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Audrey Lothspeich

Audrey Lothspeich is a Geographer at the USGS Northern Prairie Wildlife Research Center in Jamestown, North Dakota.

Her research is focused on the management-relevant applications of remote sensing to ecosystem science. In particular, she studies how remotely-sensed estimates of surface water extent can be integrated with hydrological modeling or monitoring data. Audrey also supports research across the center and has lent her geospatial analysis expertise to research including rusty patched bumblebees and their habitat, amphibian and duck population modeling, and studies of landscape-scale wetland distribution and connectivity.

Professional Experience

  • 2022 to present: Geographer, U.S. Geological Survey, Northern Prairie Wildlife Research Center

Education and Certifications

  • M.S., Natural Resource Science and Management (Assessment Monitoring and Geospatial Analysis), University of Minnesota, 2021

  • B.A., Biology (ecology emphasis), Carleton College, 2017

Science and Products

Non-USGS Publications**

Lothspeich, A.C.; Knight, J.F. The Applicability of LandTrendr to Surface Water Dynamics: A Case Study of Minnesota from 1984 to 2019 Using Google Earth Engine. Remote Sens. 2022, 14, 2662. https://doi.org/10.3390/rs14112662
Qiongyu Huang, Christen H. Fleming, Benjamin Robb, Audrey Lothspeich, Melissa Songer.
How different are species distribution model predictions? - Application of a new measure of dissimilarity and level of significance to giant panda Ailuropoda melanoleuca. Ecological Informatics,
Volume 46, 2018. Pages 114-124, ISSN 1574-9541, https://doi.org/10.1016/j.ecoinf.2018.06.004
Qiongyu Huang et al 2020 Environ. Res. Lett. 15 084036. What drove giant panda Ailuropoda melanoleuca expansion in the Qinling Mountains? An analysis comparing the influence of climate, bamboo, and various landscape variables in the past decade. https://doi.org/10.1088/1748-9326/ab86f3

**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

Non-USGS Publications**

Lothspeich, A.C.; Knight, J.F. The Applicability of LandTrendr to Surface Water Dynamics: A Case Study of Minnesota from 1984 to 2019 Using Google Earth Engine. Remote Sens. 2022, 14, 2662. https://doi.org/10.3390/rs14112662
Qiongyu Huang, Christen H. Fleming, Benjamin Robb, Audrey Lothspeich, Melissa Songer.
How different are species distribution model predictions? - Application of a new measure of dissimilarity and level of significance to giant panda Ailuropoda melanoleuca. Ecological Informatics,
Volume 46, 2018. Pages 114-124, ISSN 1574-9541, https://doi.org/10.1016/j.ecoinf.2018.06.004
Qiongyu Huang et al 2020 Environ. Res. Lett. 15 084036. What drove giant panda Ailuropoda melanoleuca expansion in the Qinling Mountains? An analysis comparing the influence of climate, bamboo, and various landscape variables in the past decade. https://doi.org/10.1088/1748-9326/ab86f3

**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.