Mitigate Climate Change Research Articles

Nuclear Energy's Role in Sustainability and Environmental Protection in India

The world today stands at a critical juncture, grappling with the profound and far-reaching impacts of climate change. The increasing frequency of extreme weather events, rising sea levels, and deteriorating ecosystems only serve to underscore the urgency of transitioning to a low-carbon economy. Governments across the globe are intensifying their climate policies, striving to meet the ambitious goals set forth in international agreements such as the Paris Agreement. Central to these efforts is the systematic decarbonization of national energy mixes [1], where nations are increasingly turning to green and clean technologies to power their economies and ensure sustainable electrification. In this global race to mitigate climate change, renewable energy sources like wind, solar, and hydropower are often highlighted as the vanguards of a sustainable future [2]. However, the challenge lies not only in generating sufficient clean energy but also in ensuring a reliable and continuous supply that can meet the growing demands of an energy-hungry world.

Addressing Climate Change Through Social Innovation Initiatives

While social innovation has traditionally emphasised social sustainability, it also presents potential for the mitigation of climate change by influencing social practices. This study explores how social innovation initiatives address social practices to mitigate climate change. Our qualitative study in an affluent setting, a Swedish municipality with high emissions, led to the identification of four dimensions relevant for climate mitigation: SIIs’ social motives, inspiration of others, beneficiary participation, and use of artefacts. Social motives for climate relevant social ends focused on altering the meaning of practices while SIIs’ had social means focused on changing meaning, competences, and materials of emission-intensive practices.

Surplus or deficit? Quantification of carbon sources and sinks and analysis of driving mechanisms of typical oasis urban agglomeration ecosystems

The relationship between carbon sources and sinks, along with their balance, is a crucial indicator for assessing ecosystem health. Ecosystem protection mitigates climate change and promotes the carbon cycle balance. Consequently, to effectively assess the status of carbon sources and sinks in an oasis ecosystem, this study utilized remote sensing and statistical data to estimate the natural carbon sources and sinks, energy carbon emissions(ECE), and carbon surpluses or deficits in the urban agglomeration of the northern slopes of the Tianshan Mountains(UANSTM) for a period 2000–2022 from a perspective of the natural-social-economic system. The driving mechanisms were analyzed using the optimal geodetector model (OPGD) and generalized divisia index method (GDIM). The results show(1) throughout the study period, natural carbon sources and sinks in the UANSTM exhibited a distribution pattern that diminished from the Tianshan Mountains axis northward and southward, accompanied by a fluctuating increase over time. ECE predominantly occurred in urban built-up areas and adjacent cultivated lands, totaling an increase of 88.48 × 104 TgC. (2) The change trend showed an overall predominance of carbon sources, with the rate of increase of carbon sources being greater than that of carbon sinks. Grassland-cultivated land and construction land interaction area exhibited significant changes in carbon sources and sinks. (3) During the study period, the UANSTM experienced a consistent carbon deficit, averaging −68.11 TgC annually. Spatially, this deficit evolved from discrete points to linear and then to areal patterns. (4) Precipitation and elevation were the primary determinants of natural carbon sources and sinks. Whereas GDP with a contribution of 50.4%,was the predominant driver of ECE across each prefecture-level city. Development of policies that synergize regional natural and socioeconomic systems is an important means of achieving a carbon balance. The results of this study provide a reference for adding a research paradigm on carbon sources and sinks in oasis urban agglomerations and for low-carbon development.

How Can Land Use Management in Traditional Cultural Landscapes Become a Policy Instrument for Soil Organic Carbon Sequestration and Climate Change Mitigation? A Transylvanian Case Study

Changes in land use from high-nature-value grasslands to arable fields reduce the organic carbon stock in soil, increasing atmospheric carbon concentrations. Maintaining grasslands through traditional agricultural techniques can mitigate climate change by transferring atmospheric carbon to the soil. Benefits of soil organic carbon sequestration include improved soil properties and enhanced ecosystem services and biodiversity. With Romania’s ratification of the Paris Agreement, it is crucial to review climate-related agricultural policies and incentivize carbon sequestration practices in organic soils. This paper presents a soil carbon study in Transylvania’s Târnava Mare region, Romania, known for its preserved cultural landscapes. Soil samples were taken at a depth of 60 cm to assess organic carbon pools under grassland and arable land management across three soil classes: Cernisoils, Hidrisoils, and Luvisoils. Several statistical tests were applied to evaluate the most significant drivers of soil organic carbon sequestration including land use, soil class, and soil depth. The results indicate that land management has the largest impact, with grasslands storing 45% more carbon than arable land on average. This finding should be integrated into national climate action plans, prioritizing the preservation of grasslands and sustainable agricultural practices to support soil organic carbon sequestration.

