Luis Miguel da Costa, Gustavo André de Araújo Santos, Alan Rodrigo Panosso, Glauco de Souza Rolim, Newton La Scala
{"title":"An empirical model for estimating daily atmospheric column-averaged CO2 concentration above São Paulo state, Brazil","authors":"Luis Miguel da Costa, Gustavo André de Araújo Santos, Alan Rodrigo Panosso, Glauco de Souza Rolim, Newton La Scala","doi":"10.1186/s13021-022-00209-7","DOIUrl":"10.1186/s13021-022-00209-7","url":null,"abstract":"<div><h3>Background</h3><p>The recent studies of the variations in the atmospheric column-averaged CO<sub>2</sub> concentration (<span>({text{X}}_{{{text{CO}}_{{2}} }})</span>) above croplands and forests show a negative correlation between <span>({text{X}}_{{{text{CO}}_{{2}} }})</span>and Sun Induced Chlorophyll Fluorescence (SIF) and confirmed that photosynthesis is the main regulator of the terrestrial uptake for atmospheric CO<sub>2</sub>. The remote sensing techniques in this context are very important to observe this relation, however, there is still a time gap in orbital data, since the observation is not daily. Here we analyzed the effects of several variables related to the photosynthetic capacity of vegetation on <span>({text{X}}_{{{text{CO}}_{{2}} }})</span> above São Paulo state during the period from 2015 to 2019 and propose a daily model to estimate the natural changes in atmospheric CO<sub>2</sub>.</p><h3>Results</h3><p>The data retrieved from the Orbiting Carbon Observatory-2 (OCO-2), NASA-POWER and Application for Extracting and Exploring Analysis Ready Samples (AppEEARS) show that Global Radiation (Qg), Sun Induced Chlorophyll Fluorescence (SIF) and, Relative Humidity (RH) are the most significant factors for predicting the annual <span>({text{X}}_{{{text{CO}}_{{2}} }})</span> cycle. The daily model of <span>({text{X}}_{{{text{CO}}_{{2}} }})</span> estimated from Qg and RH predicts daily <span>({text{X}}_{{{text{CO}}_{{2}} }})</span> with root mean squared error of 0.47 ppm (the coefficient of determination is equal to 0.44, p < 0.01).</p><h3>Conclusion</h3><p>The obtained results imply that a significant part of daily <span>({text{X}}_{{{text{CO}}_{{2}} }})</span> variations could be explained by meteorological factors and that further research should be done to quantify the effects of the atmospheric transport and anthropogenic emissions.</p></div>","PeriodicalId":505,"journal":{"name":"Carbon Balance and Management","volume":"17 1","pages":""},"PeriodicalIF":3.8,"publicationDate":"2022-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://cbmjournal.biomedcentral.com/counter/pdf/10.1186/s13021-022-00209-7","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43616905","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":"Stand carbon storage and net primary production in China’s subtropical secondary forests are predicted to increase by 2060","authors":"Jia Jin, Wenhua Xiang, Yelin Zeng, Shuai Ouyang, Xiaolu Zhou, Yanting Hu, Zhonghui Zhao, Liang Chen, Pifeng Lei, Xiangwen Deng, Hui Wang, Shirong Liu, Changhui Peng","doi":"10.1186/s13021-022-00204-y","DOIUrl":"10.1186/s13021-022-00204-y","url":null,"abstract":"<div><h3>Background</h3><p>Forest ecosystems play an important role in carbon sequestration, climate change mitigation, and achieving China's target to become carbon (C) neutral by 2060. However, changes in C storage and net primary production (NPP) in natural secondary forests stemming from tree growth and future climate change have not yet been investigated in subtropical areas in China. Here, we used data from 290 inventory plots in four secondary forests [evergreen broad-leaved forest (EBF), deciduous and evergreen broad-leaved mixed forest (DEF), deciduous broad-leaved forest (DBF), and coniferous and broad-leaved mixed forest (CDF)] at different restoration stages and run a hybrid model (TRIPLEX 1.6) to predict changes in stand carbon storage and NPP under two future climate change scenarios (RCP4.5 and RCP8.5).</p><h3>Results</h3><p>The runs of the hybrid model calibrated and validated by using the data from the inventory plots suggest significant increase in the carbon storage by 2060 under the current climate conditions, and even higher increase under the RCP4.5 and RCP8.5 climate change scenarios. In contrast to the carbon storage, the simulated EBF and DEF NPP declines slightly over the period from 2014 to 2060.