Carbon Balance and Management最新文献

{"title":"Improved aboveground biomass estimation and regional assessment with aerial lidar in California’s subalpine forests","authors":"Sara Winsemius,&nbsp;Chad Babcock,&nbsp;Van R. Kane,&nbsp;Kat J. Bormann,&nbsp;Hugh D. Safford,&nbsp;Yufang Jin","doi":"10.1186/s13021-024-00286-w","DOIUrl":"10.1186/s13021-024-00286-w","url":null,"abstract":"<div><h3>Background</h3><p>Understanding the impacts of climate change on forest aboveground biomass is a high priority for land managers. High elevation subalpine forests provide many important ecosystem services, including carbon sequestration, and are vulnerable to climate change, which has altered forest structure and disturbance regimes. Although large, regional studies have advanced aboveground biomass mapping with satellite data, typically using a general approach broadly calibrated or trained with available field data, it is unclear how well these models work in less prevalent and highly heterogeneous forest types such as the subalpine. Monitoring biomass using methods that model uncertainty at multiple scales is critical to ensure that local relationships between biomass and input variables are retained. Forest structure metrics from lidar are particularly valuable alongside field data for mapping aboveground biomass, due to their high correlation with biomass.</p><h3>Results</h3><p>We estimated aboveground woody biomass of live and dead trees and uncertainty at 30 m resolution in subalpine forests of the Sierra Nevada, California, from aerial lidar data in combination with a collection of field inventory data, using a Bayesian geostatistical model. The ten-fold cross-validation resulted in excellent model calibration of our subalpine-specific model (94.7% of measured plot biomass within the predicted 95% credible interval). When evaluated against two commonly referenced regional estimates based on Landsat optical imagery, root mean square error, relative standard error, and bias of our estimations were substantially lower, demonstrating the benefits of local modeling for subalpine forests. We mapped AGB over four management units in the Sierra Nevada and found variable biomass density ranging from 92.4 to 199.2 Mg/ha across these management units, highlighting the importance of high quality, local field and remote sensing data.</p><h3>Conclusions</h3><p>By applying a relatively new Bayesian geostatistical modeling method to a novel forest type, our study produced the most accurate and precise aboveground biomass estimates to date for Sierra Nevada subalpine forests at 30 m pixel and management unit scales. Our estimates of total aboveground biomass within the management units had low uncertainty and can be used effectively in carbon accounting and carbon trading markets.</p></div>","PeriodicalId":505,"journal":{"name":"Carbon Balance and Management","volume":"19 1","pages":""},"PeriodicalIF":3.9,"publicationDate":"2024-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://cbmjournal.biomedcentral.com/counter/pdf/10.1186/s13021-024-00286-w","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142859462","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":"Land-use change, no-net-loss policies, and effects on carbon dioxide removals","authors":"David N. Wear,&nbsp;Matthew Wibbenmeyer","doi":"10.1186/s13021-024-00287-9","DOIUrl":"10.1186/s13021-024-00287-9","url":null,"abstract":"<div><h3>Background</h3><p>Carbon dioxide removal from the atmosphere (CDR) is a critical component of strategies for restricting global warming to 1.5°C and is expected to come largely from the sequestration of carbon in vegetation. Because CDR rates have been declining in the United States, in part due to land use changes, policy proposals are focused on altering land uses, through afforestation, avoided deforestation, and no-net-loss strategies. Estimating policy effects requires a careful assessment of how land uses interact with forest conditions to determine future CDR.</p><h3>Results</h3><p>We evaluate how alternative specifications of land use-forest condition interactions in the United States affect projections of CDR using a model that mirrors land sector net emission inventories generated by the US government (EPA). Without land use change, CDR declines from 0.826 GT/yr in 2017 to 0.596 GT/yr in 2062 (28%) due to forest aging and disturbances. For a land use scenario that extends recent rates of change, we compare CDR estimated based on net changes in land use (Net Change model) and estimates that separately account for the distinct CDR implications of forest losses and forest gains (Component Change model). The Net Change model, a common specification, underestimates the CDR losses of land use by about 56% when compared with the Component Change models. We also estimate per hectare CDR losses from deforestation and gains from afforestation and find that afforestation gains lag deforestation losses in every ecological province in the US.