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Impacts of nitrogen addition on nitrous oxide emission: Comparison of five nitrous oxide modules or algorithms

Ecological Modelling 2020年 421卷

作者： Yujin Zhang Minna Ma Huajun Fang Dahe Qin Shulan Cheng Wenping Yuan State Key Laboratory of Cryospheric Sciences Northwest Institute of Eco-Environment and Resources Chinese Academy of Sciences Lanzhou Gansu 730000 China School of Atmospheric Sciences Sun Yat-Sen University Zhuhai Guangdong 519082 China Key Laboratory of Ecosystem Network Observation and Modeling Institute of Geographical Sciences and Natural Resources Research Chinese Academy of Sciences Beijing China College of Resources and Environment University of Chinese Academy of Sciences Beijing 100049 China

The contributions of long-lived nitrous oxide (N 2 O) to global climate and environment have received increasing attention. Especially, atmospheric nitrogen (N) deposition has substantially increased in recent decades due to the extensive use of fossil fuels in industry, which strongly stimulates the N 2 O emissions of terrestrial ecosystem. Several models have been developed to simulate the impacts of environmental factors on N 2 O emission from soil, but there are still large differences in the simulations of N 2 O emission and their responses to atmospheric deposition over global or regional scales. Using observations from N addition experiments in a subtropical forest, this study compared five widely-used N 2 O modules or algorithms (i.e. the N 2 O modules of DayCENT, PnET-N-DNDC and DyN, and the algorithm of NOE and NGAS) to investigate their performances for reproducing N 2 O emission, and especially the impacts of two forms of N additions (i.e. NH 4 + -N and NO 3 – -N, respectively) of two levels (low and high) on N 2 O emission. In general, the five modules reproduced the seasonal variations of N 2 O emission. Under the high levels of N addition compared to low ones for both NH 4 + -N and NO 3 – -N, however, not all modules can reproduce larger N 2 O emission. Relatively larger N 2 O emissions in measurements due to NH 4 + -N compared to NO 3 – -N additions were not indicated neither in all the modules. Moreover, there were substantial differences in simulating the ratios of N 2 O emission from nitrification and denitrification processes due to disagreements in the structure of these modules or algorithms. The comparison highlights the need to improve the representation of N 2 O production and diffusion processes. At the same time, it also highlights the application of WFPS in the model methodology as a key scheme that mediates the two microbial processes, i.e. nitrification and denitrification, could probably improve the performances of N 2 O models in futu

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System-dynamics-based the analysis for material scheduling capacity

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IOP Conference Series: Earth and Environmental Science 2020年第1期608卷

作者： Han Jin Dai Er-fu Faculty of Geomatics Lanzhou Jiaotong University Lanzhou Gansu China Gansu Provincial Engineering Laboratory for National Geographic State Monitoring Lanzhou Gansu China National-Local Joint Engineering Research Center of Technologies and Applications for National Geographic State Monitoring Lanzhou Gansu China Lhasa Plateau Ecosystem Research Station Key Laboratory of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources Research CAS Beijing China University of Chinese Academy of Sciences Beijing China

Emergency material scheduling is an essential part of disaster prevention and mitigation. This paper builds up materials scheduling model based on system dynamics, real-simulation the process of emergency material scheduling in disaster prevention and mitigation, exploring the main factors that affect a city's emergency capacity. The result shows that: the higher the scheduling capacity of government emergency material, the city's emergency capacity can reach its peak level faster. This model can predict materials scheduling speed in real-time and provide the government's emergency administrative department with a theoretical foundation to formulate reasonable disaster prevention and mitigation plans.

