Min Chen

ORCID: 0000-0001-6311-7124
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About
Contact & Profiles
Research Areas
  • Atmospheric and Environmental Gas Dynamics
  • Plant Water Relations and Carbon Dynamics
  • Remote Sensing in Agriculture
  • Climate variability and models
  • Land Use and Ecosystem Services
  • Meteorological Phenomena and Simulations
  • Atmospheric chemistry and aerosols
  • Species Distribution and Climate Change
  • Atmospheric aerosols and clouds
  • Hydrology and Watershed Management Studies
  • Soil Carbon and Nitrogen Dynamics
  • Remote Sensing and Land Use
  • Remote Sensing and LiDAR Applications
  • Solar Radiation and Photovoltaics
  • Methane Hydrates and Related Phenomena
  • Air Quality and Health Impacts
  • Atmospheric Ozone and Climate
  • Climate change and permafrost
  • Geology and Paleoclimatology Research
  • Peatlands and Wetlands Ecology
  • Bacteriophages and microbial interactions
  • Membrane Separation Technologies
  • Plant responses to elevated CO2
  • Ecology and Vegetation Dynamics Studies
  • Adsorption and biosorption for pollutant removal

University of Wisconsin–Madison
2021-2025

East China Normal University
2025

Wuhan University of Technology
2009-2025

China Three Gorges Corporation (China)
2010-2025

People's Hospital of Xinjiang Uygur Autonomous Region
2025

Institute of Botany
2018-2025

Weifang People's Hospital
2025

China Meteorological Administration
2017-2024

Fujian Institute of Oceanography
2012-2024

Ministry of Natural Resources
2019-2024

Vegetation phenology controls the seasonality of many ecosystem processes, as well numerous biosphere-atmosphere feedbacks. Phenology is also highly sensitive to climate change and variability. Here we present a series datasets, together consisting almost 750 years observations, characterizing vegetation in diverse ecosystems across North America. Our data are derived from conventional, visible-wavelength, automated digital camera imagery collected through PhenoCam network. For each archived...

10.1038/sdata.2018.28 article EN cc-by Scientific Data 2018-03-13

Column kinetics for metal removal could be described more adequately by a modified dose–response model than the Thomas or Bohart–Adams conventionally used. The new empirical can used either in linearized form non-linearized form. Use of minimizes error resulting from use model, especially at lower higher time periods breakthrough curve.

10.1260/0263617011493953 article EN Adsorption Science & Technology 2001-02-01

It is thought that monensin increases the efficiency of feed utilization by cattle altering rumen fermentation. We studied effect and related ionophore antibiotic lasalocid-sodium (Hoffman-LaRoche) on growth methanogenic saccharolytic bacteria in a complex medium containing fluid. Ruminococcus albus, flavefaciens , Butyrivibrio fibrisolvens were inhibited 2.5 μg or lasalocid per ml. Growth Bacteroides succinogenes ruminicola was delayed Populations B. resistant to 20 either drug ml rapidly...

10.1128/aem.38.1.72-77.1979 article EN Applied and Environmental Microbiology 1979-07-01

Abstract Global future land use (LU) is an important input for Earth system models projecting dynamics and critical many modeling studies on global change. Here we generated a new gridded LU dataset using the Change Analysis Model (GCAM) spatial downscaling model, named Demeter, under five Shared Socioeconomic Pathways (SSPs) four Representative Concentration (RCPs) scenarios. Compared to existing similar datasets, presented has higher resolution (0.05° × 0.05°) spreads more comprehensive...

10.1038/s41597-020-00669-x article EN cc-by Scientific Data 2020-10-02

Abstract Wetland methane (CH 4 ) emissions over the Boreal–Arctic region are vulnerable to climate change and linked feedbacks, yet understanding of their long-term dynamics remains uncertain. Here, we upscaled analysed two decades (2002–2021) wetland CH emissions, representing an unprecedented compilation eddy covariance chamber observations. We found a robust increasing trend (+8.9%) with strong inter-annual variability. The majority emission increases occurred in early summer (June July)...