</p><h3>Conclusions</h3><p>Net Change approaches substantially underestimate the impact of land use change on CDR and should be avoided. Component Change models highlight that avoided deforestation may provide up to twice the CDR benefits as increased afforestation—though preference for one policy over the other would require a cost assessment. The disparities in the CDR impacts of afforestation and deforestation indicate that no-net-loss policies could mitigate some CDR losses but would lead to overall declines in CDR for our 45-year time horizon. Over a much longer period afforestation could capture more of the losses from deforestation but at a timeframe inconsistent with most climate change policy efforts.</p></div>","PeriodicalId":505,"journal":{"name":"Carbon Balance and Management","volume":"19 1","pages":""},"PeriodicalIF":3.9,"publicationDate":"2024-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://cbmjournal.biomedcentral.com/counter/pdf/10.1186/s13021-024-00287-9","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142765390","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":"Urban land use optimization prediction considering carbon neutral development goals: a case study of Taihu Bay Core area in China","authors":"Mingfang Tang,&nbsp;Yuejing Rong,&nbsp;Lifu Zheng,&nbsp;Yue Luo,&nbsp;Kai Li,&nbsp;Xin Fan","doi":"10.1186/s13021-024-00285-x","DOIUrl":"10.1186/s13021-024-00285-x","url":null,"abstract":"<div><h3>Background</h3><p>Given the increasing commitment of numerous nations to achieving future carbon neutrality, urban development planning that integrating carbon storage considerations plays a crucial role in enhancing urban carbon efficiency and promoting regional sustainable development. Previous studies have indicated that optimizing land use structure and quality is essential for regional carbon storage management. Taking the core area of Taihu Bay as study area, this study innovatively combined high-precision urban 3D data to account for the whole urban carbon pools of buildings, vegetation, soils, water. Then, multi-objective linear programming model and PLUS (Patch-generating Land Use Simulation) model were applied at patch scale to assess and compare carbon storage in various scenarios, considering both carbon storage maximization and urban development requirements.</p><h3>Results</h3><p>The results were presented as follows. (1) Urban woodland carbon pool accounts for only a fraction of total carbon pool, and the role of soil and building carbon pools cannot be ignored. (2) Compared with the current situation, the carbon-growth optimized scenario will lead to the increase of total carbon storage by 38,568.31 tons. (3) Carbon-growth optimized scenario has reduced carbon storage in Woodland, Cropland, Village, Water compared to the Natural growth scenario, but has increased carbon storage in Garden plots, Street, Urban district, Town and other areas.</p><h3>Conclusions</h3><p>Therefore, we find that for fast-growing cities, rationally planning built-up areas and woodland areas can achieve the twin goals of economic development and maximizing regional carbon storage. Furthermore, the implementation of new energy policies and projects such as green roofs can help to achieve regional carbon neutrality. The study provides new insights into the accounting of carbon pools within cities and the simulation of fine-grained land use planning based on the dual objectives of carbon stock maximization and urban development.</p></div>","PeriodicalId":505,"journal":{"name":"Carbon Balance and Management","volume":"19 1","pages":""},"PeriodicalIF":3.9,"publicationDate":"2024-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://cbmjournal.biomedcentral.com/counter/pdf/10.1186/s13021-024-00285-x","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142754301","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":"Slowly getting there: a review of country experience on estimating emissions and removals from forest degradation","authors":"Till Neeff,&nbsp;Javier G. P. Gamarra,&nbsp;Andreas Vollrath,&nbsp;Erik Lindquist,&nbsp;Ghislaine Gill,&nbsp;Julian Fox,&nbsp;Jennifer Smith,&nbsp;Karen Dyson,&nbsp;Karis Tenneson,&nbsp;Marieke Sandker,&nbsp;Teopista Nakalema","doi":"10.1186/s13021-024-00281-1","DOIUrl":"10.1186/s13021-024-00281-1","url":null,"abstract":"<div><p>Estimating emissions and removals from forest degradation is important, yet challenging, for many countries. This paper reports results from analysis of country reporting (to the United Nations Framework Convention on Climate Change and also to several climate finance initiatives) and key take-aways from a south-south exchange workshop among 17 countries with forest mitigation programmes. During the workshop discussions it became clear that, where forest degradation is a major source of emissions, governments want to include it when reporting on their mitigation efforts. However, challenges to accurately estimating emissions from degradation relate to defining forest degradation and setting the scope for estimating carbon stock changes; to detecting and monitoring degradation using earth observation data; and to estimating associated emissions and removals from field observation results. The paper concludes that recent and ongoing investments into data and analysis methods have helped improve forest degradation estimation, but further methodological work and continued effort will be needed.