Mapping the Path to Low-Carbon Behaviour: A Systematic Review of Trends, Gaps, and Future Directions

It is essential to conduct research on low-carbon behaviour in order to address global climate change and promote sustainable development. This study conducts a thorough examination of a bibliometric analysis of the existing literature in this field. We analysed 129 papers from the Web of Science Core Collection database to conduct a study on the concept of “low-carbon behaviour”. Review articles, proceedings papers, and editorial materials were all excluded. This investigation examines a diverse array of research environment factors, including the most highly ranked publications, publication trends, significant publishers, and patterns in citations and publications over time. The primary institutional contributors in the discipline and the most influential works worldwide are also mentioned. The application of advanced visualisation techniques, such as wordcloud representations, the spatial distribution of research output, and co-occurrence and overlay networks, is employed to generate maps of keyword relationships and collaboration networks using Bibliometrix Stable Version, VOSviewer 1.6.20, and Scimago Graphica Beta 1.0.45. This multi-modal methodology enables a comprehensive investigation of significant research issues and emerging directions in low-carbon behavioural studies. This study contributes to the ongoing endeavours to promote sustainable development and mitigate climate change by conducting a comprehensive evaluation of the current state of research and establishing a robust framework for future investigations into low-carbon behavioural patterns and behaviours.

High-resolution assessment of wind energy potential in the Hami region of Northwestern China

Abstract Wind energy plays a pivotal role in the global effort to mitigate climate change, with China emerging as a leader in renewable energy adoption. The Hami region in northwestern China stands out as a crucial area for wind power development, given its substantial wind resources and strategic importance in China’s energy landscape. However, existing studies on wind energy potential vary widely and involve large uncertainties due to sparse measurements and coarse resolution, highlighting the need for more precise assessments to guide policy decisions and optimize energy utilization. This study leverages high-resolution ERA5 reanalysis data and advanced wind turbine technology to assess wind energy potential in the Hami region, taking into account factors including wind speed patterns, turbine heights, and geographical constraints. The comparison with in-situ data demonstrated that high-resolution ERA5 reanalyzed wind speeds enable to capture multi-year wind speed variations in this region. We find substantial potential for wind energy in Hami, with energy densities exceeding 200 W/m² in the high-potential wind zones. Importantly, this study identifies a new high-potential area in eastern Hami, termed the East Wind Zone. Our high-resolution assessment of wind energy potential at different heights over the past two decades reveals long-term trends and seasonal variations. Increasing the hub height from 95 m to 140 m raises the average wind power generation potential across Hami by 31.3 GWh/year. Our findings highlight the importance of strategic wind farm placement to maximize renewable energy output and provide insights for policy and industry, supporting China's renewable energy goals.

Weather as Fuel — The Wicked Problem of Renewable Energy

Abstract A key component of mitigating climate change is reducing society’s dependence on fossil fuels, which will require replacing them with clean energy sources. The key strategy being pursued in the United States (and most other countries) is to rapidly scale up our use of renewable energy sources. Electricity generation provided by wind turbines and solar photovoltaic panels, in particular, has been growing rapidly, and most energy experts expect them to be the dominant forms of electricity generation in the future. Given the dependence these energy sources have on weather conditions (windiness and cloudiness, respectively), it is useful to view weather as the “fuel” for these renewables in the same way that coal or natural gas serves as the fuel in generating electricity in a fossil-fuel power plant. This paper uses a novel thought experiment to drive home this concept, while also exploring the complexity of providing reliable power on a grid dominated by renewable generation. The paper then shows how the transition to renewable energy falls into the class of problems known as “wicked problems,” and discusses approaches that will be needed to make progress. The current status of addressing these complex issues is reviewed through the lens of the wicked problem paradigm.

