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Comparing carbon accumulation in restored and natural wetland soils of coastal Louisiana

International Journal of Sediment Research 2019年第6期34卷 600-607页

作者： Glenn M.Suir Charles E.Sasser Ronald D.DeLaune Elizabeth O.Murray U.S.Army Engineer Research and Development center Environmental LaboratoryWetlands and Environmental Technologies Research Facility Louisiana state university Department of Oceanography and Coastal ScienceCollege of the Coast and Environment U.S.Army Engineer Research and Development center Environmental Laboratory

Louisiana’s chronic wetland deterioration has resulted in massive soil organic matter loss and subsequent carbon release through *** combat these losses,and reestablish ecosystem function,goods,and services,many restoration projects have been constructed or planned throughout coastal *** are significant data gaps and conflicting results regarding wetland contributions to global warming,especially related to carbon sequestration in restored *** exceptionally large data set was used to derive carbon accumulation rates from key soil characteristics and *** and comparisons of bulk density,organic matter,total carbon,vertical accretion(short-and longer-term),and carbon accumulation rates were made across time(chronosequence) and space(i.e.,coastwide,watershed basins,and vegetation zones).carbon accumulation rates in the Louisiana coastal zone were generally correlated to hydrogeomorphology,with higher rates occurring in zones of high river connectivity or in swamp or higher salinity tolerant *** average,naturally occurring wetlands had higher carbon accumulation rates than restoration *** some restoration measures were higher,and most showed increasing carbon accumulation rates over *** demonstrate that although wetland restoration provides many ecosystem benefits,the associated carbon sequestration may also provide useful measures for climate change management.

关键词： Wetland productivity Chronosequence carbon sequestration Wetland restoration Coastal Louisiana

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A Comparison of Incentive Policies for the Optimal Layout of CCUS Clusters in China’s Coal-Fired Power Plants Toward carbon Neutrality

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Engineering 2021年第12期7卷 1692-1695页

作者： Wenhui Chen Xi Lu Yalin Lei Jian-Feng Chen School of Economics and management Beijing University of Chemical TechnologyBeijing 100029China state Key Joint Laboratory of Environment Simulation and Pollution Control School of EnvironmentTsinghua UniversityBeijing 100084China Beijing Laboratory of Environmental Frontier Technologies Tsinghua UniversityBeijing 100084China School of Chemical Engineering Beijing University of Chemical TechnologyBeijing 100029China

*** China has announced that it will adopt forceful policies and measures and strive to achieve peak carbon dioxide(CO_(2))emissions before 2030 and carbon neutrality before 2060—aims that are largely consistent with the goal to limit warming to 1.5C[1].Achieving this target requires the deep decarbonization of China’s entire economy,with a particular focus on coal-fired power plants(CFPPs).

关键词： Optimal CCUS dioxide

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Spatial patterns of ecosystem carbon residence time in Chinese forests

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Science China Earth Sciences 2010年第8期53卷 1229-1240页

作者： ZHOU Tao1,2, SHI PeiJun1,2, JIA GenSuo3, LI XiuJuan1,2 & LUO YiQi4 1 state Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal university, Beijing 100875, China 2 Academy of Disaster Reduction and Emergency management, Ministry of Civil Affairs & Ministry of Education, Beijing 100875, China 3 Key Laboratory of Regional Climate-Environment Research for Temperate East Asia, Chinese Academy of Sciences, Beijing 100029, China 4 Department of Botany and Microbiology, university of Oklahoma, Norman, OK 73019, USA state Key Laboratory of Earth Surface Processes and Resource Ecology Beijing Normal University Beijing China Academy of Disaster Reduction and Emergency management Ministry of Civil Affairs & Ministry of Education Beijing China Key Laboratory of Regional Climate-Environment Research for Temperate East Asia Chinese Academy of Sciences Beijing China Department of Botany and Microbiology University of Oklahoma Norman USA