</p></div>","PeriodicalId":505,"journal":{"name":"Carbon Balance and Management","volume":"19 1","pages":""},"PeriodicalIF":3.9,"publicationDate":"2024-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://cbmjournal.biomedcentral.com/counter/pdf/10.1186/s13021-024-00281-1","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142714311","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":"Methane cycling in temperate forests","authors":"Kathryn Wigley,&nbsp;Charlotte Armstrong,&nbsp;Simeon J. Smaill,&nbsp;Nicki M. Reid,&nbsp;Laura Kiely,&nbsp;Steve A. Wakelin","doi":"10.1186/s13021-024-00283-z","DOIUrl":"10.1186/s13021-024-00283-z","url":null,"abstract":"<div><p>Temperate forest soils are considered significant methane (CH₄) sinks, but other methane sources and sinks within these forests, such as trees, litter, deadwood, and the production of volatile organic compounds are not well understood. Improved understanding of all CH₄ fluxes in temperate forests could help mitigate CH₄ emissions from other sources and improve the accuracy of global greenhouse gas budgets. This review highlights the characteristics of temperate forests that influence CH₄ flux and assesses the current understanding of the CH₄ cycle in temperate forests, with a focus on those managed for specific purposes. Methane fluxes from trees, litter, deadwood, and soil, as well as the interaction of canopy-released volatile organic compounds on atmospheric methane chemistry are quantified, the processes involved and factors (biological, climatic, management) affecting the magnitude and variance of these fluxes are discussed. Temperate forests are unique in that they are extremely variable due to strong seasonality and significant human intervention. These features control CH₄ flux and need to be considered in CH₄ budgets. The literature confirmed that temperate planted forest soils are a significant CH₄ sink, but tree stems are a small CH₄ source. CH₄ fluxes from foliage and deadwood vary, and litter fluxes are negligible. The production of volatile organic compounds could increase CH₄’s lifetime in the atmosphere, but current in-forest measurements are insufficient to determine the magnitude of any effect. For all sources and sinks more research is required into the mechanisms and microbial community driving CH₄ fluxes. The variability in CH₄ fluxes within each component of the forest, is also not well understood and has led to overestimation of CH₄ fluxes when scaling up measurements to a forest or global scale. A roadmap for sampling and scaling is required to ensure that all CH₄ sinks and sources within temperate forests are accurately accounted for and able to be included in CH₄ budgets and models to ensure accurate estimates of the contribution of temperate planted forests to the global CH₄ cycle.</p></div>","PeriodicalId":505,"journal":{"name":"Carbon Balance and Management","volume":"19 1","pages":""},"PeriodicalIF":3.9,"publicationDate":"2024-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://cbmjournal.biomedcentral.com/counter/pdf/10.1186/s13021-024-00283-z","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142492511","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 structure and Brazilian pine as key determinants of carbon stock in a subtropical Atlantic forest","authors":"Vinicius Costa Cysneiros,&nbsp;Allan Libanio Pelissari,&nbsp;Afonso Figueiredo Filho","doi":"10.1186/s13021-024-00284-y","DOIUrl":"10.1186/s13021-024-00284-y","url":null,"abstract":"<div><h3>Background</h3><p>Understanding the drivers of variations in carbon stocks is essential for developing the effective management strategies that contribute to mitigating climate change. Although a positive relationship between biodiversity and the aboveground carbon (AGC) has been widely reported for various Brazilian forest types, representing a win–win scenario for climate change mitigation, this association has not been commonly found in Brazilian subtropical forests. Therefore, in the present study, we aimed to evaluate the effects of <i>Araucaria angustifolia</i>, stand structure and species diversity in shaping AGC stocks in Brazilian subtropical mixed forest. We hypothesized that the effects on the AGC of stand structure and diversity would be mediated by <i>A. angustifolia</i>. We also evaluated the expectation of higher carbon stocks in protected forest as a result of their positive correlation with biodiversity conservation.</p><h3>Results</h3><p>We found that stand structure, followed by <i>A. angustifolia</i>, played the most important role in shaping the AGC stock. Our hypothesis was partially confirmed, the indirect effects of <i>A. angustifolia</i> on stand structure being found to have shaped the AGC. Similarly, our expectation was partially supported, with the higher AGC in the protected area being related not to diversity, but rather to the presence of larger trees, denser stands, and a greater abundance of <i>A. angustifolia</i>.</p><h3>Conclusion</h3><p>Although the win–win strategy between diversity conservation and carbon storage is not a peculiarity of Araucaria forests, we highlight the potential of these forests as a nature-based climate solution, maintaining high levels of carbon storage in harmony with the provision of keystone socio-economic resources.