Min Chen

Prof. Min Chen

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Assistant Professor

Russell Labs
1630 Linden Drive
Madison, WI 53706
E-mail: mchen392@wisc.edu

Lab Website


Terrestrial ecosystem/land surface modeling, remote sensing theory and applications, human-Earth system interactions



Institution Major Field Granted
PhD Purdue University Earth & Atmospheric Sciences 2013
MS Beijing Normal University Remote Sensing and GIS 2008
BS Beijing Normal University Computer Science 2005

Professional Experience

Institution Title Years
Department of Global Ecology, Carnegie Institution for Science at Stanford University Barbara McClintock Fellow 2015-2016
Department of Organismic and Evolutionary Biology, Harvard University Postdoctoral Fellow 2013-2015


Courses Taught

Fall 2021 – FWE550 Forest Ecology

Number of Credits: 3.0

Instructor: Phil Townsend

Co-Instructor: Natalie Queally, Eric Kruger, and Min Chen


Lab members in Bold


(71) Li, F.Hao, D.Zhu, Q.Yuan, K.Braghiere, R. K.He, L.Luo, X.Wei, S.Riley, W. J., Zeng, Y., & Chen, M. (2022). Vegetation clumping modulates global photosynthesis through adjusting canopy light environmentGlobal Change Biology001– 16https://doi.org/10.1111/gcb.16503

(70) Chen, M. (2022) Acceleration of vegetation phenological changes. Global Change Biology, 00, 1– 2. https://doi.org/10.1111/gcb.16430

(69) Yuan, K., Zhu, Q., Li, F., Riley, W. J., Torn, M., Chu, H., McNicol, G., Chen, M., Knox, S., Delwiche, K., Wu, H., Baldocchi, D., Ma, H., Desai, A. R., Chen, J., Sachs, T., Ueyama, M., Sonnentag, O., Helbig, M., … Jackson, R. (2022). Causality guided machine learning model on wetland CH4 emissions across global wetlands. Agricultural and Forest Meteorology, 324, 109115. https://doi.org/10.1016/j.agrformet.2022.109115

(68) Wu, G.; Guan, K.; Jiang, C.; Kimm, H.; Miao, G.; Bernacchi, C.J.; Moore, C.E., Ainsworth, E.A.; Yang, X.; Berry, J.A.; Frankenberg, C.; Chen, M. Attributing differences of solar-induced chlorophyll fluorescence (SIF)-gross primary production (GPP) relationships between two C4 crops: corn and miscanthus, Agricultural and Forest Meteorology, 2022, 323, 109046, ISSN 0168-1923, https://doi.org/10.1016/j.agrformet.2022.109046.

(67) Zeng, Y.; Hao, D.; Huete, A.; Dechant, B.; Berry, J.; Chen, J.M.; Joiner, J.; Frankenberg, C.; Bond-Lamberty, B.; Ryu, Y.; Xiao, J.; Asrar, G.; Chen, M. Optical vegetation indices for monitoring terrestrial ecosystems globally. Nature Reviews Earth & Environment. 2022, https://doi.org/10.1038/s43017-022-00298-5 Click to read

(66) Li, L.; Li, X.; Asrar, G.; Zhou, Y.; Chen, M.; Zeng, Y.; Li, X.; Li, F.; Luo, M.; Sapkota, A.; Hao, D. Detection and attribution of long-term and fine-scale changes in spring phenology over urban areas: A case study in New York State. International Journal of Applied Earth Observation and Geoinformation. 2022, 110, 102815. https://doi.org/10.1016/j.jag.2022.102815

(65) Hao, D.; Zeng, Y.; Zhang, Z.; Zhang, Y.; Qiu, H.; Biriukova, K.; Celesti, M.; Rossini, M.; Zhu, P.; Asrar, G. R.; Chen, M. Adjusting Solar-Induced Fluorescence to Nadir-Viewing Provides a Better Proxy for GPP. ISPRS J. Photogramm. Remote Sens. 2022, 186, 157–169. https://doi.org/10.1016/j.isprsjprs.2022.01.016.

(64) Zeng, Y.; Chen, M.; Hao, D.; Damm, A.; Badgley, G.; Rascher, U.; Johnson, J. E.; Dechant, B.; Siegmann, B.; Ryu, Y.; Qiu, H.; Krieger, V.; Panigada, C.; Celesti, M.; Miglietta, F.; Yang, X.; Berry, J. A. Combining Near-Infrared Radiance of Vegetation and Fluorescence Spectroscopy to Detect Effects of Abiotic Changes and Stresses. Remote Sens. Environ. 2022, 270, 112856. https://doi.org/10.1016/j.rse.2021.112856.

