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Nitrogen storage and allocation in China’s forest ecosystems

Science China Earth Sciences 2020年第10期63卷 1475-1484页

作者： Li XU Nianpeng HE Key Laboratory of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing 100101China College of Resources and Environment University of Chinese Academy of SciencesBeijing 100049China

Forests are important parts of terrestrial ecosystems and play a leading role in regional and global nitrogen(N)*** assessment of N storage and allocation in China’s forests is critical to improve the accuracy of regional or global N estimates and to guide policy-makers in the formulation of scientific and effective N management ***,the fore stN storage at national scale remains *** on 4420 forest field-investigated data,we investigated the N storage allocation in China’s forests,explored the spatial patterns and influence *** data included vegetation information on various organs(i.e.,leaf,branch,stem,and root)and soil information at different depths(0-30 cm and 0-100 cm).The total N storage in China’s forest ecosystems was 14.45±8.42 tN hm^–2;0.86±0.51 tN hm^–2(5.95%)in vegetation and 13.59±8.40 tN hm^–2(94.05%)in soil(0–100 cm).The storage and allocation of N varied significantly across various regions and forest *** different ecological regions,N storage varied from 10.34 to 23.11 tN hm^–2,and the allocation ratio of N storage between vegetation and soil(0–100 cm)varied from 0.03 to *** different forest types,the N storage varied from 12.87 to 18.32 tN hm^–2,and the allocation ratio of N storage between vegetation and soil(0–100 cm)varied from 0.03 to *** spatial patterns relative to N storage and allocation in forests were *** was the primary factor influencing the spatial variation in forestN storage,while soil texture was the main factor influencing the spatial variation in N *** first estimates of N storage and allocation ratio in China’s forests are keys for improving the fitting accuracy of regional N cycle models and provide a reference for regional management of forestN.

关键词： Forest Nitrogen cycling Nitrogen storage Allocation Climate Soil nutrient Soil texture

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It is time to optimize forest management policy for both carbon sinks and wood harvest in China

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National Science Review 2025年第4期12卷 18-20页

作者： Xi Li Haicheng Zhang Rong Shang Jingmin Chen Daju Wang Jianhua Zhu Huaguo Huang Simei Lin Baihong Pan Wenping Yuan Shilong Piao Institute of Carbon Neutrality Sino-French Institute for Earth System Science College of Urban and Environmental Sciences Peking University School of Geography and Planning Sun Yat-sen University Key Laboratory for Humid Subtropical Eco-Geographical Processes of the Ministry of Education School of Geographical SciencesFujian Normal University Department of Geography and Planning University of Toronto School of Atmospheric Sciences Guangdong Province Data Center of Terrestrial and Marine Ecosystems Carbon Cycle Sun Yat-sen University Ecology and Nature Conservation Institute Chinese Academy of Forestry Key Laboratory of Forest Ecology and Environment of National Forestry and Grassland Administration Key Laboratory for Silviculture and Conservation of Ministry of Education Beijing Forestry University School of Biological Sciences Center for Earth Observation and Modeling University of Oklahoma

Forestry protection has constituted a fundamental element of China's forest management policy for the past four decades,and has played a critical role in increasing forest area and biomass stock [1,2].Nevertheless, an efficacious forest management policy should balance the dual roles of forests, serving as both carbon sinks and ecosystems [3],

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Correction to: Species-specific and generalized allometric biomass models for eight Fagaceae species in the understory of evergreen broadleaved forests in subtropical China

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Journal of Forestry Research 2024年第6期35卷 374-374页

作者： Meng, Shengwang Qianyanzhou Ecological Research Station Key Laboratory of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing People’s Republic of China

In the original publication, the author has found few errors in the equations as below:1. The ε_(fO) symbol in Wag model of Eq. (6) should be deleted. The incorrect equation appears as below.

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Uncertainties in above ground tree biomass estimation

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Journal of Forestry Research 2021年第5期32卷 1989-2000页

作者： Lihou Qin Shengwang Meng Guang Zhou Qijing Liu Zhenzhao Xu College of Forestry Beijing Forestry UniversityBeijing 100083People’s Republic of China Qianyanzhou Ecological Research Station Key Laboratory of Ecosystem Network Observation and ModelingInstitute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing 100101People’s Republic of China Jiangxi Academy of Forestry Nanchang 330022People’s Republic of China

Models of above-ground tree biomass have been widely used to estimate forest biomass using national forest inventory ***,many sources of uncertainty affect above-ground biomass estimation and are challenging to *** this study,the uncertainties associated with the measurement error in independent variables(diameter at breast height,tree height),residual variability,variances of the parameter estimates,and the sampling variability of national inventory data are estimated for five above-ground biomass *** results show sampling variability is the most significant source of *** measurement error and residual variability have negligible effects on forests above-ground biomass ***,a reduction in the uncertainty of the sampling variability has the greatest potential to decrease the overall *** power model containing only the diameter at breast height has the smallest *** findings of this study provide suggestions to achieve a trade-off between accuracy and cost for above-ground biomass estimation using field work.

