Papers and Publications

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2017
Chabbi, A. et al. Aligning agriculture and climate policy. Nature Climate Change 7, 307 - 309 (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
Metzger, S. et al. eddy4R 0.2.0: a DevOps model for community-extensible processing and analysis of eddy-covariance data based on R, Git, Docker, and HDF5. Geoscientific Model Development 10, 3189 - 3206 (2017).
Metzger, S. et al. eddy4R 0.2.0: a DevOps model for community-extensible processing and analysis of eddy-covariance data based on R, Git, Docker, and HDF5. Geoscientific Model Development 10, 3189 - 3206 (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
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
Vargas, R. et al. Enhancing interoperability to facilitate implementation of REDD+: case study of Mexico. Carbon Management 10, 1 - 9 (2017).
Vellend, M. et al. Estimates of local biodiversity change over time stand up to scrutiny. Ecology 98, 583 - 590 (2017).
Vellend, M. et al. Estimates of local biodiversity change over time stand up to scrutiny. Ecology 98, 583 - 590 (2017).
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
Dietze, M. C. et al. Iterative ecological forecasting: Needs, opportunities, and challenges. (2017). doi:10.6084/m9.figshare.4715317
Xu, K., Metzger, S. & Desai, A. R. Surface-atmosphere exchange in a box: Space-time resolved storage and net vertical fluxes from tower-based eddy covariance. Agricultural and Forest Meteorology (2017). doi:10.1016/j.agrformet.2017.10.011
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).
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).
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)
Elmendorf, S. C. et al. The plant phenology monitoring design for the national ecological observatory network. Ecosphere 7, (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).
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).
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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