Samuel Pecoraro is an Ecologist at the USGS Great Lakes Science Center’s (GLSC) Lake Michigan Ecological Research Station, located within the Indiana Dunes National Park.
Sam has worked with USGS since 2016, on landscape ecology and spatial data analyses at scales ranging from metapopulation to continental. He has experience with acoustic technology first to model Great Lakes substrates by repurposing the GLSC’s historic fishery sonar data, and more recently to survey and model fish spawning habitat with multibeam data. Sam has worked on mapping the federally threatened Pitcher’s thistle (Cirsium pitcheri), which is endemic to The Great Lakes. While with USGS, he has been able to study the migration of the iconic monarch butterfly (Danaus plexippus) in collaboration with partners. Sam is interested in the ways technology can help solve the great ecological challenges; he has been involved in the development of the GLSC’s computer vision program, which was created to help meet objectives laid out by the Great Lakes Water Quality Agreement and Lakebed 2030.
Professional Experience
(2016 – present) Ecologist, USGS Great Lakes Science Center
(2014 – 2015) Visiting Scholar, Boston University
(2011 – 2012) Project Manager, PaleoEcological Observatory Network
Education and Certifications
M.S. 2014, Ecology, University of Notre Dame
B.S. 2010, Environmental Science, University of Notre Dame
Honors and Awards
James W. Moffett Award for the best scientific publication authored by personnel of the Great Lakes Science Center (2020).
Abstracts and Presentations
Pecoraro, S.D., Arnold, A.J., Geisz, J., and Esselman, P.C. (2022) High-Resolution Mapping of Spawning Reefs to Support Conservation in Northern Lake Michigan.
Science and Products
Data releases by this scientist
Lakebed features extracted from single-beam sonar in two Laurentian Great Lakes
High-resolution bathymetry and backscatter data collected near the Stamp Sands of Lake Superior in 2021
Publications by this scientist
Large-scale variation in lakebed properties interpreted from single-beam sonar in two Laurentian Great Lakes
Evaluating the migration mortality hypothesis using monarch tagging data
Is the timing, pace and success of the monarch migration associated with sun angle?
Balancing sampling intensity against spatial coverage for a community science monitoring programme
News about this scientist
Science and Products
- Data
Data releases by this scientist
Lakebed features extracted from single-beam sonar in two Laurentian Great Lakes
Acoustic seabed classification (ASC) is an important method for understanding landscape-level physical and biological patterns in the aquatic environment. Bottom habitats in the Laurentian Great Lakes are poorly mapped to date, and will require a variety of contributors and data sources to complete. We repurposed a long-term split-beam echosounder dataset gathered for purposes of fisheries assessmHigh-resolution bathymetry and backscatter data collected near the Stamp Sands of Lake Superior in 2021
The erosion and active transport of legacy mine tailings (called “stamp sands”) are impacting native fish species and aquatic habitats on a shallow water rocky reef complex along the Keweenaw Peninsula of Michigan called Buffalo Reef. Stamp sands are spreading from an old mill site at the Town of Gay and settling on the reef. Multiple surveys have documented the underwater migration of toxic, meta - Multimedia
- Publications
Publications by this scientist
Large-scale variation in lakebed properties interpreted from single-beam sonar in two Laurentian Great Lakes
Acoustic seabed classification (ASC) is an important method for understanding landscape-level physical and biological patterns in the aquatic environment. Bottom habitats in the Laurentian Great Lakes are poorly mapped to date, and will require a variety of contributors and data sources to complete. We repurposed a long-term split-beam echosounder dataset gathered for purposes of fisheries assessmAuthorsSamuel Pecoraro, Peter C. Esselman, Timothy P. O'Brien, Steve A. Farha, David WarnerEvaluating the migration mortality hypothesis using monarch tagging data
The decline in the eastern North American population of the monarch butterfly population since the late 1990s has been attributed to the loss of milkweed during the summer breeding season and the consequent reduction in the size of the summer population that migrates to central Mexico to overwinter (milkweed limitation hypothesis). However, in some studies the size of the summer population was notAuthorsOrley R. Taylor, John M. Pleasants, Ralph Grundel, Samuel Pecoraro, James P. Lovett, Ann RyanIs the timing, pace and success of the monarch migration associated with sun angle?
A basic question concerning the monarch butterfly’s fall migration is which monarchs succeed in reaching overwintering sites in Mexico, which fail—and why. We document the timing and pace of the fall migration, ask whether the sun’s position in the sky is associated with the pace of the migration, and whether timing affects success in completing the migration. Using data from the Monarch Watch tagAuthorsOrley R. Taylor, James P Lovett, David L Gibo, Emily L. Weiser, Wayne E. Thogmartin, Darius J. Semmens, James E. Diffendorfer, John M. Pleasants, Samuel Pecoraro, Ralph GrundelBalancing sampling intensity against spatial coverage for a community science monitoring programme
Community science is an increasingly integral part of biodiversity research and monitoring, often achieving broad spatial and temporal coverage but lower sampling intensity than studies conducted by professional scientists. When designing a community‐science monitoring programme, careful assessment of sampling designs that could be both feasible and successful at meeting programme goals is essentiAuthorsEmily L. Weiser, Jay E. Diffendorfer, Ralph Grundel, Laura Lopez Hoffman, Samuel Pecoraro, Darius J. Semmens, Wayne E. Thogmartin - News
News about this scientist