Papers and Publications

Export 46 results:
Author Keyword Title Type [ Year(Asc)]
2017
Metzger, S. et al. eddy4R: A community-extensible processing, analysis and modeling framework for eddy-covariance data based on R, Git, Docker and HDF5. Geoscientific Model Development Discussions 1 - 26 (2017). doi:10.5194/gmd-2016-318
Daly, C., Slater, M. E., Roberti, J. A., Laseter, S. H. & Swift, L. W. High-resolution precipitation mapping in a mountainous watershed: ground truth for evaluating uncertainty in a national precipitation dataset. International Journal of Climatology (2017). doi:10.1002/joc.4986
Sierra, C. A., Malghani, S. & Loescher, H. W. Interactions among temperature, moisture, and oxygen concentrations in controlling decomposition rates in a boreal forest soil. Biogeosciences 14, 703 - 710 (2017).
Kunwor, S., Starr, G., Loescher, H. W. & Staudhammer, C. L. Preserving the variance in imputed eddy-covariance measurements: Alternative methods for defensible gap filling. Agricultural and Forest Meteorology 232, 635 - 649 (2017).
Csavina, J., Roberti, J. A., Taylor, J. R. & Loescher, H. W. Traceable measurements and calibration: a primer on uncertainty analysis. Ecosphere 8, e01683 (2017).
Xu, K., Metzger, S. & Desai, A. R. Upscaling tower-observed turbulent exchange at fine spatio-temporal resolution using environmental response functions. Agricultural and Forest Meteorology 232, 10 - 22 (2017).
Crall, A. et al. Volunteer recruitment and retention in online citizen science projects using marketing strategies: lessons from Season Spotter. Journal of Science Communication 16 (01), (2017).
2016
Starr, G. et al. Carbon Dynamics of Pinus palustris Ecosystems Following Drought. Forests 7, 98 (2016).
Hoekman, D. et al. Design for mosquito abundance, diversity, and phenology sampling within the National Ecological Observatory Network. Ecosphere 7, e01320 (2016).
Hagstrom, S. & Broadwater, J. Generating passive NIR images from active LIDAR. SPIE Defense + SecurityLaser Radar Technology and Applications XXI (Turner, M. D. & Kamerman, G. W.) (SPIE, 2016). doi:10.1117/12.2223850 SPIE2016.pdf (1.52 MB)
Sierra, C. A., Malghani, S. & Loescher, H. W. Interactions among temperature, moisture, and oxygen concentrations in controlling decomposition rates. Biogeosciences Discussions 1 - 11 (2016). doi:10.5194/bg-2016-474
Thorpe, A. S. et al. Introduction to the sampling designs of the National Ecological Observatory Network Terrestrial Observation System. Ecosphere 7, e01627 (2016).
Kelly, E. F. & Loescher, H. W. NEON Reboot. BioScience 66, 711 - 711 (2016).
Kuhlman, M. R. et al. A New Engagement Model to Complete and Operate the National Ecological Observatory Network. The Bulletin of the Ecological Society of America 97, 283 - 287 (2016). Kuhlman_et_al-2016-The_Bulletin_of_the_Ecological_Society_of_America.pdf (80.44 KB)
Metzger, S. et al. Optimization of an enclosed gas analyzer sampling system for measuring eddy covariance fluxes of H2O and CO2. Atmospheric Measurement Techniques 9, 1341 - 1359 (2016).
Hinckley, E. - L. S. et al. Optimizing Available Network Resources to Address Questions in Environmental Biogeochemistry. BioScience biw005 (2016). doi:10.1093/biosci/biw005
Elmendorf, S. C. et al. The plant phenology monitoring design for the national ecological observatory network. Ecosphere 7, (2016).
Johnson, K. A. Real Life Science with Dandelions and Project BudBurst. Journal of Microbiology & Biology Education 17, 115 - 116 (2016).
Kosmala, M. et al. Season Spotter: Using Citizen Science to Validate and Scale Plant Phenology from Near-Surface Remote Sensing. Remote Sensing 8, 726 (2016).
Hinckley, E. - L. S. et al. The soil and plant biogeochemistry sampling design for The National Ecological Observatory Network. Ecosphere 7, e01234 (2016).
Springer, Y. P. et al. Tick-, mosquito-, and rodent-borne parasite sampling designs for the National Ecological Observatory Network. Ecosphere 7, e01271 (2016).
Gallery, W. TM-007 User guide for locating NEON camera images. NEON Technical Memorandum Series (NEON, 2016). TM007-UserGuide_for_locating_NEON_Camera_Images.pdf (15.85 MB)
Brown, T. B. et al. Using phenocams to monitor our changing Earth: toward a global phenocam network. Frontiers in Ecology and the Environment 14, 84 - 93 (2016).

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