</p></div>","PeriodicalId":505,"journal":{"name":"Carbon Balance and Management","volume":"19 1","pages":""},"PeriodicalIF":3.9,"publicationDate":"2024-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://cbmjournal.biomedcentral.com/counter/pdf/10.1186/s13021-024-00284-y","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142451085","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":"Carbon, climate, and natural disturbance: a review of mechanisms, challenges, and tools for understanding forest carbon stability in an uncertain future","authors":"Alex W. Dye,&nbsp;Rachel M. Houtman,&nbsp;Peng Gao,&nbsp;William R. L. Anderegg,&nbsp;Christopher J. Fettig,&nbsp;Jeffrey A. Hicke,&nbsp;John B. Kim,&nbsp;Christopher J. Still,&nbsp;Kevin Young,&nbsp;Karin L. Riley","doi":"10.1186/s13021-024-00282-0","DOIUrl":"10.1186/s13021-024-00282-0","url":null,"abstract":"<div><p>In this review, we discuss current research on forest carbon risk from natural disturbance under climate change for the United States, with emphasis on advancements in analytical mapping and modeling tools that have potential to drive research for managing future long-term stability of forest carbon. As a natural mechanism for carbon storage, forests are a critical component of meeting climate mitigation strategies designed to combat anthropogenic emissions. Forests consist of long-lived organisms (trees) that can store carbon for centuries or more. However, trees have finite lifespans, and disturbances such as wildfire, insect and disease outbreaks, and drought can hasten tree mortality or reduce tree growth, thereby slowing carbon sequestration, driving carbon emissions, and reducing forest carbon storage in stable pools, particularly the live and standing dead portions that are counted in many carbon offset programs. Many forests have natural disturbance regimes, but climate change and human activities disrupt the frequency and severity of disturbances in ways that are likely to have consequences for the long-term stability of forest carbon. To minimize negative effects and maximize resilience of forest carbon, disturbance risks must be accounted for in carbon offset protocols, carbon management practices, and carbon mapping and modeling techniques. This requires detailed mapping and modeling of the quantities and distribution of forest carbon across the United States and hopefully one day globally; the frequency, severity, and timing of disturbances; the mechanisms by which disturbances affect carbon storage; and how climate change may alter each of these elements. Several tools (e.g. fire spread models, imputed forest inventory models, and forest growth simulators) exist to address one or more of the aforementioned items and can help inform management strategies that reduce forest carbon risk, maintain long-term stability of forest carbon, and further explore challenges, uncertainties, and opportunities for evaluating the continued potential of, and threats to, forests as viable mechanisms for forest carbon storage, including carbon offsets. A growing collective body of research and technological improvements have advanced the science, but we highlight and discuss key limitations, uncertainties, and gaps that remain.</p></div>","PeriodicalId":505,"journal":{"name":"Carbon Balance and Management","volume":"19 1","pages":""},"PeriodicalIF":3.9,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://cbmjournal.biomedcentral.com/counter/pdf/10.1186/s13021-024-00282-0","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142411152","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":"Accounting for carbon emissions in social water cycle system in nine provinces along the yellow river and analysis of influencing factors","authors":"Lanbo Cui,&nbsp;Fuqiang Wang,&nbsp;Honglu Zhang,&nbsp;Heng Zhao,&nbsp;Jiahao Shi","doi":"10.1186/s13021-024-00280-2","DOIUrl":"10.1186/s13021-024-00280-2","url":null,"abstract":"<div><h3>Background</h3><p>Water resources is an essential factor to ensure the sustainable development of the society, but along with the utilization and treatment of water resources, a large amount of carbon emissions will be generated. The study of carbon emissions in social water cycle system is of great significance in promoting the achievement of carbon peaking and carbon neutrality. This study calculated the carbon emissions generated in social water cycle system in nine provinces along the Yellow River, used the Tapio decoupling model to analyze the decoupling relationship between water and carbon emissions, and constructed the STIRPAT expanded model to analyze the main influencing factors of carbon emissions.</p><h3>Results</h3><p>(1) The total carbon emissions of the nine provinces showed an increasing trend over time, with a growth rate of 25.13%. (2) The carbon emission intensity of water use (1.60kg/m³) and drainage (1.45kg/m³) system is higher, the carbon emission intensity of water supply (0.30kg/m³) and water withdrawal (0.56kg/m³) system is lower. (3) The relationship between water resources utilization and carbon emissions along the Yellow River is generally in a state of negative decoupling and coupling. (4) Energy structure and population growth are the main factors affecting carbon emissions in social water cycle system, while water supply quantity and water use system are secondary factors.