</p><h3>Conclusions</h3><p>The obtained results lead to conclusion that proper management of China’s subtropical secondary forests could be considered as one of the steps towards achieving China’s target to become carbon neutral by 2060.</p></div>","PeriodicalId":505,"journal":{"name":"Carbon Balance and Management","volume":"17 1","pages":""},"PeriodicalIF":3.8,"publicationDate":"2022-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://cbmjournal.biomedcentral.com/counter/pdf/10.1186/s13021-022-00204-y","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46986822","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":"Uncertainties of soil organic carbon stock estimation caused by paleoclimate and human footprint on the Qinghai Plateau","authors":"Xia Liu, Tao Zhou, Peijun Shi, Yajie Zhang, Hui Luo, Peixin Yu, Yixin Xu, Peifang Zhou, Jingzhou Zhang","doi":"10.1186/s13021-022-00203-z","DOIUrl":"10.1186/s13021-022-00203-z","url":null,"abstract":"<div><h3>Background</h3><p>Quantifying the stock of soil organic carbon (SOC) and evaluating its potential impact factors is important to evaluating global climate change. Human disturbances and past climate are known to influence the rates of carbon fixation, soil physiochemical properties, soil microbial diversity and plant functional traits, which ultimately affect the current SOC storage. However, whether and how the paleoclimate and human disturbances affect the distribution of SOC storage on the high-altitude Tibetan Plateau remain largely unknown. Here, we took the Qinghai Plateau, the main component of the Tibetan Plateau, as our study region and applied three machine learning models (random forest, gradient boosting machine and support vector machine) to estimate the spatial and vertical distributions of the SOC stock and then evaluated the effects of the paleoclimate during the Last Glacial Maximum and the mid-Holocene periods as well as the human footprint on SOC stock at 0 to 200 cm depth by synthesizing 827 soil observations and 71 environmental factors.</p><h3>Results</h3><p>Our results indicate that the vegetation and modern climate are the determinant factors of SOC stocks, while paleoclimate (i.e., paleotemperature and paleoprecipitation) is more important than modern temperature, modern precipitation and the human footprint in shaping current SOC stock distributions. Specifically, the SOC stock was deeply underestimated in near natural ecosystems and overestimated in the strongly human disturbance ecosystems if the model did not consider the paleoclimate. Overall, the total SOC stock of the Qinghai Plateau was underestimated by 4.69%, 12.25% and 6.67% at depths of 0 to 100 cm, 100 to 200 cm and 0 to 200 cm, respectively. In addition, the human footprint had a weak influence on the distributions of the SOC stock. We finally estimated that the total and mean SOC stock at 200 cm depth by including the paleoclimate effects was 11.36 Pg C and 16.31 kg C m<sup>−2</sup>, respectively, and nearly 40% SOC was distributed in the top 30 cm.</p><h3>Conclusion</h3><p>The paleoclimate is relatively important for the accurate modeling of current SOC stocks. Overall, our study provides a benchmark for predicting SOC stock patterns at depth and emphasizes that terrestrial carbon cycle models should incorporate information on how the paleoclimate has influenced SOC stocks.</p></div>","PeriodicalId":505,"journal":{"name":"Carbon Balance and Management","volume":"17 1","pages":""},"PeriodicalIF":3.8,"publicationDate":"2022-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://cbmjournal.biomedcentral.com/counter/pdf/10.1186/s13021-022-00203-z","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42352960","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}
Mercy N. Ndalila, Grant J. Williamson, David M. J. S. Bowman
