Pradeep Wagle

Dr. Pradeep Wagle  Research Ecologist USDA-ARS Grazinglands Research Laboratory 7207 West Cheyenne Street El Reno OK 73036 Voice: 1-(405)-262-5291     Fax: 1-(405)-262-0133 Pradeep.Wagle@usda.gov

 

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Research Interests         

• Land surface-atmosphere interactions with a focus on ecosystem carbon and water cycle dynamics using eddy covariance systems
• Impacts of land use change, extreme climatic events, and management practices on carbon and water dynamics of terrestrial ecosystems
• Up scaling of eddy flux observations (CO₂ fluxes and ET) using modeling and remote sensing approaches 

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 Education:

• Ph.D. (Crop Science, 2013)                                       Oklahoma State University, Stillwater, OK                                                                      
• MS (Horticulture, 2010)                                             Oklahoma State University, Stillwater, OK                                                                 
• BS (Agriculture, 2004)                                               Tribhuvan University, Nepal   

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 Professional Experience:

• September 2016 - Current                Research Ecologist                                 USDA-ARS GRL
• Fall 2016 to Fall 2021                       Graduate Faculty, Plant and Soil Sci.      Oklahoma State University
• September 2015 to August 2016       Research Scientist                                  USDA-ARS GRL/OU  

       (Co-operative Agreement between USDA and University of Oklahoma)

•  August 2013 to August 2015           Postdoctoral Research Associate             University of Oklahoma
•  April 2008 to July 2013                   Graduate Research Assistant                   Oklahoma state University

 

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 Publications Prior To Joining USDA:

 

