Climate Change Mitigation Efforts Research Articles

Spatial heterogeneity and driving mechanisms of carbon storage in the urban agglomeration within complex terrain: Multi-scale analyses under localized SSP-RCP narratives

Ecological carbon storage is critical to climate change mitigation by absorbing CO2 from the atmosphere. Mountainous ecosystems, crucial carbon reservoirs, are experiencing persistent carbon storage declines, yet management mechanisms targeting such complex terrains remain challenging. Focusing on the Sichuan-Chongqing urban agglomeration, interwoven as mountains and basins, we employed the MPI-coupled (Improved Markov-PLUS-InVEST) model and localized "socio-economic-climatic" narratives to simulate the dynamic evolution of carbon storage over extended periods. Diverse impacts and gradient effects of social, economic, and natural (incl. terrain, climate) drivers on carbon storage are further examined. The findings revealed that: (1) The most carbon storage growth projected from 2030 to 2060 reaches 1.53 %, but of which localized SSP5–8.5 narrative the urbanization encroached upon the undeveloped mountainous, severely impairing carbon sequestration by 81.5Tg. (2) In addition to landscape types, carbon storage exhibits complex spatial responses to economic development, population size, and terrain with an inverted U-shaped relationship. The proposed methodology offers more accurate carbon storage estimates and assists policy-makers in similar terrains to effectively manage the spatial heterogeneity of carbon storage. This study facilitates the implementation of tailored ecological conservation through urban zoning, thus contributing to enhanced subregional climate change mitigation efforts globally.

Tree demographic strategies largely overlap across succession in Neotropical wet and dry forest communities.

Secondary tropical forests play an increasingly important role in carbon budgets and biodiversity conservation. Understanding successional trajectories is therefore imperative for guiding forest restoration and climate change mitigation efforts. Forest succession is driven by the demographic strategies-combinations of growth, mortality and recruitment rates-of the tree species in the community. However, our understanding of demographic diversity in tropical tree species stems almost exclusively from old-growth forests. Here, we assembled demographic information from repeated forest inventories along chronosequences in two wet (Costa Rica, Panama) and two dry (Mexico) Neotropical forests to assess whether the ranges of demographic strategies present in a community shift across succession. We calculated demographic rates for >500 tree species while controlling for canopy status to compare demographic diversity (i.e., the ranges of demographic strategies) in early successional (0-30 years), late successional (30-120 years) and old-growth forests using two-dimensional hypervolumes of pairs of demographic rates. Ranges of demographic strategies largely overlapped across successional stages, and early successional stages already covered the full spectrum of demographic strategies found in old-growth forests. An exception was a group of species characterized by exceptionally high mortality rates that was confined to early successional stages in the two wet forests. The range of demographic strategies did not expand with succession. Our results suggest that studies of long-term forest monitoring plots in old-growth forests, from which most of our current understanding of demographic strategies of tropical tree species is derived, are surprisingly representative of demographic diversity in general, but do not replace the need for further studies in secondary forests.

Spatial distribution of CH4 emissions from livestock farming in Poland: a comparison of 2010 and 2020

ABSTRACT Among greenhouse gases (GHGs), methane (CH4) is a major contributor to global warming. Agriculture accounts for about 40% of CH4 emissions, with livestock being a crucial source. CH4 emissions from livestock primarily arise during enteric fermentation and manure management in livestock. This study aims to estimate Poland’s CH4 emissions from enteric fermentation and manure management in 2010 and 2020 at the municipal level (LAU-2). Data from the National Agricultural Census (NAC) and the UNFCCC National Inventory Report (NIR) for 2010 and 2020 were used for the analysis. The results reveal a slight overall increase in total CH4 emissions from livestock farming in Poland over the decade. The highest emissions were observed in regions where livestock farming was predominant, while significant changes in emissions occurred in regions experiencing considerable livestock production growth. Conversely, the lowest emissions were found in areas where the decrease in livestock population was most prominent. Understanding the spatial distribution of CH4 emissions from livestock farming at the municipal level is essential for effective climate change mitigation efforts. This study highlights the importance of continuous monitoring and analysis of livestock farming in Poland to assess its impact on GHG emissions and facilitate informed policy-making for sustainable agricultural practices.