Capacity of carbon sequestration in forest ecosystem largely depends on the trend of net primary production (NPP) and the length of ecosystem carbon residence time. Retrieving spatial patterns of ecosystem carbon residence time is important and necessary for accurately predicting regional carbon cycles in the future. In this study, a data-model fusion method that combined a process-based regional carbon model (TECO-R) with various ground-based ecosystem observations (NPP, biomass, and soil organic carbon) and auxiliary data sets (NDVI, meteorological data, and maps of vegetation and soil texture) was applied to estimate spatial patterns of ecosystem carbon residence time in Chinese forests at steady state. In the data-model fusion, the genetic algorithm was used to estimate the optimal model parameters related with the ecosystem carbon residence time by minimizing total deviation between modeled and observed values. The results indicated that data-model fusion technology could effectively retrieve model parameters and simulate carbon cycling processes for Chinese forest ecosystems. The estimated carbon residence times were highly heterogenous over China, with most of regions having values between 24 and 70 years. The deciduous needleleaf forest and the evergreen needleleaf forest had the highest averaged carbon residence times (73.8 and 71.3 years, respectively), the mixed forest and the deciduous broadleaf forest had moderate values (38.1 and 37.3 years, respectively), and the evergreen broadleaf forest had the lowest value (31.7 years). The averaged carbon residence time of forest ecosystems in China was 57.8 years.

关键词： carbon residence time carbon cycle forest ecosystem data-model fusion inverse modeling genetic algorithm

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Will the future of shale reservoirs lie in CO2 geological sequestration?

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Science China(Technological Sciences) 2020年第7期63卷 1154-1163页

作者： ZHAN Jie CHEN ZhangXin ZHANG Ying ZHENG ZiGang DENG Qi School of Petroleum Engineering Xi'an Shiyou UniversityXi'an 710065China Engineering Research center of Development and management for Low to Ultra-Low Permeability Oil&Gas Reservoirs in West China Ministry of EducationXi'an Shiyou UniversityXi'an 710065China Department of Chemical&Petroleum Engineering University of CalgaryCalgary T2N1N4Canada Natural Gas Engineering Design Department Xi'an Changqing Technology Engineering Co.Ltd.Xi'an 710018China Petroleum Exploration and Development Research Institute PetroChina Changqing Oilfield CompanyXi'an 710018China state Key Laboratory of Oil&Gas Reservoir Geology and Exploitation Southwest Petroleum UniversityChengdu 610500China

CO2 geological sequestration in a depleted shale gas reservoir is a promising method to address the global energy crisis as well as to reduce greenhouse gas emissions. Though improvements have been achieved by many researchers, the carbon sequestration and enhanced gas recovery(CS-EGR) in shale formations is still in a preliminary stage. The current research status of CO2 sequestration in shale gas reservoirs with potential EGR is systematically and critically addressed in the paper. In addition, some original findings are also presented in this paper. This paper will shed light on the technology development that addresses the dual problem of energy crisis and environmental degradation.

关键词： shale gas reservoir CO2 sequestration EGR indexes criteria for prescreening sorption

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carbon sequestration Potential of Tree Species at Isabela state university Wildlife Sanctuary (ISUWS), Cabagan, Isabela, Philippines

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Open Journal of Ecology 2021年第5期11卷 462-473页

作者： Julius G. Pascua Gerryc P. Alfonso Rocel S. Galicia College of Agriculture and Forestry Tarlac Agricultural University Camiling Philippines College of Forestry and Environmental management Isabela State University Cabagan Philippines

This study is conducted to assess the amount of carbon stored in the above-ground biomass of the tree species at the Isabela state university Wildlife Sanctuary (ISUWS). A total of 34 different tree species were found with 285 individuals were identified with a total of 47.50 t/ha carbon stock and 164.09 t/ha of accumulated CO2. It was found in the study that Alstonia scholaris contains the largest amount of above-ground biomass (AGB) with a mass of 20.97 t/ha and carbon stock of 9.44 t/ha followed by Samanea saman with a mass of 13.40 t/ha and carbon stock of 6.03 t/ha. Based on the result and conclusion of this investigation, the following recommendations were drawn: Conduct a study concerning the carbon emission of the area to determine the relationship with its carbon sequestration potential;and conduct tree planting activity to open areas in the study site to increase its carbon stock potential and fully serve the purpose of the area as a wildlife sanctuary.

关键词： carbon sequestration Potential Tree Species Isabela state university Wildlife Sanctuary

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Can Digital Intelligence and Cyber-Physical-Social Systems Achieve Global Food Security and Sustainability?