Defaunation impacts on the carbon balance of tropical forests.

The urgent need to mitigate and adapt to climate change necessitates a comprehensive understanding of carbon cycling dynamics. Traditionally, global carbon cycle models have focused on vegetation, but recent research suggests that animals can play a significant role in carbon dynamics under some circumstances, potentially enhancing the effectiveness of nature-based solutions to mitigate climate change. However, links between animals, plants, and carbon remain unclear. We explored the complex interactions between defaunation and ecosystem carbon in Earth's most biodiverse and carbon-rich biome, tropical rainforests. Defaunation can change patterns of seed dispersal, granivory, and herbivory in ways that alter tree species composition and, therefore, forest carbon above- and belowground. Most studies we reviewed show that defaunation reduces carbon storage 0-26% in the Neo- and Afrotropics, primarily via population declines in large-seeded, animal-dispersed trees. However, Asian forests are not predicted to experience changes because their high-carbon trees are wind dispersed. Extrapolating these local effects to entire ecosystems implies losses of ∼1.6 Pg CO2 equivalent across the Brazilian Atlantic Forest and 4-9.2 Pg across the Amazon over 100 years and of ∼14.7-26.3 Pg across the Congo basin over 250 years. In addition to being hard to quantify with precision, the effects of defaunation on ecosystem carbon are highly context dependent; outcomes varied based on the balance between antagonist and mutualist species interactions, abiotic conditions, human pressure, and numerous other factors. A combination of experiments, large-scale comparative studies, and mechanistic models could help disentangle the effects of defaunation from other anthropogenic forces in the face of the incredible complexity of tropical forest systems. Overall, our synthesis emphasizes the importance of-and inconsistent results when-integrating animal dynamics into carbon cycle models, which is crucial for developing climate change mitigation strategies and effective policies.

Dynamic Characteristics of Soil Respiration in Park Green Spaces in Qingdao City

Urban green spaces play an essential role in maintaining the carbon cycle and mitigating climate change in urban ecosystems. In order to gain more carbon sinks from urban green ecosystems, it is essential to determine the carbon sequestration statuses and soil respiration rates of dominant green spaces, especially park green spaces. However, in comparison to natural ecosystems, the dynamic characteristics of soil respiration in artificial park green spaces remain unclear. This study investigated the soil respiration rates for three forest communities (dominated by Prunus serrulata var. lannesiana, Cedrus deodara, Ginkgo biloba, respectively), a shrub community (dominated by Aucuba japonica var. variegata) and a lawn community (dominated by Poa pratensis) in the Qingdao Olympic Sculpture and Culture Park. We used the CRIAS-3 portable photosynthesis system in combination with the SRC-1 soil respiration chamber to measure the soil respiration rate from July 2022 to June 2023 and analyzed the dynamic variations in the soil respiration rate for these specific plant communities. Our results showed that the diurnal variation in soil respiration presented a unimodal curve for the five plant communities, and it peaked at midday or in the early afternoon. They also exhibited a significant seasonal difference in the soil respiration rate, which was characterized by higher rates in summer and lower rates in winter. The lawn community exhibited significantly higher soil respiration rates compared to the woody plant community. The mean annual soil respiration rate (RS) was, respectively, 2.88 ± 0.49 µmol·m−2·s−1, 1.94 ± 0.31 µmol·m−2·s−1, 1.43 ± 0.21 µmol·m−2·s−1, 1.24 ± 0.14 µmol·m−2·s−1 and 1.05 ± 0.11 µmol·m−2·s−1 for the lawn community, Ginkgo biloba community, Prunus serrulata var. lannesiana community, shrub community and Cedrus deodara community. The soil temperature at a 10 cm depth (T10) accounted for 67.39–86.76% of the variation in the soil respiration rate, while the soil volumetric water content at a 5 cm depth (W5) accounted for 9.29–44.01% of the variation for the five plant communities. The explained variance for both T10 and W5 ranged from 67.8% to 87.6% for the five plant communities. The Q10 values for the five different communities ranged from 1.97 to 2.75. Based on these findings, this paper concludes that the factors influencing the soil respiration process in urban green spaces are more complicated in comparison to natural ecosystems, and it is essential to comprehensively analyze these driving factors and key controlling factors of soil respiration across urban green spaces in future studies.