{"title":"Carbon dioxide and particulate emissions from the 2013 Tasmanian firestorm: implications for Australian carbon accounting","authors":"Mercy N. Ndalila, Grant J. Williamson, David M. J. S. Bowman","doi":"10.1186/s13021-022-00207-9","DOIUrl":"10.1186/s13021-022-00207-9","url":null,"abstract":"<div><h3>Background</h3><p>Uncontrolled wildfires in Australian temperate <i>Eucalyptus</i> forests produce significant smoke emissions, particularly carbon dioxide (CO<sub>2</sub>) and particulates. Emissions from fires in these ecosystems, however, have received less research attention than the fires in North American conifer forests or frequently burned Australian tropical savannas. Here, we use the 2013 Forcett–Dunalley fire that caused the first recorded pyrocumulonimbus event in Tasmania, to understand CO<sub>2</sub> and particulate matter (PM<sub>2.5</sub>) emissions from a severe <i>Eucalyptus</i> forest fire. We investigate the spatial patterns of the two emissions using a fine scale mapping of vegetation and fire severity (50 m resolution), and utilising available emission factors suitable for Australian vegetation types. We compare the results with coarse-scale (28 km resolution) emissions estimates from Global Fire Emissions Database (GFED) to determine the reliability of the global model in emissions estimation.</p><h3>Results</h3><p>The fine scale inventory yielded total CO<sub>2</sub> emission of 1.125 ± 0.232 Tg and PM<sub>2.5</sub> emission of 0.022 ± 0.006 Tg, representing a loss of 56 t CO<sub>2</sub> ha<sup>−1</sup> and 1 t PM<sub>2.5</sub> ha<sup>−1</sup>. The CO<sub>2</sub> emissions were comparable to GFED estimates, but GFED PM<sub>2.5</sub> estimates were lower by a factor of three. This study highlights the reliability of GFED for CO<sub>2</sub> but not PM<sub>2.5</sub> for estimating emissions from <i>Eucalyptus</i> forest fires. Our fine scale and GFED estimates showed that the Forcett–Dunalley fire produced 30% of 2013 fire carbon emissions in Tasmania, and 26–36% of mean annual fire emissions for the State, representing a significant single source of emissions.</p><h3>Conclusions</h3><p>Our analyses highlight the need for improved PM<sub>2.5</sub> emission factors specific to Australian vegetation, and better characterisation of fuel loads, particularly coarse fuel loads, to quantify wildfire particulate and greenhouse gas emissions more accurately. Current Australian carbon accountancy approach of excluding large wildfires from final GHG accounts likely exaggerates Tasmania’s claim to carbon neutrality; we therefore recommend that planned and unplanned emissions are included in the final national and state greenhouse gas accounting to international conventions. Advancing these issues is important given the trajectory of more frequent large fires driven by anthropogenic climate change.</p></div>","PeriodicalId":505,"journal":{"name":"Carbon Balance and Management","volume":"17 1","pages":""},"PeriodicalIF":3.8,"publicationDate":"2022-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://cbmjournal.biomedcentral.com/counter/pdf/10.1186/s13021-022-00207-9","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41947202","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}
Mina Hong, Cholho Song, Moonil Kim, Jiwon Kim, Sle-gee Lee, Chul-Hee Lim, Kijong Cho, Yowhan Son, Woo-Kyun Lee
{"title":"Application of integrated Korean forest growth dynamics model to meet NDC target by considering forest management scenarios and budget","authors":"Mina Hong, Cholho Song, Moonil Kim, Jiwon Kim, Sle-gee Lee, Chul-Hee Lim, Kijong Cho, Yowhan Son, Woo-Kyun Lee","doi":"10.1186/s13021-022-00208-8","DOIUrl":"10.1186/s13021-022-00208-8","url":null,"abstract":"<div><h3>Background</h3><p>Forests are atmospheric carbon sinks, whose natural growth can contribute to climate change mitigation. However, they are also affected by climate change and various other phenomena, for example, the low growth of coniferous forests currently reported globally, including in the Republic of Korea. In response to the implementation of the Paris Agreement, the Korean government has proposed 2030 greenhouse gas roadmap to achieve a Nationally Determined Contribution (NDC), and the forest sector set a sequestration target of 26 million tons by 2030. In this study, the Korean forest growth model (KO-G-Dynamic model) was used to analyze various climate change and forest management scenarios and their capacity to address the NDC targets. A 2050 climate change adaptation strategy is suggested based on forest growth and CO<sub>2</sub> sequestration.