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Meta-Analysis of the Impacts of Phosphorus Addition on Soil Microbes

SSRN

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SSRN 2022年

作者： Wu, Wenchao Wang, Fang Xia, Anquan Zhang, Zejin Wang, Zongsong Wang, Kui Dong, Junfu Li, Tong Wu, Yibo Che, Rongxiao Li, Linfeng Niu, Shuli Hao, Yanbin Wang, Yanfen Cui, Xiaoyong College of Life Sciences University of Chinese Academy of Sciences Beijing China CAS Center for Excellence in Tibetan Plateau Earth Sciences Chinese Academy of Sciences Beijing China College of Resources and Environment University of Chinese Academy of Sciences Beijing China Sino-Danish College University of Chinese Academy of Sciences Beijing China Yanshan Earth Critical Zone and Surface Fluxes Research Station Chinese Academy of Sciences Beijing China Centre for Planetary Health and Food Security School of Environment and Science Griffith University Brisbane Australia Institute of International Rivers and Ecosecurity Yunnan University Kunming China School of Civil and Environmental Engineering Ningbo University Ningbo China Key Laboratory of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing China

Soil microbes play a crucial role in myriad ecological processes in terrestrial ecosystem. With increasing nitrogen (N) loading, phosphorus (P) may become more limiting for soil microbes and these processes. However, it remains unclear to what extent P addition impacts soil microbial communities and respiration at global scale, especially under different N loadings. Therefore, we used a global meta-analysis to examine the effects of phosphorus addition on soil microbes based on 2293 paired observations from 129 studies in the world. Overall, P addition increased significantly total as well as fungal, bacterial, and actinomycete (ACT) phospholipid fatty acids (PLFAs), together with Gram+ bacteria (G+) and Gram- bacteria (G-) abundance regardless of N input or not. The increments were more pronounced under higher P addition rate or places with higher mean annual temperature (MAT) or mean annual precipitation (MAP). Moreover, the fungi: bacteria ratio significantly decreased along elevational gradients. Furthermore, higher P addition frequency tended to have significantly more ACT PLFAs, as well as higher G+: G-, but significantly lower fungi: bacteria ratio. However, the responses of soil microbes varied with P addition forms and ecosystem types. In addition, the responses of soil organic carbon (SOC) contents was positively correlated with those of MBC and bacterial PLFAs, and all these three parameters, in addition to fungal PLFAs, correlated positively with the response of soil respiration (Rs). Our results suggest that phosphorus addition had globally positive effects on soil microbes with different N loadings, and the positive effects of soil microbes tended to promote Rs and Rh. These results deepen our understanding of soil microbial community structure and function dynamics under increasing P deposition. They also provide extensive evidences and bases for parameterization of soil carbon cycling models incorporating microbial responses under global change. © 20

关键词： Bacteria

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Urban Sector Land Use Metabolism Reveals Inequalities and Exploitation Across Cities in Regional network Analysis

SSRN

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SSRN 2023年

作者： Xie, Wei Yang, Xuechun Han, Zhixiu Sun, Mingxing Li, Yang Xie, Hongyi Yu, Huajun Chen, Bin Fath, Brian Wang, Yutao Department of Environmental Science & Engineering Fudan University Shanghai200438 China Schlossplatz 1 LaxenburgA-2361 Austria Institute of Circular Economy Faculty of Materials and Manufacturing Beijing University of Technology Beijing100124 China Key Laboratory of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing100101 China Growth Lab Harvard Kennedy School Harvard University CambridgeMA02138 United States Department of Biological Sciences Towson University Towson MD21252 United States Department of Environmental Studies Masaryk University Brno Czech Republic IRDR International Center of Excellence on Risk Interconnectivity and Governance on Weather Shanghai200438 China Shanghai Institute for Energy and Carbon Neutrality Strategy Fudan University Shanghai200438 China Shanghai200062 China

Urban land is the primary scene for economic manufacturing and services providing, through which the economic activities and trade flows amplify and cascade, interacting the natural and human systems. However, our understanding of the economic sectoral urban land metabolism remains inadequate. Here, we establish a spatially explicit sectoral urban land use inventory and a virtual land flow network for 13 cities in the Jing-Jin-Ji region in China to understand urban land use metabolism. Results show spatial heterogeneity in urban land use among industries and across spatial scales. Four cities exhibit reverse import and export roles in regional and national virtual land flow networks. It also reveals inequalities in benefit-cost and supply chain networks across cities, and a wide range of control and exploitation relationships in the region. We suggest that Beijing and Tianjin, as main beneficiaries in the regional economic network, are responsible for promoting regional sustainable development collaboration. © 2023, The Authors. All rights reserved.

