{"title":"The Greenhouse gas Observations of Biospheric and Local Emissions from the Upper sky (GOBLEU): a mission overview, instrument description, and results from the first flight","authors":"Hiroshi Suto, Akihiko Kuze, Ayako Matsumoto, Tomohiro Oda, Shigetaka Mori, Yohsuke Miyashita, Chiharu Hoshino, Mayumi Shigetoh, Fumie Kataoka, Yasuhiro Tsubakihara","doi":"10.1186/s13021-024-00273-1","DOIUrl":"10.1186/s13021-024-00273-1","url":null,"abstract":"<div><h3>Background</h3><p>The Greenhouse gas Observations of Biospheric and Local Emissions from the Upper sky (GOBLEU) is a new joint project by Japan Aerospace Exploration Agency (JAXA) and ANA HOLDING INC. (ANAHD), which operates ANA flights. GOBLEU aims to visualizes our climate mitigation effort progress in support of subnational climate mitigation by collecting greenhouse gas (GHG) data as well as relevant data for emissions (nitrous dioxide, NO<sub>2</sub>) and removals (Solar-Induced Fluorescence, SIF) from regular passenger flights. We developed a luggage-sized instrument based on the space remote-sensing techniques that JAXA has developed for Japan’s Greenhouse gas Observing SATellite (GOSAT). The instrument can be conveniently installed on a coach-class passenger seat without modifying the seat or the aircraft.</p><h3>Results</h3><p>The first GOBLEU observation was made on the flight from the Tokyo Haneda Airport to the Fukuoka Airport, with only the NO<sub>2</sub> module activated. The collected high-spatial-resolution NO<sub>2</sub> data were compared to that from the TROPOspheric Monitoring Instrument (TROPOMI) satellite and surface NO<sub>2</sub> data from ground-based air quality monitoring stations. While GOBLEU and TROPOMI data shared the major concentration patterns largely driven by cities and large point sources, regardless of different observation times, we found fine-scale concentration pattern differences, which might be an indication of potential room for GOBLEU to bring in new emission information and thus is worth further examination. We also characterized the levels of NO<sub>2</sub> spatial correlation that change over time. The quickly degrading correlation level of GOBLEU and TROPOMI suggests a potentially significant impact of the time difference between CO<sub>2</sub> and NO<sub>2</sub> as an emission marker and, thus, the significance of co-located observations planned by future space missions.</p><h3>Conclusions</h3><p>GOBLEU proposes aircraft-based, cost-effective, frequent monitoring of greenhouse emissions by GOBLEU instruments carried on regular passenger aircraft. Theoretically, the GOBLEU instrument can be installed and operated in most commercially used passenger aircraft without modifications. JAXA and ANAHD wish to promote the observation technique by expanding the observation coverage and partnership to other countries by enhancing international cooperation under the Paris Agreement.</p></div>","PeriodicalId":505,"journal":{"name":"Carbon Balance and Management","volume":"19 1","pages":""},"PeriodicalIF":3.9,"publicationDate":"2024-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://cbmjournal.biomedcentral.com/counter/pdf/10.1186/s13021-024-00273-1","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141995038","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mahendra Doraisami, Grant M. Domke, Adam R. Martin
{"title":"Improving wood carbon fractions for multiscale forest carbon estimation","authors":"Mahendra Doraisami, Grant M. Domke, Adam R. Martin","doi":"10.1186/s13021-024-00272-2","DOIUrl":"10.1186/s13021-024-00272-2","url":null,"abstract":"<div><h3>Background</h3><p>Wood carbon fractions (CFs)—the proportion of dry woody biomass comprised of elemental carbon (C)—are a key component of forest C estimation protocols and studies. Traditionally, a wood CF of 50% has been assumed in forest C estimation protocols, but recent studies have specifically quantified differences in wood CFs across several different forest biomes and taxonomic divisions, negating the need for generic wood CF assumptions. The Intergovernmental Panel on Climate Change (IPCC), in its 2006 “Guidelines for National Greenhouse Gas Inventories”, published its own multitiered system of protocols for estimating forest C stocks, which included wood CFs that (1) were based on the best available literature (at the time) and (2) represented a significant improvement over the generic 50% wood CF assumption. However, a considerable number of new studies on wood CFs have been published since 2006, providing more accurate, robust, and spatially- and taxonomically- specific wood CFs for use in forest C estimation.