Papers and Publications

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2017
Mahecha, M. D. et al. Detecting impacts of extreme events with ecological in situ monitoring networks. Biogeosciences 14, 4255 - 4277 (2017).
Mahecha, M. D. et al. Detecting impacts of extreme events with ecological in-situ monitoring networks. Biogeosciences Discussions (2017). doi:10.5194/bg-2017-130
Kingdon, A., Giles, J. R. A. & Lowndes, J. P. Future of technology in NERC data models and informatics: outputs from InformaTEC. Geological Society, London, Special Publications 408, 245 - 253 (2017).
Zhou, T., Popescu, S. C., Krause, K., Sheridan, R. D. & Putman, E. Gold – A novel deconvolution algorithm with optimization for waveform LiDAR processing. ISPRS Journal of Photogrammetry and Remote Sensing 129, 131 - 150 (2017).
éy, J. et al. Greater temperature sensitivity of plant phenology at colder sites: implications for convergence across northern latitudes. Global Change Biology (2017). doi:10.1111/gcb.13619
Dietze, M. C. et al. Iterative ecological forecasting: Needs, opportunities, and challenges. (2017). doi:10.6084/m9.figshare.4715317
Dietze, M. C. et al. Iterative ecological forecasting: Needs, opportunities, and challenges. (2017). doi:10.6084/m9.figshare.4715317
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).
Knox, S. Helen et al. Using digital camera and Landsat imagery with eddy covariance data to model gross primary production in restored wetlands. Agricultural and Forest Meteorology 237-238, 233 - 245 (2017).
Vaughan, A. R. et al. VOC emission rates over London and South East England obtained by airborne eddy covariance. Faraday Discuss. 200, 599 - 620 (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:10.1117/12.2223850PDF icon SPIE2016.pdf (1.52 MB)
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).PDF icon Kuhlman_et_al-2016-The_Bulletin_of_the_Ecological_Society_of_America.pdf (80.44 KB)
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).PDF icon Kuhlman_et_al-2016-The_Bulletin_of_the_Ecological_Society_of_America.pdf (80.44 KB)
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).
Springer, Y. P. et al. Tick-, mosquito-, and rodent-borne parasite sampling designs for the National Ecological Observatory Network. Ecosphere 7, e01271 (2016).
Springer, Y. P. et al. Tick-, mosquito-, and rodent-borne parasite sampling designs for the National Ecological Observatory Network. Ecosphere 7, e01271 (2016).
Cook, J. A. et al. Transformational Principles for NEON Sampling of Mammalian Parasites and Pathogens: A Response to Springer and Colleagues. BioScience 66, 917 - 919 (2016).

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