关键词： Metabolism

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Climatic and Biotic Controls of Evapotranspiration Across Grassland ecosystems on Tibetan Plateau

SSRN

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SSRN 2023年

作者： Peng, Siyuan Yang, Yue Luo, Dengnan Zeng, Xiang Liang, Minqi Tao, Long Zhang, Guangru Li, Pan Liao, Weijie Guo, Qun Cao, Ruochen Li, Yuzhe Zhang, Weirong Hu, Zhongmin School of Geography South China Normal University Shipai Campus Guangzhou510631 China Key Laboratory of Agro-Forestry Environmental Processes and Ecological Regulation School of Ecology and Environment Hainan University Haikou570228 China Center for Eco-Environment Restoration Engineering of Hainan Province Hainan University Haikou570228 China Facility of Geographical Science Beijing Normal University Beijing100875 China Zhuhai Branch of State Key Laboratory of Earth Surface Processes and Resource Ecology Beijing Normal University Zhuhai519087 China School of Atmospheric Sciences Guangdong Province Data Center of Terrestrial and Marine Ecosystems Carbon Cycle Sun Yat-sen University Guangdong Zhuhai510245 China Key Lab of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing100101 China College of Resources and Environment University of Chinese Academy of Sciences Beijing101408 China International Institute for Earth System Sciences Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application Nanjing University Jiangsu210023 China Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology Key Laboratory for Land Satellite Remote Sensing Applications of Ministry of Natural Resources School of Geography and Ocean Science Nanjing University Jiangsu210023 China Key Laboratory of Land Surface Pattern and Simulation Institute of Geographical Sciences and Natural Resources Research Chinese Academy of Sciences Beijing China

Accurately quantifying spatiotemporal variations in evapotranspiration (ET) and its components on Tibetan Plateau (TP) is crucial for understanding the regional water cycle and energy balance. However, the determinant of spatial variations in ET and its component processes in grassland ecosystems of TP remain unclear. In this study, we used 14 sites observation data and applied Shuttleworth-Wallace-Hu (SWH) model to investigate the spatial relationships between ET, its components, and influencing factors. Our results highlighted the good performance of SWH model. There were corresponding drops in ET on alpine meadow and on alpine steppe. And the ratio of ET and precipitation (ET/PPT) of most sites was less than 1 in alpine meadow. Furthermore, the ratio of transpiration (T) and ET (T/ET) in alpine meadow generally exceeded that in alpine steppe. PPT emerged as the primary driver of interannual spatial variations in ET, while LAI played a crucial role in regulating T/ET. Our results further demonstrated that in the grassland ecosystem of TP, as the aridity index increased, the ET gradually transitioned from being primarily influenced by water supply to energy demand. This transition occurred at an aridity index of 0.73 approximately. The results of this study imply that in the context of global warming, with aridity index in TP decreasing, the ET of more ecosystems will shift from energy-led to water-led. Such findings are of immense significance in enhancing our understanding of the intricate interactions of the water cycle between land and the atmosphere. © 2023, The Authors. All rights reserved.

关键词： Water supply

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Opposite effects of priming and temperature on soil organic matter decomposition

Opposite effects of priming and temperature on soil organic ...

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The 4nd International Workshop on Carbon Sequestration and Climate Change Mitigation in Agriculture(第四届农业土壤固碳与气候变化国际学术研讨会)

作者： Xingliang Xu Na Qiao Weixin Cheng Yakov Kuzyakov Key Laboratory of Tropical Forest Ecology of Xishuangbanna Tropical Botanical Garden Chinese Academy of SciencesNo. 88 Xuefu RoadKunming 650223YunnanP.R. China Key Laboratory of Tropical Forest Ecology of Xishuangbanna Tropical Botanical GardenChinese Academy of SciencesNo. 88 Xuefu RoadKunming 650223YunnanP.R. China Key Laboratory of Ecosystem Network Observation and Modelling Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of Sciences11A Datun RoadChaoyang DistrictBeijing 100101P.R. China Department of Agricultural Soil Science University of G(o)ttingen37077 G(o)ttingenGermany Department of Environmental StudiesUniversity of California at Santa Cruz1156 High StreetSanta CruzCA 95064USA Department of Agricultural Soil ScienceUniversity of G(o)ttingen37077 G(o)ttingenGermany