(63) Li, L.; Hao, D.; Li, X.; Chen, M.; Zhou, Y.; Jurgens, D.; Asrar, G.; Sapkota, A. Satellite-Based Phenology Products and in-Situ Pollen Dynamics: A Comparative Assessment. Environmental Research 2022, 204, 111937. https://doi.org/10.1016/j.envres.2021.111937.


(62) Kimm, H.; Guan, K.; Jiang, C.; Miao, G.; Wu, G.; Suyker, A. E.; Ainsworth, E. A.; Bernacchi, C. J.; Montes, C. M.; Berry, J.; Yang, X.; Frankenberg, C.; Chen, M.; Koehler, P. A Physiological Signal Derived from Sun-Induced Chlorophyll Fluorescence Quantifies Crop Physiological Response to Environmental Stresses in the U.S. Corn Belt. Environ. Res. Lett. 2021. https://doi.org/10.1088/1748-9326/ac3b16.

(61) Cao, B.; Yu, L.; Li, X.; Chen, M.; Li, X.; Hao, P.; Gong, P. A 1-Km Global Cropland Dataset from 10000 BCE to 2100 CE. Earth System Science Data 2021, 13 (11), 5403–5421. https://doi.org/10.5194/essd-13-5403-2021.

(60) Qiu, H.; Qi, J.; Lee, S.; Moglen, G. E.; McCarty, G. W.; Chen, M.; Zhang, X. Effects of Temporal Resolution of River Routing on Hydrologic Modeling and Aquatic Ecosystem Health Assessment with the SWAT Model. Environmental Modelling & Software 2021, 146, 105232. https://doi.org/10.1016/j.envsoft.2021.105232.

(59)   Zeng, Y.; Hao, D.; Badgley, G.; Damm, A.; Rascher, U.; Ryu, Y.; Johnson, J.; Krieger, V.; Wu, S.; Qiu, H.; Liu, Y.; Berry, J. A.; Chen, M. Estimating Near-Infrared Reflectance of Vegetation from Hyperspectral Data. Remote Sensing of Environment 2021, 267, 112723. https://doi.org/10.1016/j.rse.2021.112723.

(58) Wolf, J.; Chen, M.; Asrar, G. R. Global Rangeland Primary Production and Its Consumption by Livestock in 2000–2010. Remote Sensing 2021, 13 (17), 3430. https://doi.org/10.3390/rs13173430.

(57) Yang, X.; Xu, X.; Stovall, A.; Chen, M.; Lee, J.‐E. Recovery: Fast and Slow – vegetation response during the 2012‐2016 California Drought. Journal of Geophysical Research: Biogeosciences, 126, e2020JG005976. https://doi.org/10.1029/2020JG005976

(56) Wang, X.; Wang, C.; Wu, J.; Miao, G.; Chen, M.; Chen, S.; Wang, S.; Guo, Z.; Wang, Z.; Wang, B.; Li, J.; Zhao Y.; Wu, X.; Zhao, C.; Lin, W.; Zhang, Y.; Liu, L.. Intermediate aerosol loading enhances photosynthetic activity of croplands. Geophysical Research Letters, 48, e2020GL091893. https://doi.org/10.1029/2020GL091893

(55) Wang, B.; Wang, Z.; Wang, C.; Wang, X.; Li, J.; Jia, Z.; Li, P.; Wu, J.; Chen, M.; Liu, L. Field evidence reveals conservative water use of poplar saplings under high aerosol conditions. J Ecol. 2021; 00: 1– 13. https://doi.org/10.1111/1365‐2745.13633

(54) Hao, D.; Asrar, G. R.; Zeng, Y.; Yang, X.; Li, X.; Xiao, J.; Guan, K.; Wen, J.; Xiao, Q.; Berry, J. A.; Chen, M. Potential of hotspot solar-induced chlorophyll fluorescence for better tracking terrestrial photosynthesis. Global Change Biology. 2021, https://doi.org/10.1111/gcb.15554.