Association between ocean literacy and climate change mitigation efforts in the Republic of Korea

Promoting ocean literacy can lead to numerous benefits, such as improved marine ecosystem comprehension, responsible environmental behavior, and support for marine conservation policies. However, past research focused on the contribution of ocean literacy to the public’s support for marine policy and management, failing to expand the concept to broader issues like climate change. This study aims to assess people’s ocean literacy and its association with climate change mitigation behaviors, using a nationally representative survey that collected 2000 responses in the Republic of Korea in November 2022. The results provide evidence that people with a better understanding of the ocean are more likely to follow recommendations for climate change mitigation, including reducing disposable products, using public transportation, and using eco-friendly products. This association was robust against varying levels of climate change risk perception. These findings imply that promoting public ocean literacy can be an effective strategy for encouraging people to engage in efforts to mitigate climate change in their daily lives.

Subsetting reduces the error of MIR spectroscopy models for soil organic carbon prediction in the U.S. Great Plains

High demand for soil organic carbon data to support soil health and climate change mitigation efforts must be met with rapid, accurate, and inexpensive measurement methods. Mid-infrared spectroscopy shows promise as an alternative to conventional soil carbon analysis; however, its practicality depends on the construction and efficient use of soil spectral libraries. Subsetting, a calibration optimization technique, has potential to reduce model prediction errors. Nevertheless, the effectiveness of different subsetting criteria has yet to be well explored. This study assessed whether several subsetting criteria would result in calibration models with reduced error in the prediction of soil organic carbon content compared to models constructed from a full spectral dataset. A mid-infrared spectral library composed of Nebraska and Kansas soil samples was subset by (i) a nested wetland criterion, (ii) soilscapes, (iii) presence or absence of carbonates, and (iv) a combination of soilscape and carbonates. Partial least squares regression was used to construct all calibration models. Predictive performance of the subset models was compared to that of their corresponding full set model using several statistical metrics. Subsetting by wetlands reduced model error by 22 and 56%. Subsetting by soilscape yielded a 13 to 55% reduction in model error, while presence or absence of carbonates reduced model error by 21 and 46%. Five of the eight combination soilscape and carbonate subset models reduced model error by 14 to 51%. Overall, subsetting by soilscape or carbonate presence proved effective in improving model performance, with combination subsets proving beneficial under specific calibration set conditions.

Mapping sub-surface distribution of soil organic carbon stocks in South Africa's arid and semi-arid landscapes: Implications for land management and climate change mitigation

Soil organic carbon (SOC) stocks are critical for land management strategies and climate change mitigation. However, understanding SOC distribution in South Africa's arid and semi-arid regions remains a challenge due to data limitations, and the complex spatial and sub-surface variability in SOC stocks driven by desertification and land degradation. Thus, to support soil and land-use management practices as well as advance climate change mitigation efforts, there is an urgent need to provide more precise SOC stock estimates within South Africa's arid and semi-arid regions. Hence, this study adopted remote-sensing approaches to determine the spatial sub-surface distribution of SOC stocks and the influence of environmental co-variates at four soil depths (i.e., 0-30 cm, 30-60 cm, 60-100 cm, and 100-200 cm). Using two regression-based algorithms, i.e., Extreme Gradient Boosting (XGBoost) and Random Forest (RF), the study found the former (RMSE values ranging from 7.12 t/ha to 29.55 t/ha) to be a superior predictor of SOC in comparison to the latter (RMSE values ranging from 7.36 t/ha to 31.10 t/ha). Nonetheless, both models achieved satisfactory accuracy (R2 ≥ 0.52) for regional-scale SOC predictions at the studied soil depths. Thereafter, using a variable importance analysis, the study demonstrated the influence of climatic variables like rainfall and temperature on SOC stocks at different depths. Furthermore, the study revealed significant spatial variability in SOC stocks, and an increase in SOC stocks with soil depth. Overall, these findings enhance the understanding of SOC dynamics in South Africa's arid and semi-arid landscapes and emphasizes the importance of considering site specific topo-climatic characteristics for sustainable land management and climate change mitigation. Furthermore, the study offers valuable insights into sub-surface SOC distribution, crucial for informing carbon sequestration strategies, guiding land management practices, and informing environmental policies within arid and semi-arid environments.