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Divergent apparent temperature sensitivity of terrestrial ecosystem respiration

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Journal of Plant Ecology 2014年第5期7卷 419-428页

作者： Bing Song Shuli Niu Ruisen Luo Yiqi Luo Jiquan Chen Guirui Yu Janusz Olejnik Georg Wohlfahrt Gerard Kiely Asko Noormets Leonardo Montagnani Alessandro Cescatti Vincenzo Magliulo Beverly Elizabeth Law Magnus Lund Andrej Varlagin Antonio Raschi Matthias Peichl Mats BNilsson Lutz Merbold Key Laboratory of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing 100101China University of Chinese Academy of Sciences Yuquan RoadBeijing 100049China Department of Botany and Microbiology University of OklahomaNormanOK 73019USA CGCEO/Geography Michigan State UniversityEast LansingMI 48864USA Meteorology Department Poznan University of Life Sciences(PULS)Poznan 60-667Poland Department of Matter and Energy Fluxes Global Change Research CenterAS CRv.v.i.BrnoCzech Republic Institute of Ecology University of InnsbruckSternwartestr 15Innsbruck 6020Austria Civil and Environmental Engineering Department University College CorkCorkIreland North Carolina State University/USDA Forest Service Southern Global Change ProgramRaleighNC 27606USA Servizi Forestali Agenzia per l’AmbienteProvinciaAutonoma di BolzanoBolzano 39100Italy Faculty of Science and Technology Free University of BolzanoPiazza Università1Bolzano 39100Italy European Commission Joint Research CenterInstitute for Environment and SustainabilityIspraItaly Institute of Forest and Agricultural Mediterranean Ecosystems-CNR ISAFoM Via Patacca85Ercolano(Napoli)Italy College of Forestry Oregon State UniversityCorvallisOR 97331-2209USA Department of Bioscience Aarhus UniversityFrederiksborgvejRoskilde 4000Denmark A.N.Severtsov Institute of Ecology and Evolution Russian Academy of SciencesLenisky pr.33 Moscow119071Russia CNR-Instituto di Biometeorologia(IBIMET) Via Giovanni Caproni 8Firenze 50145Italy Department of Forest Ecology&Management Swedish University of Agricultural SciencesUmeå90183Sweden ETH Zurich Institute for Agricultural Sciences(IAS)Grassland Sciences GroupLFWC55.2Universitätstrasse 2Zurich 8092Switzerland

Aims Recent studies revealed convergent temperature sensitivity of ecosys-tem respiration(Re)within aquatic ecosystems and between terrestrial and aquatic *** do not know yet whether various terres-trial ecosystems have consistent or divergent temperature ***,we synthesized 163 eddy covariance flux sites across the world and examined the global variation of the apparent activation energy(Ea),which characterizes the apparent temperature sensitivity of and its interannual variability(IAV)as well as their controlling *** We used carbon fluxes and meteorological data across FLUXNET sites to calculate mean annual temperature,tempera-ture range,precipitation,global radiation,potential radiation,gross primary productivity and Re by averaging the daily values over the years in each ***,we analyzed the sites with>8 years data to examine the IAV of Ea and calculated the standard deviation of Ea across years at each site to character-ize *** Findings The results showed a widely global variation of Ea,with significantly lower values in the tropical and subtropical areas than in temperate and boreal areas,and significantly higher values in grasslands and wetlands than that in deciduous broadleaf forests and evergreen ***,spatial variations of Ea were explained by changes in temperature and an index of water availability with differing contribution of each explaining variable among climate zones and *** and the corresponding coefficient of variation of Ea decreased with increasing latitude,but increased with radiation and corresponding mean annual *** revealed patterns in the spatial and temporal variations of Ea and its controlling factors indicate divergent temperature sensitivity of Re,which could help to improve our predictive understanding of Re in response to climate change.