(53) Hao, D.; Zeng, Y.; Qiu, H.; Biriukova, K.; Celesti, M.; Migliavacca, M.; Rossini, M.; Asrar, G. R.; Chen, M. Practical Approaches for Normalizing Directional Solar-Induced Fluorescence to a Standard Viewing Geometry. Remote Sens. Environ. 2021, 255, 112171. https://doi.org/10.1016/j.rse.2020.112171.

(52) Yuan, K.; Zhu, Q.; Zheng, S.; Zhao, L.; Chen, M.; Riley, W. J.; Cai, X.; Ma, H.; Li, F.; Wu, H.; Chen, L. Deforestation Reshapes Land-Surface Energy-Flux Partitioning. Environ. Res. Lett. 2021. https://doi.org/10.1088/1748-9326/abd8f9.

(51) Liu, Y.; Chen, D.; Mouatadid, S.; Lu, X.; Chen, M.; Cheng, Y.; Xie, Z.; Jia, B.; Wu, H.; Gentine, P. Development of a Daily Multi-Layer Cropland Soil Moisture Dataset for China Using Machine Learning and Application to Cropping Patterns. J. Hydrometeorol. 2021, 22 (2). https://doi.org/10.1175/JHM-D-19-0301.1.

(50) Wu, S.; Zeng, Y.; Hao, D.; Liu, Q.; Li, J.; Chen, X.; Asrar, G. R.; Yin, G.; Wen, J.; Yang, B.; Zhu, P.; Chen, M. Quantifying Leaf Optical Properties with Spectral Invariants Theory. Remote Sens. Environ. 2021, 253, 112131. https://doi.org/10.1016/j.rse.2020.112131.


(49) Chen, M.; Caldeira, K. Climate Change as an Incentive for Future Human Migration. Earth Syst. Dyn. 2020, 11 (4), 875–883. https://doi.org/10.5194/esd-11-875-2020.

(48) Chen, M.; Vernon, C. R.; Graham, N. T.; Hejazi, M.; Huang, M.; Cheng, Y.; Calvin, K. Global Land Use for 2015–2100 at 0.05° Resolution under Diverse Socioeconomic and Climate Scenarios. Sci. Data 2020, 7 (1), 320. https://doi.org/10.1038/s41597-020-00669-x.

(47) Cheng, Y.; Huang, M.; Chen, M.; Guan, K.; Bernacchi, C.; Peng, B.; Tan, Z. Parameterizing Perennial Bioenergy Crops in Version 5 of the Community Land Model Based on Site-Level Observations in the Central Midwestern United States. J. Adv. Model. Earth Syst. 2020, 12 (1), e2019MS001719. https://doi.org/10.1029/2019MS001719.

(46) Graham, N. T.; Hejazi, M. I.; Chen, M.; Davies, E. G. R.; Edmonds, J. A.; Kim, S. H.; Turner, S. W. D.; Li, X.; Vernon, C. R.; Calvin, K.; Miralles-Wilhelm, F.; Clarke, L.; Kyle, P.; Link, R.; Patel, P.; Snyder, A. C.; Wise, M. A. Humans Drive Future Water Scarcity Changes across All Shared Socioeconomic Pathways. Environ. Res. Lett. 2020, 15 (1), 014007. https://doi.org/10.1088/1748-9326/ab639b.

(45) Hao, D.; Asrar, G. R.; Zeng, Y.; Zhu, Q.; Wen, J.; Xiao, Q.; Chen, M. DSCOVR/EPIC-Derived Global Hourly and Daily Downward Shortwave and Photosynthetically Active Radiation Data at 0.1° × 0.1° Resolution. Earth Syst. Sci. Data 2020, 12 (3), 2209–2221. https://doi.org/10.5194/essd-12-2209-2020.

(44) Ito, A.; Reyer, C. P. O.; Gädeke, A.; Ciais, P.; Chang, J.; Chen, M.; François, L.; Forrest, M.; Hickler, T.; Ostberg, S.; Shi, H.; Thiery, W.; Tian, H. Pronounced and Unavoidable Impacts of Low-End Global Warming on Northern High-Latitude Land Ecosystems. Environ. Res. Lett. 2020, 15 (4), 044006. https://doi.org/10.1088/1748-9326/ab702b.

(43) Wang, J.; Yang, D.; Detto, M.; Nelson, B. W.; Chen, M.; Guan, K.; Wu, S.; Yan, Z.; Wu, J. Multi-Scale Integration of Satellite Remote Sensing Improves Characterization of Dry-Season Green-up in an Amazon Tropical Evergreen Forest. Remote Sens. Environ. 2020, 246, 111865. https://doi.org/10.1016/j.rse.2020.111865.

