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Societal Impact Statement Human interactions with forests have shaped Earth's climate for millennia and will continue to do so as we target net‐zero emission goals. Accurately characterizing these climate impacts requires making reliable forest carbon data available for forest monitoring and planning. Here, we develop a semi‐automated process for submitting forest carbon measurements from the largest relevant scientific database to the International Panel on Climate Change's Emission Factor Database, which currently has sparse forest carbon data. Building this bridge from scientific research to international policy is an important step towards managing forests in a net‐zero motivated future. Abstract Humans have been influencing Earth's climate via transformative impacts on forests for millennia, and forests are now recognized as critical to climate change mitigation under the Paris Agreement. The efficacy of climate change mitigation planning and reporting depends on quality data on forest carbon (C) stocks and changes. The Emission Factor Database (EFDB) of the International Panel on Climate Change (IPCC) is intended to be a definitive source for such data, but needs comprehensive and well‐documented data to be so. To facilitate submission of forest C estimates from scientific studies to EFDB, we develop and document a process for semi‐automated data submission from the Global Forest C database (ForC v4.0), which is the largest compilation of ground‐based forest C estimates. We then assess the data currently available through ForC and provide recommendations for improving forest data collection, analysis, and reporting. As of September 2024, ForC contained ~19,286 records potentially relevant to EFDB, 1068 of which had been submitted and posted to EFDB. These represented 19% of the total EFDB records for forest land. Records were unevenly distributed across variables and geographic regions. ForC records (37%) reviewed could not be submitted because the original publication lacked required information. In the future, ground‐based forest C estimates should target gaps in the record, and studies should ensure that they report all information necessary for inclusion in EFDB. Given that climate change is rapidly impacting the world's forests, timely reporting of recent estimates will be critical to accurate forest C inventories.

In this study, greenhouse gas emissions caused by natural gas, electricity and diesel fuel consumed within the boundaries of Kütahya 30 August Organized Industrial Zone were calculated and studies were explored for reduction activities. Within the scope of ISO 14064-1 Guidelines and Features Standard for Calculation and Reporting of Greenhouse Gas Emissions and Removal at the Establishment Level” and “ISO 14067 Product Carbon Footprint Calculation Standard”, the amount of greenhouse gases released into the atmosphere was calculated by using the data recorded by the enterprises on a yearly basis. While the direct emissions from natural gas was calculated as 105394.84 tCO2e in 2019, these emissions decreased in 2020 and reached 2019 level again in 2021. Indirect emissions from imported electricity were 64269.12 tCO2e in 2019, while electricity-related emissions increased in 2020 and 2021. Direct emissions from diesel are considerably lower than those from natural gas and electricity in terms of quantity. However, while the emissions from diesel fuel was 74.11 tCO2e in 2019, these emissions decreased by 75.5% in 2020 and reached 29.49 tCO2e in 2021. A large part of the greenhouse gas generated due to both electricity and natural gas consumption originates from an organization operating in the field of tile-ceramic manufacturing and an organization operating in the field of paper-corrugated cardboard manufacturing. There are many organizations in different fields of activity in organized industrial zones. The study has shown that greenhouse gas emissions must be monitored in these regions and it is necessary to determine the source of greenhouse gas emissions, otherwise the proposed reduction methods will not be very effective.

Greenhouse gases trap heat in the atmosphere, causing the Earth’s surface temperature to rise. The main greenhouse gases are carbon dioxide, methane, nitrous oxide, perfluorocarbons, hydrofluorocarbons, and sulfur hexafluoride. Human activities are increasing greenhouse gas concentrations rapidly, which is causing global climate change. Global climate change is increasing environmental and public health problems. To reduce greenhouse gas emissions, it is necessary to identify where the emissions are coming from, develop a plan to reduce them, and then implement and monitor the plan to ensure that emissions are actually reduced. Anthropogenic global climate change has large and increasingly adverse economic effects. Cities emit the most greenhouse gas due to fossil fuel burning and power usage. The four major greenhouse gas emitters are energy, transportation, waste management, and urban land use sectors. Organizations should prepare action plans to lower their greenhouse gas emissions and stop the worst consequences of climate change. These action plans require companies and local authorities to submit their greenhouse gas emissions reports on a yearly basis. A greenhouse gas emissions management system includes several processes and tools created by organizations to understand, measure, monitor, report, and validate their greenhouse gas emissions. Two of the most widely adapted frameworks for greenhouse gases inventory reporting are ISO 14064 and the greenhouse gas protocol. This review paper aims to identify some of the key points of GHG inventory preparation and mitigation strategies.

