Andy Suyker

Andy Suyker

  • Contact Information
  • My Story
  • Publications
  • Background
  • Interests
  • Grants
  • Advising
  • Courses Taught

Contact Information

TitleMicrometeorologist
Faculty RankAssociate Professor
Address807 South Hardin Hall
3310 Holdrege Street
Lincoln NE
68583–0968
Phone
  • office: 402-472-2168
  • fax: 402-472-2946
E-mailasuyker1@unl.edu
VitaeDownload file

 

My Story

Hi, I'm Andy Suyker, research professor of micrometeorology in the School of Natural Resources.

My research interests include the exchanges of carbon dioxide (CO2) and water vapor in key agricultural and natural ecosystems. My work has quantified the seasonal and inter-annual variability of net ecosystem CO2 exchange and evapotranspiration, in irrigated and rain-fed maize-soybean cropping systems. I regularly collaborate with scientists in other disciplines at UNL and other institutions, to advance our knowledge of the carbon and water cycles and global climate change.

My appointment is 100% within SNR: 60% research and 40% scholarly service. I conduct research on the exchange of carbon dioxide, water vapor, and energy as part of the Carbon Sequestration Program (CSP) at three research sites at the Agricultural Research and Development Center in Mead, Nebraska.

My scholarly service work has provided me an opportunity to present our information on measured CO2 and water vapor fluxes at our study sites in Nebraska to a national archive. In response to individual requests, I provide data to scientists locally, nationally and internationally, for a variety of research applications related to the global carbon cycle and climate change.

In the fall semester I regularly present an instrument demonstration lecture on micrometerological instrumentation in NRES 408/808 "Microclimate: The Biological Environment." In addition, I serve as the faculty advisor for the UNL Club Hockey Team.