关键词： Above-ground biomass Measurement error Residual variability Parameter estimates Sampling variability

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Decrease of nitrogen cycle gene abundance and promotion of soil microbial-N saturation restrain increases in N2O emissions in a temperate forest with long-term nitrogen addition

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Chemosphere 2023年第1期338卷

作者： Shang, Shuaishuai Song, Minghua Wang, Chunmei Dou, Xiaomin Wang, Jiaxin Liu, Fangfang Zhu, Chenying Wang, Shiqi College of Environmental Science and Engineering Beijing Forestry University Beijing100083 China Key Laboratory of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences A11 Datun Road Chaoyang District Beijing100101 China

Increases in soil available nitrogen (N) influence N-cycle gene abundances and emission of nitrous oxide (N2O), which is primarily due to N-induced soil acidification in forest. Moreover, the extent of microbial-N saturation could control microbial activity and N2O emission. The contributions of N-induced alterations of microbial-N saturation and N-cycle gene abundances to N2O emission have rarely been quantified. Here, the mechanism underlying N2O emission under N additions (three chemical forms of N, i.e., NO3−-N, NH4+-N and NH4NO3–N, and each at two rates, 50 and 150 kg N ha−1 year−1, respectively) spanning 2011–2021 was investigated in a temperate forest in Beijing. Results showed N2O emissions increased at both low and high N rates of all the three forms compared with control during the whole experiment. However, N2O emissions were lower in high rate of NH4NO3–N and NH4+-N treatments than the corresponding low N rates in the recent three years. Effects of N on microbial-N saturation and abundances of N-cycle genes were dependent on the N rate and form as well as experimental time. Specifically, negative effects of N on N-cycle gene abundances and positive effects of N on microbial-N saturation were demonstrated in high N rate treatments, particularly with NH4+ addition during 2019–2021. Such effects were associated with soil acidification. A hump-backed trend between microbial-N saturation and N2O emissions was observed, suggesting N2O emissions decreased with increase of the microbial-N saturation. Furthermore, N-induced decreases in N-cycle gene abundances restrained N2O emissions. In particular, the nitrification process, dominated by ammonia-oxidize archaea, is critical to determination of N2O emissions in response to the N addition in the temperate forest. We confirmed N addition promoted soil microbial-N saturation and reduced N-cycle gene abundances, which restrained the continuous increase in N2O emissions. It is important for understanding the forest-N

关键词： Enzyme activity

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Selective harvesting at rational intervals promotes carbon sequestration in temperate coniferous and broad-leaved mixed forests in China

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Journal of Forestry Research 2021年第3期32卷 1025-1033页

作者： Jihua Hou Junxia Tian Li Xu Zihao Zhang Zhi Chen Nianpeng He Beijing Key Laboratory of Forest Resources and Ecosystem Processes Beijing Forestry UniversityBeijing 100083People’s Republic of China Key Laboratory of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing 100101People’s Republic of China College of Resources and Environment University of Chinese Academy of SciencesBeijing 100049People’s Republic of China Key Laboratory of Vegetation Ecology Ministry of EducationNortheast Normal UniversityChangchun 130024People’s Republic of China

Evidence-based selective cutting at prescribed intervals as part of good forest management can enhance the carbon sequestration capacity of the *** effect of forest management on carbon sequestration has,however,not been ***,carbon content of various organs was measured for 323 tree species,247 shrub species,and233 herb species in seven temperate coniferous and broadleaved mixed forests that were subjected to selective cutting with restoration durations of 100,55,45,36,25,14,and6 years to explore dynamic changes in carbon *** results showed that biomass carbon allocation in different organs followed a pattern:trunk>root>branch>leaf for all *** longer restoration durations,more carbon accumulated in different organs and in ***,when the restoration duration exceeded 50 years,carbon storage in ecosystem was larger than that in primary forests with 100-year cutting intervals,suggesting that a reasonable selective cutting interval can increase forest carbon *** diameter at breast height(DBH)and forest carbon storage were significantly positively correlated,and carbon storage of selectively cut forests exceeded that of primary forests when the stand mean DBH exceeded 15.66 ***,mean DBH of forests can be an indicator for combining sustainable forest management and forest carbon ***,the classic coefficients of 0.45 and 0.50 used to estimate carbon sequestration underestimated values by 2.65%and overestimated by 8.16%,respectively,in comparison with the measured carbon content from different plant organs.