This study investigated a method for directly estimating methane emissions from rice paddy fields at the field level using drone-based time-series vegetation indices at a town scale. Drone optical and spectral images were captured approximately 15 times from April to November to acquire time-series vegetation indices and optical orthoimages. An empirical regression model validated in previous international studies was applied to calculate cumulative methane emissions throughout the rice cultivation process. Methane emissions were estimated using the vegetation index and yield data were used as input variables for each growth phase. Methane emissions from rice paddies showed maximum values of 309 kg CH4 ha−1, within a 7% range compared to similar studies, and minimum values of 138 kg CH4 ha−1, with differences ranging from 29% to 58%. The average emissions were calculated at 247 kg CH4/ha, revealing slightly lower average values but individual field values within a similar range. The results suggest that drone-based remote sensing technology is an efficient and cost-effective alternative to traditional field measurements for greenhouse gas emission assessments. However, adjustments and validations according to rice varieties and local cultivation environments are necessary. Overcoming these limitations can help establish sustainable agricultural management practices and achieve local greenhouse gas reduction targets.

The Paris Agreement and the European Green Deal set ambitious climate change mitigation goals. In order to achieve these goals and offset the emissions of all other sectors significant additional carbon sequestration is needed in the land use sector. The capacity of the land use sector and especially forests to remove carbon dioxide from the atmosphere is key in climate change mitigation pathways. Well planned forest industry related measures can significantly increase carbon sequestration in living biomass as well as in harvested wood products. In our study we investigated the climate change mitigation effects of forest management systems and nature conservation conducting a Greenhouse Gas Inventory-like analysis on Hungarian forests using a forest management system and protection status specific breakdown and considering only the biomass pool. Our main conclusion was that under similar yield class distribution logging intensity and carbon sequestration are not inversely proportional. We observed that non-protected forests achieve higher net carbon sink under a higher logging intensity. Regarding forest management systems we observed significantly higher net carbon sink under transitional forest management than what was found for all other management systems. Continuous cover management and non-production forest management did not show significantly different carbon fluxes.

Coastal blue carbon plays an important role in the global climate change and carbon cycle. Ecological restoration and market trading can effectively improve coastal blue carbon sink, which is a cost-effective way to achieve carbon neutrality. In order to explore the potential of coastal blue carbon to promote the realization of carbon neutrality, this paper elaborated advantages of developing coastal blue carbon. At the same time, this paper analyzed the problems faced by coastal blue carbon development in system construction and technology development, then put forward the countermeasures and suggestions: improve the policy measures of coastal blue carbon conservation and carbon sink trading, and promote the mechanism construction of land-sea coordination and ecological compensation. Promote the development of blue carbon greenhouse gas inventories and participation in international cooperation. Set up monitoring and assessment pilots to improve carbon sink measurement and accounting methods. Strengthen the scientific research and radical technical bottlenecks.