</p><h3>Conclusions</h3><p>Water use system is the main body of carbon emissions in social water cycle system, and as the water consumption increases, the carbon emissions will continue to increase. In order to reduce carbon emissions and mitigate climate change, carbon emission factors should be incorporated into water resources management.</p></div>","PeriodicalId":505,"journal":{"name":"Carbon Balance and Management","volume":"19 1","pages":""},"PeriodicalIF":3.9,"publicationDate":"2024-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://cbmjournal.biomedcentral.com/counter/pdf/10.1186/s13021-024-00280-2","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142329385","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":"Quantification of biomass availability for wood harvesting and storage in the continental United States with a carbon cycle model","authors":"Henry Hausmann,&nbsp;Qixiang Cai,&nbsp;Ning Zeng","doi":"10.1186/s13021-024-00270-4","DOIUrl":"10.1186/s13021-024-00270-4","url":null,"abstract":"<div><h3>Background</h3><p>Wood Harvesting and Storage (WHS) is a form of Biomass Carbon Removal and Storage (BiCRS) that utilizes a combined natural and engineered process to harvest woody biomass and put it into long term storage, most frequently in the form of subterranean burial. This paper aims to quantify the availability of woody biomass for the purposes of WHS in the continental United States using a carbon cycle modeling approach. Using a regional version of the VEGAS terrestrial carbon cycle model at 10 km resolution, this paper calculates the annual woody net primary production in the continental United States. It then applies a series of constraints to exclude woody biomass that is unavailable for WHS. These constraints include fine woody biomass, current land use, current wood utilization, land conservation, and topographical limitations. These results were then split into state by state and regional totals.</p><h3>Results</h3><p>In total, the model projects the continental United States could produce 1,274 MtCO₂e (CO₂ equivalent) worth of coarse woody biomass annually in a scenario with no anthropogenic land use or constraints. In a scenario with anthropogenic land use and constraints on wood availability, the model projects that 415 MtCO₂e of coarse woody biomass is available for WHS annually. This is enough to offset 8.5% of the United States’ 2020 greenhouse gas emissions. Of this potential, 20 MtCO₂e is from the Pacific region, 77 MtCO₂e is from the Western Interior, 91 MtCO₂e is from the Northeast region, and 228 MtCO₂e is from the Southeast region.</p><h3>Conclusion</h3><p>There is enough coarse woody biomass available in the continental United States to make WHS a viable form of carbon removal and storage in the country. There is coarse woody biomass available across the continental United States. All four primary regions analyzed have enough coarse woody biomass available to justify investment in WHS projects.</p></div>","PeriodicalId":505,"journal":{"name":"Carbon Balance and Management","volume":"19 1","pages":""},"PeriodicalIF":3.9,"publicationDate":"2024-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://cbmjournal.biomedcentral.com/counter/pdf/10.1186/s13021-024-00270-4","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142329427","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":"Changes in the net primary production of ecosystems across Western Europe from 2015 to 2022 in response to historic drought events","authors":"Christopher Potter,&nbsp;Stephanie Pass","doi":"10.1186/s13021-024-00279-9","DOIUrl":"10.1186/s13021-024-00279-9","url":null,"abstract":"<div><h3>Background</h3><p>Ecosystem models are valuable tools to make climate-related assessments of change when ground-based measurements of water and carbon fluxes are not adequately detailed to realistically capture geographic variability. The Carnegie-Ames-Stanford Approach (CASA) is one such model based on satellite observations of monthly vegetation cover to estimate net primary production (NPP) of terrestrial ecosystems.</p><h3>Results</h3><p>CASA model predictions from 2015 to 2022 for Western Europe revealed several notable high and low periods in growing season NPP totals in most countries of the region. For the total land coverage of France, Greece, Italy, Portugal, and Spain, 2018 was the year with the highest terrestrial plant growth, whereas 2017 and 2019 were the years with the highest summed NPP across the UK, Germany, and Croatia. For most of Western Europe, 2022 was the year predicted with the lowest summed plant growth. Annual precipitation in most countries of Western Europe gradually declined from a high average rate in 2018 to a low average precipitation level in 2022.</p><h3>Conclusions</h3><p>The CASA model predicted decreased growing season NPP of between − 25 and − 60% across all of Spain, southern France, and northern Italy from 2021 to 2022, and much of that plant production loss was detected in the important cropland regions of these nations.</p></div>","PeriodicalId":505,"journal":{"name":"Carbon Balance and Management","volume":"19 1","pages":""},"PeriodicalIF":3.9,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://cbmjournal.biomedcentral.com/counter/pdf/10.1186/s13021-024-00279-9","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142246695","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}