Selected Publications

McCombs, A., Hiscox, A., Suyker, A. 2019. Point to grid conversion in flux footprints: Implications of method choice and spatial resolution for regional scale studies. Boundary Layer Meteorology. 172: 457-479.Online
Safa, B., Arkebauer, T. J., Zhu, Q., Suyker, A., Irmak, S. 2019. Net Ecosystem Exchange (NEE) simulation in maize using artificial neural networks. IFAC Journal of Systems and Control. 7, 100036.Online
Suyker, A., Peng, Y., Kira, O., Nguy-Robertson, A., Suyker, A., Arkebauer, T., Sun, Y., Gitelson, A. A. 2019. Gross Primary Production Estimation in Crops Using Solely Remotely Sensed Data. Agronomy Journal. 3(6): 2981-2990.Online
Togliatti, K., Hartman, T., Walker, V. A., Arkebauer, T., Suyker, A., VanLoocke, A., Hornbuckle, B. K. 2019. Satellite L-band vegetation optical depth is directly proportional to crop water in the US Corn Belt. Remote Sensing of the Environment. 233, 1113Online
Zhan, M., Liska, A. J., Nguy-Robertson, A., Suyker, A., Pelton, M. P., Yang, H. 2019. Measured Ecosystem Respiration in Maize-Soybean Systems Over 10 Years. Agronomy Journal. 111(1): 49-58.Online
Zhan, M., Liska, A. J., Nguy-Robertson, A., Suyker, A., Pelton, M., Yang, H. 2019. Modeled and Measured Ecosystem Respiration in Maize-Soybean Systems Over 10 Years. Agronomy Journal. 110(6): 10.Online
Barker, J., Neale, C., Heeren, D., Suyker, A. (2018). Evaluation of a hybrid reflectance-based crop coefficient and energy balance evapotranspiration model for irrigation management. Transactions of the ASABE, 61(2), 533-548.
Campos, I., Gonzalez-Gomez, L., Villodre, J., Gonzalez-Piqueras, J., Suyker, A., Calera, A. (2018). Remote sensing-based crop biomass with water or light-driven crop growth models in wheat commercial fields. Field Crops Research, 216, 175-188.
Campos, I., Neale, C., Arkebauer, T., Suyker, A., Goncalves, I. Z. (2018). Water productivity and crop yield: A simplified remote sensing driven operational approach. Agricultural and Forest Meteorology, 249, 501-511.
Chen, M., Griffis, T., Baker, J., Wood, J., Meyers, T., Suyker, A. (2018). Comparing crop growth and carbon budgets simulated across AmeriFlux agricultural sites using the Community Land Model (CLM). Agricultural and Forest Meteorology, 256, 315-333.
Gamon, J., Hmimina, G. Y., Miao, G., Guan, K., Springer, K., Wang, R., Yu, R., Gholizadeh, H., Moore, R., Walter-Shea, E., Arkebauer, T., Suyker, A., Franz, T., Wardlow, B., Wedin, D. A. (2018). Imaging spectrometry and fluorometry in support of FLEX: wha
Gitelson, A., Arkebauer, T., Suyker, A. (2018). Convergence of daily light use efficiency in irrigated and rainfed C3 and C4 crops. Remote Sensing of Environment, 217, 30-37.
McCombs, A. G., Hiscox, A. L., Wang, C., Desai, A., Suyker, A., Sebastien, B. (2018). Carbon Flux Phenology from the sky: Evaluation for Maize and Soybean. Journal of Atmospheric and Oceanic Technology, 35(4), 877-892.
Peng, B., Guan, K., Chen, M., Lawrence, D. M., Pokhrel, Y., Suyker, A., Arkebauer, T., Lu, Y. (2018). Improving maize growth processes in the community land model: implementation and evaluation. Agricultural and Forest Meteorology, 250, 64-89.
Safa, B., Arkebauer, T., Zhu, Q., Suyker, A., Irmak, S. (2018). Latent heat and sensible heat flux simulation in maize using artificial neural networks. Computers and Electronics in Agriculture, 154, 155-164.
Yang, Y., Anderson, M., Gao, F., Suyker, A., Wardlow, B., Hain, C., Otkin, J., Sun, L., Delaney, W. (2018). Field-Scale Mapping of Evaporative Stress Indicators of Crop Yield: an Application over Mead, NE. Field-Scale Mapping of Evaporative Stress Indicat
Zhang, Y., Suyker, A., Paustian, K. (2018). Improved crop canopy and water balance dynamics for agroecosystem modeling using DayCent. Agronomy Journal, 110(2), 511-524.
Campos, I., Neale, C., Suyker, A., Arkebauer, T., Gonçalves, I. V. (2017). Reflectance-based crop coefficient redux: for operational evapotranspiration estimates in the age of high producing hybrid varieties. Agricultural Water Management, 187, 140-153. 2Online
Foolad, F., Franz, T. E., Wang, T., Gibson, J., Kilic, A., Allen, R. A., Suyker, A. (2017). Feasibility analysis of using inverse modeling for estimating field-scale evapotranspiration in maize and soybean fields from soil water content monitoring networkOnline
