Skip to main content
U.S. flag

An official website of the United States government

Gregor-Fausto Siegmund, Ph.D.

As a post-doctoral research ecologist with the US Geological Survey’s Southwest Biological Science Center, Gregor works to understand the environmental variables that influence plant regeneration in the Great Basin and the Colorado Plateau. His research synthesizes existing knowledge to develop new models to forecast successful plant establishment in restoration projects in western US drylands.

Dr. Siegmund is a plant and quantitative ecologist interested in population and community responses to environmental variability. In particular, he is fascinated by how organisms persist under abiotic and biotic unpredictability and uncertainty. In his dissertation, he studied the effect of temporal variability on the ecology and evolution of annual plants.

Professional Experience

  • 2023-present: Postdoctoral research ecologist – US Geological Survey, Southwest Biological Science Center, Flagstaff, AZ

  • 2022-2023: Research Contractor –Northern Arizona University, Center for Adaptable Western Landscapes, Flagstaff, AZ

Education and Certifications

  • 2022 – Ph.D., Ecology and Evolutionary Biology, Cornell University

  • 2013 – B.A., Biological Sciences, University of Chicago

Science and Products

USGS

Data quality control for everyone: a course and recipes for well-documented data workflows in R

Developing training materials that cover data quality control using the R programming language
By
Community for Data Integration (CDI)
Data quality control for everyone: a course and recipes for well-documented data workflows in R

Data quality control for everyone: a course and recipes for well-documented data workflows in R

Developing training materials that cover data quality control using the R programming language
Learn More

Supporting dryland restoration success with applied ecological forecasting of seeding outcomes Supporting dryland restoration success with applied ecological forecasting of seeding outcomes

Introduction Ecological restoration is increasingly used to sustain biodiversity and ecosystem services. In drylands of the western United States (US), post-disturbance restoration often involves seeding treatments to promote the recovery of native plant communities. Spatial and temporal variability in environmental conditions influences plant establishment and contributes to low...
Authors
Gregor-Fausto Siegmund, Daniel Rodolphe Schlaepfer, Caitlin M. Andrews, Leland D. Bennion, Jacob Ferguson, Michelle I. Jeffries, Peggy Olwell, David S. Pilliod, Allison B. Simler-Williamson, Alice E. Stears, Regina Zweng, John B. Bradford
By
Ecosystems Mission Area, Southwest Biological Science Center

Non-USGS Publications**

Eisen, K.E., Siegmund, G.-F., Watson, M.A., and Geber, M.A., 2023, Variation in the location and timing of experimental severing demonstrates that the persistent rhizome serves multiple functions in a clonal forest understorey herb: Functional Ecology, v. 36, no. 2, p. 356-367, https://doi.org/10.1111/1365-2435.13970
Siegmund, G.-F., and Geber, M.A., 2023, Statistical inference for seed mortality and germination with seed bank experiments: Ecology, v. 104, no. 4, e3948, p. 1-17, https://doi.org/10.1002/ecy.3948
Siegmund, G.-F., Moeller, D.A., Eckhart, V.M., and Geber, M.A., 2023, Bet hedging is not sufficient to explain germination patterns of a winter annual plant: The American Naturalist, https://doi.org/10.1086/72678

**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

USGS

Data quality control for everyone: a course and recipes for well-documented data workflows in R

Developing training materials that cover data quality control using the R programming language
By
Community for Data Integration (CDI)
Data quality control for everyone: a course and recipes for well-documented data workflows in R

Data quality control for everyone: a course and recipes for well-documented data workflows in R

Developing training materials that cover data quality control using the R programming language
Learn More

Supporting dryland restoration success with applied ecological forecasting of seeding outcomes Supporting dryland restoration success with applied ecological forecasting of seeding outcomes

Introduction Ecological restoration is increasingly used to sustain biodiversity and ecosystem services. In drylands of the western United States (US), post-disturbance restoration often involves seeding treatments to promote the recovery of native plant communities. Spatial and temporal variability in environmental conditions influences plant establishment and contributes to low...
Authors
Gregor-Fausto Siegmund, Daniel Rodolphe Schlaepfer, Caitlin M. Andrews, Leland D. Bennion, Jacob Ferguson, Michelle I. Jeffries, Peggy Olwell, David S. Pilliod, Allison B. Simler-Williamson, Alice E. Stears, Regina Zweng, John B. Bradford
By
Ecosystems Mission Area, Southwest Biological Science Center

Non-USGS Publications**

Eisen, K.E., Siegmund, G.-F., Watson, M.A., and Geber, M.A., 2023, Variation in the location and timing of experimental severing demonstrates that the persistent rhizome serves multiple functions in a clonal forest understorey herb: Functional Ecology, v. 36, no. 2, p. 356-367, https://doi.org/10.1111/1365-2435.13970
Siegmund, G.-F., and Geber, M.A., 2023, Statistical inference for seed mortality and germination with seed bank experiments: Ecology, v. 104, no. 4, e3948, p. 1-17, https://doi.org/10.1002/ecy.3948
Siegmund, G.-F., Moeller, D.A., Eckhart, V.M., and Geber, M.A., 2023, Bet hedging is not sufficient to explain germination patterns of a winter annual plant: The American Naturalist, https://doi.org/10.1086/72678

**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.

Was this page helpful?