typically conventional agriculture) across 223 different intervention-control pairs. Our dataset is accompanied with an online free-access library, which includes a catalogue of synthetic reports summarizing the available evidence on each evaluated FP. [ABSTRACT FROM AUTHOR]

Remote sensing of forests is a powerful tool for monitoring the biodiversity of ecosystems, maintaining general planning, and accounting for resources. Various sensors bring together heterogeneous data, and advanced machine learning methods enable their automatic handling in wide territories. Key forest properties usually under consideration in environmental studies include dominant species, tree age, height, basal area and timber stock. Being proxies of stand productivity, they can be utilized for forest carbon stock estimation to analyze forests' status and proper climate change mitigation measures on a global scale. In this study, we aim to develop an effective machine learning-based pipeline for automatic carbon stock estimation using solely freely available and regularly updated satellite observations. We employed multispectral Sentinel-2 remote sensing data to predict forest structure characteristics and produce their detailed spatial maps. Using the Extreme Gradient Boosting (XGBoost) algorithm in classification and regression settings and management-level inventory data as reference measurements, we achieved quality of predictions of species equal to 0.75 according to the F1-score, and for stand age, height, and basal area, we achieved an accuracy of 0.75, 0.58 and 0.56, respectively, according to the R2. We focused on the growing stock volume as the main proxy to estimate forest carbon stocks on the example of the stem pool. We explored two approaches: a direct approach and a hierarchical approach. The direct approach leverages the remote sensing data to create the target maps, and the hierarchical approach calculates the target forest properties using predicted inventory characteristics and conversion equations. We estimated stem carbon stock based on the same approach: from Earth observation imagery directly and using biomass and conversion factors developed for the northern regions. Thus, our study proposes an end-to-end solution for carbon stock estimations based on the complexation of inventory data at the forest stand level, Earth observation imagery, machine learning predictions and conversion equations for the region. The presented approach enables more robust and accurate large-scale assessments using limited annotated datasets. [ABSTRACT FROM AUTHOR]

Background: Dry Afromontane forests play a vital role in mitigating climate change by sequestering and storing carbon, as well as reducing greenhouse gas emissions. Despite previous research highlighting the importance of carbon stocks in these ecosystems, the influence of canopy cover and environmental factors on carbon storage in dry Afromontane forests has been barely assessed. This study addresses this knowledge gap by investigating the effects of environmental factors and vegetation cover on carbon stocks in Desa'a forest, a unique and threatened Afromontane dry forest ecosystem in northern Ethiopia. Data on woody vegetation, dead litter, grass biomass, and soil samples were collected from 57 plots. A one-way analysis of variance (ANOVA) was performed at a 95% confidence level (α = 0.05) to examine the influence of canopy cover and environmental factors on the carbon stocks of various pools. Results: Among the 35 woody species identified, Juniperus procera was the most dominant, while Carissa edulis Vahl and Eucalyptus globulus were the least dominant. The average total carbon stock was 92.89 Mg ha−1, with contributions from aboveground carbon, below-ground carbon, litter carbon, grass carbon, and soil organic carbon. Among the carbon pools, soil organic carbon had the highest carbon stock, accounting for 76.8% of the total, followed by above-ground biomass carbon at 17.7%. Significant variations in carbon stocks were found across altitude class and canopy level but not slope and aspect factors. Conclusions: In summary, altitude and canopy level were found to significantly influence carbon stocks in Desa'a forest, providing valuable insights for conservation and climate change mitigation efforts in dry Afromontane forests. Forest intervention planning and management strategies should consider the influence of different environmental variables and tree canopy levels. [ABSTRACT FROM AUTHOR]