Avery, W., Finkenbiner, C., Franz, T., Wang, T., Nguy-Robertson, A., Munoz-Arriola, F., Suyker, A., Arkebauer, T. 2016. Incorporation of globally available datasets into the cosmic-ray neutron probe method for estimating field scale soil water content. HyOnline
Balzarolo, M., Vicca, S., Nguy-Robertson, A., Bonal, D., Elbers, J. A., Fu, Y. H., Grünwald, T., Horemans, J., Papale, D., Peñuelas, J., Suyker, A., Veroustraete, F. 2016. Matching the phenology of Net Ecosystem Exchange and vegetation indices estimated Online
Cochran, F. V., Brunsell, N. A., Suyker, A. 2016. A Thermodynamic Approach for Assessing Agroecosystem Sustainability. Ecological Indicators, 67:204-214.Online
Hidy, D., Barcza, Z., Marjanović, H., Ostrogović Sever, M. Z., Dobor, L., Gelybó, G., Fodor, N., Pintér, K., Churkina, G., Running, S., Thornton, P., Bellocchi, G., Haszpra, L., Horvath, F., Suyker, A., Nagy, Z. 2016. Terrestrial Ecosystem Process Model BOnline
Hornbuckle, B. K., Patton, J. C., VanLoocke, A., Suyker, A., Roby, M. C., Walker, V. A., Iyer, E. R., Herzmann, D. E., Endacott, E. A. 2016. SMOS optical thickness changes in response to the growth and development of crops, crop management, and weather. ROnline
Lokupitiya, E., Denning, A. S., Schaefer, K., Ricciuto, D., Anderson, R., Arain, M. A., Baker, I., Barr, A. G., Chen, G., Chen, J. M., Ciais, P., Cook, D. R., Dietze, M., El Maayar, M., Fischer, M., Grant, R., Hollinger, D., Izaurralde, C., Jain, A., KuchOnline
Nguy-Robertson, A., Brinley-Buckley, E., Suyker, A., Awada, T. N. 2016. Determining factors that impact the calibration of consumer-grade digital cameras used for vegetation analysis. International Journal of Remote Sensing, 37(14):3365-3383.Online
Nguy-Robertson, A., Buckley, E.M., Suyker, A., Awada, T. N. 2016. Determining factors that impact the calibration of consumer-grade digital cameras used for vegetation analysis. International Journal of Remote Sensing, 37:3365-3383.Online
Petrie, M. D., Brunsell, N. A., Vargas, R., Collins, S. L., Flanagan, L. B., Hanan, N. P., Litvak, M. E., Suyker, A. 2016. The sensitivity of carbon exchanges in Great Plains grasslands to precipitation variability. Journal of Geophysical Research - BiogeOnline
Shao, J., Zhou, X., Luo, Y., Li, B., Aurela, M., Billesbach, D., Blanken, P. D., Bracho, R., Chen, J., Fischer, M., Fu, Y., Gu, L., Han, S., He, Y., Kolb, T., Li, Y., Nagy, Z., Niu, S., Oechel, W. C., Pinter, K., Shi, P., Suyker, A., Torn, M., Varlagin, AOnline
Xin, Q., Gong, P., Suyker, A., Si, Y. 2016. Effects of the partitioning of diffuse and direct solar radiation on satellite-based modeling of crop gross primary production. International Journal of Applied Earth Observation and Geoinformation. 50:51-63.Online
Zhao, L., Lee, X., Suyker, A., Xuefa, W. 2016. Influence of Leaf Area Index on the Radiometric Resistance to Heat Transfer. Boundary Layer Meteorology, 158(1):105-123.Online
Cheng, S. J., Bohrer, G., Steiner, A. L., Hollinger, D. Y., Suyker, A., Phillips, R. P., Nadelhoffer, K. J. (2015). Variations in the influence of diffuse light on gross primary productivity in temperate ecosystems. Agricultural and Forest Meteorology, 20Online
Dong, J., Xiao, X., Wagle, P., Zhang, G., Zhou, Y., Jin, C., Torn, M. S., Meyers, T. P., Suyker, A., Wang, J., Yan, H., Biradar, C., Berrien Moore III (2015). Comparison of four EVI-based models for estimating gross primary production of maize and soybeanOnline
Gitelson, A., Peng, Y., Arkebauer, T., Suyker, A. (2015). Productivity, absorbed photosynthetically active radiation, and light use efficiency in crops: Implications for remote sensing of crop primary production. Journal of Plant Physiology, 177(0), 100-1Online
Nguy-Robertson, A., Suyker, A., Xiao, X. (2015). Modeling gross primary production of maize and soybean croplands using light quality, temperature, water stress, and phenology. Agricultural and Forest Meteorology, 213, 160 - 172.Online
Shao, J., Zhou, X., Luo, Y., Li, B., Aurela, M., Billesbach, D., Blanken, P. D., Bracho, R., Chen, J., Fischer, M., Fu, Y., Gu, L., Han, S., He, Y., Kolb, T., Li, Y., Nagy, Z., Niu, S., Oechel, W. C., Pinter, K., Shi, P., Suyker, A., Torn, M., Varlagin, AOnline