Abstract Background Five ministries are involved in estimating the greenhouse gas (GHG) inventory in the South Korean land use, land-use change, and forestry (LULUCF) sectors. However, these ministries have not established a consistent land classification standard between land-use categories. Therefore, the GHG inventory is estimated at the approach 1 level with no spatial clarity between land-use categories. Moreover, the settlements category is not estimated because activity data and the spatial scope are lacking. This study proposed a methodology for constructing a land-use change (LUC) matrix in the LULUCF sector for improving approach level and estimating the GHG inventory in the settlements. Result We examined 10 sets of spatiotemporal data in South Korea to construct a LUC matrix. To maintain consistency in the spatial land classification, we constructed a LUC matrix using cadastral maps, which provide useful data for consistent land-use classification in South Korea. The LUC matrix was divided into remaining and land-converted settlements between 2005 and 2019 with estimated areas of 878,393.17 and 203,260.42 ha, respectively. CO2 emissions, according to Intergovernmental Panel Climate Change’s Guideline Tier 1, were estimated at 18.94 MtCO2 for 15 years, with an annual CO2 emission of 1.26 MtCO2 yr−1. CO2 emission by land conversion type was found to be the largest at 16.93 MtCO2 in the case of forest converted to settlements. In addition, the area with the largest CO2 emission density was Sejong-si at 7.59 tCO2/ha. Conclusion Based on reviewing available spatial data in South Korea, it is possible to improve Approach 3, which is more advanced than previous Approach 1 in the settlement category. In addition, the national GHG inventory also can be estimated by our constructed LUC matrix and activity data in this study. Under the many discussions about developing the Approach system, this study can provide in-detail information on developing LUC in South Korea in the settlement category as well as suggesting a methodology for constructing the LUC matrix for countries with similar problems to South Korea.

In South Korea, Agriculture, Forestry, and Other Land Use (AFOLU) collates greenhouse gas (GHG) inventories. However, the settlement category lacks a clear definition of land use and activity data. This study proposed a method for examining the settlement spatial extent and constructing activity data to estimate GHG emissions and absorption as a pilot calculation, as well as to provide data for land use classification. Utilizing cadastral maps (CDMs), settlement spatial extents were determined, with settlements occupying approximately 11% of the total land area in 2019, or 9% excluding overlaps. Activity data for settlements were established through a sampling method and analysis of aerial orthoimages from 2000 and 2019. After removing overlaps with digital forest type maps and smart farm maps, settlement activity data covered approximately 18.47% based on CDMs, or 12.66% excluding overlaps. In 2019, CO2 emissions and absorptions were estimated at 622.16 ktCO2yr−1 based on CDMs and 242.16 ktCO2yr−1, excluding overlaps. To enhance GHG inventory calculation consistency and compliance with TACCC principles, clear spatial extents for settlements must be established. This entails constructing activity data and assessing GHG inventories accordingly. GHG inventory statistics should also inform future nationally determined contributions.

The protection, management and restoration of vegetated ecosystems on land and in the ocean (‘natural climate solutions’) can be a useful strategy for reducing net greenhouse gas emissions to help limit global warming. Their potential contribution to reducing net emissions has led to the development of policies and financial incentives for their protection and restoration. These have in turn created a set of expectations among some stakeholders, and interest in expanding these to encompass other ecosystems. However, there are specific rules about how abatement is calculated in international policy and climate finance, and the frameworks and terminology associated with them are often complex. This can be a barrier to stakeholders who want to leverage the potential of natural climate solutions, sometimes leading to incongruence between realised and anticipated benefits. In this article, we attempt to outline some of the key international policy and carbon market frameworks for coastal ‘blue carbon’ ecosystems, and the extent to which different ecosystems are accommodated. Currently, among the coastal ecosystems, only mangrove forests, seagrass meadows, and tidal marshes are typically considered in international policy and carbon market frameworks. The defining feature of these ecosystems is that the foundation species are plants that grow in sediment (soil). They are the only coastal ecosystems currently included in IPCC guidelines for national greenhouse gas inventories, and in compliance and voluntary carbon markets. There is interest in potentially including other marine ecosystems, such as kelp forests and unvegetated tidal flats, into carbon accounting frameworks, but there are unresolved questions about whether sequestration and storage of carbon by these ecosystems meets the rigorous standards required. Voluntary carbon markets have greater flexibility than mechanisms linked to national greenhouse gas inventories, and so might be early implementers of expanding methods to include other ecosystems. Incorporating coastal ecosystems into national greenhouse gas inventory is a useful action countries can take that will likely help generate incentives for protection and restoration of these important ecosystems.