The European Union Climate Diplomacy: Evolving Practices in a Changing Geopolitical Context

Summary The European Union (EU) has systematically promoted global climate change mitigation and adaptation efforts. Since the 1990s, despite varying success in international climate negotiations, it has sought to take a leadership role in global climate politics. Internal consolidation of environmental and climate policies has enhanced EU policy coherence and strengthened its ability to influence international efforts to mitigate climate change. Globally, however, the picture is marred by geopolitical competition, rendering the context of global climate politics less propitious for the EU’s climate leadership. This article examines how the EU’s climate diplomacy is adapting to an increasingly complex international context. It finds that while the EU climate action is still premised on the deep-seated beliefs of the EU’s ambitious approach to climate, the practices of EU climate diplomacy have adapted to a changing geopolitical context. This evolution is traced through a set of key diplomatic practices: narration, co-ordination, outreach and mainstreaming.

Spatiotemporal pattern of NPP and its response to climatic factors in the Yangtze River Economic Belt

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

Driving Factors and Spatial Distribution of Aboveground Biomass in the Managed Forest in the Terai Region of Nepal

Above-ground biomass (AGB) is affected by numerous factors, including topography, climate, land use, or tree/forest attributes. Investigating the distribution and driving factors of AGB within the managed forests in Nepal is crucial for developing effective strategies for climate change mitigation, and sustainable forest management and conservation. A total of 110 field plots (circular 0.02 ha plots with a 9 m radius), and airborne laser scanning (ALS)-light detection and ranging (LiDAR) data were collected in 2021. The random forest (RF) model was employed to predict the AGB at a 30 m × 30 m resolution based on 32 LiDAR metrics derived from ALS returns. The study assessed the relationships between the AGB distribution and nine independent variables using statistical techniques like the random forest model and partial dependence plots. Results showed that the mean value of the estimated AGB was 120 tons/ha, ranging from 0 to 446.42 tons/ha. AGB showed higher values in the northeast and southeast regions, gradually decreasing towards the northwest. Land use land cover, mean annual temperature, and mean annual precipitation were identified as the primary factors influencing the variability in AGB distribution, accounting for 64% of the variability. Elevation, slope, and distance from rivers were positively correlated with AGB, while proximity to roads had a negative correlation. The increase in precipitation and temperature contributed to the initial rise in AGB, but beyond a certain lag, these variables led to a decline in AGB. This study showed the efficiency of the random forest model and partial dependence plots in examining the relationship between the AGB and its driving factors within managed forests. The study highlights the importance of understanding the AGB driving factors and utilizing LiDAR data for informed decisions regarding the region’s sustainable forest management and climate change mitigation efforts.

Relevance of population mobility for climate change mitigation

Population mobility and immobility are depicted prominently in the climate change adaptation literature either as maladaptation, or failure to adapt, or as a key strategy for adaptation in place or elsewhere. On the other hand, the relevance of population mobility in the context of climate change mitigation has not been highlighted to the same extent as, for example, population growth and fertility. And yet, as the outcomes of people moving around – sometimes in unexpected ways because of local combinations of policies, contexts and shocks – population mobility patterns, trends and levels could both facilitate and constrain climate change mitigation efforts. In this brief note, I suggest that climate change mitigation strategies and actions need to take into account their potential interactions with population mobility because it is a key component of population growth, population distribution and urbanisation trends, as well as a potential contributor to behavioural change.

Seagrass Community Structure and Ecosystem Carbon Stocks Along the Shoreline of Semujur Island, Bangka Belitung Province, Indonesia

Seagrass meadows serve as vital blue carbon ecosystems, sequestering significant amounts of CO2 and playing a crucial role in climate change mitigation. Semujur Island, located in the Bangka Belitung Province, exemplifies numerous small Indonesian islands boasting extensive seagrass meadows lining their shores. This research seeks to (1) describe the community structure of seagrass on Semujur Island, (2) assess the carbon storage within the seagrass ecosystem, and (3) analyze the relationship between seagrass community structure and carbon reserves across three distinct sites. According to the results of this study, there are eight species of seagrass on Semujur Island, i.e., Cymodocea rotundata, Enhalus acoroides, Halodule uninervis, Halophila ovalis, Oceana serrulata, Syringodium isoetifolium, Thalassia hemprichii, and Thalassodendron ciliatum. Diversity indices varied among sites, ranging from 1.48 to 1.72. Species evenness indices varied between 0.83 and 0.92, while dominance indices varied between 0.20 and 0.28. The highest estimated carbon stock was obtained at the site dominated by the species H. uninervis (75.11 MgC/ha); followed by the site dominated by T. hemprichii (50.55 MgC/ha). The correlation between seagrass community structure, including density and coverage, and carbon stocks demonstrated a moderate positive correlation, with coefficients of 0.430 and 0.528, respectively (p&lt;0.05). This research highlights the significance of integrating ecological dynamics into the management of seagrass ecosystems to enhance climate change mitigation efforts. Additionally, it offers valuable data as a reference for the restoration and conservation of seagrass ecosystems.