Wagle, P., Xiao, X., Suyker, A. (2015). Estimation and analysis of gross primary production of soybean under various management practices and drought conditions. {ISPRS} Journal of Photogrammetry and Remote Sensing, 99(0), 70 - 83.Online
Xia, J., Niu, S., Luo, Y., Ciais, P., Janssens, I. A., Chen, J., Ammann, C., Arain, A., Blanken, P. D., Cescatti, A., Bonal, D., Buchmann, N., Curtis, P. S., Chen, S., Dong, J., Flanagan, L. B., Frankenberg, C., Georgiadis, T., Gough, C. M., Hui, D., Kiel
Xin, Q., Broich, M., Suyker, A., Yu, L., Gong, P. (2015). Multi-scale evaluation of light use efficiency in {MODIS} gross primary productivity for croplands in the Midwestern United States. Agricultural and Forest Meteorology, 201(0), 111 - 119.Online
Yuan, W., Cai, W., Nguy-Robertson, A., Fang, H., Suyker, A., Chen, Y., Dong, W., Liu, S., Zhang, H. (2015). Uncertainty in simulating gross primary production of cropland ecosystem from satellite-based models. Agricultural and Forest Meteorology, 207, 48 Online
Zhang, Q., Cheng, Y.-B., Lyapustin, A. I., Wang, Y., Zhang, X., Suyker, A., Verma, S., Shuai, Y., Middleton, E. M. (2015). Estimation of crop gross primary production (GPP): II. Do scaled {MODIS} vegetation indices improve performance? Agricultural and FoOnline
Gilmanov, T. G., Baker, J. M., Bernacchi, C. J., Billesbach, D. P., Burba, G. G., Castro, S., Chen, J., Eugster, W., Fischer, M. L., Gamon, J. A., Gebremedhin, M. T., Glenn, A. J., Griffis, T. J., Hatfield, J. L., Heuer, M. W., Howard, D. M., Leclerc, M. Online
Liska, A. J., Yang, H., Milner, M., Goddard, S. M., Blanco, H., Pelton, M. P., Fang, X. X., Zhu, H., Suyker, A. (2014). Biofuels from Crop Residue Can Reduce Soil Carbon and Increase CO2 Emissions. Nature Climate Change, 4(May), 398-401.Online
Liska, A. J., Yang, H., Pelton, M. P., Suyker, A. (2014). Reply to ‘CO2 emissions from crop residue-derived biofuels’. Nature Climate Change, 4(November), 934-935.Online
Luyssaert, S., Jammet, M., Stoy, P. C., Estel, S., Pongratz, J., Ceschia, E., Churkina, G., Don, A., Erb, K. H., Ferlicoq, M., Gielen, B., Grünwald, T., Houghton, R. A., Klumpp, K., Knohl, A., Kolb, T., Kuemmerle, T., Laurila, T., Lohila, A., Loustau, D.,
Xiao, J., Ollinger, S. V., Frolking, S., Hurtt, G. C., Hollinger, D. Y., Davis, K. J., Pan, Y., Zhang, X., Deng, F., Chen, J., Baldocchi, D. D., Law, B. E., Arain, M. A., Desai, A. R., Richardson, A. D., Sun, G., Amiro, B., Margolis, H., Gu, L., Scott, R.Online
Zhang, Q., Cheng, Y.-B., Lyapustin, A. I., Wang, Y., Gao, F., Suyker, A., Verma, S., Middleton, E. M. (2014). Estimation of crop gross primary production (GPP): fAPARchl versus {MOD15A2} {FPAR}. Remote Sensing of Environment, 153(0), 1 - 6.Online
Zhang, Q., Cheng, Y.-B., Lyapustin, A. I., Wang, Y., Xiao, X., Suyker, A., Verma, S., Tan, B., Middleton, E. M. (2014). Estimation of crop gross primary production (GPP): I. impact of {MODIS} observation footprint and impact of vegetation {BRDF} characterOnline
Xin, Q., Gong, P., Yu, C., Yu, L., Broich, M., Suyker, A., Myneni., R. B. (2013). A Production Efficiency Model-Based Method for Satellite Estimates of Corn and Soybean Yields in the Midwestern US. Remote Sensing, 5, 5926-5943.Online
Gitelson, A., Peng, Y., Masek, J., Rundquist, D., Verma, S., Suyker, A., Baker, J., Hatfield, J., Meyers, T. (2012). Remote estimation of crop gross primary production with Landsat data. Remote Sensing of Environment, 121, 404–414.Online
Sakamoto, T., A.A. Gitelson, A.L. Nguy-Robertson, T.J. Arkebauer, B.D. Wardlow, A.E. Suyker, S.B. Verma, & M. Shibayama, (2012) An alternative method using digital cameras for continuous monitoring of crop status. Agriculture and Forest Meteorology. 154-1Online
Sakamoto, T., Gitelson, A., Wardlow, B., Arkebauer, T., Verma, S., Suyker, A., Sibayama, M. (2012). Application of day and night digital photographs for estimating maize biophysical characteristics. Precision Agriculture. 13, 285-301.
Singh, R., Liu, S., Tieszen, L., Suyker, A., Verma, S. (2012). Novel approach for computing photosynthetically active radiation (PAR) for productivity modeling using remotely sensed images in the Great Plains, United States. Journal of Applied Remote Sens
