Jinxun Liu

ORCID: 0000-0003-0561-8988
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About
Contact & Profiles
Research Areas
  • Atmospheric and Environmental Gas Dynamics
  • Plant Water Relations and Carbon Dynamics
  • Peatlands and Wetlands Ecology
  • Climate variability and models
  • Fire effects on ecosystems
  • Hydrology and Watershed Management Studies
  • Forest ecology and management
  • Remote Sensing in Agriculture
  • Soil Carbon and Nitrogen Dynamics
  • Land Use and Ecosystem Services
  • Forest Management and Policy
  • Soil Geostatistics and Mapping
  • Atmospheric chemistry and aerosols
  • Remote Sensing and LiDAR Applications
  • Catalytic Processes in Materials Science
  • Atmospheric Ozone and Climate
  • Climate change and permafrost
  • Catalysts for Methane Reforming
  • Rangeland Management and Livestock Ecology
  • Environmental and Agricultural Sciences
  • CO2 Reduction Techniques and Catalysts
  • Soil erosion and sediment transport
  • Cryospheric studies and observations
  • Methane Hydrates and Related Phenomena
  • Remote-Sensing Image Classification

University of Science and Technology of China
2017-2025

Western Geographic Science Center
2014-2025

United States Geological Survey
2015-2025

Institute of Tibetan Plateau Research
2022

Chinese Academy of Sciences
2011-2022

Menlo School
2019

Pacific Science Center
2015-2019

Dalian Institute of Chemical Physics
2011-2017

University of Chinese Academy of Sciences
2014

Stinger Ghaffarian Technologies (United States)
2009-2013

[1] Forest disturbances greatly alter the carbon cycle at various spatial and temporal scales. It is critical to understand disturbance regimes their impacts better quantify regional global dynamics. This review of status major challenges in representing modeling dynamics across North America revealed some advances challenges. First, significant have been made representation, scaling, characterization that should be included efforts. Second, there a need develop effective comprehensive...

10.1029/2010jg001585 article EN Journal of Geophysical Research Atmospheres 2011-08-18

Abstract While wetlands are the largest natural source of methane (CH 4 ) to atmosphere, they represent a large uncertainty in global CH budget due complex biogeochemical controls on dynamics. Here we present, our knowledge, first multi‐site synthesis how predictors fluxes (FCH4) freshwater vary across wetland types at diel, multiday (synoptic), and seasonal time scales. We used several statistical approaches (correlation analysis, generalized additive modeling, mutual information, random...

10.1111/gcb.15661 article EN Global Change Biology 2021-04-29

Intense grazing may lead to grassland degradation on the Qinghai-Tibetan Plateau, but it is difficult predict where this will occur and quantify it. Based a process-based ecosystem model, we define productivity-based stocking rate threshold that induces extreme assess whether current activity in region sustainable. We find below ~80% of areas, 55% these grasslands exceeds half threshold. According our model projections, positive effects climate change including elevated CO2 can partly offset...

10.1038/s41467-023-42099-4 article EN cc-by Nature Communications 2023-10-12

Abstract. A new process-based model TRIPLEX-GHG was developed based on the Integrated Biosphere Simulator (IBIS), coupled with a methane (CH4) biogeochemistry module (incorporating CH4 production, oxidation, and transportation processes) water table to investigate emission processes dynamics that occur in natural wetlands. Sensitivity analysis indicates most sensitive parameters evaluate from wetlands are r (defined as CO2 release ratio) Q10 production process. These two were subsequently...

10.5194/gmd-7-981-2014 article EN cc-by Geoscientific model development 2014-05-26

Changes in land use and cover (LULC) can have profound effects on terrestrial carbon dynamics, yet their the global budget remain uncertain. While change impacts ecosystem dynamics been focus of numerous studies, few efforts based observational data incorporating multiple types spanning large geographic areas over long time horizons. In this study we a variety synoptic-scale remote sensing to estimate effect LULC changes associated with urbanization, agricultural expansion contraction,...

10.1088/1748-9326/aab540 article EN cc-by Environmental Research Letters 2018-03-08

China has committed to achieving peak CO2 emissions before 2030 and carbon neutrality 2060; therefore, accelerated efforts are needed better understand accounting in industry energy fields as well terrestrial ecosystems. The sink capacity of plantation forests contributes the mitigation climate change. Plantation throughout world intensively managed, there is an urgent need evaluate effects such management on long-term dynamics. We assessed cycling patterns ecosystems characterized by three...

10.1016/j.fecs.2022.100004 article EN cc-by Forest Ecosystems 2022-01-01

Abstract Wetlands are responsible for 20%–31% of global methane (CH 4 ) emissions and account a large source uncertainty in the CH budget. Data‐driven upscaling fluxes from eddy covariance measurements can provide new independent bottom‐up estimates wetland emissions. Here, we develop six‐predictor random forest model (UpCH4), trained on 119 site‐years flux data 43 freshwater sites FLUXNET‐CH4 Community Product. Network patterns site‐level annual means mean seasonal cycles were reproduced...