</p><h3>Main text</h3><p>We argue that the IPCC’s recommended wood CFs and those in many other forest C estimation models and protocols (1) differ substantially from, and are less robust than, wood CFs derived from recently published data-rich studies; and (2) may lead to nontrivial errors in forest C estimates, particularly for countries that rely heavily on Tier 1 forest C methods and protocols (e.g., countries of the Global South with large expanses of tropical forests). Based on previous studies on this topic, we propose an alternative set of refined wood CFs for use in multiscale forest C estimation, and propose a novel decision-making framework for integrating species- and location-specific wood CFs into forest C estimation models.</p><h3>Conclusion</h3><p>The refined wood CFs that we present in this commentary may be used by the IPCC to update its recommended wood CFs for use in forest C estimation. Additionally, we propose a novel decision-making framework for integrating data-driven wood CFs into a wider suite of multitiered forest C estimation protocols, models, and studies.</p></div>","PeriodicalId":505,"journal":{"name":"Carbon Balance and Management","volume":"19 1","pages":""},"PeriodicalIF":3.9,"publicationDate":"2024-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://cbmjournal.biomedcentral.com/counter/pdf/10.1186/s13021-024-00272-2","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141981394","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
James E. Smith, Michael Billmire, Nancy H.F. French, Grant M. Domke
{"title":"Application of the wildland fire emissions inventory system to estimate fire emissions on forest lands of the United States","authors":"James E. Smith, Michael Billmire, Nancy H.F. French, Grant M. Domke","doi":"10.1186/s13021-024-00274-0","DOIUrl":"10.1186/s13021-024-00274-0","url":null,"abstract":"<div><h3>Background</h3><p>Forests are significant terrestrial biomes for carbon storage, and annual carbon accumulation of forest biomass contributes offsets affecting net greenhouse gases in the atmosphere. The immediate loss of stored carbon through fire on forest lands reduces the annual offsets provided by forests. As such, the United States reporting includes annual estimates of direct fire emissions in conjunction with the overall forest stock and change estimates as a part of national greenhouse gas inventories within the United Nations Framework Convention on Climate Change. Forest fire emissions reported for the United States, such as the 129 Tg CO<sub>2</sub> reported for 2022, are based on the Wildland Fire Emissions Inventory System (WFEIS). Current WFEIS estimates are included in the Inventory of U.S. Greenhouse Gas Emissions and Sinks: 1990–2022 published in 2024 by the United States Environmental Protection Agency. Here, we describe WFEIS the fire emissions inventory system we used to address current information needs, and an analysis to confirm compatibility of carbon mass between estimated forest fire emissions and carbon in forest stocks.</p><h3>Results</h3><p>The summaries of emissions from forests are consistent with previous reports that show rates and interannual variability in emissions and forest land area burned are generally greater in recent years relative to the 1990s. Both emissions and interannual variability are greater in the western United States. The years with the highest CO<sub>2</sub> emissions from forest fires on the 48 conterminous states plus Alaska were 2004, 2005, and 2015. In some years, Alaska emissions exceed those of the 48 conterminous states, such as in 2022, for example. Comparison of forest fire emission to forest carbon stocks indicate there is unlikely any serious disconnect between inventory and fire emissions estimates.</p><h3>Conclusions</h3><p>The WFEIS system is a user-driven approach made available via a web browser. Model results are compatible with the scope and reporting needs of the annual national greenhouse gas inventories.</p></div>","PeriodicalId":505,"journal":{"name":"Carbon Balance and Management","volume":"19 1","pages":""},"PeriodicalIF":3.9,"publicationDate":"2024-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://cbmjournal.biomedcentral.com/counter/pdf/10.1186/s13021-024-00274-0","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141981393","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Lingbo Dong, Xueying Lin, Pete Bettinger, Zhaogang Liu