The rapid growth of offshore wind farms (OWFs) is driven by concerns for energy security and climate change mitigation. However, their impact on marine environments remains poorly understood due to limited research. This study analyzes the effects of an OWF along China's Jiangsu Coast on seawater quality using data from different development phases. Results show the major pollutants were different across phases. Heavy metal pollution reached alert levels during construction compared to the safe levels observed in the pre-construction and operational phases, mainly due to increases in Pb, Cd, and Hg concentrations. Eutrophication was mild throughout all periods but exhibited a continuous decrease, primarily attributed to reductions in PH and COD concentrations. As a result, the comprehensive pollution level during construction was increased, but it was improved to a clean level during the operational phase. Besides, significant variations were observed in the spatial distribution patterns of major pollutant indices across different scenarios. These changes may stem from a combination effect of land-based pollution, aquaculture, OWF-induced disturbances to atmosphere and hydrodynamics, OWF-related drain and leakage contamination, and marine management policies. Understanding these effects informs OWF optimization, rational wind resource utilization, and marine ecology protection. [ABSTRACT FROM AUTHOR]

This paper presents a collection of datasets holding information on the energy and climate action plans of 6,850 municipalities, taking part in the transnational initiative of the Global Covenant of Mayors (GCoM). This collection includes commitments for reducing net GHG emissions by at least 20% by 2020, 55% by 2030 and becoming climate neutral by 2050. The signatories commit to addressing any of the three pillars of the initiative, namely climate change mitigation, adaptation and energy access. Following two previous releases, the third release of the GCoM collection is introduced, with closing date September 2022. The datasets include information on the action plans and monitoring reports as they are self-reported by signatories, undergoing a quality-harnessing procedure before publication. Additionally, an external comparison is developed with the Emissions Database for Global Atmospheric Research (EDGAR v7), controlling for comparable sources and activity sectors, ensuring the usability of the GCoM datasets for relevant research on local policies and their effects on reducing the impact of climate change. [ABSTRACT FROM AUTHOR]

It is a perennial challenge for different political organisations, including environmental NGOs (ENGOs), to accommodate diverse social and political groups’ interests, opinions, and experiences. Without sufficient inclusiveness, ENGOs struggle to help create social and political change at a much faster pace, with climate action in Australia being a key example. In this regard, this paper argues that inclusiveness needs to encompass three dimensions, diversity, equity, and procedural justice, which are critical to managing internal tensions, disagreements, and conflicts. Evidence from two different ENGOs, the Australian Conservation Foundation (ACF) and Extinction Rebellion Australia (XR Aus), shows that despite different types of organisational structures and resource availability, there are different challenges and opportunities for the two ENGOs in trying to establish and maintain higher inclusiveness. While diversity remains challenging to both groups, XR Aus’s self-organising and decentralisation have much easier access to decision-making and autonomous participation than ACF. However, it remains to be seen if XR Aus could harass its organising features to establish and maintain a higher level of procedural justice. These findings are relevant not only to issues in climate action problems but also to other collective action problems such as ethnics equality, domestic violence, income disparity, and gun control. [ABSTRACT FROM AUTHOR]

Climate change poses a massive and growing threat to wildlife. Calls are growing for coordinated and collaborative responses to conserve species threatened by climate change, but how this works in practice remains largely unexplored. Focusing on seabirds in North‐West Europe, we carried out 32 semi‐structured stakeholder interviews to (1) explore existing conservation work linked to climate change, (2) identify barriers to work on climate change among conservation actors, and (3) identify key conservation actors and characterize their interactions. Interviewees identified a range of research, policy, and practical conservation work for seabirds related—directly or indirectly—to climate change. They highlighted the importance of general conservation work to facilitate seabird adaptation to climate change, and global mitigation of climate change (e.g., through decarbonization and ecosystem restoration). Interviewees identified several barriers to conservation work explicitly addressing climate change, pertaining to information, leadership, resources, and values/beliefs. We discovered that seabird conservation networks are generally well‐established and harmonious, but not tension‐free. There are also some misunderstandings over actor responsibilities that could lead to bystander effects. We present suggestions to increase the effectiveness and efficiency of seabird conservation in response to climate change. [ABSTRACT FROM AUTHOR]