10.1038/s41558-024-01933-3 article EN cc-by Nature Climate Change 2024-02-14

AbstractThis study used several model-based tools to analyse the dynamics of Arctic Basin between 1997 and 2006 as a linked system land-ocean-atmosphere C exchange. The analysis estimates that terrestrial areas lost 62.9 Tg yr-1 Ocean gained 94.1 yr-1. lands oceans were net CO2 sink 108.9 yr-1, which is within range uncertainty in from atmospheric inversions. Although both estimated be sinks, land diminished strength because increased fire disturbance compared previous decades, while ocean...

10.1111/j.1600-0889.2010.00497.x article EN cc-by Tellus B 2010-01-01

Abstract Soil consumption of atmospheric methane plays an important secondary role in regulating the CH 4 budget, next to dominant loss mechanism involving reaction with hydroxyl radical (OH). Here we used a process‐based biogeochemistry model quantify soil during 20th and 21st centuries. We estimated that global soils consumed 32–36 Tg yr −1 1990s. Natural ecosystems accounted for 84% total consumption, agricultural only 5 our estimations. During twentieth century, rates increased at...

10.1002/gbc.20057 article EN Global Biogeochemical Cycles 2013-06-14

Permafrost thaw and the subsequent mobilization of carbon (C) stored in previously frozen soil organic matter (SOM) have potential to be a strong positive feedback climate. As northern permafrost region experiences as much doubling rate warming rest Earth, vast amount C soils is vulnerable thaw, decomposition release atmospheric greenhouse gases. Diagnostic predictive estimates high-latitude terrestrial fluxes vary widely among different models depending on how dynamics permafrost,...

10.1088/1748-9326/9/4/045005 article EN cc-by Environmental Research Letters 2014-04-01

Terrestrial gross primary productivity (GPP) is the largest component of global carbon cycle and a key process for understanding land ecosystems dynamics. In this study, we used GPP estimates from combination eight biome models participating in Inter-Sectoral Impact-Model Intercomparison Project phase 2a (ISIMIP2a), Moderate Resolution Spectroradiometer (MODIS) product, data-driven product (Model Tree Ensemble, MTE) to study spatiotemporal variability at regional levels. We found 2000–2010...

10.1088/1748-9326/aa8978 article EN cc-by Environmental Research Letters 2017-09-28

Abstract Substantial uncertainty exists in daily and sub-daily gross primary production (GPP) estimation, which dampens accurate monitoring of the global carbon cycle. Here we find that near-infrared radiance vegetation (NIR v,Rad ), defined as product observed NIR normalized difference index, can accurately estimate corn soybean GPP at half-hourly time scales, benchmarked with multi-year tower-based three sites different environmental irrigation conditions. Overall, explains 84% 78%...

10.1088/1748-9326/ab65cc article EN cc-by Environmental Research Letters 2019-12-27

Abstract Future changes in climate and socioeconomic systems will drive both the availability use of water resources, leading to evolutions scarcity. The contributions can be quantified individually understand impacts around world, but also combined explore how coevolution energy-water-land affects not only driver behind scarcity changes, human interact tandem alter Here we investigate relative on under Shared Socioeconomic Pathways-Representative Concentration Pathways framework. While...

10.1088/1748-9326/ab639b article EN cc-by Environmental Research Letters 2019-12-18

Theoretical and eddy covariance studies demonstrate that aerosol-loading stimulates canopy photosynthesis, but field evidence for the aerosol effect on tree growth is limited. Here, we measured in situ daily stem rates of aspen trees under a wide range China. The results showed were positively correlated with aerosol-loading, even at exceptionally high levels. Using structural equation modeling analysis, variations can be largely attributed to two environmental variables covarying loading:...

10.1111/gcb.14339 article EN Global Change Biology 2018-06-01
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