</p><h3>Results</h3><p>Forest growth was predicted to gradually decline, and CO<sub>2</sub> sequestration was predicted to reach 23 million tons per year in 2050 if current climate and conditions are maintained. According to the model, sequestrations of 33 million tCO<sub>2</sub> year<sup>−1</sup> in 2030 and 27 million tCO<sub>2</sub> year<sup>−1</sup> in 2050 can be achieved if ideal forest management is implemented. It was also estimated that the current forest management budget of 317 billion KRW (264 million USD) should be twice as large at 722 billion KRW (602 million USD) in the 2030s and 618 billion KRW (516 million USD) in the 2050s to achieve NDC targets.</p><h3>Conclusions</h3><p>The growth trend in Korea's forests transitions from young-matured stands to over-mature forests. The presented model-based forest management plans are an appropriate response and can increase the capacity of Korea to achieve its NDC targets. Such a modeling can help the forestry sector develop plans and policies for climate change adaptation.</p></div>","PeriodicalId":505,"journal":{"name":"Carbon Balance and Management","volume":"17 1","pages":""},"PeriodicalIF":3.8,"publicationDate":"2022-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://cbmjournal.biomedcentral.com/counter/pdf/10.1186/s13021-022-00208-8","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49268597","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":"Substitution impacts of Nordic wood-based multi-story building types: influence of the decarbonization of the energy sector and increased recycling of construction materials","authors":"Tanja Myllyviita, Elias Hurmekoski, Janni Kunttu","doi":"10.1186/s13021-022-00205-x","DOIUrl":"10.1186/s13021-022-00205-x","url":null,"abstract":"<div><h3>Background</h3><p>The building and construction sectors represent a major source of greenhouse gas (GHG) emissions. Replacing concrete and steel with wood is one potential strategy to decrease emissions. On product level, the difference in fossil emissions per functional unit can be quantified with displacement factors (DFs), i.e., the amount of fossil emission reduction achieved per unit of wood use when replacing a functionally equivalent product. We developed DFs for substitution cases representative of typical wood-frame and non-wood frame multi-story buildings in the Nordic countries, considering the expected decarbonization of the energy sector and increased recycling of construction products.</p><h3>Results</h3><p>Most of the DFs were positive, implying lower fossil emissions, if wood construction is favored. However, variation in the DFs was substantial and negative DFs implying higher emissions were also detected. All DFs showed a decreasing trend, i.e., the GHG mitigation potential of wood construction significantly decreases under future decarbonization and increased recycling assumptions. If only the decarbonization of the energy sector was considered, the decrease was less dramatic compared to the isolated impact of the recycling of construction materials. The mitigation potential of wood construction appears to be the most sensitive to the GHG emissions of concrete, whereas the emissions of steel seem less influential, and the emissions of wood have only minor influence.</p><h3>Conclusions</h3><p>The emission reduction due to the decarbonization of the energy sector and the recycling of construction materials is a favorable outcome but one that reduces the relative environmental benefit of wood construction, which ought to be considered in forest-based mitigation strategies. Broadening the system boundary is required to assess the overall substitution impacts of increased use of wood in construction, including biogenic carbon stock changes in forest ecosystems and in wood products over time, as well as price-mediated market responses.</p></div>","PeriodicalId":505,"journal":{"name":"Carbon Balance and Management","volume":"17 1","pages":""},"PeriodicalIF":3.8,"publicationDate":"2022-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://cbmjournal.biomedcentral.com/counter/pdf/10.1186/s13021-022-00205-x","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43365814","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}
