Taylor E. Woods, Ph.D.
Taylor is a research ecologist at the USGS Eastern Ecological Science Center Center in Kearneysville, WV
Dr. Taylor Woods is a macroecologist whose research investigates the effects of global change on biodiversity, body size, and phenology in freshwaters.
Professional Experience
2023 - Present: Research Ecologist, U.S. Geological Survey, Eastern Ecological Science Center
2022 - 2023: Post-doctoral Research Ecologist, U.S. Geological Survey, Eastern Ecological Science Center
Education and Certifications
Ph.D. 2022, Ecology and Evolutionary Biology, University of Tennessee - Knoxville
M.Sc 2018, Environmental Studies, Virginia Commonwealth University
B.Sc. 2011, Environmental Biology, Tulane University
Science and Products
“ChesBay 24k – NE": Natural Environment Related Data Summaries for the Chesapeake Bay Watershed Within NHD Plus HR catchments (ver. 4.0, August 2025) “ChesBay 24k – NE": Natural Environment Related Data Summaries for the Chesapeake Bay Watershed Within NHD Plus HR catchments (ver. 4.0, August 2025)
These tabular data are the summarization of natural environment related variables within catchments of the Chesapeake Bay watershed at the 1:24,000 scale using the xstrm methodology. Variables being counted as natural environment related include soils/geology, lithology, elevation, slope, stream gradient, landform (geomorphon) and others. Outputs include tabular comma-separated values...
“ChesBay 24k – CL": Climate Related Data Summaries for the Chesapeake Bay Watershed Within NHD Plus HR catchments (ver. 4.0, August 2025) “ChesBay 24k – CL": Climate Related Data Summaries for the Chesapeake Bay Watershed Within NHD Plus HR catchments (ver. 4.0, August 2025)
These tabular data are the summarization of climate related variables within catchments of the Chesapeake Bay watershed at the 1:24,000 scale using the xstrm methodology. Variables being counted as climate related include temperature and precipitation by both annual and monthly timesteps. Outputs include tabular comma-separated values files (CSVs) and parquet formatted files for the...
“ChesBay 24k – HU": Human Related Data Summaries for the Chesapeake Bay Watershed Within NHD Plus HR catchments (ver. 3.0, August 2025) “ChesBay 24k – HU": Human Related Data Summaries for the Chesapeake Bay Watershed Within NHD Plus HR catchments (ver. 3.0, August 2025)
These tabular data are the summarization of human related variables within catchments of the Chesapeake Bay watershed at the 1:24,000 scale using the xstrm methodology. Variables being counted as human related include agriculture, barriers, road density, pesticide, and road/stream crossing data. Outputs include tabular comma-separated values files (CSVs), and parquet formatted files for...
Observed and projected functional reorganization of riverine fish assemblages from global change Observed and projected functional reorganization of riverine fish assemblages from global change
Climate and land-use/land-cover change (‘global change’) are restructuring biodiversity, globally. Broadly, environmental conditions are expected to become warmer, potentially drier (particularly in arid regions), and more anthropogenically developed in the future, with spatiotemporally complex effects on ecological communities. We used functional traits to inform Chesapeake Bay...
Authors
Taylor Woods, Mary Freeman, Kevin P. Krause, Kelly O. Maloney
Influence of grain size and shape on volcanic ash electrical conductivity Influence of grain size and shape on volcanic ash electrical conductivity
Few studies have examined the electrical properties of volcanic ash or considered the effects of physical characteristics, such as grain size and shape on its electrification. This study measures the resistivity of eight volcanic ash samples, three milled-samples and five natural ashfall samples from Alaska, U.S.A., using a current amplifier and examines the influence of particle size...
Authors
Taylor Woods, Kimberly Genareau, Kristi L. Wallace
Non-USGS Publications**
Woods, T., Kaz, A., & Giam, X. (2022). Phenology in freshwaters: A review and recommendations for future research. Ecography, 2022(6), e05564. https://doi.org/10.1111/ecog.05564.
Woods, T., Comte, L., Tedesco, P. A., & Giam, X. (2020). Testing the diversity–biomass relationship in riverine fish communities. Global Ecology and Biogeography, 29(10), 1743-1757. https://doi.org/10.1111/geb.13147.
McGarvey, D. J., Woods, T. E., & Kirk, A. J. (2019). Modeling the Size Spectrum for Macroinvertebrates and Fishes in Stream Ecosystems. JoVE (Journal of Visualized Experiments), (149), e59945. https://dx.doi.org/10.3791/59945.
Woods, T., & McGarvey, D. J. (2018). Assessing the relative influences of abiotic and biotic factors on American eel Anguilla rostrata distribution using hydrologic, physical habitat, and functional trait data. Ecography, 41(12), 2067-2079. https://doi.org/10.1111/ecog.03782.