Analyzing the Performances and Efficiencies of European Electric Vehicles in the European Union Market Using Decision Analysis Methods

Concerns about the environment have grown worldwide as carbon emissions, one of the primary drivers of global warming, continue to rise. As the transportation industry is one of the most greenhouse-gas-emitting sectors in the European Union (EU), the need for environmentally friendly solutions has been increasing progressively. In this regard, electric vehicles (EVs) play an important part in mitigating some of the adverse effects of road transportation on human health, the environment, and climate. Therefore, the popularity of electric vehicles in the EU has recently increased significantly because of climate change mitigation efforts. In this paper, we aim to analyze and compare the performance of European EVs with multi-criteria decision-making (MCDM) methods, namely preference selection index (PSI) and axial-distance-based aggregated measurement (ADAM) techniques, which do not need the criteria weights for measurement and a novel three-dimensional evaluation technique. The results of both MCDM methods reveal that the EVs of the Tesla Inc. and Geely Group models are found to be the best-performing vehicles. We also investigate the efficiency of the European EV market by the super-efficiency data envelopment analysis (DEA) technique, which enables us to evaluate among efficient units. The efficiency scores indicate that five EVs from three different manufacturer groups obtain efficiency levels. To the best of our knowledge, European EV market evaluation by integrated and comparative analysis has not been encountered for the EU on a group basis. The suggested MCDM and DEA techniques can benefit stakeholders while assessing the European EV market.

Net-Zero Heroes? Climate Change Mitigation Efforts and Strategies across Australian Group-of-Eight Universities

Businesses are increasingly declaring their operations to be “carbon neutral” or “net-zero”. But how real are these claims? We investigated the climate mitigation efforts of the eight leading universities in Australia and discovered that the actual emission reductions lag behind the net-zero rhetoric. In the last ten years, most universities increased energy consumption, while reported emissions plateaued. The energy consumption and greenhouse gas emissions of Group-of-Eight (Go8) universities were influenced by size and population growth, climate of the campus location, and energy efficiencies. The Go8 universities experienced, on average, a 25% increase in student numbers in the last decade, and most increased their energy consumption. However, Scope 1 (direct emissions) and Scope 2 (emissions from electricity consumption) remained stable for most universities from 2011 to 2019 and decreased on a per-capita basis, indicating some level of improved efficiencies. Almost all Go8 universities have net-zero commitments and aim to achieve this by similar measures: power purchase agreements (PPAs) for electricity consumption, and carbon offsets for remaining emissions. Most universities lack a strategy for direct or measurable targets regarding energy or emissions reductions along their value chain. Unlike the UK or other countries, Australia has no standardised emission reporting requirements for Scope 3 emissions (other indirect emissions). This has led to rudimentary and haphazard reporting, limiting comparability between universities. Only one university had a more complete Scope 3 inventory, and these Scope 3 emissions were five times greater than their combined Scope 1 and 2 emissions, indicating a potential for substantial under-reporting of emissions. This highlights the need for more rigorous, consistent, and sector-specific emissions accounting, especially on indirect emissions, and for an overhaul of net-zero accreditation.