Chaerin Park, Sujong Jeong, Moon-Soo Park, Hoonyoung Park, Jeongmin Yun, Sang-Sam Lee, Sung-Hwa Park
{"title":"Spatiotemporal variations in urban CO2 flux with land-use types in Seoul","authors":"Chaerin Park, Sujong Jeong, Moon-Soo Park, Hoonyoung Park, Jeongmin Yun, Sang-Sam Lee, Sung-Hwa Park","doi":"10.1186/s13021-022-00206-w","DOIUrl":"10.1186/s13021-022-00206-w","url":null,"abstract":"<div><h3>Background</h3><p>Cities are a major source of atmospheric CO<sub>2</sub>; however, understanding the surface CO<sub>2</sub> exchange processes that determine the net CO<sub>2</sub> flux emitted from each city is challenging owing to the high heterogeneity of urban land use. Therefore, this study investigates the spatiotemporal variations of urban CO<sub>2</sub> flux over the Seoul Capital Area, South Korea from 2017 to 2018, using CO<sub>2</sub> flux measurements at nine sites with different urban land-use types (baseline, residential, old town residential, commercial, and vegetation areas).</p><h3>Results</h3><p>Annual CO<sub>2</sub> flux significantly varied from 1.09 kg C m<sup>− 2</sup> year<sup>− 1</sup> at the baseline site to 16.28 kg C m<sup>− 2</sup> year<sup>− 1</sup> at the old town residential site in the Seoul Capital Area. Monthly CO<sub>2</sub> flux variations were closely correlated with the vegetation activity (r = − 0.61) at all sites; however, its correlation with building energy usage differed for each land-use type (r = 0.72 at residential sites and r = 0.34 at commercial sites). Diurnal CO<sub>2</sub> flux variations were mostly correlated with traffic volume at all sites (r = 0.8); however, its correlation with the floating population was the opposite at residential (r = − 0.44) and commercial (r = 0.80) sites. Additionally, the hourly CO<sub>2</sub> flux was highly related to temperature. At the vegetation site, as the temperature exceeded 24 ℃, the sensitivity of CO<sub>2</sub> absorption to temperature increased 7.44-fold than that at the previous temperature. Conversely, the CO<sub>2</sub> flux of non-vegetation sites increased when the temperature was less than or exceeded the 18 ℃ baseline, being three-times more sensitive to cold temperatures than hot ones. On average, non-vegetation urban sites emitted 0.45 g C m<sup>− 2</sup> h<sup>− 1</sup> of CO<sub>2</sub> throughout the year, regardless of the temperature.</p><h3>Conclusions</h3><p>Our results demonstrated that most urban areas acted as CO<sub>2</sub> emission sources in all time zones; however, the CO<sub>2</sub> flux characteristics varied extensively based on urban land-use types, even within cities. Therefore, multiple observations from various land-use types are essential for identifying the comprehensive CO<sub>2</sub> cycle of each city to develop effective urban CO<sub>2</sub> reduction policies.</p></div>","PeriodicalId":505,"journal":{"name":"Carbon Balance and Management","volume":"17 1","pages":""},"PeriodicalIF":3.8,"publicationDate":"2022-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://cbmjournal.biomedcentral.com/counter/pdf/10.1186/s13021-022-00206-w","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41753963","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":"Wood Vault: remove atmospheric CO2 with trees, store wood for carbon sequestration for now and as biomass, bioenergy and carbon reserve for the future","authors":"Ning Zeng, Henry Hausmann","doi":"10.1186/s13021-022-00202-0","DOIUrl":"10.1186/s13021-022-00202-0","url":null,"abstract":"<div><h3>Background</h3><p>Wood harvesting and storage (WHS) is a hybrid Nature-Engineering combination method to combat climate change by harvesting wood sustainably and storing it semi-permanently for carbon sequestration. To date, the technology has only been purposefully tested in small-scale demonstration projects. This study aims to develop a concrete way to carry out WHS at large-scale.