McGarvey, D. J., Menon, M., Woods, T., Tassone, S., Reese, J., Vergamini, M., & Kellogg, E. (2018). On the use of climate covariates in aquatic species distribution models: are we at risk of throwing out the baby with the bath water?. Ecography, 41(4), 695-712. https://doi.org/10.1111/ecog.03134.
**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.
Science and Products
“ChesBay 24k – NE": Natural Environment Related Data Summaries for the Chesapeake Bay Watershed Within NHD Plus HR catchments (ver. 4.0, August 2025) “ChesBay 24k – NE": Natural Environment Related Data Summaries for the Chesapeake Bay Watershed Within NHD Plus HR catchments (ver. 4.0, August 2025)
These tabular data are the summarization of natural environment related variables within catchments of the Chesapeake Bay watershed at the 1:24,000 scale using the xstrm methodology. Variables being counted as natural environment related include soils/geology, lithology, elevation, slope, stream gradient, landform (geomorphon) and others. Outputs include tabular comma-separated values...
“ChesBay 24k – CL": Climate Related Data Summaries for the Chesapeake Bay Watershed Within NHD Plus HR catchments (ver. 4.0, August 2025) “ChesBay 24k – CL": Climate Related Data Summaries for the Chesapeake Bay Watershed Within NHD Plus HR catchments (ver. 4.0, August 2025)
These tabular data are the summarization of climate related variables within catchments of the Chesapeake Bay watershed at the 1:24,000 scale using the xstrm methodology. Variables being counted as climate related include temperature and precipitation by both annual and monthly timesteps. Outputs include tabular comma-separated values files (CSVs) and parquet formatted files for the...
“ChesBay 24k – HU": Human Related Data Summaries for the Chesapeake Bay Watershed Within NHD Plus HR catchments (ver. 3.0, August 2025) “ChesBay 24k – HU": Human Related Data Summaries for the Chesapeake Bay Watershed Within NHD Plus HR catchments (ver. 3.0, August 2025)
These tabular data are the summarization of human related variables within catchments of the Chesapeake Bay watershed at the 1:24,000 scale using the xstrm methodology. Variables being counted as human related include agriculture, barriers, road density, pesticide, and road/stream crossing data. Outputs include tabular comma-separated values files (CSVs), and parquet formatted files for...
Observed and projected functional reorganization of riverine fish assemblages from global change Observed and projected functional reorganization of riverine fish assemblages from global change
Climate and land-use/land-cover change (‘global change’) are restructuring biodiversity, globally. Broadly, environmental conditions are expected to become warmer, potentially drier (particularly in arid regions), and more anthropogenically developed in the future, with spatiotemporally complex effects on ecological communities. We used functional traits to inform Chesapeake Bay...
Authors
Taylor Woods, Mary Freeman, Kevin P. Krause, Kelly O. Maloney
Influence of grain size and shape on volcanic ash electrical conductivity Influence of grain size and shape on volcanic ash electrical conductivity
Few studies have examined the electrical properties of volcanic ash or considered the effects of physical characteristics, such as grain size and shape on its electrification. This study measures the resistivity of eight volcanic ash samples, three milled-samples and five natural ashfall samples from Alaska, U.S.A., using a current amplifier and examines the influence of particle size...
Authors
Taylor Woods, Kimberly Genareau, Kristi L. Wallace
Non-USGS Publications**
Woods, T., Kaz, A., & Giam, X. (2022). Phenology in freshwaters: A review and recommendations for future research. Ecography, 2022(6), e05564. https://doi.org/10.1111/ecog.05564.
Woods, T., Comte, L., Tedesco, P. A., & Giam, X. (2020). Testing the diversity–biomass relationship in riverine fish communities. Global Ecology and Biogeography, 29(10), 1743-1757. https://doi.org/10.1111/geb.13147.
McGarvey, D. J., Woods, T. E., & Kirk, A. J. (2019). Modeling the Size Spectrum for Macroinvertebrates and Fishes in Stream Ecosystems. JoVE (Journal of Visualized Experiments), (149), e59945. https://dx.doi.org/10.3791/59945.
Woods, T., & McGarvey, D. J. (2018). Assessing the relative influences of abiotic and biotic factors on American eel Anguilla rostrata distribution using hydrologic, physical habitat, and functional trait data. Ecography, 41(12), 2067-2079. https://doi.org/10.1111/ecog.03782.
McGarvey, D. J., Menon, M., Woods, T., Tassone, S., Reese, J., Vergamini, M., & Kellogg, E. (2018). On the use of climate covariates in aquatic species distribution models: are we at risk of throwing out the baby with the bath water?. Ecography, 41(4), 695-712. https://doi.org/10.1111/ecog.03134.
**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.