1. Wagle, P., Xiao, T. E. Kolb, B. E. Law, S. Wharton, R. K. Monson, J. Chen, P. D. Blanken, , K. A. Novick, S. Dore, A. Noormets, and P. H. Gowda. 2016. Differential Responses of Carbon and Water Vapor Fluxes to Climate among Evergreen Needleleaf Forests in the USA. Ecological Processes 5(1): 1-17 (Invited Paper by the Chief-editor of the Journal) (https://doi.org/10.1186/s13717-016-0053-5).
2. Wagle, P., P. Gowda, X. Xiao, A. KC. 2016. Parameterizing Ecosystem Light Use Efficiency and Water Use Efficiency to Estimate Maize Gross Primary Production and Evapotranspiration using MODIS EVI. Agricultural and Forest Meteorology 222: 87-97 (https://doi.org/10.1016/j.agrformet.2016.03.009).
3. Wagle, P., V. G. Kakani, and R. L. Huhnke. 2016. Evapotranspiration and Ecosystem Water Use Efficiency of Switchgrass and High Biomass Sorghum. Agronomy Journal 108: 1-13 (https://doi.org/10.2134/agronj2015.0149).
4. Wagle, P., Y. Zhang, C. Jin, and X. Xiao. 2016. Comparison of Solar-Induced Chlorophyll Fluorescence, Light-Use Efficiency, and Process-Based GPP Models in Maize. Ecological Applications 26: 1211-1222 (https://doi.org/10.1890/15-1434).
5. Wang, J., X. Xiao, Wagle, S. Ma, D. Baldocchi, A. Carrara, Y. Zhang, J. Dong, and Y. Qin. 2016. Canopy and Climate Controls of Gross Primary Production of Mediterranean-type Deciduous and Evergreen Oak Savannas. Agricultural and Forest Meteorology 226: 132-147 (https://doi.org/10.1016/j.agrformet.2016.05.020).
6. Zhang, Y., X. Xiao, C. Jin, J. Dong, S. Zhou, Wagle, J. Joiner, L. Guanter, Y. Zhang, G. Zhang, Y. Qin, J. Wang, and B. Moore III. 2016. Consistency between Sun-induced Chlorophyll Fluorescence and Gross Primary Production of Vegetation in North America. Remote Sensing of Environment 183: 154-169 (https://doi.org/10.1016/j.rse.2016.05.015).
7. Wagle, P., Xiao, R. Scott, T. E. Kolb, D. R. Cook, N. A. Brunsell, D. D. Baldocchi, J. Basara, R. Matamala, Y. Zhou, and R. Bajgain. 2015. Biophysical Controls on Carbon and Water Vapor Fluxes across a Grassland Climatic Gradient in the United States. Agricultural and Forest Meteorology 214-215: 293-305 (https://doi.org/10.1016/j.agrformet.2015.08.265).
8. Wagle, P., V. G. Kakani, and R. L. Huhnke. 2015. Net Ecosystem Carbon Dioxide Exchange of Dedicated Bioenergy Feedstocks: Switchgrass and High Biomass Sorghum. Agricultural and Forest Meteorology 207: 107-116 (https://doi.org/10.1016/j.agrformet.2015.03.015).
9. Wagle, P., X. Xiao, and A. E. Suyker. 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: 70-83 (https://doi.org/10.1016/j.isprsjprs.2014.10.009).
10. Jin, C., X. Xiao, Wagle, T. Griffis, J. Dong, C. Wu, Y. Qin, and D. R. Cook. 2015. Effects of In-situ and Reanalysis Climate Data on Estimation of Cropland Gross Primary Production Using the Vegetation Photosynthesis Model. Agricultural and Forest Meteorology 213: 240-250 (https://doi.org/10.1016/j.agrformet.2015.07.003).
11. Dong, J., X. Xiao, Wagle, G. Zhang, Y. Zhou, C. Jin, M. S. Torn, T. P. Meyers, A. E. Suyker, J. Wang, H. Yan, C. Biradar, and B. Moore III. 2015. Comparison of Four EVI based Models for Estimating Gross Primary Production of Maize and Soybean Croplands and Tallgrass Prairie under Severe Drought. Remote Sensing of Environment 162: 154-168 (https://doi.org/10.1016/j.rse.2015.02.022).
12. Bajgain, R., X. Xiao, Wagle, J. Basara, and Y. Zhou. 2015. Sensitivity Analysis of Vegetation Indices to Drought over Two Tallgrass Prairie Sites. ISPRS Journal of Photogrammetry and Remote Sensing 108: 151-160 (https://doi.org/10.1016/j.isprsjprs.2015.07.004).
13. Gowda, P. H., T. Oommen, D. Misra, R. C. Schwartz, T. A. Howell, and Wagle. 2015. Retrieving Leaf Area Index from Remotely Sensed Data Using Advanced Statistical Approaches. Journal of Remote Sensing & GIS 4: 156 (https://doi.org/10.4172/2469-4134.1000156).
14. Gowda, P. H., P. V. Vara Prasad, S. V. Angadi, U. M. Rangappa, and Wagle. 2015. Finger Millet: An Alternative Crop for the Southern High Plains. American Journal of Plant Sciences 6: 2686-2691 (https://doi.org/10.4236/ajps.2015.616270).
15. Wagle, P., X. Xiao, M. S. Torn, D. R. Cook, R. Matamala, M. L. Fischer, C. Jin, J. Dong, and C. Biradar. 2014. Sensitivity of Vegetation Indices and Gross Primary Production of Tallgrass Prairie to Severe Drought. Remote Sensing of Environment 152: 1-14 (https://doi.org/10.1016/j.rse.2014.05.010).
16. Wagle, P. and V. G. Kakani. 2014. Environmental Control of Daytime Net Ecosystem Exchange of Carbon Dioxide in Switchgrass. Agriculture, Ecosystems & Environment 186: 170-177 (https://doi.org/10.1016/j.agee.2014.01.028).
17. Wagle, P. and V. G. Kakani. 2014. Confounding Effects of Soil Moisture on the Relationship between Ecosystem Respiration and Soil Temperature in Switchgrass. BioEnergy Research 7:789-798 (https://doi.org/10.1007/s12155-014-9434-8).
18. Wagle, P. and V. G. Kakani. 2014. Seasonal Variability in Net Ecosystem Carbon Dioxide Exchange over a Young Switchgrass Stand. Global Change Biology Bioenergy 6: 339-350 (Article first published online: 26 FEB 2013) (https://doi.org/10.1111/gcbb.12049).
19. Wagle, P. and V. G. Kakani. 2014. Growing Season Variability in Evapotranspiration, Ecosystem Water Use Efficiency, and Energy Partitioning in Switchgrass. Ecohydrology 7: 64-72 (Article first published online: 23 SEP 2012) (https://doi.org/10.1002/eco.1322).
20. Wagle, P., M. W. Smith, B. W. Wood, and C. T. Rohla. 2011. Response of Young Bearing Pecan Trees to Spring Foliar Nickel Applications. Journal of Plant Nutrition 34: 1558-1566 (https://doi.org/10.1080/01904167.2011.585210).
21. Wagle, P., M. W. Smith, B. W. Wood, and C. T. Rohla. 2011. Supplemental Foliar Nickel and Copper Applications Do Not Reduce Kernel Necrosis in Pecan Trees Receiving Excess Nitrogen. Communications in Soil Science and Plant Analysis 42: 2219-2228 (https://doi.org/10.1080/00103624.2011.602453).