Waste heat utilization is shown to have the potential to decrease greenhouse gas emissions globally. The purpose of this case study is to illustrate how the utilization of waste heat to decrease municipal boundary greenhouse gas emissions may increase such emissions within wider boundaries. The case study assesses the utilization of waste heat generated by a data center. In this paper, we analyze the implications within Scopes 1-3 of the Greenhouse Gas Protocol together with attributional and consequential life cycle assessment principals. Only Scope 1 showed negative greenhouse gas emission implications. In order to achieve negative Scope 2 emissions, approximately half of the waste heat would need to be utilized, which is the purpose of further site development. In order for negative Scope 3 emission implications, electricity production changes are needed or local municipal replaceable greenhouse gas emissions would need to be much higher.

The Cuajimalpa campus of the Autonomous Metropolitan University (UAM) is located in the western region of Mexico City. In 2016, its global average population (students, faculty and staff) was around 2750 people. Campus policies include sustainability as one of its main aims. To evaluate and eventually reduce the environmental impact of the campus, its greenhouse gas (GHG) inventory was assessed and the carbon footprint was calculated, using the GHG protocol (GHGP): Scope 1: direct GHG emissions; Scope 2: indirect GHG emissions; and Scope 3: other indirect GHG emissions, on a calendar year basis. Scope 1 includes mobile and stationary sources and leakage of refrigerants; Scope 2 includes electrical energy usage; Scope 3 includes consumption of paper, food, water, gases, cleaning products, solvents, wastewater treatment, municipal and hazardous wastes and academic travel. In 2016, the campus produced around 3000 tons of CO2 equivalent, with Scope 1, 2 and 3 accounting for 4%, 24% and 72%, respectively. Emissions analysis by activity indicated 51% for commuting; 24% for electricity usage; 14% for academic travel; 11% for other activities. The inventory will aid the establishment of policies for reduction and mitigation of GHG, resulting in environmental and potential economic benefits.

Greenhouse gas (GHG) inventory has played a fundamental role in providing scientific political-making evidence in mitigation. For a particular case study, Japan offers a positive performance in reducing GHG emissions since an early age, and the GHG Inventory Office of Japan was established in 2002 and is making efforts on publishing both “National GHGs Inventory Report of Japan” and “GHGs Emissions Data of Japan” annually. This paper covers local Japanese inventory development from a global range to a domestic level and offers its general reporting criteria nationwide. Furthermore, through a case study of recalculating 2010 Saga Prefecture’s GHG emission, local inventory methodology is investigated in six GHGs (including CO2, CH4, N2O, HFC, PFC, and SF6) and forestry sectors. In this section, recalculating methodologies, especially regarding calculated fields and basic formulations categorized by GHG types, are introduced in detail. Then, it provides limitations and improvements of the inventory reformation. Further, future research directions are discussed as well. This research exhibits an inventory method at the local scale and offers its improvements by the author to provide some experiences and lessons for the research and mitigation policy-making practices in other parts of the world.

This paper discusses the procedures and results of constructing a greenhouse gas (GHG) emissions inventory for South Africa, using the official national energy balance for 1998. In doing so, the paper offers a snapshot of the South African energy supply and demand profile and encompassing greenhouse gas emissions profiles, disaggregated into 40 economic sectors, for the reference year. For convenience, energy supply and use are reported in both native units and terra joule (TJ), while emissions are expressed in carbon dioxide equivalents and reported in giga-gram (Gg). While carbon dioxide makes an overwhelming contribution to global anthropogenic GHG emissions, the inclusion of methane and nitrous oxide offers considerable richness to the analysis of climate change policies. Applying the energy balances, it was possible to compile a comprehensive emissions inventory using a consistent methodology across all sectors of the economy. The inventory allows the economic analyst to model various economic policies either with fuel as an input to production, or the consumption of fuel or the emissions generated during combustion, as a base of the analysis. The dominant role of coal as a source of energy, with a total primary energy supply (TPES) of 3.3 million TJ or 70 per cent of the total TPES, is clearly shown. Emissions from coal combustion (263 783 Gg of carbon dioxide equivalents or 74.7 per cent of total emissions) are henceforth the largest contributor to total emissions, estimated to be 352 932 Gg carbon dioxide equivalents.