关键词： Selective cutting Forests Diameter at breast height Carbon Storage Management Restoration

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中国碳收支:1980~2021年

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Science Bulletin 2024年第1期69卷 114-124页

作者：夏晓圣任培阳王旭辉刘丹陈修治丹利何斌何洪林居为民梁敏琪陆星劼彭静覃章才夏江周郑博魏静乐旭于贵瑞朴世龙袁文平 School of Atmospheric Sciences Guangdong Province Data Center of Terrestrial and Marine Ecosystems Carbon CycleSun Yat-sen UniversityZhuhai 510245China Sino-French Institute for Earth System Science College of Urban and Environmental SciencesPeking UniversityBeijing 100091China State Key Laboratory of Tibetan Plateau Earth System Resources and EnvironmentInstitute of Tibetan Plateau ResearchChinese Academy of SciencesBeijing 100101China Key Laboratory of Regional Climate-Environment for Temperate East Asia Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China State Key Laboratory of Earth Surface Processes and Resource Ecology College of Global Change and Earth System ScienceBeijing Normal UniversityBeijing 100875China Synthesis Research Center of China’s Ecosystem Research Network Key Laboratory of Ecosystem Network Observation and ModelingInstitute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing 100101China International Institute for Earth System Science Nanjing UniversityNanjing 210023China Tianjin Key Laboratory of Water Resources and Environment Tianjin Normal UniversityTianjin 300387China Institute of Environment and Ecology Tsinghua Shenzhen International Graduate SchoolTsinghua UniversityShenzhen 518055China Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control Collaborative Innovation Center of Atmospheric Environment and Equipment TechnologySchool of Environmental Science and EngineeringNanjing University of Information Science&TechnologyNanjing 210044China

As one of the world's largest emitters of greenhouse gases,China has set itself the ambitious goal of achieving carbon peaking and carbon ***,it is crucial to quantify the magnitude and trend of sources and sinks of atmospheric carbon dioxide(CO_(2)),and to monitor China's progress toward these *** state-of-the-art datasets and models,this study comprehensively estimated the anthropogenic CO_(2)emissions from energy,industrial processes and product use,and waste along with natural sources and sinks of CO_(2)for all of China during *** recognize the differences among various methods of estimating greenhouse emissions,the estimates are compared with China's National Greenhouse Gas Inventories(NGHGIs)for 1994,2005,2010,2012,and *** CO_(2)emissions in China have increased by 7.39 times from 1980 to 12.77 Gt CO_(2)a^(-1)in *** benefiting from ecological projects(e.g.,Three Norths Shelter Forest System Project),the land carbon sink in China has reached 1.65 Gt CO_(2)a^(-1)averaged through 2010-2021,which is almost 15.81 times that of the carbon sink in the *** average,China's terrestrial ecosystems offset 14.69%±2.49%of anthropogenic CO_(2)emissions through *** provincial-level administrative regions of China,Xizang and Qinghai,have achieved carbon neutrality according to our estimates,but nearly half of the administrative regions of China have terrestrial carbon sink offsets of less than 10%of anthropogenic CO_(2)*** study indicated a high level of consistency between NGHGIs and various datasets used for estimating fossil CO_(2)emissions,but found notable differences for land carbon *** estimates of the terrestrial carbon sinks of NGHGIs urgently need to be verified with process-based models which integrate the comprehensive carbon cycle processes.

关键词： CO_(2)emission Land carbon sink China Carbon neutrality Carbon budget

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Spatial variations and mechanisms for the stability of terrestrial carbon sink in China

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Science China Earth Sciences 2023年第2期66卷 227-236页

作者： Kai WANG Shilong PIAO Yue HE Yongwen LIU Honglin HE College of Urban and Environmental Sciences Peking UniversityBeijing100871China State Key Laboratory of Tibetan Plateau Earth System Resources and Environment(TPESRE)Institute of Tibetan Plateau ResearchChinese Academy of SciencesBeijing100101China Key Laboratory of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing100101China National Ecosystem Science Data Center Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing100101China College of Resources and Environment University of Chinese Academy of SciencesBeijing100190China

Understanding the stability of terrestrial carbon sinks(S-TCS)contributes to more accurate prediction of the terrestrial carbon sink(TCS)in the context of future global change and helps inform climate change mitigation ***,focusing on China,we analyzed the spatial distribution and driving mechanisms for the S-TCS,quantified by the interannual variability of the TCS,using three independent approaches(atmospheric inversions,ecosystem carbon cycle models,and machine learning models based on flux tower observations).We found that the interannual variability of the TCS in China is relatively small compared with the conterminous United States and geographic Europe,indicating a generally stable TCS in ***,the S-TCS is lower in the North China Plain,Northeast China Plain,and western Yunnan-Guizhou Plateau than in other regions,with varying underlying *** interannual variations in precipitation and high TCS sensitivities to precipitation fluctuations explain the low S-TCS in the North China Plain and Northeast China Plain,while high TCS sensitivities to temperature variations drive the low S-TCS in the western Yunnan-Guizhou *** findings highlight the importance of considering local contexts for stabilizing and enhancing China’s TCS in a changing environment.