Flash droughts, characterized by rapid onset and development, present significant challenges to agriculture and climate mitigation strategies. Operational drought monitoring systems, based on precipitation, soil moisture deficits, or temperature anomalies, often fall short in timely detection of these events, underscoring the need for customized identification and monitoring indices that account for the rapidity of flash drought onset. Recognizing this need, this paper introduces a global flash drought inventory from 1990 to 2021 derived using the Soil Moisture Volatility Index (SMVI). Our work expands the application of the SMVI methodology, previously focused on the United States, to a global scale, providing a tool for understanding and predicting these rapidly developing phenomena. The dataset encompasses detailed event characteristics, including onset, duration, and severity, across diverse climate zones. By integrating atmospheric variables through their impact on soil moisture, the inventory offers a platform for analyzing the drivers and impacts of flash droughts, and serves as a large, consistent dataset for use in training and evaluating flash drought prediction models. [ABSTRACT FROM AUTHOR]

The dissolution of CO2 in seawater in the form of bicarbonate ions is an attractive alternative to storage in geological formations, on the condition that the storage is stable over long periods and does not harm the marine environment. In this work, we focus on the long-term chemical stability of CO2 absorbed in seawater as bicarbonate by monitoring the physico-chemical properties of the solutions (pH, dissolved inorganic carbon and alkalinity) in six different sets of experiments on both natural and artificial seawater lasting up to three months. The bicarbonate treatment of natural seawater consists of mixing it with pre-equilibrated solutions obtained from the reaction of CO2 and Ca(OH)2, with the same pH as natural seawater. This was achieved with a pilot plant working with tons of seawater, while small-scale laboratory experiments were carried out by adding sodium bicarbonate to artificial seawater solutions. If the increase in the overall carbon concentration in the final mixture does not exceed a critical threshold (about 1000–1500 μmol/L), the resulting bicarbonate-rich solutions are found to be stable for over three months. [ABSTRACT FROM AUTHOR]

Land-use and land-cover change (LULCC) is a critical environmental issue that has significant effects on biodiversity, ecosystem services, and climate change. This study examines the land-use and land-cover (LULC) spatiotemporal dynamics across a three-decade period (1998–2023) in a district area. In order to forecast the LULCC patterns, this study suggests a hybrid strategy that combines the random forest method with multi-layer perceptron (MLP) and Markov chain analysis. To predict the dynamics of LULC changes for the year 2035, a hybrid technique based on multi-layer perceptron and Markov chain model analysis (MLP-MCA) was employed. The area of developed land has increased significantly, while the amount of bare land, vegetation, and forest cover have all decreased. This is because the principal land types have changed due to population growth and economic expansion. This study also discovered that between 1998 and 2023, the built-up area increased by 468 km2 as a result of the replacement of natural resources. It is estimated that 25.04% of the study area's urbanization will increase by 2035. The performance of the model was confirmed with an overall accuracy of 90% and a kappa coefficient of around 0.89. It is important to use advanced predictive models to guide sustainable urban development strategies. The model provides valuable insights for policymakers, land managers, and researchers to support sustainable land-use planning, conservation efforts, and climate change mitigation strategies. [ABSTRACT FROM AUTHOR]

Germany needs to reduce CO2 emissions from space heating in its old buildings to net zero by 2045 to fulfil its climate goals. However, direct CO2 reduction measures in existing buildings receive relatively little subsidy support from the federal government's German Development Bank, compared to generous subsidies for energy efficiency measures. This interdisciplinary paper evaluates this phenomenon by comparing costs and CO2 abatement effects of ever higher energy efficiency measures, alongside the costs of direct CO2 reduction through heat pumps and onsite photovoltaics. It uses a set of carefully selected reports on the costs and benefits of renovation to a range of energy efficiency standards in three common types of multi-apartment buildings in Germany, updating these for 2024 construction, energy, and finance costs. The cost of the CO2 saved is extremely high with energy efficiency measures and absurdly high with the highest energy efficiency standards, up to 20 times the cost of CO2 abatement through other means, such as offsite renewables. This reduces markedly with onsite CO2 reduction measures. This paper sets this analysis in the context of asking what social, cultural, and discursive factors extol energy efficiency so highly that policy tends to thwart its own stated goal of deeply reducing CO2 emissions. [ABSTRACT FROM AUTHOR]

