Papers and Publications

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Read, Q. D. et al. Among-species overlap in rodent body size distributions predicts species richness along a temperature gradient. Ecography (2018). doi:10.1111/ecog.03641
Desjardins, R. L. et al. The challenge of reconciling bottom-up agricultural methane emissions inventories with top-down measurements. Agricultural and Forest Meteorology 248, 48 - 59 (2018).
Richter, D. D. et al. Elevating the biogeosciences within environmental research networks. Biogeosciences Discussions (2018). doi:10.5194/bg-2018-67
Gilbert, N. Inner Workings: Smart-sensor network keeps close eye on lake ecosystem. Proceedings of the National Academy of Sciences 115, 828 - 830 (2018).
Dietze, M. C. et al. Iterative near-term ecological forecasting: Needs, opportunities, and challenges. Proceedings of the National Academy of Sciences (2018). doi:10.1073/pnas.1710231115
SanClements, M. D. et al. Long-Term Experimental Acidification Drives Watershed Scale Shift in Dissolved Organic Matter Composition and Flux. Environmental Science & Technology (2018). doi:10.1021/acs.est.7b04499
Hartmann, örg, Gehrmann, M., Sachs, T., Kohnert, K. & Metzger, S. The Polar 5 airborne measurement of turbulence and methane fluxes during the AirMeth campaigns. Atmospheric Measurement Techniques Discussions (2018). doi:10.5194/amt-2017-454
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: 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).
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
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
Mayor, S. J. et al. Increasing phenological asynchrony between spring green-up and arrival of migratory birds. Scientific Reports 7, (2017).
Ryan, W. H. et al. Initiating & Managing Long-Term Data with Amateur Scientists. The American Biology Teacher 79, 28 - 34 (2017).
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).
Dietze, M. C. et al. Iterative ecological forecasting: Needs, opportunities, and challenges. (2017). doi:10.6084/m9.figshare.4715317
LaDeau, S. L., Han, B. A., Rosi-Marshall, E. J. & Weathers, K. C. The Next Decade of Big Data in Ecosystem Science. Ecosystems 20, 274 - 283 (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).
Hampton, S. E. et al. Skills and Knowledge for Data-Intensive Environmental Research. BioScience 67, 546 - 557 (2017).


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