Enhanced CO2 uptake of the coastal ocean is dominated by biological carbon fixation

Observational reconstructions indicate a contemporary increase in coastal ocean CO2 uptake. However, the mechanisms and their relative importance in driving this globally intensifying absorption remain unclear. Here we integrate coastal carbon dynamics in a global model via regional grid refinement and enhanced process representation. We find that the increasing coastal CO2 sink is primarily driven by biological responses to climate-induced changes in circulation (36%) and increasing riverine nutrient loads (23%), together exceeding the ocean CO2 solubility pump (41%). The riverine impact is mediated by enhanced export of organic carbon across the shelf break, thereby adding to the carbon enrichment of the open ocean. The contribution of biological carbon fixation increases as the seawater capacity to hold CO2 decreases under continuous climate change and ocean acidification. Our seamless coastal ocean integration advances carbon cycle model realism, which is relevant for addressing impacts of climate change mitigation efforts.

Nexus between Urban Circular Economies and Sustainable Development Goals: A Systematic Literature Review

Since the definition and publication of the 2030 Agenda in 2015, addressing Sustainable Development Goals (SDGs) has been pivotal in guiding carbon neutrality and sustainable solutions in urban development. Despite the passage of nine years, tangible successes in achieving the SDGs have been limited, underscoring the critical need for innovative approaches to fostering energy performance and reducing carbon emissions. This study advocates for adopting circular economy principles as a strategic pathway to mitigate environmental, social, and economic challenges and promote sustainable, net-zero-energy solutions. Through a systematic literature review spanning multiple databases, this research underscores the synergy between urban circular economies (UCEs) and the SDGs, with a particular focus on sustainable solutions, resource use circularity in construction, and renewable energy integration. By setting stringent eligibility criteria, this review captures a wide array of perspectives, providing a comprehensive analysis that bridges the gap between urban sustainability, renewable energy adoption, and climate change mitigation efforts. The analysis of 23 selected papers reveals a substantial linkage between UCE practices and the advancement of SDGs, highlighting the pivotal roles of responsible consumption, resource efficiency, and regenerative practices in achieving co-benefits through policy and regulatory frameworks towards carbon neutrality. The findings recommend implementing a holistic approach that integrates urban sustainability with circular economy principles, offering a structured insight into the potential of UCEs in fostering a sustainable transition in line with the 2030 Agenda for Sustainable Development.

Diagnosis of the main forest hubs in Paraná to mitigate climate change

In order to fulfill Brazil’s climate change mitigation goals and uphold its environmental commitments, it is crucial to have knowledge of volume, biomass, and carbon stocks of its native forests. This study aimed to evaluate the potential of the forest hubs from the state of Paraná, Brazil, towards climate change mitigation efforts. The Guarapuava hub possesses the largest area of native forests and the largest stored stock of volume, biomass, carbon, and carbon dioxide equivalent, while Sengés has the smallest area and the lowest stocks. Apart from Telêmaco Borba, which has only 12% of its native forests within Conservation Units, all the other hubs have more than 35% of their native area inside these locations. This emphasizes the significance of establishing and maintaining these Units. The total wood volume found was 276,136,486 m³, the total biomass 367,233,059 Mg, the total carbon 173,652,842 Mg, and the carbon dioxide equivalent 636,727,087 Mg. These values indicate that native forests can help mitigate climate change by sequestering carbon dioxide from the atmosphere.

Quantifying the role of saltmarsh as a vulnerable carbon sink: A case study from Northern Portugal

Saltmarshes play a crucial role in carbon sequestration and storage, although they are increasingly threatened by climate change-induced sea level rise (SLR). This study assessed the potential variation in Blue Carbon stocks across regional and local scales, and estimated their economic value and potential habitat loss due to SLR based on the IPCC AR6 scenarios for 2050 and 2100 in three estuarine saltmarshes in northern Portugal, the saltmarshes of the Minho, Lima and Cávado estuaries. The combined carbon stock of these saltmarshes was 38,798 ± 2880 t of organic carbon, valued at 3.96 ± 0.38 M€. Local and regional differences in carbon stocks were observed between common species, with the cordgrass Spartina patens and the reed Phragmites australis consistently showing higher values in the Lima saltmarsh in some of the parameters. Overall, the Lima saltmarsh had the highest total carbon per species cover, with S. patens showing the highest values among common species. Bolboschoenus maritimus had the highest values in the Minho saltmarsh, while the other species presented a similar carbon storage capacity. Potential habitat loss due to SLR was most evident in the Cávado saltmarsh over shorter timescales, with a significant risk of inundation even for median values of SLR, while the Lima saltmarsh was shown to be more resistant and resilient. If habitat loss directly equates to carbon loss within these saltmarshes, projected CO2 emissions may range from 22,000 to 43,449 t by 2050 and 33,000 to 130,000 t by 2100 (under the IPCC SSP5–8.5 scenario). The study shows the importance of Blue Carbon site-specific estimates, acknowledging the potential future repercussions from habitat loss due to SLR. It emphasizes the need to consider local and regional variability in Blue Carbon stocks assessments and highlights the critical importance of preserving and rehabilitating these ecosystems to ensure their continued efficacy as vital carbon sinks, thereby contributing to climate change mitigation efforts.