关键词： Terrestrial carbon sink Stability Interannual variability China Carbon neutrality

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Nitrogen Isotopic Heterogeneity Underlying Seasonal Rhythms of Phytoplankton Community Structure in a Large Subtropical Lacustrine Ecosystem

SSRN

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SSRN 2024年

作者： Wu, Fan Ha, Xianrui Lin, Shunhe Gao, Yang Jia, Junjie Wang, Jing Sun, Kun Lu, Yao Wang, Shuoyue Key Laboratory of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing100101 China University of Chinese Academy of Sciences Beijing100049 China Department of Obstetrics and Gynecology Fujian Maternity and Child Health Hospital Fujian350102 China

Inorganic forms of nitrogen (N) are one of the key mediating factors on phytoplankton growth and dynamic. However, changes in phytoplankton community structure caused by phytoplankton’s preference for inorganic N utilize remain poorly understood. This study used nitrate nitrogen (δ15N-NO3⁻) and oxygen (δ18O-NO3⁻) isotopes to investigate differences in seasonal N cycling as well as associated phytoplankton biomass and community composition response. Results showed that the average δ15N-NO3⁻ values in spring, summer, autumn, and winter were 7.62‰, 6.11‰, 5.48‰, and 7.41‰, respectively. Accordingly, the average δ18O-NO3⁻ values showed the following order: winter (12.84‰) > summer (11.49‰) > spring (10.32‰) > autumn (7.88‰). The main nitrate sources in Lake Poyang were soil N, manure, sewage, and the ammonium (NH4+) within fertilizer and rainwater in all seasons. Nitrification and algal-derived nitrate assimilation were the main biochemical processes affecting nitrate, where the former was stronger in spring and the latter was stronger in autumn. In summer, Cyanophyta was the most dominant phytoplankton phylum, while Bacillariophyta was enriched in the other three seasons. The total biomass of phytoplankton in winter was the lowest of all four seasons and it was negatively correlated with NO3⁻-N concentration. The results of this study revealed the seasonal variation of N forms and the potential source of N in a large subtropical lacustrine ecosystem, providing a new perspective on the role of phytoplankton in the lake N cycle. © 2024, The Authors. All rights reserved.

关键词： Lakes

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Grazing Intensity Altered the Economics Spectrum of Newly-Growing Fine Roots Differently

SSRN

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SSRN 2024年

作者： Xiang, Mingxue Wu, Junxi Niu, Ben Pan, Ying Zhang, Xianzhou Duo, Lha Ma, Tao Han, Chenglong Lhasa Plateau Ecosystem Research Station Key Laboratory of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing100101 China State Key laboratory of Plateau Ecology and Agriculture in the Three River Headwaters Region Qinghai University Xining810018 China School of Ecology and Environment Tibet University Lhasa850000 China

Newly-growing fine roots are vital for stabilizing and supporting plants, and their traits and economic spectrum affect the absorption capabilities of water and nutrients. Intense human activity, such as grazing, heavily influences root traits and their economic spectrum. However, the impact of grazing intensity on newly-growing fine root traits and their economic spectrum in alpine grasslands remains unclear. We examined newly-growing fine roots collected from 0-10 cm and 10-20 cm soil depths under non-grazing (CK), moderate grazing (MG), and heavy grazing (HG) conditions. We analyzed their biomass, architecture, morphology, and chemical composition, all of which were obtained by the inner-growth bags. The MG enhanced root biomass and root diameter (RD) in both layers while reducing specific root length (SRL) and specific root area (SRA) in the bottom layer. Conversely, the HG significantly decreased root biomass, root length (RL), root area (RA), and root volume (RV) across both layers, and reduced RD and root tissue density (RTD) in the bottom layer, while increasing the surface layer SRL, SRA, and starch content. Grazing intensity differentially affects the traits of newly-growing fine roots at the community level, suggesting the adoption of a conservative (Out-sourcing) strategy under MG and either a competitive resources acquisition (Do-it-yourself) strategy or a slower (Slow strategy) growth under HG. Our results suggest that MG fosters root development while HG restricts it, thereby leading to competitive resource acquisition strategies. Therefore, the balance between grazing and environmental conservation is critical for alpine grasslands, and also adjusting the grazing intensity is essential to promote sustainable ecosystems. © 2024, The Authors. All rights reserved.

关键词： Morphology

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