Improving the energy efficiency of buildings (IEEBs) is crucial to achieving the European Union's ambitious climate and energy goals. To channel these efforts, new policies, legislation, sources of funding, mechanisms for distributing funds, programs, and support tools are being introduced. The purpose of this study is to demonstrate the effects of the disbursement of EU Cohesion Policy 2014–2020 funds on IEEBs in Poland and Germany, filling the research gap regarding the regional differentiation of investments, beneficiaries, and the spatial distribution of subsidies and projects. An analysis was made of 7818 projects on IEEBs implemented under regional operational programs from European Regional Development Funds under Thematic Objective 4. This research was conducted for two main variables: (1) beneficiaries (8 categories) and (2) investments (8 categories). Based on this division, using a cluster analysis through the use of Ward's agglomerative hierarchical clustering method, groupings were made in relation to beneficiaries (6 groups) and investments (6 group). The results allowed us to identify regional differences and similarities in the approach to the disbursement of funds on IEEBs, to indicate the main beneficiaries, to highlight trends in this regard, to demonstrate the impact of changes in territorial affiliation on investment targeting, and, furthermore, to capture the variation in the sophistication of the implementation of EU IEEB-related policies and legislation. The results provide a well-documented voice in the discussion of the effects of distributing EU funds for IEEBs in the regions of Poland and Germany and provide a basis for further comparative research. [ABSTRACT FROM AUTHOR]

This study utilizes machine learning to quantify CO2 plume extents by analyzing microseismic data from the Illinois Basin Decatur Project (IBDP). Leveraging a unique dataset of well logs, microseismic records, and CO2 injection metrics, this work aims to predict the temporal evolution of subsurface CO2 saturation plumes. The findings illustrate that machine learning can predict plume dynamics, revealing vertical clustering of microseismic events over distinct time periods within certain proximities to the injection well, consistent with an invasion percolation model. The buoyant CO2 plume partially trapped within sandstone intervals periodically breaches localized barriers or baffles, which act as leaky seals and impede vertical migration until buoyancy overcomes gravity and capillary forces, leading to breakthroughs along vertical zones of weakness. Between different unsupervised clustering techniques, K-Means and DBSCAN were applied and analyzed in detail, where K-means outperformed DBSCAN in this specific study by indicating the combination of the highest Silhouette Score and the lowest Davies–Bouldin Index. The predictive capability of machine learning models in quantifying CO2 saturation plume extension is significant for real-time monitoring and management of CO2 sequestration sites. The models exhibit high accuracy, validated against physical models and injection data from the IBDP, reinforcing the viability of CO2 geological sequestration as a climate change mitigation strategy and enhancing advanced tools for safe management of these operations. [ABSTRACT FROM AUTHOR]

CCUS technologies are crucial solutions for mitigating climate change by reducing CO2 emissions from industrial operations and energy sectors. This review critically examines the current state of CCUS technologies, and highlights advancements, challenges, regulatory frameworks, and future directions. It comprehensively analyzes carbon capture methods, such as pre-combustion, post-combustion, and oxy-fuel combustion capture, while comparing their efficiencies and limitations. The review also explores carbon utilization techniques, such as direct and indirect utilization, emphasizing their potential applications and technological constraints. Additionally, it assesses various carbon storage methods, focusing on geological, ocean, and mineralization storage, and discusses their capacity, feasibility, and environmental implications. The study reviews the policy and regulatory frameworks, economic viability, market trends, and environmental sustainability of CCUS. By identifying research gaps and recommending future research priorities, this review aims to guide the development of more efficient/effective, and cost-effective CCUS technology, ensuring their role in a sustaining low-carbon future. This review provides a forward-looking perspective, a critical and interdisciplinary analysis that assesses the current state of CCUS technologies, and further provides a roadmap for future development. [ABSTRACT FROM AUTHOR]