(42) Wang, C.; Guan, K.; Peng, B.; Chen, M.; Jiang, C.; Zeng, Y.; Wu, G.; Wang, S.; Wu, J.; Yang, X.; Frankenberg, C.; Köhler, P.; Berry, J.; Bernacchi, C.; Zhu, K.; Alden, C.; Miao, G. Satellite Footprint Data from OCO-2 and TROPOMI Reveal Significant Spatio-Temporal and Inter-Vegetation Type Variabilities of Solar-Induced Fluorescence Yield in the U.S. Midwest. Remote Sens. Environ. 2020, 241, 111728. https://doi.org/10.1016/j.rse.2020.111728.

(41) Weber, M.; Hao, D.; Asrar, G. R.; Zhou, Y.; Li, X.; Chen, M. Exploring the Use of DSCOVR/EPIC Satellite Observations to Monitor Vegetation Phenology. Remote Sens. 2020, 12 (15), 2384. https://doi.org/10.3390/rs12152384.

(40) Wu, G.; Guan, K.; Jiang, C.; Peng, B.; Kimm, H.; Chen, M.; Yang, X.; Wang, S.; Suyker, A. E.; Bernacchi, C. J.; Moore, C. E.; Zeng, Y.; Berry, J. A.; Cendrero-Mateo, M. P. Radiance-Based NIRv as a Proxy for GPP of Corn and Soybean. Environ. Res. Lett. 2020, 15 (3), 034009. https://doi.org/10.1088/1748-9326/ab65cc.

(39) Zeng, Y.; Badgley, G.; Chen, M.; Li, J.; Anderegg, L. D. L.; Kornfeld, A.; Liu, Q.; Xu, B.; Yang, B.; Yan, K.; Berry, J. A. A Radiative Transfer Model for Solar Induced Fluorescence Using Spectral Invariants Theory. Remote Sens. Environ. 2020, 240, 111678. https://doi.org/10.1016/j.rse.2020.111678.

(38) Zeng, Y.; Li, J.; Liu, Q.; Huete, A. R.; Xu, B.; Yin, G.; Fan, W.; Ouyang, Y.; Yan, K.; Hao, D.; Chen, M. A Radiative Transfer Model for Patchy Landscapes Based on Stochastic Radiative Transfer Theory. IEEE Trans. Geosci. Remote Sens. 2020, 58 (4), 2571–2589. https://doi.org/10.1109/TGRS.2019.2952377.


(37) Bond-Lamberty, B.; Dorheim, K.; Cui, R.; Horowitz, R.; Snyder, A.; Calvin, K.; Feng, L.; Hoesly, R.; Horing, J.; Kyle, G. P.; Link, R.; Patel, P.; Roney, C.; Staniszewski, A.; Turner, S.; Chen, M.; Feijoo, F.; Hartin, C.; Hejazi, M.; Iyer, G.; Kim, S.; Liu, Y.; Lynch, C.; McJeon, H.; Smith, S.; Waldhoff, S.; Wise, M.; Clarke, L. Gcamdata: An R Package for Preparation, Synthesis, and Tracking of Input Data for the GCAM Integrated Human-Earth Systems Model. J. Open Res. Softw. 2019, 7 (1), 6. https://doi.org/10.5334/jors.232.

(36) Chen, M.; Vernon, C. R.; Huang, M.; Calvin, K. V.; Kraucunas, I. P. Calibration and Analysis of the Uncertainty in Downscaling Global Land Use and Land Cover Projections from GCAM Using Demeter (v1.0.0). Geosci. Model Dev. 2019, 12 (5), 1753–1764. https://doi.org/10.5194/gmd-12-1753-2019.

(35) Hao, D.; Asrar, G. R.; Zeng, Y.; Zhu, Q.; Wen, J.; Xiao, Q.; Chen, M. Estimating Hourly Land Surface Downward Shortwave and Photosynthetically Active Radiation from DSCOVR/EPIC Observations. Remote Sens. Environ. 2019, 232, 111320. https://doi.org/10.1016/j.rse.2019.111320.

(34) Huang, Z.; Hejazi, M.; Tang, Q.; Vernon, C. R.; Liu, Y.; Chen, M.; Calvin, K. Global Agricultural Green and Blue Water Consumption under Future Climate and Land Use Changes. J. Hydrol. 2019, 574, 242–256. https://doi.org/10.1016/j.jhydrol.2019.04.046.