Suyker, A., Verma, S. (2012). Gross primary production and ecosystem respiration of irrigated and rainfed maize-soybean cropping systems over eight years. Agricultural and Forest Meteorology, 165, 12-24.Online
Wu, C., Gonsamo, A., Chen, J., Kurz, W., Price, D., Lafluer, P., Jassal, R., Dragoni, D., Bohrer, G., Gough, C., Verma, S., Suyker, A., Munger, J. William (2012). Interannual and spatial impacts of phenological transitions, growing season length, and spriOnline
Irmak, (Kilic) A., R.K. Singh, E. Walter-Shea, S.B. Verma and A.E. Suyker. 2011. Comp. and Anal. Empirical Equ. for Soil Heat Flux for Different Cropping Sys. and Irrig. Methods. Trans. ASABE. 54(1): 67-
Singh, R.K., A. Irmak (Kilic), E. Walter-Shea, S.B. Verma and A.E. Suyker. 2011. Spectral data-based estimation of soil heat flux. Transactions of the ASABE 54(5): 1589-1597.Online
Arkebauer, T.J., E.A. Walter-Shea, M.A. Mesarch, A.E.Suyker, S.B. Verma. 2009. Scaling up of CO2 fluxes from leaf to canopy in maize-based agroecosystems. Agro. For. Meteo. doi: 10.1016/j.agrformet.2009.04.013Online
Gitelson, A.A., Vina, A., Masek J.G., Verma, S. B., and A. E. Suyker. 2008. Synoptic Monitoring of Gross Primary Productivity of Maize Using Landsat Data, IEEE Geoscience and Remote Sensing Letters, 5(2) 10.1109/LGRS.2008.915598.Online
Grant, R.F., T.J. Arkebauer, A. Dobermann, K.G. Hubbard, T.T. Schimelfenig, A.E. Suyker, S.B. Verma, and D.T. Walters. 2007. Net biome productivity of irrigated and rain fed maize-soybean rotations: Modeling vs. measurements. Agron. J. 99(6):1404-1423.
Gitelson, A. A., A. Vina, S. B. Verma, D. C. Rundquist, T. J. Arkebauer, G. Keydan, B. Leavitt, V. Ciganda, G. G. Burba, and A. E. Suyker. 2006. Relationship between gross primary production and chlorophyll content in crops: Implications for the synoptic Online
Hanan, N.P., J.A. Berry, S.B. Verma, E.A. Walter-Shea, A.E. Suyker, G.G. Burba and A.S. Denning. 2005. Model analyses of biosphere-atmosphere exchanges of CO2, water and energy from Great Plains tallgrass prairie and wheat sites, Agricultural and Forest M
S.B. Verma, A. Dobermann, K.G. Cassman, D.T. Walters, J.M. Knops, T.J. Arkebauer, A.E. Suyker, G.G. Burba, B. Amos, H. Yang, D. Ginting, K.G. Hubbard, A.A. Gitelson, and E.A. Walter-Shea. 2005. Annual carbon dioxide exchange in irrigated and rainfed maizeOnline
Shashi B. Verma, Achim Dobermann, Kenneth G. Cassman, Daniel T. Walters, Johannes M. Knops, Timothy J. Arkebauer, Andrew E. Suyker, Georfe G. Burba, Brigid Amos, Haishun Yang, Daniel Ginting, Kenneth G. Hubbard, Anatoly A. Gitelson and Elizabeth A. WalterOnline
Gitelson, A. A., S. B. Verma, A. Vina, D. C. Rundquist, G. Keydan, B. Leavitt, T. J. Arkebauer, G. G. Burba, and A. E. Suyker. 2003. Novel technique for remote estimation of CO2 flux in maize, Geophys. Res. Lett. 30(9):1486, doi:10.1029/2002GL016543Online
Hanan, P., Burba, G.G., Verma, S.B., Berry, J.A., Suyker, A.E., Walter-Shea, E.A. 2002. Inversion of net ecosystem CO2 flux measurements for estimation of canopy PAR absorption. Global Change Biology. 8(6):563-574.
Suyker, A.E. and Verma S.B. 2001. Year-round observations of the net ecosystem exchange of carbon dioxide in a native tallgrass prairie. Global Change Biology, 7:279-289 (Journal Series Number:13002)
Frolking S.E., A.E. Suyker, S.B. Verma, J.L. Bubier, T.R. Moore, T. Ball, L.M. Bellisario, A. Bhardwaj, P. Carroll, P.M. Crill, P.M. Lafleur, J.H. McCaughey, N.T. Roulet, J.M. Waddington, and G.J. Whiting 1998. Relationship between ecosystem productivity Online
Suyker, A.E., Verma S.B., and T.J. Arkebauer 1997. Season-long measurement of carbon dioxide exchange in a boreal fen. Journal of Geophysical Research. 102(D24):29,021-29,028 (Journal Series Number:11483)Online
Suyker A.E., S.B. Verma, R.J. Clement, and D.P. Billesbach 1996. Methane flux in a boreal fen: Season-long measurement by eddy correlation. Journal of Geophysical Research. 101(D22):28, 637-28, 647.
Suyker A.E. and Verma S.B. 1993. Eddy correlation measurement of CO2 flux using a closed-path sensor: Theory and field tests against an open-path sensor. Boundary-Layer Meteorology. 64:391-407.