{"title":"How to maximize the joint benefits of timber production and carbon sequestration for rural areas? A case study of larch plantations in northeast China","authors":"Lingbo Dong, Xueying Lin, Pete Bettinger, Zhaogang Liu","doi":"10.1186/s13021-024-00271-3","DOIUrl":"10.1186/s13021-024-00271-3","url":null,"abstract":"<div><h3>Background</h3><p>Implementing large-scale carbon sink afforestation may contribute to carbon neutrality targets and increase the economic benefits of forests in rural areas. However, how to manage planted forests in China to maximize the joint benefits of timber production and carbon sequestration is still unclear. Therefore, the present study quantified the effects of different rotation lengths, thinning treatments, site quality (SCI), stand density (SDI), and management costs on the joint benefits of carbon sequestration and timber production based on a stand-level model system developed for larch plantations in northeast China.</p><h3>Results</h3><p>The performances of the different scenarios on carbon stocks were satisfactory, where the variations in the outcomes of final carbon stocks could be explained by up to 90%. The joint benefits increased significantly with the increases of SDIs and SCIs, regardless of which rotation length and thinning treatments were evaluated. Early thinning treatments decreased the joint benefits significantly by approximately 131.53% and 32.16% of middle- and higher-SDIs, however longer rotations (60 years) could enlarge it by approximately 71.39% and 80.27% in scenarios with and without thinning when compared with a shorter rotation length (40 years). Discount rates and timber prices were the two most important variables affecting joint benefits, while the effects of carbon prices were not as significant as expected in the current trading market in China.</p><h3>Conclusions</h3><p>The management plans that promote longer rotations, higher stand densities, and no thinning treatments can maximize the joint benefits of carbon sequestration afforestation and timber production from larch plantations located in northeast China.</p><h3>Graphical Abstract</h3>\u0000<div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":505,"journal":{"name":"Carbon Balance and Management","volume":"19 1","pages":""},"PeriodicalIF":3.9,"publicationDate":"2024-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11301996/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141892571","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Maximizing tree carbon in croplands and grazing lands while sustaining yields","authors":"Starry Sprenkle-Hyppolite, Bronson Griscom, Vivian Griffey, Erika Munshi, Melissa Chapman","doi":"10.1186/s13021-024-00268-y","DOIUrl":"10.1186/s13021-024-00268-y","url":null,"abstract":"<div><h3>Background</h3><p>Integrating trees into agricultural landscapes can provide climate mitigation and improves soil fertility, biodiversity habitat, water quality, water flow, and human health, but these benefits must be achieved without reducing agriculture yields. Prior estimates of carbon dioxide (CO<sub>2</sub>) removal potential from increasing tree cover in agriculture assumed a moderate level of woody biomass can be integrated without reducing agricultural production. Instead, we used a Delphi expert elicitation to estimate maximum tree covers for 53 regional cropping and grazing system categories while safeguarding agricultural yields. Comparing these values to baselines and applying spatially explicit tree carbon accumulation rates, we develop global maps of the additional CO<sub>2</sub> removal potential of Tree Cover in Agriculture. We present here the first global spatially explicit datasets calibrated to regional grazing and croplands, estimating opportunities to increase tree cover without reducing yields, therefore avoiding a major cost barrier to restoration: the opportunity cost of CO<sub>2</sub> removal at the expense of agriculture yields.</p><h3>Results</h3><p>The global estimated maximum technical CO<sub>2</sub> removal potential is split between croplands (1.86 PgCO<sub>2</sub> yr<sup>− 1</sup>) and grazing lands (1.45 PgCO<sub>2</sub> yr<sup>− 1</sup>), with large variances. Tropical/subtropical biomes account for 54% of cropland (2.82 MgCO<sub>2</sub> ha<sup>− 1</sup> yr<sup>− 1</sup>, SD = 0.45) and 73% of grazing land potential (1.54 MgCO<sub>2</sub> ha<sup>− 1</sup> yr<sup>− 1</sup>, SD = 0.47). Potentials seem to be driven by two characteristics: the opportunity for increase in tree cover and bioclimatic factors affecting CO<sub>2</sub> removal rates.</p><h3>Conclusions</h3><p>We find that increasing tree cover in 2.6 billion hectares of agricultural landscapes may remove up to 3.3 billion tons of CO<sub>2</sub> per year – more than the global annual emissions from cars. These Natural Climate Solutions could achieve the Bonn Challenge and add 793 million trees to agricultural landscapes. This is significant for global climate mitigation efforts because it represents a large, relatively inexpensive, additional CO<sub>2</sub> removal opportunity that works within agricultural landscapes and has low economic and social barriers to rapid global scaling. There is an urgent need for policy and incentive systems to encourage the adoption of these practices.</p></div>","PeriodicalId":505,"journal":{"name":"Carbon Balance and Management","volume":"19 1","pages":""},"PeriodicalIF":3.9,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11293010/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141858697","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Brett J. Butler, Emma M. Sass, Javier G. P. Gamarra, John L. Campbell, Craig Wayson, Marcela Olguín, Oswaldo Carrillo, Ruth D. Yanai