Interaction of Climate Change and Green Stocks on Economic Growth in ASEAN-5

Research Originality: This study presents a new interaction of climate change in moderating the effect of green stocks, exchange rates, and net exports on economic growth in ASEAN-5 countries. Research Objectives: This study aims to analyze the interaction of climate change on green stocks, exchange rates, and net exports on economic growth in ASEAN-5 countries. Research Methods: This study used quarterly panel data from ASEAN-5 countries, 2016-2022, and selected a fixed effects model as the best model. The moderated regression analysis (MRA) approach supports this research.Empirical Results: The results showed that green stocks, exchange rates, and net exports positively affect economic growth in ASEAN-5 countries. The interaction of climate change on green stocks and exchange rates has a negative effect on economic growth. However, the interaction of climate change on net exports positively affects economic growth in ASEAN-5 countries. It represents that climate change can weaken the effect of green stocks and exchange rates on economic growth. Meanwhile, climate change can strengthen the effect of net exports on economic growth in ASEAN-5 countries. Implications: This study implies that the government needs to increase investment in green stocks to support financing that can mitigate climate change and develop net exports to increase economic growth toward a green economy. Similarly, the ASEAN-5 central banks, as monetary authorities, can maintain exchange rate fluctuations to achieve stable economic growth.JEL Classification: F31, F43, G11, Q54, Q56

The Promoting Effect of Green Bonds on Reducing Carbon Emission Intensity Through Energy Structure Transition

Climate change poses a significant threat to the sustainable development of all countries. The transition to low-carbon energy sources is a crucial strategy for reducing carbon emissions and mitigating climate change. We investigate the mediating role of clean energy consumption (EC) and fossil energy supply (ES) on the promoting of carbon emission intensity per unit of GDP (CO2/GDP) reduction by green bonds (GBs). We develop a mediating model to analyze how GB influences CO2/GDP reduction through EC and ES, utilizing panel data from 13 prefecture-level cities in Jiangsu province spanning the years 2007 to 2021. Additionally, we assess the model’s reliability through endogeneity and robustness tests. We find that GBs contribute to reducing CO2/GDP by facilitating the structural transition of energy supply and consumption. Furthermore, the development of GBs enhance the consumption of clean energy and plays a direct role in advancing the transition in structure of both energy supply and energy consumption. Notably, we observe heterogeneity in the effectiveness of GBs on CO2/GDP reduction across different regions. Therefore, it is imperative for the government to actively promote the development of GBs to achieve sustainable economic growth. Furthermore, both financial and energy policies should be tailored to align with the specific energy structures of various regions.

Do impoverished regions benefit from climate change mitigation measures? Evidence from the Forest Carbon Sink Project in China

ABSTRACT Forests play a crucial role in achieving global climate change mitigation goals. The Forest Carbon Sink Project (FCSP) was initially proposed by the Clean Development Mechanism under the Kyoto Protocol, aiming to address externalities in climate governance through ecological compensation mechanisms. For impoverished regions, the FCSP is more attractive than the mandatory administrative approaches to forest protection. This Currently, due to the lack of empirical research, there is still debate in the academic community about whether the FCSP can produce overall positive economic benefits in poor areas. Based on panel data from 634 impoverished counties in China from 2002 to 2019, this study attempts to address this issue using a multi-period Difference-in-Differences (DID) model. The results demonstrate that, compared to non project counties, the implementation of the FCSP led to an increase in actual GDP and per capita GDP of 8.40% and 11.10% in project counties, respectively. That is, the FCSP can expand the economic scale while also promoting economic growth of project counties. The results of the dynamic model show that the economic benefits generated by the FCSP in these counties are long-term and sustainable. Based on the results of theoretical analysis and mechanism testing models, this study concludes that the FCSP generates short-term economic benefits through capital investment. It generates long-term economic benefits by improving the productivity of the primary industry labour force, increasing the level of fixed asset construction, and optimizing the industrial structure in poverty-stricken counties. Additionally, this study also conducted a heterogeneity analysis. In summary, this study concludes that the FCSP is a climate change mitigation measure worthy of promotion in impoverished regions.