Background

 

Affiliations

 

Websites

 

SNR Program Areas

  • Applied Climate and Spatial Science

Areas of Interest/Expertise

  • Climate Change
  • Carbon Flux
  • Carbon Cycle, Sequestration
  • Microclimate
  • Evapotranspiration

Grants

Currently this page only displays grants that were awarded on 1/1/ 2009 to the present. If a grant was awarded prior to 1/1/ 2009 and is still active, it will not be displayed on this page.

Grant TitleLong-Term Maize-Based Agro-Ecosystem Core Sites as Part of the AmeriFlux Management Project Network
Starting Date10/01/2020

Investigator(s)

Ending Date09/30/2025
Funding Level$113,000.00
Funding AgencyUniversity of California-Berkeley National Lab

 

Grant TitleAgricultural Intensification in the Western Corn Belt (Additional)
Starting Date06/08/2020

Investigator(s)

Ending Date07/31/2024
Funding Level$200,000.00
Funding AgencyUS Deparment of Agriculture - ARS

 

Grant TitleLong-Term Maize-Based Agro-Ecosystem Core Sites as Part of the AmeriFlux Management Project Network (additional funds)
Starting Date01/17/2020

Investigator(s)

Ending Date09/30/2020
Funding Level$36,500.00
Funding AgencyUniversity of CA-Berkeley National'l Lab/ US Department of Energy

 

Grant TitleLong-Term Maize-Based Agro-Ecosystem Core Sites as Part of the AmeriFlux Management Project Network (additional funds)
Starting Date12/03/2019

Investigator(s)

Ending Date09/30/2020
Funding Level$76,000.00
Funding AgencyUniv. of California-Berkeley National Lab

 

Grant TitleLong-Term Maize-Based Agro-Ecosystem Core Sites as Part of the AmeriFlux Management Project Network (additional funds)
Starting Date11/12/2018

Investigator(s)

Ending Date09/30/2020
Funding Level$20,000.00
Funding AgencyDepartment of Energy

 

Grant TitleMercury Deposit Network (Additional Funding)
Starting Date10/01/2018

Investigator(s)

Ending Date09/30/2023
Funding Level$32,000.00
Funding AgencyNebraska Department of Environmental Quality

 

Grant TitleCarbon Flux from Great Plains Agroecosystems Associated with the ARS LTAR Network (Additional Funding)
Starting Date09/26/2018

Investigator(s)

Ending Date08/31/2020
Funding Level$40,000.00
Funding AgencyDepartment of Agriculture - Ag Research Service

 