Ruminating on soil carbon: Applying current understanding to inform grazing management.

Among options for atmospheric CO2 removal, sequestering soil organic carbon (SOC) via improved grazing management is a rare opportunity because it is scalable across millions of globally grazed acres, low cost, and has high technical potential. Decades of scientific research on grazing and SOC has failed to form a cohesive understanding of how grazing management affects SOC stocks and their distribution between particulate (POM) and mineral-associated organic matter (MAOM)-characterized by different formation and stabilization pathways-across different climatic contexts. As we increasingly look to grazing management for SOC sequestration on grazinglands to bolster our climate change mitigation efforts, we need a clear and collective understanding of grazing management's impact on pathways of SOC change to inform on-the-ground management decisions. We set out to review the effects of grazing management on SOC through a unified plant ecophysiology and soil biogeochemistry conceptual framework, where elements such as productivity, input quality, soil mineral capacity, and climate variables such as aridity co-govern SOC accumulation and distribution into POM and MAOM. To maximize applicability to grazingland managers, we discuss how common management levers that drive overall grazing pattern, including timing, intensity, duration, and frequency can be used to optimize mechanistic pathways of SOC sequestration. We discuss important research needs and measurement challenges, and highlight how our conceptual framework can inform more robust research with greater applicability for maximizing the use of grazing management to sequester SOC.

Estimation and economic valuation of stands carbon in Tubokarto Community Forest, Pracimantoro District, Wonogiri Regency

Climate change mitigation efforts can be carried out by reducing CO2 gas emissions through the use of the forestry sector, which is expected to increase carbon sequestration. Community forests are composed of stands that have the potential to store carbon stocks so that they can play a role in achieving FOLU (Forest and Other Land Use) Net Sink 2030. This study aims to estimate biomass, carbon storage, and carbon economic value in Tubokarto community forest stands, Pracimantoro, Wonogiri. The method in this study used systematic sampling with random start to measure the DBH and tree height with a sampling intensity of 2% and made 50 sample plots measuring 0.04 ha. The carbon storage value is calculated based on the conversion of 47% of biomass estimated by allometric equations. The results showed that the community forest area of Tubokarto has a total biomass potential of 79.69 tons/ha, total carbon storage of 37.45 tons/ha, and a carbon economic value of Rp 14,605,787.19/ha or if multiplied by the total area of the community forest is Rp 1,329,126,634. The potential and economic valuation of carbon storage in community forests provides an opportunity to achieve sustainable development goals and reduction in carbon emissions.

Community-Centred Energy Planning: Within and beyond Administrative Borders

Since its introduction in 2008, the Covenant of Mayors (CoM) has helped municipalities meet EU Climate and Energy goals and thresholds through Sustainable Energy and Climate Action Planning (SECAP). The engagement of local communities holds particular significance for smaller municipalities, which can leverage collective strategies to mutually contribute to climate change mitigation efforts, thereby optimizing results. In the realm of communities, Renewable Energy Communities (REC) have emerged as a potential tool for SECAP implementation, but although they target common objectives and constitute subsequent steps of the same planning flow, their interaction is poor. This study aimed to investigate similar tools’ integration by focusing on administrative and technical boundaries whose overlaps often hinder their interoperability. To this aim, the Italian framework was chosen due to the representation of its signatories in the CoM. Municipalities that have undertaken actions related to RECs within their Joint SECAPs have been compared through an analysis of the CoM datasets. Finally, two Italian case studies were selected to evaluate the impact of different territorial and institutional configurations on these initiatives, aiming to face climate change and achieve a green transition. This helped the authors propose practical recommendations and policy implications concerning this kind of community-centred energy planning solution as outlined in the concluding section.