Biofuels are essential to ensure the energy transition and mitigating of climate change. However, understanding the impact of land use change (LUC) and management practices on soil organic carbon (SOC) stocks is fundamental to ensuring well‐founded policymaking and assessing the sector's carbon footprint. Here, we conducted a meta‐analysis (511 pairwise observations) to obtain Brazil's SOC stock change factors (SOCscf) for LUC and management practices in sugarcane fields. Our results showed that converting native vegetation to sugarcane reduced the SOC stock in all assessed periods. The conversion from annual crops to sugarcane showed a reduction in SOC stock in the first 10 years but with a recovery over time. The conversion of pasture to sugarcane reduced the SOC stock only in the 10–20‐year period and had a neutral effect in other periods evaluated. However, our dataset showed high variability in SOCscf, with many observations indicating an increase in SOC stock, which is related to degraded pastures. We observed that the SOC accumulation rate for each ton of sugarcane straw was affected by the interaction between soil texture and precipitation. Regarding straw management, a low removal rate (< 34%) did not affect the SOC stock, while moderate (34%–66%) and high (> 66%) removal resulted in losses of 5.0% (SOCscf 0.950) and 9.9% (SOCscf 0.901), respectively. Our results also showed that reduced tillage and vinasse application increased SOC stocks by 24.0% (SOCscf 1.24) and 10.0% (SOCscf 1.10) respectively, proving to be good strategies to support C sequestration in sugarcane fields. Finally, we highlight that our results can contribute to the improvement of public policies and also be used in future life cycle assessment (LCA) and modeling studies, as they provide robust data to establishing regional SOCscf induced by LUC and management practices, enhancing the reliability of the C footprint assessment of biofuel production. [ABSTRACT FROM AUTHOR]

Health. Disability. Vulnerability. These words are often used when discussing the risks of climate disruption. These discussions warn of the potential for climate impacts to "undermine 50 years of gains in public health" (as stated by the Lancet Countdown on Climate Change). Increasingly, such discussions also acknowledge climate injustice, examining who will benefit or lose out from climate change, how and why. The embodied vulnerability of disabled people is often assumed within such discussions, with less consideration of the social, economic or political conditions that create this vulnerability. By bringing disability justice and disability studies into correspondence with care, environmental and climate justice scholarship, this reflective paper challenges the master narratives that blur differentiated experiences of disability and climate impacts into a single story of inevitable vulnerability. Recognising disabled people as knowers, makers and agents of change, it calls for transformative climate action, underpinned by values of solidarity, mutuality and care. [ABSTRACT FROM AUTHOR]

Canada has major sources of atmospheric methane (CH4), with the world's second-largest boreal wetland and the world's fourth-largest natural gas production. However, Canada's CH4 emissions remain uncertain among estimates. Better quantification and characterization of Canada's CH4 emissions are critical for climate mitigation strategies. To improve our understanding of Canada's CH4 emissions, we performed an ensemble regional inversion for 2007–2017 constrained with the Environment and Climate Change Canada (ECCC) surface measurement network. The decadal CH4 estimates show no significant trend, unlike some studies that reported long-term trends. The total CH4 estimate is 17.4 (15.3–19.5) TgCH4yr-1 , partitioned into natural and anthropogenic sources at 10.8 (7.5–13.2) and 6.6 (6.2–7.8) TgCH4yr-1 , respectively. The estimated anthropogenic emission is higher than inventories, mainly in western Canada (with the fossil fuel industry). Furthermore, the results reveal notable spatiotemporal characteristics. First, the modelled differences in atmospheric CH4 among the sites show improvement after inversion when compared to observations, implying the CH4 observation differences could help in verifying the inversion results. Second, the seasonal variations show slow onset and a late-summer maximum, indicating wetland CH4 flux has hysteretic dependence on air temperature. Third, the boreal winter natural CH4 emissions, usually treated as negligible, appear quantifiable (≥ 20 % of annual emissions). Understanding winter emission is important for climate prediction, as the winter in Canada is warming faster than the summer. Fourth, the inter-annual variability in estimated CH4 emissions is positively correlated with summer air temperature anomalies. This could enhance Canada's natural CH4 emission in the warming climate. [ABSTRACT FROM AUTHOR]

