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Work Experience

ORISE Postdoctorial Fellow | USDA-ARS Jornada Experimental Range | Dr. Dawn Browning | Las Cruces, NM
Nov. 2020 - Present

Postdoctorial Researcher | USDA-ARS Jornada Experimental Range | Dr. Dawn Browning | Las Cruces, NM
Nov. 2019 - Oct. 2020

Research Associate | University of Florida | Dr. Ethan White | Gainesville, FL
Aug. 2015 - Nov. 2019

Lab Manager | Agricultural Research Station | Dr. Beth Newingham | Reno, NV
May - August 2015

Biological Science Technician | U.S. Forest Service | Idaho, Montana, Oregon, Utah
May - October 2012, April 2013 - November 2014


PhD in Ecology. Dec. 2019. University of Florida, Gainesville, FL <> White Lab
Disseration: Forecasting plant phenology: an assessment of data sources and estimators, and a fully automated implementation

BS in Ecology and Conservation Biology. 2012. University of Idaho, Moscow, ID


Google Scholar

10 Taylor, S.D., Browning, D.M., Baca, R.A., Gao, F. Accepted - In Press. Constraints and Opportunities for Detecting Land Surface Phenology in Drylands. Journal of Remote Sensing. [Preprint, Code, Data & Code Archive]

9 Browning, D. M., Russell, E. S., Ponce-Campos, G. E., Kaplan, N., Richardson, A. D., Seyednasrollah, B., … Taylor, S. D. 2021. Monitoring agroecosystem productivity and phenology at a national scale: A metric assessment framework. Ecological Indicators, 131, 108147.

8 Taylor, Shawn D., and Dawn M. Browning. 2021. Multi-Scale Assessment of a Grassland Productivity Model. Biogeosciences 18 (6): 2213–20. [Code, Data & Code Archive

7 Prince, K., Taylor, S., & Angelini, C. 2020. A global, cross-system meta-analysis of polychlorinated biphenyl biomagnification. Environmental Science & Technology.

6 Taylor, S.D., Marconi, S. 2020. Rethinking global carbon storage potential of trees. A comment on Bastin et al. (2019). Annals of Forest Science 77, 23. [Code, Data & Code Archive, Preprint]

5 Taylor, S.D., White, E.P., 2019. Automated data-intensive forecasting of plant phenology throughout the United States. Ecological Applications. [Code, Code Archive, Preprint]

4 Taylor, S.D. 2019. Estimating flowering transition dates from status-based phenological observations: a test of methods. PeerJ 7:e7720 [Code, Code Archive, Preprint]

3 Taylor, S.D., J.M. Meiners, K. Riemer, M.C. Orr, E.P White. 2019. Comparison of large-scale citizen science data and long-term study data for phenology modeling. Ecology 100 (2): e02568.[Preprint,Code]

2 Harris, D.J., S.D. Taylor, E.P. White. 2018. Forecasting biodiversity in breeding birds using best practices. PeerJ, 6:e4278 [ Code, Code Archive, Preprint]

1 White, E.P., G.M. Yenni, S.D. Taylor, E.M. Christensen, E.K. Bledsoe, J.L. Simonis, S.K.M. Ernest. 2018. Developing an automated iterative near-term forecasting system for an ecological study. Methods in Ecology and Evolution [Website, Data, Code, Preprint]


Taylor, SD and White, EP, 2020. Influence of climate forecasts, data assimilation, and uncertainty propagation on the performance of near-term phenology forecasts. bioRxiv,
[Code, Data & Code Archive]

Taylor, SD and Guralnick, RP, 2019. Opportunistically collected photographs can be used to estimate large-scale phenological trends. bioRxiv, 794396. [Data & Code Archive]

Taylor, SD. 2018. “NEON NIST Data Science Evaluation Challenge: Methods and Results of Team Shawn.” PeerJ Preprints 6: e26967v1.


Christensen, E.M., Yenni, G.M., Ye, H., Simonis, J.L., Bledsoe, E.K., Diaz, R., Taylor, S.D., White, E.P. and Ernest, S.M. 2019. portalr: An R Package for Summarizing and Using the Portal Project Data. Journal of Open Source Software 4 (33): 1098. [Repo]

Taylor, S.D. 2018. pyPhenology: A python framework for plant phenology modelling. The Journal of Open Source Software 3: 827. [Repo, Docs]

McGlinn, D., H. Senyondo, S.D. Taylor, M. Pohlman, and E.P. White. 2015-present. rdataretriever: R Interface to the Data Retriever.

Posters & Presentations

Taylor, S.D. and Browning, D.M. 2020. Interactive long-term forecasts for the phenology and productivity of Western rangelands. Ecological Society of America Conference 2020.

Taylor, S.D. and White, E.P. 2018. Evaluation of a near term plant phenology forecast. Phenology Conference 2018. Melbourne, VIC, Australia. Best Student Poster

Taylor, S.D. and White, E.P. 2018. Evaluation of a near term plant phenology forecast. F1000Research, 7:1274 (poster) (

Taylor, S.D. and White, E.P. 2016. Ecological Forecasting and Scale. Gordon Research Conference: Unifying Ecology Across Scales. University of New England. Biddeford, ME. (Poster)

Taylor, S.D. and Newingham, B.A. 2012. Influences of soil and spatial properties on Bromus tectorum distribution after fire. Annual Meeting of the Society of Range Management, Spokane, WA. (Presentation)

Invited Talks

Ecological Forecasting: Concepts, Recommendations, and Examples. LTER Metacommunities Working Group. Boulder, CO. Nov. 5, 2018. Organizer: Eric R. Sokol.
Can we forecast plant phenology like the weather? March, 2020. Univ. of Texas, El Paso Ecology and Evolutionary Biology Seminar.
The pipeline of phenological data in large scale automated forecasts. Ecological Society of America Conference 2020. Session: “Innovation in the Integration and Analysis of Large Phenological Datasets.”

Workshops Tought

Weekly R Meetup. Various presentations & ongoing R Help Desk. University of Florida. Jan. 2018 - May 2019
7 Week Data carpentry workshop Jan. 1 - March 8, 2018 Blog Post
Data Carpentry, Utah State University, September 29-30, 2017
Software Carpentry, University of Florida, May 25-26, 2017
Data Carpentry, University of Florida, October 17-18, 2016
Software Carpentry, University of Florida, August 17-18, 2016

Certifications & Trainings

Near Term Ecological Forecasting Workshop Boston, Massachusetts - (7/2018)

Instructor Training Data Carpentry - (7/2016)

Honors & Grants

2017 NSF GRFP Honorable Mention
2016 Carl Storm Underrepresented Minority Fellowship (Travel Grant)
2012 Outstanding Ecology and Conservation Biology Nominated
2012 Henry & Ingeborg Legoll Scholarship
2011 Research Award for Undergraduates NSF Idaho EPSCoR


R, Python, SQL, Git, ArcGIS, QGIS, UNIX/Linux, parallel programming, high performance clusters.
Botany. Fluency in most plants of the Western U.S. Expert in the Inland Northwest.