Dynamic role of medium- and high-tech industries and environmental policy stringency in environmental sustainability: fresh insights from Dynamic Seemingly Unrelated Regression (DSUR) analysis.

Since the last two decades, carbon neutrality has become a primary target of all economies. Governmental environmental policies stand as the most potent tools in the arsenal when it comes to tempering the effects of climate change. Fostering the adoption of green energy sources and embracing energy efficiency principles may assume an essential role in upholding the standard of ecological integrity. The primary objective of this inquiry revolves around the meticulous analysis of the intricate interplay between economic growth, the trajectory of industrialization, the up-gradation of industrial sector structure, the integration of green energy paradigms, and the implementation of energy efficiency strategies and environmental policies in the frame spanning from 2000 to 2019. To tackle the matter of cross-sectional dependency and heterogeneity, second-generation cointegration estimators, Dynamic Seemingly Unrelated Regression (DSUR) and Augmented Mean Group (AMG), were employed to estimate long-run relationships. The consequences of DSUR and AMG indicate that while economic and industrial growth contributes to environmental degradation, renewable energy usage, and medium-high-tech industries mitigate the carbon emissions in selected countries. Further study results suggest that energy intensity positively impacts environmental degradation, which means energy efficiency helps mitigate CO2 emissions in these countries. This study also reveals that the degree of stringency in environmental policy negatively affects CO2 releases in the selected nations. Consequently, our study recommends the enhancement of the stringency of environmental policies, promoting environmentally friendly energy usage, the efficient use of energy, and the advancement of industries into medium-high-tech industries as effective ways to mitigate climate change in specific developing countries.

Assessment of coastal flood risk scenarios on infrastructure in the Keta municipality in Ghana using a GIS approach

Coastal flooding and erosion, caused by climate change-induced sea level rise, pose significant threats to low-lying coastal areas worldwide. The African continent, including Ghana, has experienced severe impacts from these hazards, affecting the socio-economic development of coastal communities. This research focuses on the Keta municipality in Ghana. The Keta municipality is highly vulnerable to coastal flooding and erosion due to its low elevation and the construction of the Akosombo hydroelectric dam. This research aims to predict the impact of coastal flooding on infrastructure in the Keta municipality using different flood scenarios. It also fills the existing knowledge gap in understanding how future flood risk can impact on critical infrastructure and consequently on other vital socio-economic sectors in the coastal community of Keta. The study utilizes a Geographic Information System (GIS)-based approach, combining various datasets, including topographic data, administrative shapefiles, field survey points, and infrastructure data. Two flood scenarios were considered to assess areas at risk: a 2.5-m sea level flood scenario representing potential climate change events and a worst-case 5-m sea level flood scenario. The findings reveal that 3.3 km2 (9 %) of coastal land area, 3.9 km of roads, and 69 structures are at risk under a 2.5m sea level rise scenario, increasing to 7.1 km2 (19.4 %), 13.6 km of roads, and 667 structures under a 5m scenario. The study highlights the urgency of addressing these risks to protect coastal communities' socio-economic development and livelihoods. Recommendations include implementing appropriate coastal management strategies, improving infrastructure resilience, and promoting sustainable land-use practices. By understanding and addressing the future impact of coastal flooding, decision-makers can mitigate climate change's adverse effects on coastal areas and ensure the region's long-term sustainability.

Integrating Biofertilizers with Organic Fertilizers Enhances Photosynthetic Efficiency and Upregulates Chlorophyll-Related Gene Expression in Rice