10.1029/2023av000956 article EN cc-by AGU Advances 2023-09-06

Development of efficient catalysts with high H2O molecule activation ability holds great importance for H2 production. Herein, enzyme-mimic Mg single atoms (SACs) coordinated by B/N-doped carbon nanotube (BNC), was constructed as a high-performance support ruthenium (Ru) nano-clusters. Dual functions SACs were discovered, where the beneath Ru built an interfacial electron polarization, inducing transfer from to Mg-BNC support. In addition, oxyphilic adjacent could actively participate in...

10.1002/anie.202424316 article EN Angewandte Chemie International Edition 2025-01-31

Abstract Six commonly used nonlinear growth functions were fitted to individual tree height-diameter data of nine major species in Ontario's boreal forests. A total 22,571 trees was collected from new permanent sample plots across the northeast and northwest Ontario.The available for each split into two sets: majority (90%) estimate model parameters, remaining (10%) reserved validate models. The performance models compared evaluated by model, R2, mean difference, absolute difference. results...

10.1093/njaf/18.3.87 article EN Northern Journal of Applied Forestry 2001-09-01

HCO insertion into CHx exhibits superior or similar activity to CO and carbene coupling according DFT calculations, which thus reveal a new reaction channel for chain growth in syngas conversion. The picture shows schematically the lower barrier versus optimized transition state of CH2.

10.1002/anie.201100735 article EN Angewandte Chemie International Edition 2011-05-06

Abstract Aim The fluctuations of atmospheric methane ( CH 4 ) that have occurred in recent decades are not fully understood, particularly with regard to the contribution from wetlands. application spatially explicit parameters has been suggested as an effective method for reducing uncertainties bottom‐up approaches wetland emissions, but included studies. Our goal was estimate spatio‐temporal patterns global emissions using a process model and then identify fluctuations. Location Global....

10.1111/geb.12307 article EN Global Ecology and Biogeography 2015-04-07

Abstract Terrestrial ecosystems are an important sink for atmospheric carbon dioxide (CO 2 ), sequestering ~30% of annual anthropogenic emissions and slowing the rise CO . However, future direction magnitude land is highly uncertain. We examined how historical projected changes in climate, use, ecosystem disturbances affect balance terrestrial California over period 2001–2100. modeled 32 unique scenarios, spanning 4 use radiative forcing scenarios as simulated by four global climate models....

10.1111/gcb.14677 article EN cc-by Global Change Biology 2019-05-08

Strategies for mitigating the global greenhouse effect must account soil organic carbon (SOC) dynamics at both spatial and temporal scales, which is usually challenging owing to limitations in data approach. This study was conducted characterize SOC associated with land use change history northwestern Great Plains ecoregion. A sampling framework (40 sample blocks of 10 × km 2 randomly located ecoregion) General Ensemble Biogeochemical Modeling System (GEMS) were used quantify variability...

10.1029/2005gb002536 article EN Global Biogeochemical Cycles 2005-08-16

he Energy Independence and Security Act of 2007 (EISA), Section 712, mandates the U.S. Department Interior to develop a methodology conduct an assessment Nation’s ecosystems, focusing on carbon stocks, sequestration, emissions three greenhouse gases (GHGs): dioxide, methane, nitrous oxide. The major requirements include (1) all ecosystems (terrestrial systems, such as forests, croplands, wetlands, grasslands/shrublands; aquatic rivers, lakes, estuaries); (2) estimate annual potential...

10.3133/sir20105233 article EN Scientific investigations report 2010-01-01

Unsupported Co–Co2C catalyst and active carbon supported (Co–Co2C/AC) catalysts were prepared have been first proven to be highly for 1-hexene hydroformylation under low pressure (P = 3.0 MPa T 453 K). It is found that the catalytic performances over Co–Co2C/AC strongly dependent on ratio of Co2C Co. Highly achieved with XRD intensity Co ranging from 0.7 1.2. carburization 20 h has a stability time stream 140 h, indicating no dissolved cobalt carbonyl species formed thus led elusion during...

10.1021/jp504215y article EN The Journal of Physical Chemistry C 2014-07-29

Methane (CH4 ) emissions from tropical wetlands contribute 60%-80% of global natural wetland CH4 emissions. Decreased can act as a negative feedback mechanism for future climate warming and vice versa. The impact the El Niño-Southern Oscillation (ENSO) on remains poorly quantified at both regional scales, Niño events are expected to become more severe based models' projections. We use process-based model investigate impacts ENSO in period 1950 2012. results show that respond strongly...

10.1111/gcb.13726 article EN Global Change Biology 2017-04-18
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