Large-scale reforestation, afforestation, and forest restoration schemes have gained global support as climate change mitigation strategies due to their significant carbon dioxide removal (CDR) potential. However, there has been limited research into the unintended consequences of forestation from a biophysical perspective. In the Community Earth System Model version 2 (CESM2), we apply a global forestation scenario, within a Paris Agreement-compatible warming scenario, to investigate the land surface and hydroclimate response. Compared to a control scenario where land use is fixed to present-day levels, the forestation scenario is up to 2 °C cooler at low latitudes by 2100, driven by a 10 % increase in evaporative cooling in forested areas. However, afforested areas where grassland or shrubland are replaced lead to a doubling of plant water demand in some tropical regions, causing significant decreases in soil moisture (∼ 5 % globally, 5 %–10 % regionally) and water availability (∼ 10 % globally, 10 %–15 % regionally) in regions with increased forest cover. While there are some increases in low cloud and seasonal precipitation over the expanded tropical forests, with enhanced negative cloud radiative forcing, the impacts on large-scale precipitation and atmospheric circulation are limited. This contrasts with the precipitation response to simulated large-scale deforestation found in previous studies. The forestation scenario demonstrates local cooling benefits without major disruption to global hydrodynamics beyond those already projected to result from climate change, in addition to the cooling associated with CDR. However, the water demands of extensive forestation, especially afforestation, have implications for its viability, given the uncertainty in future precipitation changes. [ABSTRACT FROM AUTHOR]

Enhancing carbon emission performance was crucial to achieving carbon neutrality goals. However, few studies have explored the driving mechanisms of carbon emission performance from the perspective of policy combinations. This study combined new energy demonstration cities and low-carbon cities as the subjects of policy combinations and analysed the impact of these two policy combinations on carbon emission performance. This study integrated the superefficiency epsilon-based measure model and the propensity score matching difference-in-differences method. We utilized panel data from 2007 to 2020 covering 271 Chinese cities to investigate the effects of these two policy combinations on carbon emission performance. First, this study employed the superefficiency epsilon-based measure model to measure carbon emission performance. Subsequently, the propensity score matching difference-in-differences approach was used to assess policy effects. The results indicated that the combination of these two policies significantly enhanced carbon emission performance, with a combined effect surpassing that of independent policy impacts by 48.47%. Furthermore, this study revealed that these two policy combinations enhanced carbon emission performance through green technological innovation and industrial structure upgrading. This study offers new insights for improving carbon emission performance, provides fresh perspectives for selecting pilot cities, and provides empirical evidence from China for the international community to adopt policy combination strategies for climate change mitigation. [ABSTRACT FROM AUTHOR]

This study examines the relationship between institutional trust from an individual and societal perspective and perceived corruption and climate attitudes of individuals in Latin America. To this end, multilevel modeling was used to test whether the attitudes of individuals from 285 regions of Latin America are influenced by these constructs. Based on the results, it was found that in contrast to studies in developed countries, where institutional trust is positively associated with pro-climate attitudes, in Latin America institutional trust acts as an inhibiting factor and is inversely related to climate attitudes. Furthermore, the perception of corruption in public institutions was also identified as a factor inhibiting collective action to combat climate change. Moderation analysis revealed that individuals' level of education significantly influences this relationship, with a notable difference in climate attitudes between individuals with low and high levels of trust, especially among those with less education. These findings highlight the importance of taking regional specificities into account when examining the relationship between institutional trust, perceptions of corruption, and climate attitudes, and underscore the need for public policies that promote transparency and accountability of institutions to foster effective collective action on climate change. [ABSTRACT FROM AUTHOR]