(33) Zeng, Y.; Badgley, G.; Dechant, B.; Ryu, Y.; Chen, M.; Berry, J. A. A Practical Approach for Estimating the Escape Ratio of Near-Infrared Solar-Induced Chlorophyll Fluorescence. Remote Sens. Environ. 2019, 232, 111209. https://doi.org/10.1016/j.rse.2019.05.028.


(32) Bond-Lamberty, B.; Bailey, V. L.; Chen, M.; Gough, C. M.; Vargas, R. Globally Rising Soil Heterotrophic Respiration over Recent Decades. Nature 2018, 560 (7716), 80–83. https://doi.org/10.1038/s41586-018-0358-x.

(31) Guan, K.; Good, S. P.; Caylor, K. K.; Medvigy, D.; Pan, M.; Wood, E. F.; Sato, H.; Biasutti, M.; Chen, M.; Ahlström, A.; Xu, X. Simulated Sensitivity of African Terrestrial Ecosystem Photosynthesis to Rainfall Frequency, Intensity, and Rainy Season Length. Environ. Res. Lett. 2018, 13 (2), 025013. https://doi.org/10.1088/1748-9326/aa9f30.

(30) Peng, B.; Guan, K.; Chen, M.; Lawrence, D. M.; Pokhrel, Y.; Suyker, A.; Arkebauer, T.; Lu, Y. Improving Maize Growth Processes in the Community Land Model: Implementation and Evaluation. Agric. For. Meteorol. 2018, 250–251, 64–89. https://doi.org/10.1016/j.agrformet.2017.11.012.

(29) Richardson, A. D.; Hufkens, K.; Milliman, T.; Aubrecht, D. M.; Chen, M.; Gray, J. M.; Johnston, M. R.; Keenan, T. F.; Klosterman, S. T.; Kosmala, M.; Melaas, E. K.; Friedl, M. A.; Frolking, S. Tracking Vegetation Phenology across Diverse North American Biomes Using PhenoCam Imagery. Sci. Data 2018, 5 (1), 180028. https://doi.org/10.1038/sdata.2018.28.

(28) Sihi, D.; Davidson, E. A.; Chen, M.; Savage, K. E.; Richardson, A. D.; Keenan, T. F.; Hollinger, D. Y. Merging a Mechanistic Enzymatic Model of Soil Heterotrophic Respiration into an Ecosystem Model in Two AmeriFlux Sites of Northeastern USA. Agric. For. Meteorol. 2018, 252, 155–166. https://doi.org/10.1016/j.agrformet.2018.01.026.

(27) Vernon, C. R.; Page, Y. L.; Chen, M.; Huang, M.; Calvin, K. V.; Kraucunas, I. P.; Braun, C. J. Demeter – A Land Use and Land Cover Change Disaggregation Model. J. Open Res. Softw. 2018, 6 (1), 15. https://doi.org/10.5334/jors.208.

(26) Wang, X.; Wu, J.; Chen, M.; Xu, X.; Wang, Z.; Wang, B.; Wang, C.; Piao, S.; Lin, W.; Miao, G.; Deng, M.; Qiao, C.; Wang, J.; Xu, S.; Liu, L. Field Evidences for the Positive Effects of Aerosols on Tree Growth. Glob. Change Biol. 2018, 24 (10), 4983–4992. https://doi.org/10.1111/gcb.14339.


(25) Chen, M.; Rafique, R.; Asrar, G. R.; Bond-Lamberty, B.; Ciais, P.; Zhao, F.; Reyer, C. P. O.; Ostberg, S.; Chang, J.; Ito, A.; Yang, J.; Zeng, N.; Kalnay, E.; West, T.; Leng, G.; Francois, L.; Munhoven, G.; Henrot, A.; Tian, H.; Pan, S.; Nishina, K.; Viovy, N.; Morfopoulos, C.; Betts, R.; Schaphoff, S.; Steinkamp, J.; Hickler, T. Regional Contribution to Variability and Trends of Global Gross Primary Productivity. Environ. Res. Lett. 2017, 12 (10), 105005. https://doi.org/10.1088/1748-9326/aa8978.

(24) Lu, X.; Chen, M.; Liu, Y.; Miralles, D. G.; Wang, F. Enhanced Water Use Efficiency in Global Terrestrial Ecosystems under Increasing Aerosol Loadings. Agric. For. Meteorol. 2017, 237–238, 39–49. https://doi.org/10.1016/j.agrformet.2017.02.002.