{"title":"Uncertainty in REDD+ carbon accounting: a survey of experts involved in REDD+ reporting","authors":"Brett J. Butler, Emma M. Sass, Javier G. P. Gamarra, John L. Campbell, Craig Wayson, Marcela Olguín, Oswaldo Carrillo, Ruth D. Yanai","doi":"10.1186/s13021-024-00267-z","DOIUrl":"10.1186/s13021-024-00267-z","url":null,"abstract":"<div><h3>Background</h3><p>Reducing Emissions from Deforestation and forest Degradation (REDD+) is a program established under the United Nations Framework Convention on Climate Change (UNFCCC) to reduce carbon emissions from forests in developing countries. REDD+ uses an incentive-based approach whereby participating countries are paid to reduce forest carbon loss and increase carbon storage. Country-level carbon accounting is challenging, and estimates of uncertainty in emission reductions are increasingly required in REDD+ reports. This requirement is hard to meet if countries lack the necessary resources, tools, and capabilities. Some REDD+ programs adjust their payments for the uncertainty reported, which presents a perverse incentive because uncertainties are larger if more sources of uncertainty are reported. We surveyed people involved in REDD+ reporting to assess current capacities and barriers to improving estimates of uncertainty.</p><h3>Results</h3><p>Representatives from 27 countries (44% of REDD+ countries at the time of survey implementation) responded to the survey. Nearly all respondents thought it important to include uncertainty in REDD+ reports, but most felt that the uncertainty reporting by their countries was inadequate. Our independent assessment of reports by these countries to the UNFCCC supported this opinion: Most countries reported uncertainty in activity data (91%) but not in emission factors (4–14%). Few countries use more advanced approaches to estimate uncertainty, such as Monte Carlo and Bayesian techniques, and many respondents indicated that they lack expertise, knowledge, or technical assistance. Other barriers include lack of financial resources and appropriate data. Despite these limitations, nearly all respondents indicated a strong desire to improve estimates of uncertainty in REDD+ reports.</p><h3>Conclusions</h3><p>The survey indicated that people involved in REDD+ reporting think it highly important to improve estimates of uncertainty in forest carbon accounting. To meet this challenge, it is essential to understand the obstacles countries face in quantifying uncertainty so we can identify where best to allocate efforts and funds. Investments in training and resources are clearly needed to better quantify uncertainty and would likely have successful outcomes given the strong desire for improvement. Tracking the efficacy of programs implemented to improve estimates of uncertainty would be useful for making further refinements.</p></div>","PeriodicalId":505,"journal":{"name":"Carbon Balance and Management","volume":"19 1","pages":""},"PeriodicalIF":3.9,"publicationDate":"2024-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://cbmjournal.biomedcentral.com/counter/pdf/10.1186/s13021-024-00267-z","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141785153","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Correction to: Aboveground live tree carbon stock and change in forests of conterminous United States: influence of stand age","authors":"Coeli M. Hoover, James E. Smith","doi":"10.1186/s13021-024-00265-1","DOIUrl":"10.1186/s13021-024-00265-1","url":null,"abstract":"","PeriodicalId":505,"journal":{"name":"Carbon Balance and Management","volume":"19 1","pages":""},"PeriodicalIF":3.9,"publicationDate":"2024-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://cbmjournal.biomedcentral.com/counter/pdf/10.1186/s13021-024-00265-1","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141602633","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Alessia Bono, Giorgio Alberti, Roberta Berretti, Milic Curovic, Vojislav Dukic, Renzo Motta
{"title":"Correction to: The largest European forest carbon stocks are in the Dinaric Alps old-growth forests: comparison of direct measurements and standardised approaches","authors":"Alessia Bono, Giorgio Alberti, Roberta Berretti, Milic Curovic, Vojislav Dukic, Renzo Motta","doi":"10.1186/s13021-024-00266-0","DOIUrl":"10.1186/s13021-024-00266-0","url":null,"abstract":"","PeriodicalId":505,"journal":{"name":"Carbon Balance and Management","volume":"19 1","pages":""},"PeriodicalIF":3.9,"publicationDate":"2024-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11212358/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141454427","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Xinglin Zhu, Jianhua Si, Bing Jia, Xiaohui He, Dongmeng Zhou, Chunlin Wang, Jie Qin, Zijin Liu, Li Zhang