</p><h3>Results</h3><p>We describe a method of constructing a wood storage facility, named Wood Vault, that can bury woody biomass on a mega-tonne scale in specially engineered enclosures to ensure anaerobic environments, thus preventing wood decay. The buried wood enters a quasi-geological reservoir that is expected to stay intact semi-permanently. Storing wood in many environments is possible, leading to seven versions of Wood Vault: (1) Burial Mound (Tumulus or Barrow), (2) Underground (Pit, Quarry, or Mine), (3) Super Vault, (4) Shelter, (5) AquaOpen or AquaVault with wood submerged under water, (6) DesertOpen or DesertVault in dry regions, (7) FreezeVault in cold regions such as Antarctica. Smaller sizes are also possible, named Baby Vault. A prototype Wood Vault Unit (WVU) occupies 1 hectare (ha, 100 m by 100 m) of surface land, 20 m tall, stores up to 100,000 m<sup>3</sup> of wood, sequestering 0.1 MtCO<sub>2</sub>. A 1 MtCO<sub>2</sub> y<sup>−1</sup> sequestration rate can be achieved by collecting currently unused wood residuals (WR) on an area of 25,000 km<sup>2</sup>, the size of 10 typical counties in the eastern US, corresponding to an average transportation distance of less than 100 km. After 30 years of operation, such a Wood Vault facility would have sequestered 30 MtCO<sub>2</sub>, stored in 300 WVUs, occupying a land surface of 300 ha. The cost is estimated at $10–50/tCO<sub>2</sub> with a mid-point price of $30/tCO<sub>2</sub>. To sequester 1 GtCO<sub>2</sub> y<sup>−1</sup>, wood can be sourced from currently unexploited wood residuals on an area of 9 Mkm<sup>2</sup> forested land (9 million square kilometers, size of the US), corresponding to a low areal harvesting intensity of 1.1 tCO<sub>2</sub> ha<sup>−1</sup> y<sup>−1</sup>. Alternatively, giga-tonne scale carbon removal can be achieved by harvesting wood at a medium harvesting intensity of 4 tCO<sub>2</sub> ha<sup>−1</sup> y<sup>−1</sup> on 3 Mkm<sup>2</sup> of forest (equivalent to increasing current world wood harvest rate by 25%), or harvest on 0.8 Mkm<sup>2</sup> forest restored from past Amazon deforestation at high harvest intensity, or many combinations of these and other possibilities. It takes 1000 facilities as discussed above to store 1 GtCO<sub>2</sub> y<sup>−1</sup>, compared to more than 6000 landfills currently in operation in the US. After full closure of a Wood Vault, the land can be utilized for recreation, agriculture, solar farm, or agrivoltaics. A more distributed small operator model (Baby Vault) has somewhat different operation and economic constraints. A 10 gi","PeriodicalId":505,"journal":{"name":"Carbon Balance and Management","volume":"17 1","pages":""},"PeriodicalIF":3.8,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://cbmjournal.biomedcentral.com/counter/pdf/10.1186/s13021-022-00202-0","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"4002423","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}
Benjamin M. Sleeter, Leonardo Frid, Bronwyn Rayfield, Colin Daniel, Zhiliang Zhu, David C. Marvin
{"title":"Operational assessment tool for forest carbon dynamics for the United States: a new spatially explicit approach linking the LUCAS and CBM-CFS3 models","authors":"Benjamin M. Sleeter, Leonardo Frid, Bronwyn Rayfield, Colin Daniel, Zhiliang Zhu, David C. Marvin","doi":"10.1186/s13021-022-00201-1","DOIUrl":"10.1186/s13021-022-00201-1","url":null,"abstract":"<div><h3>Background</h3><p>Quantifying the carbon balance of forested ecosystems has been the subject of intense study involving the development of numerous methodological approaches. Forest inventories, processes-based biogeochemical models, and inversion methods have all been used to estimate the contribution of U.S. forests to the global terrestrial carbon sink. However, estimates have ranged widely, largely based on the approach used, and no single system is appropriate for operational carbon quantification and forecasting. We present estimates obtained using a new spatially explicit modeling framework utilizing a “gain–loss” approach, by linking the LUCAS model of land-use and land-cover change with the Carbon Budget Model of the Canadian Forest Sector (CBM-CFS3).