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IEEE/CAA Journal of Automatica Sinica 2023年第11期10卷 2070-2080页

作者： Yanfen Wang Mengzhen Kang Yali Liu Juanjuan Li Kai Xue Xiujuan Wang Jianqing Du Yonglin Tian Qinghua Ni Fei-Yue Wang College of Resources and Environment University of Chinese Academy of SciencesBeijing 100049 Beijing Yanshan Earth Critical Zone National Research Station University of Chinese Academy of SciencesBeijing 101408 state Key Laboratory of Tibetan Plateau Earth System Environment and ResourcesInstitute of Tibetan Plateau ResearchChinese Academy of SciencesBeijing 100101China state Key Laboratory of Multimodal Artificial Intelligence Systems Institute of AutomationChinese Academy of Sciences(CASIA)Beijing 100190 School of Artificial Intelligence University of Chinese Academy of SciencesBeijing 100049China School of Grassland Science Beijing Forestry UniversityBeijing 100083China state Key Laboratory of Multimodal Artificial Intelligence Systems Institute of AutomationChinese Academy of SciencesBeijing 100190China state Key Laboratory of Plateau Ecology and Agriculture Qinghai UniversityXining 810016 Key Laboratory of Adaptation and Evolution of Plateau Biota Northwest Institute of Plateau BiologyChinese Academy of SciencesXining 810001 Binzhou Institute of Technology Weiqiao-UCAS Science and Technology ParkBinzhou 256606China Beijing Yanshan Earth Critical Zone National Research Station University of Chinese Academy of SciencesBeijing 101408China Department of Engineering Science Faculty of Innovation EngineeringMacao University of Science and TechnologyMacao 999078 state Key Laboratory of Multimodal Artificial Intelligence Systems Institute of AutomationChinese Academy of Sciences(CASIA)Beijing 100190China Faculty of Innovation Engineering Macao University of Science and TechnologyMacao 999078 Beijing Engineering Research center of Intelligent Systems and Technology Chinese Academy of SciencesBeijing 100098 state Key Laboratory for management and Control of Complex Systems Chinese Academy of SciencesBeijing 100190China IEEE

Plants sequester carbon through photosynthesis and provide primary productivity for the ecosystem. However, they also simultaneously consume water through transpiration, leading to a carbon-water balance relationship. Agricultural production can be regarded as a form of carbon sequestration *** the perspective of the natural-social-economic complex ecosystem, excessive water usage in food production will aggravate regional water pressure for both domestic and industrial purposes. Hence, achieving a harmonious equilibrium between carbon and water resources during the food production process is a key scientific challenge for ensuring food security and sustainability. Digital intelligence(DI) and cyber-physical-social systems(CPSS) are emerging as the new research paradigms that are causing a substantial shift in the conventional thinking and methodologies across various scientific fields, including ecological science and sustainability studies. This paper outlines our recent efforts in using advanced technologies such as big data, artificial intelligence(AI), digital twins, metaverses, and parallel intelligence to model, analyze, and manage the intricate dynamics and equilibrium among plants, carbon, and water in arid and semiarid ecosystems. It introduces the concept of the carbon-water balance and explores its management at three levels: the individual plant level, the community level, and the natural-social-economic complex ecosystem level. Additionally, we elucidate the significance of agricultural foundation models as fundamental technologies within this context. A case analysis of water usage shows that, given the limited availability of water resources in the context of the carbon-water balance, regional collaboration and optimized allocation have the potential to enhance the utilization efficiency of water resources in the river basin. A suggested approach is to consider the river basin as a unified entity and coordinate the relationship between the

关键词： carbon-water balance decision-support digital intelligence(DI) foundation models planning

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Cattle manure biochar and earthworm interactively affected CO_(2)and N_(2)O emissions in agricultural and forest soils:Observation of a distinct difference

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Frontiers of Environmental Science & Engineering 2022年第3期16卷 147-159页

作者： Xiaoqiang Gong Jinbiao Li Scott X.Chang Qian Wu Zhengfeng An Chengpeng Huang Xiangyang Sun Suyan Li Hui Wang Department of Renewable Resources University of AlbertaEdmontonAlberta T6G 2E3Canada College of Forestry Beijing Forestry UniversityBeijing 100083China state Key Joint Laboratory of Environmental Simulation and Pollution Control School of EnvironmentTsinghua UniversityBeijing 100084China Co-Innovation center for Sustainable Forestry in Southern China Nanjing Forestry UniversityNanjing 210037China Key Laboratory of Grassland Resources of the Ministry of Education and Key Laboratory of Forage Cultivation Processing and High Efficient Utilization of the Ministry of AgricultureCollege of GrasslandResources and EnvironmentInner Mongolia Agricultural UniversityHohhot 010011China state Key Laboratory of Subtropical Silviculture Zhejiang A&F UniversityLin’an 311300China