Local actors have growing prominence in climate governance but key capacities and powers remain with national policymakers. Coordination between national and local climate action is therefore of increasing importance. Underappreciated in existing academic and policy literature, coordination between actors at different scales can be affected not only by politics and institutional arrangements, but also by methods of data analysis. Exploring two datasets of GHG emissions by local area in England—one of consumption-based emissions and the other of territorial emissions—this paper shows the potential for a data scaling problem known as the modifiable areal unit problem and its possible consequences for the efficacy and equity implications of climate action. While this analysis is conceptual and does not identify specific instances of the modifiable areal unit problem or its consequences, it calls attention to methods of data analysis as possible contributors to climate governance challenges. Among other areas, future analysis is needed to explore how data scaling and other aspects of data processing and analysis may affect our understanding of non-state actors' contribution to climate action. Research highlights: Data scaling could affect the efficacy and equity of climate action in the UK. Enabling local actors can help to overcome the effects of data scaling. Relationships between methods of data analysis and governance need more attention. Research is needed on data scaling and the climate actions of non-state actors is needed. [ABSTRACT FROM AUTHOR]

It is important to understand how individuals in affluent societies reason around their own actions in relation to climate change. However, much of the research has focused on sceptics and those who have little interest in change. Studying those who want to contribute to a transition and why they fail is also of interest. This study is qualitative and deals with the internal reasoning of a self-selected sample of Swedes with sustainable values who argue in relation to a failed intention. Ca 400 responses were analysed. We used topos theory to identify thinking structures that guide the arguments used to deal with the cognitive dissonance that acting against knowledge and intention results in. The most common ways to argue were to imagine a climate account with possible deposits and withdrawals, or a budget which you strive to keep. Also common was to compare with something or someone that was "worse". Redirecting responsibility was also an argument, albeit complicating the issue of responsibility. The limits of reality were used as an excuse for action, whereas articulating the goal conflicts of a less emitting life made choices visible. Finally, the human condition of not always meeting your own standards was mentioned. These arguments only partly overlap common discourses of delay in the public sphere. [ABSTRACT FROM AUTHOR]

Forest management allows the sustained removal of significant amounts of carbon from the atmosphere. Within different activities in the forest, wood utilisation has the most significant man-made environmental impact which affects the carbon balance, which is important to know, to be able to accurately identify its role in climate change. This study aims to determine the carbon footprint of logging during utilisation based on scenario analysis in national default and theoretical assortment structures (11 additional scenarios for each forest stand) within the entire life cycle of raw wood products. Based on a common functional unit (100 m3 of cut wood), a comparative environmental life cycle analysis (LCA) for intermediate and final cutting was performed in shortwood forestry work systems in beech (Fagus spp.), oak (Quercus spp.), spruce (Picea spp.), black locust (Robinia pseudoacacia), and hybrid poplar (Populus x euramericana) stands in Hungary. After obtaining the results, the present study calculated the carbon footprint order for the utilisation life cycle phases and the entire tree utilisation life cycle. The distribution of absolute carbon footprint (ACF: considered emitted CO2 from fossil and biotic origins together) by final cutting exhibited the following order: hybrid poplar (6%)—spruce (8%)—beech (26%)—oak (27%)—black locust (33%). The ACF ranking for the whole technological life cycle (intermediate and final cutting, 400 m3 of cut wood) was hybrid poplar– spruce—oak—beech–black locust. The carbon footprint rankings of the studied stands were expanded to the national level. [ABSTRACT FROM AUTHOR]