Pig and poultry production in China had experienced considerable changes from 1960 to 2010. The present study aimed to evaluate the effects of these changes on greenhouse gas emission inventories (expressed as CO2 equivalent) from these two sectors. The inventories included methane emissions from enteric fermentation, methane and nitrous oxide production from manure management. The greenhouse gas emissions from these sources in 2010 in pig sector were 17, 62 and 21%, respectively, and that in poultry sector (including chicken, duck, goose and others) were 1, 18 and 81%, respectively. Total CO2 equivalent increased from 1960 to 2010 in both pig (11 582 to 55 564 Gg yr−1) and poultry (1 497 to 14 873 Gg yr−1) sectors. Within poultry sector, emissions from chicken, duck, goose and others accounted for 74, 15, 11 and 0.01% in 2010, respectively. However, during the last 50 years, these emissions continuously reduced when related to production of 1 kg of pork (8.01 to 1.14 kg kg−1), poultry meat (1.19 to 0.37 kg kg−1) and egg (0.47 to 0.33 kg kg−1), which is mainly associated with the continuous improvement in production efficiency in all management systems. These results provide benchmark information for Chinese authorities to develop appropriate policies and mitigation strategies to reduce greenhouse gas emissions from pig and poultry sectors.

Combustion of lignite and coal comprises the most important part of CO2 emissions in the Czech Republic (CR). The IPCC methodology on national greenhouse gas inventories provides default values of emission factors for the basic tier (the simplest level of methodological approach), including those for lignite and coal, which do not represent the specific national conditions. Therefore, this methodology indicates that more accurate country-specific emission factors based on national data should be used for the significant categories of sources, called key categories. This paper presents the results of recent research that was concerned with updating country-specific emission factors, which would be able to accurately describe CO2 emissions from combustion of coal and lignite in the Czech Republic for the whole time period from 1990 to the present year (2016). Development of these factors was based on the evaluation of relevant correlation dependence of emission factor on net calorific value. In addition, the research was supplemented by assessment of relevant country-specific oxidation factors for lignite and coal.

In the context of greenhouse gas emissions, CO2 emissions from fuels are not arising only from combustion of the fuels, but also from non-energy use of fuels. In order to keep the inventory transparent, comparable, accurate, consistent, and complete, it is necessary to carefully assess such emissions in order to neither not omit nor double count them. The paper presents the methodological guidance of non-energy use of fuels given by Intergovernmental Panel on Climate Change (IPCC) 2006 Guidelines. Further, approaches of the Czech Republic, Slovak Republic, and Hungary, three neighboring countries, for reporting CO2 emissions from non-energy use of fuels are presented and discussed.

According to the Intergovernmental Panel on Climate Change(IPCC) guidelines, uncertainty assessment is an important aspect of a greenhouse gas inventory, and effort should be made to incorporate it into the reporting. The goal of this study was to estimate basic wood density (BWD) and its uncertainty for Pinus densiflora (Siebold & Zucc.) in Korea. In this study, P. densiflora forests throughout the country were divided into two regional variants, which were the Gangwon region variant, distributed on the northeastern part of the country, and the central region variant. A total of 36 representative sampling plots were selected in both regions to collect sampletrees for destructive sampling. The trees were selected considering the distributions of tree age and diameter at breast height. Hypothesis testing was carried out to test the BWD differences between two age groups, i.e. age ≥ 20 and < 20, and differences between the two regions. The test suggested that there was no statistically significant difference between the two age classes. On the other hand, it is suggested a strong evidence of a statistically significant difference between regions. The BWD and its uncertainty were0.418 g/cm3 and 11.9% for the Gangwon region, whereas they were 0.471g/ cm3 and 3.8% for the central region. As a result, the estimated BWD for P.densiflora was more precise than the value provided by the IPCC guidelines.