(23) Wu, J.; Serbin, S. P.; Xu, X.; Albert, L. P.; Chen, M.; Meng, R.; Saleska, S. R.; Rogers, A. The Phenology of Leaf Quality and Its Within-Canopy Variation Is Essential for Accurate Modeling of Photosynthesis in Tropical Evergreen Forests. Glob. Change Biol. 2017, 23 (11), 4814–4827. https://doi.org/10.1111/gcb.13725.

2016 and before

(22) Carbone, M. S.; Richardson, A. D.; Chen, M.; Davidson, E. A.; Hughes, H.; Savage, K. E.; Hollinger, D. Y. Constrained Partitioning of Autotrophic and Heterotrophic Respiration Reduces Model Uncertainties of Forest Ecosystem Carbon Fluxes but Not Stocks. J. Geophys. Res. Biogeosciences 2016, 121 (9), 2476–2492. https://doi.org/10.1002/2016JG003386.

(21) Chen, M.; Melaas, E. K.; Gray, J. M.; Friedl, M. A.; Richardson, A. D. A New Seasonal-Deciduous Spring Phenology Submodel in the Community Land Model 4.5: Impacts on Carbon and Water Cycling under Future Climate Scenarios. Glob. Change Biol. 2016, 22 (11), 3675–3688. https://doi.org/10.1111/gcb.13326.

(20) Liu, S.; Chen, M.*; Zhuang, Q. Direct Radiative Effects of Tropospheric Aerosols on Changes of Global Surface Soil Moisture. Clim. Change 2016, 136 (2), 175–187. https://doi.org/10.1007/s10584-016-1611-7.

(19) Liu, S.; Zhuang, Q.; Chen, M.; Gu, L. Quantifying Spatially and Temporally Explicit CO2 Fertilization Effects on Global Terrestrial Ecosystem Carbon Dynamics. Ecosphere 2016, 7 (7), e01391. https://doi.org/10.1002/ecs2.1391.

(18) Jin, Z.; Zhuang, Q.; Dukes, J. S.; He, J.-S.; Sokolov, A. P.; Chen, M.; Zhang, T.; Luo, T. Temporal Variability in the Thermal Requirements for Vegetation Phenology on the Tibetan Plateau and Its Implications for Carbon Dynamics. Clim. Change 2016, 138 (3), 617–632. https://doi.org/10.1007/s10584-016-1736-8.

(17) Chen, M.; Zhuang, Q. Evaluating Aerosol Direct Radiative Effects on Global Terrestrial Ecosystem Carbon Dynamics from 2003 to 2010. Tellus B Chem. Phys. Meteorol. 2014, 66 (1), 21808. https://doi.org/10.3402/tellusb.v66.21808.

(16) Chen, M.; Zhuang, Q.; He, Y. An Efficient Method of Estimating Downward Solar Radiation Based on the MODIS Observations for the Use of Land Surface Modeling. Remote Sens. 2014, 6 (8), 7136–7157. https://doi.org/10.3390/rs6087136.

(15) Liu, S.; Chen, M.*; Zhuang, Q. Aerosol Effects on Global Land Surface Energy Fluxes during 2003–2010. Geophys. Res. Lett. 2014, 41 (22), 7875–7881. https://doi.org/10.1002/2014GL061640.

(14) Hayes, D. J.; Kicklighter, D. W.; McGuire, A. D.; Chen, M.; Zhuang, Q.; Yuan, F.; Melillo, J. M.; Wullschleger, S. D. The Impacts of Recent Permafrost Thaw on Land–Atmosphere Greenhouse Gas Exchange. Environ. Res. Lett. 2014, 9 (4), 045005. https://doi.org/10.1088/1748-9326/9/4/045005.

(13) He, Y.; Zhuang, Q.; McGuire, A. D.; Liu, Y.; Chen, M. Alternative Ways of Using Field-Based Estimates to Calibrate Ecosystem Models and Their Implications for Carbon Cycle Studies. J. Geophys. Res. Biogeosciences 2013, 118 (3), 983–993. https://doi.org/10.1002/jgrg.20080.

(12) Chen, M.; Zhuang, Q. Modelling Temperature Acclimation Effects on the Carbon Dynamics of Forest Ecosystems in the Conterminous United States. Tellus B Chem. Phys. Meteorol. 2013, 65 (1), 19156. https://doi.org/10.3402/tellusb.v65i0.19156.