Biofertilizers offer a sustainable method for improving rice growth and productivity, yet their effects on the interaction between plant growth, photosynthetic activity, and gene expression remain under-researched. This study examines how biofertilizer influences rice physiology, focusing on photosynthetic regulation and expression of chlorophyll-related genes. Eight fertilizer treatments were applied: control (CNT), biofertilizer (BF), deactivated biofertilizer (DABF), rice straw (RS), rice straw with biofertilizer (RS+BF), organic fertilizer (OF), organic fertilizer with biofertilizer (OF+BF), and inorganic fertilizer (IOF). Plant height, tiller number, SPAD, NDVI, chlorophyll content, and photosynthesis rates were measured, while gene expression analysis was conducted using RT-qPCR. The OF+BF treatment produced the most significant results, leading to a 31% increase in plant height, a 135% increase in tiller number, and a 42% increase in chlorophyll content (SPAD values) compared to the control. Additionally, OF+BF enhanced photosynthetic efficiency by 74%, with the highest net photosynthetic rate of 48.23 μmol CO2 m−2 s−1. Gene expression analysis revealed that OF+BF upregulated key photosynthesis-related genes, such as OsChlD and OsCHLM, showing a 70% and 90% increase in expression. These findings highlight the potential of integrating biofertilizers with organic fertilizers to sustainably boost rice growth and productivity, contributing to global food security and climate change mitigation.

Usos de materiales y energía en una tierra finita

INTRODUCTION. This article examines the relationship between material resources and the energy transition needed to mitigate climate change. The Earth is an open system in terms of energy, but closed in terms of materials, which implies that its sustainable management is crucial. It is estimated that around 50% of the human energy system and 70% of greenhouse gas (GHG) emissions are associated with materials management, which underlines the need for a new approach to materials management that limits the continued growth of resource extraction while promoting a circular economy. The article concludes with a reflection on the attitudes and actions needed for the post-fossil transition and the importance of education in this process. OBJECTIVE. To analyse the impact of material resources on the energy transition and to propose measures for a more sustainable management. METHOD. Theoretical research based on the analysis of reports and data on the use of material and energy resources. RESULTS. It was found that materials management is one of the main consumers of energy and constitutes one of the main sources of GHG emissions, and that moderation in its consumption and orientation towards the circular economy can significantly contribute to reducing them. DISCUSSION AND CONCLUSIONS. In order to advance towards a post-fossil civilization, in addition to general awareness and a change in attitudes, a change in the structure of the energy system, new forms of financing and new resource management regulations adapted to the characteristics of renewable energies are required.

Carbon Emission from Transportation in Higher Learning Institutions: A Case Study at Universiti Tun Hussein Onn Malaysia

The carbon emissions stemming from transportation within the campus environment pose a significant challenge to mitigating climate change and environmental degradation. At Universiti Tun Hussein Onn Malaysia (UTHM), transportation, particularly by staff and students, has been identified as the primary contributor to greenhouse gas emissions. This study aims to assess the total carbon emissions from transportation at UTHM and analyze trends over three consecutive years (2021 to 2023). Data were obtained from the Traffic Unit of the Security Department, encompassing vehicle counts and traffic surveys conducted across five roads within the UTHM Campus. The findings revealed a concerning escalation in carbon emissions over the study period. In 2021, transportation activities accounted for 947.64 tCO<sub>2</sub>e, which surged to 1568.42 tCO<sub>2</sub>e in 2022 and further increased to 1679.88 tCO2e in 2023. Notably, Persiaran Tun Ghazali Shafie emerged as a hotspot area for carbon emissions in 2023, experiencing a staggering 95.76% rise compared to 2021, with recorded emissions of 610 tCO<sub>2</sub>e. The average carbon emissions across the five surveyed roads in 2023 soared by 73.84% compared to 2021, indicating a persistent upward trajectory in emissions. These findings underscore the urgent need for sustained carbon emissions monitoring and mitigation efforts at UTHM. Continuous assessment by UTHM authorities is imperative to identify and implement effective strategies for curbing carbon emissions within the campus environment. UTHM can be pivotal in fostering a more sustainable and environmentally responsible campus community by prioritizing emission reduction initiatives.

