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I am excited to announce that I started a new position as Associate at the environmental consulting company Industrial Economics, Inc, where I will be assisting on Natural Resource Damagement Assessments of sites that have been contaminated by hazardous waste. I look forward to using what I learned in academia to have meaningful, applied impact and to gain more skills.
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Our paper from the Ecological Forecasting Initiative spring phenology forecast challenge was recently published in Agricultural and Forest Meteorology. It is available open access at https://www.sciencedirect.com/science/article/pii/S0168192323005002. Paper highlights include: (1) We held a community forecast challenge to predict daily plant greenness through which we submitted forecasts from 18 models. (2) Forecast skill was highest when forecasting earlier in the greenup period compared to the end. (3) Forecasts were worst when submitted right before budburst. (4) Historical means of greenness on each day of year were difficult to outperform.
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A new preprint is available for a spring phenology forecast challenge I lead as part of the Ecological Forecasting Initiative. You can access it at: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4357147.
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A paper that I am a co-author on just came out in Ecosphere (https://esajournals.onlinelibrary.wiley.com/doi/10.1002/ecs2.4342). This work came from a workshop through the National Center for Ecological Analysis and Synthesis (NCEAS).
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This week I officially began my NOAA postdoc fellowship at MIT.
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I presented some of my dissertation work at the Ecological Society of America meeting in Montreal, Canada. The title of my presentation was “A trigger may not be necessary to cause leaf senescence in deciduous broadleaf forests”
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I passed my dissertation defense, accomplishing a long-time goal of becoming Dr. Kathryn Wheeler.
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I recently received the NOAA Climate and Global Change Postdoctoral Fellowship to work with Dr. Cesar Terrer at the Massachusetts Institute of Technology and Dr. Trevor Keenan of University of California Berkeley. For more information about the program visit https://cpaess.ucar.edu/cgc/
Published in Journal of Geophysical Research- Biogeosciences, 2017
Recommended citation: K.I. Wheeler, D.F. Levia, J.E. Hudson (2017). "Tracking senescence-induced patterns in leaf litter leachate using parallel factor analysis modeling (PARAFAC) and self-organizing maps." Journal of Geophysical Research- Biogeosciences 122(9):2233-2250. https://agupubs.onlinelibrary.wiley.com/doi/pdfdirect/10.1002/2016JG003677
Published in Journal of Plant Nutrition and Soil Science, 2018
Recommended citation: J.E. Hudson, D.F. Levia, K.I. Wheeler, C.G. Winters, M. Vaughan, J. Chace, R. Sleeper (2018). "American beech leaf-litter leachate chemistry: effects of geography and phenophase." Journal of Plant Nutrition and Soil Science 181(2):287-295. https://onlinelibrary.wiley.com/doi/pdf/10.1002/jpln.201700074
Published in Oxford Bibliographies, 2018
Annotated bibliography
Recommended citation: M.C. Dietze, C. Averill, J. Foster, K. Wheeler (2018). "Ecological Forecasting." Oxford Bibliographies. DOI: 10.1093/OBO/9780199830060-0205. https://www.oxfordbibliographies.com/view/document/obo-9780199830060/obo-9780199830060-0205.xml
Published in Remote Sensing, 2019
Recommended citation: K.I. Wheeler, M.C. Dietze (2019). "A statistical model for estimating midday NDVI from the Geostationary Operational Environmental Satellite (GOES) 16 and 17." Remote Sensing 11(21):2507. https://www.mdpi.com/2072-4292/11/21/2507/htm
Published in Oecologia, 2019
Recommended citation: K.I. Wheeler, D.F. Levia, R. Vargas (2020). "Visible and near-infrared hyperspectral indices explain more variation in lower-crown leaf nitrogen concentrations in autumn than in summer." Oecologia. 192:13-27. https://link.springer.com/article/10.1007/s00442-019-04554-2
Published in Frontiers in Ecology and the Environment, 2021
Recommended citation: C.R. Rollinson, A. Finley, M.R. Alexander, S. Banerjee, K.-A.D. Hamil, L.E. Koenig, D.H. Locke, M. Peterson, M. Tingley, K. Wheeler, C. Youngflesh, E.F. Zipkin. (2021) "Working across space and time: nonstationarity in ecological research and application." Frontiers in Ecology and the Environment 19(1): 66-72. https://esajournals.onlinelibrary.wiley.com/doi/pdf/10.1002/fee.2298
Published in Biogeosciences, 2021
Recommended citation: K.I. Wheeler, M.C. Dietze (2021). "Improving the monitoring of deciduous broadleaf phenology using the Geostationary Operational Environmental Satellite (GOES) 16 and 17." Biogeosciences 18: 1971-1985. https://bg.copernicus.org/articles/18/1971/2021/
Published in Hydrological Processes, 2021
Recommended citation: S. Iida*, K.I. Wheeler*, K. Nanko, Y. Shinohara, X. Sun, N. Sakai, D.F. Levia (2021). "Canopy structure metrics governing stemflow funneling differs between leafed and leafless states: Insights from a large-scale rainfall simulator". Hydrological Processes 35:e14294. *These authors contributed equally. https://onlinelibrary.wiley.com/doi/pdf/10.1002/hyp.14294
Published in PLoS Computational Biology, 2021
Recommended citation: W.M. Woelmer, L.M. Bradley, L. Haber, D. Klinges, A.S.L. Lewis, E. Mohr, C.L. Torrens, K.I. Wheeler, A.M. Willson (2021). "10 Simple Rules for training yourself in an emerging field" PLoS Computational Biology 17(10): e1009440. https://doi.org/10.1371/journal.pcbi.1009440 https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1009440
Published in Ecosphere, 2023
Recommended citation: B.S. Halpern et al. [including K.I. Wheeler] (2023). "Priorities for synthesis in ecology and environmental science." Ecosphere. 14(1):e4342. https://esajournals.onlinelibrary.wiley.com/doi/10.1002/ecs2.4342
Published in Agricultural and Forest Meteorology, 2024
Recommended citation: K.I. Wheeler, M.C. Dietze, D. LeBauer, J. Peters, A. Richardson, A. Ross, R.Q. Thomas, K. Zhu, U. Bhat, S. Munch, M. Chen, R. Floreani Buzbee, B. Goldstein, J. Guo, D. Hao, C. Jones, M. Kelly-Fair, H. Liu, C. Malmborg, N. Neupane, D. Pal, V. Shirey, Y. Song, M. Steen, E. Vance, W. Woelmer, J. Wynne, L. Zachmann (2024). "Predicting spring phenology in deciduous broadleaf forests: NEON Phenology Forecasting Community Challenge." Agricultural and Forest Meterology. 345:109810. https://www.sciencedirect.com/science/article/pii/S0168192323005002