(11) Zhuang, Q.; Qin, Z.; Chen, M. Biofuel, Land and Water: Maize, Switchgrass or Miscanthus ? Environ. Res. Lett. 2013, 8 (1), 015020. https://doi.org/10.1088/1748-9326/8/1/015020.

(10) Zhuang, Q.; Chen, M.; Xu, K.; Tang, J.; Saikawa, E.; Lu, Y.; Melillo, J. M.; Prinn, R. G.; McGuire, A. D. Response of Global Soil Consumption of Atmospheric Methane to Changes in Atmospheric Climate and Nitrogen Deposition. Glob. Biogeochem. Cycles 2013, 27 (3), 650–663. https://doi.org/10.1002/gbc.20057.

(9) Liu, Y.; Zhuang, Q.; Chen, M.; Pan, Z.; Tchebakova, N.; Sokolov, A.; Kicklighter, D.; Melillo, J.; Sirin, A.; Zhou, G.; He, Y.; Chen, J.; Bowling, L.; Miralles, D.; Parfenova, E. Response of Evapotranspiration and Water Availability to Changing Climate and Land Cover on the Mongolian Plateau during the 21st Century. Glob. Planet. Change 2013, 108, 85–99. https://doi.org/10.1016/j.gloplacha.2013.06.008.

(8) Chen, M.; Zhuang, Q. Spatially Explicit Parameterization of a Terrestrial Ecosystem Model and Its Application to the Quantification of Carbon Dynamics of Forest Ecosystems in the Conterminous United States. Earth Interact. 2012, 16 (5), 1–22. https://doi.org/10.1175/2012EI400.1.

(7) Qin, Z.; Zhuang, Q.; Chen, M. Impacts of Land Use Change Due to Biofuel Crops on Carbon Balance, Bioenergy Production, and Agricultural Yield, in the Conterminous United States. GCB Bioenergy 2012, 4 (3), 277–288. https://doi.org/10.1111/j.1757-1707.2011.01129.x.

(6) Zhuang, Q.; Lu, Y.; Chen, M. An Inventory of Global N2O Emissions from the Soils of Natural Terrestrial Ecosystems. Atmos. Environ. 2012, 47, 66–75. https://doi.org/10.1016/j.atmosenv.2011.11.036.

(5) Zhu, X.; Zhuang, Q.; Chen, M.; Sirin, A.; Melillo, J.; Kicklighter, D.; Sokolov, A.; Song, L. Rising Methane Emissions in Response to Climate Change in Northern Eurasia during the 21st Century. Environ. Res. Lett. 2011, 6 (4), 045211. https://doi.org/10.1088/1748-9326/6/4/045211.

(4) Chen, M.; Zhuang, Q.; Cook, D. R.; Coulter, R.; Pekour, M.; Scott, R. L.; Munger, J. W.; Bible, K. Quantification of Terrestrial Ecosystem Carbon Dynamics in the Conterminous United States Combining a Process-Based Biogeochemical Model and MODIS and AmeriFlux Data. Biogeosciences 2011, 8 (9), 2665–2688. https://doi.org/10.5194/bg-8-2665-2011.

(3) Mcguire, A. D.; Hayes, D. J.; Kicklighter, D. W.; Manizza, M.; Zhuang, Q.; Chen, M.; Follows, M. J.; Gurney, K. R.; Mcclelland, J. W.; Melillo, J. M.; Peterson, B. J.; Prinn, R. G. An Analysis of the Carbon Balance of the Arctic Basin from 1997 to 2006. Tellus B Chem. Phys. Meteorol. 2010, 62 (5), 455–474. https://doi.org/10.1111/j.1600-0889.2010.00497.x.

(2) Huang, H.; Chen, M.; Liu, Q.; Liu, Q.; Zhang, Y.; Zhao, L.; Qin, W. A Realistic Structure Model for Large-Scale Surface Leaving Radiance Simulation of Forest Canopy and Accuracy Assessment. Int. J. Remote Sens. 2009, 30 (20), 5421–5439. https://doi.org/10.1080/01431160903130911.

(1) Chen, M; Jiang, Y.; Xi, X; Liu, Z. Application of Kernel Independent Component Analysis in Image Processing. Application Research of Computers. 2008. doi:cnki:sun:jsyj.02008-01-097 (In Chinese with English Abstract)