The application of manure-derived biochar offers an alternative to avoid the direct application of manure to soil causing greenhouse gas *** fauna,especially earthworms,can markedly stimulate carbon dioxide(CO_(2))and nitrous oxide(N_(2)O)emissions from *** study therefore investigated the effect of cattle manure biochar(added at rates of 0,2%,or 10%,coded as BC0,BC2 and BC10,respectively)application,with or without earthworm Aporrectodea turgida,on emissions of CO_(2) and N_(2)O and changes of physic-chemical properties of agricultural and forest soils in a laboratory incubation *** BC10 treatment significantly enhanced cumulative CO_(2) emissions by 27.9%relative to the untreated control in the agricultural *** the contrary,the BC2 and BC10 treatments significantly reduced cumulative CO_(2) emissions by 16.3%–61.1%and N_(2)O emissions by 92.9%–95.1%compared to the untreated control in the forest *** addition of earthworm alone significantly enhanced the cumulative CO_(2) and N_(2)O fluxes in agricultural and forest *** CO_(2) and N_(2)O fluxes were significantly increased when BC2 and BC10 were applied with earthworm in the agricultural soil,but were significantly reduced when BC10 was applied with earthworm in the forest *** study demonstrated that biochar application interacted with earthworm to affect CO_(2) and N_(2)O emissions,which were also dependent on the soil type *** study suggests that manure biochar application rate and use of earthworm need to be carefully studied for specific soil types to maximize the climate change mitigation potential of such management practices.

关键词： carbon sequestration Forest soil Cattle manure biochar Greenhouse gas emissions Soil fauna

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Uncertainty and Sensitivity Analyses for Modeling Long-Term Soil Organic carbon Dynamics of Paddy Soils Under Different Climate-Soil-management Combinations

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Pedosphere 2017年第5期27卷 912-925页

作者： QIN Fal ZHAO Yongcun SHI Xuezheng XU Shengxiang YU Dongsheng state Key Laboratory of Soil and Sustainable Agriculture Institute of Soil Science Chinese Academy of Sciences university of Chinese Academy of Sciences Yuxi Normal university

Reporting modeling results with uncertainty information can benefit decision making by decreasing the extent that variability exerts a disproportionate influence on the options selected. For making decisions with more confidence, the uncertainty interval should be as narrow as possible. Here, the soil organic carbon （SOC） dynamics of the major paddy soil subgroup from 4 different paddy field regions of China （located in 4 counties under different climate-soil-management combinations） were modeled using the DeNitrification- DeComposition （DNDC） model for the period from 1980 to 2008. Uncertainty intervals associated with the SOC dynamics for these 4 subgroups were estimated by a long-term global sensitivity and uncertainty analysis （i. e., the Sobolt method）, and their sensitivities to 7 influential factors were quantified using the total effect sensitivity index. The results, modeled with high confidence, indicated that in the past 29 years, the studied paddy soils in Xinxing, Yixing, and Zhongjiang counties were carbon （C） sinks, while the paddy soil in Helong County was a C source. The 3 C sinks sequestered 12.2 （5.4, 19.6）, 17.1 （8.9, 25.0）, and 16.9 （-1.2, 33.6） t C ha-1 （values in the parentheses are the 5th and 95th percentiles, respectively）. Conversely, the C source had a loss of -5.4 （-14.2, 0.06） t C ha-1 in the past 29 years. The 7 factors, which changed with the climate-soil-management context, exhibited variable influences on modeled SOC. Measures with potential to conserve or sequestrate more C into paddy soils, such as incorporating more crop residues into soils and reducing chemical fertilizer application rates, were recommended for specific soils based on the sensitivity analysis results.

关键词： carbon loss carbon sequestration carbon sink carbon source DeNitrification-DeComposition model fertilizer appli-cation influential factors residue incorporation Sobol~ method

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Effects of management regimes on carbon sequestration under the Natural Forest Protection Program in northeast China

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Journal of Forestry Research 2018年第5期29卷 1187-1194页