关键词： activation energy ecosystem respiration index of water availability interannual variability gross primary productivity

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Safeguarding biodiversity from critical mineral mining in China

Nexus

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Nexus 2024年第4期1卷

作者： Lin Sun Huajun Yu Bin Chen Zhixiu Han Min Dai Linxiu Zhang Mingxing Sun Yutao Wang Fudan Tyndall Center Department of Environmental Science & Engineering Fudan University Shanghai 200433 China Key Laboratory of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing 100101 China UN Environment Programme-International Ecosystem Management Partnership Beijing 100101 China Shanghai Institute for Energy and Carbon Neutrality Strategy Fudan University Shanghai 200433 China Key Laboratory of Land and Sea Ecological Governance and Systematic Regulation of the Ministry of Ecology and Environment Shandong Academy for Environmental Planning Jinan 250101 China MOE Laboratory for National Development and Intelligent Governance Fudan University Shanghai 200433 China Institute of Eco-Chongming (SIEC) Shanghai 200433 China

Rapid advancements in clean energy technologies have spurred a significant surge in China’s demand for critical minerals. However, developing clean-energy-critical minerals (CECMs) increasingly threatens China’s biodiversity. This study conducts a comprehensive spatial analysis of the impacts of CECMs and fossil energy minerals (FEMs) on China’s protected areas (PAs). We found that the impacts of CECMs are exceeding those of FEMs. Within the boundaries of PAs, we identified 1,338 developed mining ore fields, with an additional 618 earmarked for potential mining activities. Approximately 6,307 km 2 of PAs directly overlap with ore fields, and 167,551 km 2 are indirectly impacted by energy mining activities. Our findings suggest that imposing strict mining restrictions in PAs could mitigate 67% of the mining threat. This study underscores the urgent necessity for proactive conservation strategies to safeguard China’s PAs from the escalating risks posed by the expansion of clean energy technology.

关键词： biodiversity protected area energy transition critical minerals mining

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Front Cover Image

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Plant, Cell & Environment 2024年第4期47卷 i-i页

作者： Bo Shang Evgenios Agathokleous Vicent Calatayud Jinlong Peng Yansen Xu Shuangjiang Li Shuo Liu Zhaozhong Feng Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD) Nanjing University of Information Science and Technology Nanjing Jiangsu China Key Laboratory of Ecosystem Carbon Source and Sink China Meteorological Administration (ECSS-CMA) School of Ecology and Applied Meteorology Nanjing University of Information Science and Technology Nanjing Jiangsu China Fundación CEAM c/Charles R. Darwin 14 Parque Tecnológico Paterna Valencia Spain Key Laboratory of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing China Zhejiang Carbon Neutral Innovation Institute Zhejiang University of Technology Hangzhou Zhejiang China

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Author Correction: Relationships of stomatal morphology to the environment across plant communities

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Nature communications 2024年第1期15卷 439页

作者： Congcong Liu Lawren Sack Ying Li Jiahui Zhang Kailiang Yu Qiongyu Zhang Nianpeng He Guirui Yu Key Laboratory of Ecology and Environment in Minority Areas (Minzu University of China) National Ethnic Affairs Commission 100081 Beijing China. College of Life and Environmental Sciences Minzu University of China 100081 Beijing China. Key Laboratory of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences 100101 Beijing China. Department of Ecology and Evolutionary Biology University of California Los Angeles CA 90025 USA. Department of Ecology and Evolutionary Biology Princeton University Princeton NJ 08540 USA. Key Laboratory of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences 100101 Beijing China. henp@***. Center for Ecological Research Northeast Forestry University 150040 Harbin China. henp@***. Earth Critical Zone and Flux Research Station of Xing'an Mountains Chinese Academy of Sciences 165200 Daxing'anling China. henp@***. College of Resources and Environment University of Chinese Academy of Sciences 100049 Beijing China.

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