As a part of its obligations under the Climate Convention, the Czech Republic must annually estimate and report its anthropogenic emissions of greenhouse gases. This also applies for the sector of agriculture, which is one of the greatest producers of methane and nitrous oxide emissions. This paper presents the approaches applied to estimate emissions in agricultural sector during the period 1990-2006. It describes the origin and sources of emissions, applied methodology, parameters and emission estimates for the sector of agriculture in the country. The total greenhouse gas emissions reached 7644 Gg CO2 eq. in 2006. About 59% (4479 Gg CO2 eq.) of these emissions has originated from agricultural soils. This quantity ranks agriculture as the third largest sector in the Czech Republic representing 5.3% of the total greenhouse gas emissions (GHG). The emissions under the Czech conditions consist mainly of emissions from enteric fermentation, manure management and agricultural soils. During the period 1990-2006, GHG emissions from agriculture decreased by 50%, which was linked to reduced cattle population and amount of applied fertilizers. The study concludes that the GHG emissions in the sector of agriculture remain significant and their proper assessment is required for sound climate change adaptation and mitigation policies.

The “Allometric, Biomass and Carbon factors” database (ABC factors database) was designed to facilitate the estimation of the biomass carbon stocks of forests in order to support the development and the verification of greenhouse gas inventories in the LULUCF sector (Land Use, Land Use Change and Forestry). The database contains several types of expansion, conversion and combined factors, by various tree species or species groups that can be used to calculate biomass or carbon of forests of Eurasian region from proxy variables (e.g., tree volume) that may come from forest inventories. In addition to the factors, and depending on the information that was available in the cited source, the database indicates: (1) the biomass compartments involved when the factor was developed; and (2) the possible applicability of the factor, e.g. by country or by ecological regions. The applicability of the factors is either suggested by the source itself, or the type of source (e.g. National Greenhouse Gas Inventory Report), or was based on the expert judgement by the compilers of the database. Finally, in order to facilitate the selection of the most appropriate of the data, the web-based interface provides the possibility to compare several factors that may come from different sources. The ABC factors database is freely available at the URL: http://afoludata.jrc.it/data_fs.cfm, in the web site AFOLU-DATA, funded and hosted by the Joint Research Centre (European Commission, DG-JRC).

Although previous studies have quantified carbon dioxide emissions embodied in products traded internationally, there has been limited attention to other greenhouse gases such as methane (CH _4 ) and nitrous oxide (N _2 O). Following IPCC guidelines, we estimate non-CO _2 emissions from beef, pork and chicken produced in 237 countries over the period 1990–2010, and assign these emissions to the country where the meat is ultimately consumed. We find that, between 1990 and 2010, an average of 32.8 Mt CO _2 -eq emissions (using 100 year global warming potentials) are embodied in beef, pork and chicken traded internationally. Further, over the 20 year period, the quantity of CO _2 -eq emissions embodied in traded meat increased by 19%. The largest trade flows of emissions embodied in meat were from Brazil and Argentina to Russia (2.8 and 1.4 Mt of CO _2 -eq, respectively). Trade flows within the European region are also substantial: beef and pork exported from France embodied 3.3 Mt and 0.4 Mt of CO _2 -eq, respectively. Emissions factor of meat production (i.e. CO _2 -eq emissions per kg of meat) produced depend on ambient temperature, development level, livestock category (e.g. cattle, pork, and chicken) and livestock management practices. Thus, trade may result in an overall increase of GHG emissions when meat-consuming countries import meat from countries with a greater emissions intensity of meat production rather than producing the meat domestically. Comparing the emissions intensity of meat production of trading partners, we assess trade flows according to whether they tend to reduce or increase global emissions from meat production.