作者： Linhai Jiang Wei Zhao Bernard J.Lewis Yawei Wei Limin Dai state Key Laboratory of Forest and Soil Ecology Institute of Applied Ecology Chinese Academy of SciencesShenyang 110164 People's Republic of China university of Chinese Academy of Sciences Beijing 100101People's Republic of China Department and Research center of the state Post Bereau Beijing 100000 People's Republic of China Dalian Institute of Software and Service Outsourcing Dalian 106000 People's Republic of China Shenyang Agricultural university Shenyang 110000People's Republic of China

carbon sinks constitute an important element within the complex phenomenon of global climate change,and forest ecosystems are important global carbon *** Natural Forest Protection Program（NFPP） is an ecological program in China that was established after catastrophic flooding in the country in *** goals of the NFPP are to curb the deterioration of the ecological environment,strengthen the protection and restoration of habitat to increase biodiversity,and rehabilitate natural forests to support sustainable development in forest *** study looked at changes in carbon sequestration in a forested area of northeast China after the inception of the *** program divides China＇s natural forests into three classes—commercial and two types of noneconomic forests—that are subject to management regimes prescribing varying levels of timber harvest,afforestation,and *** the 18-year period from 1998 to 2015,the total amount of carbon sequestration increased at an average annual rate of 0.04 MT *** trend reflects a transformation of forest management practices after implementation of the NFPP that resulted in prohibited and/or restricted logging and tighter regulation of allowable harvest levels for specific *** documenting this trend,guidelines for more effective implementation of forestry programs such as the NFPP in other countries in the future are also suggested.

关键词： Natural Forest Protection Program(NFPP) carbon sequestration San Chazi Forestry Bureau China forestry

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Altered trends in carbon uptake in China's terrestrial ecosystems under the enhanced summer monsoon and warming hiatus

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National Science Review 2019年第3期6卷 505-514页

作者： Honglin He Shaoqiang Wang Li Zhang Junbang Wang Xiaoli Ren Lei Zhou Shilong Piao Hao Yan Weimin Ju Fengxue Gu Shiyong Yu Yuanhe Yang Miaomiao Wang Zhongen Niu Rong Ge Huimin Yan Mei Huang Guoyi Zhou Yongfei Bai Zongqiang Xie Zhiyao Tang Bingfang Wu Leiming Zhang Nianpeng He Qiufeng Wang Guirui Yu Synthesis Research center of China's Ecosystem Research Network Key Laboratory of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences College of Resources and Environment University of Chinese Academy of Sciences Sino-French Institute for Earth System Science College of Urban and Environment Sciences Peking University Key Laboratory of Alpine Ecology and Biodiversity Institute of Tibetan Plateau Research CAS Center for Excellence in Tibetan Plateau Earth Science Chinese Academy of Sciences National Meteorological center China Meteorological Administration International Institute for Earth System Science and Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology Nanjing University Key Laboratory of Dryland Agriculture MOA Institute of Environment and Sustainable Development in Agriculture Chinese Academy of Agricultural Sciences School of Geography Geomatics and Planning Jiangsu Normal University state Key Laboratory of Vegetation and Environmental Change Institute of Botany Chinese Academy of Sciences university of Chinese Academy of Sciences Key Laboratory of Vegetation Restoration and management of Degraded Ecosystems South China Botanical Garden Chinese Academy of Sciences Department of Ecology College of Urban and Environmental Science Key Laboratory for Earth Surface Processes of the Ministry of Education Peking University Institute of Remote Sensing and Digital Earth Chinese Academy of Sciences

The carbon budgets in terrestrial ecosystems in China are strongly coupled with climate changes. Over the past decade, China has experienced dramatic climate changes characterized by enhanced summer monsoon and decelerated warming. However, the changes in the trends of terrestrial net ecosystem production(NEP) in China under climate changes are not well documented. Here, we used three ecosystem models to simulate the spatiotemporal variations in China’s NEP during 1982–2010 and quantify the contribution of the strengthened summer monsoon and warming hiatus to the NEP variations in four distinct climatic regions of the country. Our results revealed a decadal-scale shift in NEP from a downtrend of–5.95 TgC/yr~2(reduced sink) during 1982–2000 to an uptrend of 14.22 TgC/yr~2(enhanced sink) during 2000–10. This shift was essentially induced by the strengthened summer monsoon, which stimulated carbon uptake, and the warming hiatus, which lessened the decrease in the NEP trend. Compared to the contribution of 56.3% by the climate effect, atmospheric CO2concentration and nitrogen deposition had relatively small contributions(8.6 and 11.3%, respectively) to the shift. In conclusion, within the context of the global-warming hiatus, the strengthening of the summer monsoon is a critical climate factor that enhances carbon uptake in China due to the asymmetric response of photosynthesis and respiration. Our study not only revealed the shift in ecosystem carbon sequestration in China in recent decades, but also provides some insight for understanding ecosystem carbon dynamics in other monsoonal areas.

关键词： climate change Asian summer monsoon warming hiatus biogeochemical modeling ecosystem carbon dynamics

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