{"title":"Changes of soil carbon along precipitation gradients in three typical vegetation types in the Alxa desert region, China","authors":"Xinglin Zhu, Jianhua Si, Bing Jia, Xiaohui He, Dongmeng Zhou, Chunlin Wang, Jie Qin, Zijin Liu, Li Zhang","doi":"10.1186/s13021-024-00264-2","DOIUrl":"10.1186/s13021-024-00264-2","url":null,"abstract":"<div><p>The changes and influencing factors of soil inorganic carbon (SIC) and organic carbon (SOC) on precipitation gradients are crucial for predicting and evaluating carbon storage changes at the regional scale. However, people’s understanding of the distribution characteristics of SOC and SIC reserves on regional precipitation gradients is insufficient, and the main environmental variables that affect SOC and SIC changes are also not well understood. Therefore, this study focuses on the Alxa region and selects five regions covered by three typical desert vegetation types, <i>Zygophyllum xanthoxylon</i> (ZX), <i>Nitraria tangutorum</i> (NT), and <i>Reaumuria songarica</i> (RS), along the climate transect where precipitation gradually increases. The study analyzes and discusses the variation characteristics of SOC and SIC under different vegetation and precipitation conditions. The results indicate that both SOC and SIC increase with the increase of precipitation, and the increase in SOC is greater with the increase of precipitation. The average SOC content in the 0–300cm profile is NT (4.13 g kg<sup>−1</sup>) > RS (3.61 g kg<sup>−1</sup>) > ZX (3.57 g kg<sup>−1</sup>); The average value of SIC content is: RS (5.78 g kg<sup>−1</sup>) > NT (5.11 g kg<sup>−1</sup>) > ZX (5.02 g kg<sup>−1</sup>). Overall, the multi-annual average precipitation (MAP) in the Alxa region is the most important environmental factor affecting SIC and SOC.</p></div>","PeriodicalId":505,"journal":{"name":"Carbon Balance and Management","volume":"19 1","pages":""},"PeriodicalIF":3.8,"publicationDate":"2024-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://cbmjournal.biomedcentral.com/counter/pdf/10.1186/s13021-024-00264-2","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141330006","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Maridee Weber, Marshall Wise, Patrick Lamers, Yong Wang, Greg Avery, Kendalynn A. Morris, Jae Edmonds
{"title":"Potential long-term, global effects of enhancing the domestic terrestrial carbon sink in the United States through no-till and cover cropping","authors":"Maridee Weber, Marshall Wise, Patrick Lamers, Yong Wang, Greg Avery, Kendalynn A. Morris, Jae Edmonds","doi":"10.1186/s13021-024-00256-2","DOIUrl":"10.1186/s13021-024-00256-2","url":null,"abstract":"<div><h3>Background</h3><p>Achieving a net zero greenhouse gas United States (US) economy is likely to require both deep sectoral mitigation and additional carbon dioxide removals to offset hard-to-abate emissions. Enhancing the terrestrial carbon sink, through practices such as the adoption of no-till and cover cropping agricultural management, could provide a portion of these required offsets. Changing domestic agricultural practices to optimize carbon content, however, might reduce or shift US agricultural commodity outputs and exports, with potential implications on respective global markets and land use patterns. Here, we use an integrated energy-economy-land-climate model to comprehensively assess the global land, trade, and emissions impacts of an adoption of domestic no-till farming and cover cropping practices based on carbon pricing.</p><h3>Results</h3><p>We find that the adoption of these practices varies depending on which aspects of terrestrial carbon are valued. Valuation of all terrestrial carbon resulted in afforestation at the expense of domestic agricultural production. In contrast, a policy valuing soil carbon in agricultural systems specifically indicates strong adoption of no-till and cover cropping for key crops.</p><h3>Conclusions</h3><p>We conclude that under targeted terrestrial carbon incentives, adoption of no-till and cover cropping practices in the US could increase the terrestrial carbon sink with limited effects on crop availability for food and fodder markets. Future work should consider integrated assessment modeling of non-CO<sub>2</sub> greenhouse gas impacts, above ground carbon storage changes, and capital and operating cost considerations.</p></div>","PeriodicalId":505,"journal":{"name":"Carbon Balance and Management","volume":"19 1","pages":""},"PeriodicalIF":3.8,"publicationDate":"2024-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://cbmjournal.biomedcentral.com/counter/pdf/10.1186/s13021-024-00256-2","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141320378","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}