Grant TitleGreat Plains Agroecosystems Carbon Flux (Additional Funding)
Starting Date09/25/2017

Investigator(s)

Ending Date08/31/2020
Funding Level$40,000.00
Funding AgencyNebraska Department of Natural Resources

 

Grant TitleLong-Term Maize-Based Agro-Ecosystem Core Sites as Part of the AmeriFlux Management Project Network (additional funds)
Starting Date02/17/2017

Investigator(s)

Ending Date09/30/2020
Funding Level$93,000.00
Funding AgencyUC-Berkeley National Lab

 

Grant TitleGreat Plains Agroecosystems Carbon Flux
Starting Date09/01/2016

Investigator(s)

Ending Date08/31/2020
Funding Level$40,000.00
Funding AgencyUSDA - ARS

 

Grant TitleCarbon Flux from Great Plains Agroecosystems Associated with the ARS LTAR Network (Additional Funding)
Starting Date02/19/2016

Investigator(s)

Ending Date08/31/2020
Funding Level$100,000.00
Funding AgencyUSDA-ARS

 

Grant TitleCarbon Flux from Great Plains Agroecosystems Associated with the ARS LTAR Network
Starting Date09/01/2015

Investigator(s)

Ending Date08/31/2020
Funding Level$80,000.00
Funding AgencyU. S. Department of Agriculture - Agricultural Research Service

 

Grant TitleLong-Term Maize-Based Agro-Ecosystem Core Sites as Part of the AmeriFlux Management Project Network
Starting Date03/09/2014

Investigator(s)

Ending Date09/30/2016
Funding Level$112,399.00
Funding AgencyUniversity of California-Berkeley National Lab

 

Grant TitleLong-Term Maize-Based Agro-Ecosystem Core Sites as Part of the AmeriFlux Management Project Network (additional funds)
Starting Date03/09/2014

Investigator(s)

Ending Date09/30/2016
Funding Level$112,399.00
Funding AgencyUniversity of California-Berkeley National Lab

 

Grant TitleMercury Deposit Network
Starting Date10/01/2013

Investigator(s)

Ending Date09/30/2018
Funding Level$32,000.00
Funding AgencyNebraska Department of Environmental Quality

 

Grant TitleGreat Lakes Evaporation
Starting Date05/01/2011

Investigator(s)

Ending Date08/31/2011
Funding Level$29,992.00
Funding AgencyUniversity of Michigan

 

Grant TitleCarbon Sequestration in Dryland and Irrigated Agroecosystems? Qualifications at Different Scale for Improved Prediction
Starting Date09/15/2009

Investigator(s)

Ending Date09/14/2010
Funding Level$78,750.00
Funding AgencyUS Department of Energy

 

Grant TitleCarbon Sequestration in Dryland
Starting Date09/03/2009

Investigator(s)

Ending Date09/14/2010
Funding Level$236,250.00
Funding AgencyUS Department of Energy

 

Grant TitleA Satellite-Based Quantification of Carbon Exchange of the Cominant Ecosystem (Maize-Soybean) in the NACP Mid-Continent Intensive (MCI) Region
Starting Date04/01/2009

Investigator(s)

Ending Date03/31/2010
Funding Level$180,101.00
Funding AgencyNational Aeronautics and Space Administration

 

Grant TitleSatelite Based Carbon Exchange (Maize Soybeans)
Starting Date04/01/2008

Investigator(s)

Ending Date03/31/2011
Funding Level$216,622.00
Funding AgencyNational Aeronautics and Space Administration/Stennis

 

Advising

Graduate Programs

Master of Applied Science

Master of Science in Natural Resource Sciences
including specializations in

  • Bio-Atmospehric Interactions

Doctorate of Philosophy in Natural Resource Sciences
including specializations in

  • Bio-Atmospehric Interactions

Courses Taught

Course NumberCourse TitleFall Even YearsFall Odd YearsSpring Even YearsSpring Odd YearsSummer SessionCross Listing
NRES 408/808Microclimate: The Biological EnvironmentXXAGRO/GEOG/HORT/METR 408/808; WATS 408
NRES 469/869Bio-Atmospheric InstrumentationXXAGRO/GEOG/METR/MSYM 469/869, HORT 407