</p><h3>Results</h3><p>We estimated forest ecosystems in the conterminous United States stored 52.0 Pg C across all pools. Between 2001 and 2020, carbon storage increased by 2.4 Pg C at an annualized rate of 126 Tg C year<sup>−1</sup>. Our results broadly agree with other studies using a variety of other methods to estimate the forest carbon sink. Climate variability and change was the primary driver of annual variability in the size of the net carbon sink, while land-use and land-cover change and disturbance were the primary drivers of the magnitude, reducing annual sink strength by 39%. Projections of carbon change under climate scenarios for the western U.S. find diverging estimates of carbon balance depending on the scenario. Under a moderate emissions scenario we estimated a 38% increase in the net sink of carbon, while under a high emissions scenario we estimated a reversal from a net sink to net source.</p><h3>Conclusions</h3><p>The new approach provides a fully coupled modeling framework capable of producing spatially explicit estimates of carbon stocks and fluxes under a range of historical and/or future socioeconomic, climate, and land management futures.</p></div>","PeriodicalId":505,"journal":{"name":"Carbon Balance and Management","volume":"17 1","pages":""},"PeriodicalIF":3.8,"publicationDate":"2022-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://cbmjournal.biomedcentral.com/counter/pdf/10.1186/s13021-022-00201-1","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"4424936","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":"The default methods in the 2019 Refinement drastically reduce estimates of global carbon sinks of harvested wood products","authors":"Chihiro Kayo, Gerald Kalt, Yuko Tsunetsugu, Seiji Hashimoto, Hirotaka Komata, Ryu Noda, Hiroyasu Oka","doi":"10.1186/s13021-021-00200-8","DOIUrl":"10.1186/s13021-021-00200-8","url":null,"abstract":"<div><h3>Background</h3><p>The stock dynamics of harvested wood products (HWPs) are a relevant component of anthropogenic carbon cycles. Generally, HWP stock increases are treated as carbon removals from the atmosphere, while stock decreases are considered emissions. Among the different approaches suggested by the Intergovernmental Panel on Climate Change (IPCC) for accounting HWPs in national greenhouse gas inventories, the production approach has been established as the common approach under the Kyoto Protocol and Paris Agreement. However, the 24th session of the Conference of the Parties to the United Nations Framework Convention on Climate Change decided that alternative approaches can also be used. The IPCC has published guidelines for estimating HWP carbon stocks and default parameters for the various approaches in the 2006 Guidelines, 2013 Guidance, and 2019 Refinement. Although there are significant differences among the default methods in the three IPCC guidelines, no studies have systematically quantified or compared the results from the different guidelines on a global scale. This study quantifies the HWP stock dynamics and corresponding carbon removals/emissions under each approach based on the default methods presented in each guideline for 235 individual countries/regions.</p><h3>Results</h3><p>We identified relatively good consistency in carbon stocks/removals between the stock-change and the atmospheric flow approaches at a global level. Under both approaches, the methodological and parameter updates in the 2019 Refinement (e.g., considered HWPs, starting year for carbon stocks, and conversion factors) resulted in one-third reduction in carbon removals compared to the 2006 Guidelines. The production approach leads to a systematic underestimation of global carbon stocks and removals because it confines accounting to products derived from domestic harvests and uses the share of domestic feedstock for accounting. The 2013 Guidance and the 2019 Refinement reduce the estimated global carbon removals under the production approach by 15% and 45% (2018), respectively, compared to the 2006 Guidelines.</p><h3>Conclusions</h3><p>Gradual refinements in the IPCC default methods have a considerably higher impact on global estimates of HWP carbon stocks and removals than the differences in accounting approaches. The methodological improvements in the 2019 Refinement halve the global HWP carbon removals estimated in the former version, the 2006 Guidelines.</p></div>","PeriodicalId":505,"journal":{"name":"Carbon Balance and Management","volume":"16 1","pages":""},"PeriodicalIF":3.9,"publicationDate":"2021-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8666044/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39717313","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}