The Process of Soil Carbon Sequestration in Different Ecological Zones of Qingtu Lake in the Arid–Semi-Arid Region of Western China

As a vital component of the global carbon pool, soils in arid and semi-arid regions play a significant role in carbon sequestration. In the context of global warming, increasing temperatures and moisture levels promote the transformation of barren land into wetlands, enhancing carbon sinks. However, the overdevelopment of oases and excessive extraction of groundwater lead to the opposite effect, reducing carbon sequestration. This study examines two soil types—meadow soil (MS) and swamp soil (SS)—from Qingtu Lake, an arid lake in western China. It analyzes the sources of soil inorganic carbon, the composition and origin of dissolved organic matter (DOM), and the relationships between microbes, soil organic carbon (SOC), soil inorganic carbon (SIC), mineral composition, and soil texture. The results indicate that inorganic carbon in the study area consists of both primary carbonate minerals and secondary pedogenic carbonates. The DOM primarily consists of two components, both identified as terrestrial humic substances. In meadow soils, bacterial activity drives the weathering of plagioclase, which releases Ca2+ necessary for the formation of pedogenic carbonates. Plagioclase also provides colonization sites for microbes and, along with microbial activity, participates in the soil carbon cycle. Within the soil community, bacteria appear to play a more critical role than fungi. In contrast, microbial contributions to the carbon cycle in swamp soils are weaker, with minerals predominantly interacting with organic carbon to form mineral-associated organic matter, thus promoting the soil carbon cycle. These findings have important implications for understanding soil carbon sinks under different micro-ecological conditions in arid and semi-arid regions. Through targeted human intervention, it is possible to enhance carbon sequestration in these areas, contributing to the mitigation of global climate change.

Carbon Sequestration and Landscape Influences in Urban Greenspace Coverage Variability: A High-Resolution Remote Sensing Study in Luohe, China

Urbanization has significantly altered urban landscape patterns, leading to a continuous reduction in the proportion of green spaces. As critical carbon sinks in urban carbon cycles, urban green spaces play an indispensable role in mitigating climate change. This study aims to evaluate the carbon capture and storage potential of urban green spaces in Luohe, China, and identify the landscape factors influencing carbon sequestration. The research combines on-site data collection with high-resolution remote sensing, utilizing the i-Tree Eco model to estimate carbon sequestration rates across areas with varying levels of greenery. The study reveals that the carbon sequestration capacity of urban green spaces in Luohe City is 1.30 t·C·ha−1·yr−1. Among various vegetation indices, the Enhanced Vegetation Index (EVI) explains urban green space carbon sequestration most effectively through an exponential model (R2 = 0.65, AIC = 136.5). At the city-wide scale, areas with higher greening rates, better connectivity, and more complex edge morphology exhibit superior carbon sequestration efficiency. The explanatory power of key landscape indices on carbon sequestration is 78% across the study area, with variations of 71.5%, 62%, and 84.9% for low, medium, and high greening rate areas, respectively. Moreover, when greening rates reach a certain threshold, maintaining and optimizing the quality of existing green spaces becomes more critical than simply expanding the green area. These insights provide valuable guidance for urban planners and policymakers on enhancing the ecological functions of urban green spaces during urban development.

Net‐Zero Transition Pathways in Belt and Road Economies: Insights From Threshold Effects and Heterogeneous Analysis

ABSTRACTGiven the pressing need for economies to mitigate climate change and champion carbon neutrality, this study investigates the threshold effects of financial development and foreign direct investment (FDI) on carbon dioxide (CO₂) emissions in Sub‐Saharan Africa (SSA) within the Belt and Road Initiative (BRI) bloc, taking into account the moderating role of the regulatory environment. Drawing on the environmental Kuznets curve and the pollution haven hypothesis, the study utilizes the dynamic generalized method of moments (GMM) modeling, proposed by Arellano and Bover, to analyze panel data from 37 SSA countries spanning 1990–2022. The findings reveal that financial development in the banking, financial, and private sectors, along with FDI outflows, is associated with a reduction in CO₂ emissions. Conversely, FDI inflows are linked to increased CO₂ emissions. A curvilinear relationship is observed, where initial increases in financial development and FDI correlate with higher emissions, which decline beyond a certain threshold. Stronger regulations enhance the positive impact of financial development on reducing CO₂ emissions. Finally, the findings show a significant heterogeneous effect across the SSA regional blocs. These findings underscore the critical need for implementing stringent environmental regulations and promoting sustainable financial practices to mitigate negative environmental impact. This research provides both theoretical and practical insights into fostering a carbon neutrality agenda and advancing Sustainable Development Goal 13.