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
Vargas, R. et al. Enhancing interoperability to facilitate implementation of REDD+: case study of Mexico. Carbon Management 10, 1 - 9 (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
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
Ryan, W. H. et al. Initiating & Managing Long-Term Data with Amateur Scientists. The American Biology Teacher 79, 28 - 34 (2017).
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
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).
Csavina, J., Roberti, J. A., Taylor, J. R. & Loescher, H. W. Traceable measurements and calibration: a primer on uncertainty analysis. Ecosphere 8, e01683 (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
Hoekman, D. et al. Design for mosquito abundance, diversity, and phenology sampling within the National Ecological Observatory Network. Ecosphere 7, e01320 (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).
Springer, Y. P. et al. Tick-, mosquito-, and rodent-borne parasite sampling designs for the National Ecological Observatory Network. Ecosphere 7, e01271 (2016).
Stark, S. C. et al. Toward accounting for ecoclimate teleconnections: intra- and inter-continental consequences of altered energy balance after vegetation change. Landscape Ecology 31, 181 - 194 (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).
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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