A multi-beam sonar image captured by Great Lakes Science Center researchers in June 2022.
Peter C Esselman, PhD
Peter Esselman, PhD, is a Research Fishery Biologist based in Ann Arbor, MI.
My research extends the theory and approaches of landscape ecology into large lake and river contexts to support natural resource decision making from local to continental scales. Since joining USGS in 2014, I have worked to apply emerging technologies and analytical approaches to the description of large-scale spatiotemporal variation in forage fish abundances and habitats that underpin Great Lakes commercial and recreational fisheries. I am also actively engaged in the detection, measurement and modeling of invasive and nuisance species distributions and abundances to support the Great Lakes Water Quality Agreement. I am a strong advocate for modernization of data collection methods, aquatic remote sensing, and improving bathymetric and habitat maps for the Great Lakes. Prior to joining USGS I worked extensively in Central America where I studied tropical river ecosystems and supported global and local conservation organizations. I have specialties in fish community ecology, landscape ecology, biological assessment, applications of machine learning models to ecological problems, field methods, and spatial planning.
Professional Experience
Research Fish Biologist, US Geological Survey Great Lakes Science Center (2014-present)
Assistant Professor, Michigan State University Dept of Zoology (2011-2014)
Consultant to the National Oceanographic and Atmospheric Administration (NOAA) (2012-2015)
Research Associate, Michigan State University Dept. of Fisheries and Wildlife and Center for Systems Integration and Sustainability (CSIS) (2009-2011)
Consultant, The World Bank (2008-2009)
Consultant, The Nature Conservancy (TNC) Global Freshwater Team (2006-2009)
Consultant, City of Knowledge Foundation (2006-2007)
Consultant to TNC Belize Country Program (2001-2002; 2003; 2008)
Education and Certifications
Ph.D. (Aquatic Resource Ecology and Management) University of Michigan, School of Natural Resources & Environment, 2009
M.Sc. (Conservation Ecology and Sustainable Development) University of Georgia, Institute of Ecology, 2001
B.A. (Environmental Studies/Anthropology minor) Connecticut College, 1994
Science and Products
Science pages by this scientist
Use of Advanced Technologies to Improve Fisheries Assessments on Lake Superior
Development and application of a robot-assisted computer vision system to map Great Lakes bottom habitats and biology
Data releases by this scientist
High-resolution bathymetry and backscatter data collected at eighteen spawning reefs in NE Lake Michigan using a Norbit iWBMSh multibeam echosounder, 2021-2023 (UTM Zone 16N, NAD 83, NAVD 88)
Down-looking Images of Lake Trout (Salvelinus namaycush) and Round Goby (Neogobius melanostomus) to Support Automated Biomass Estimation
Hydroacoustic data from uncrewed surface vehicle (USV) overtakes in Lake Superior, 2022
Down-looking camera images of round goby (Neogobius melanostomus) within constructed sand and cobble habitats in laboratory microcosms Nov. 2021 – Jan. 2022
Autonomously Collected Benthic Imagery for Substrate Prediction, Lake Michigan 2020-2021
Lakebed features extracted from single-beam sonar in two Laurentian Great Lakes
Hydroacoustic data from uncrewed surface vehicle (USV) overtakes in Lakes Huron and Michigan, 2021
High-resolution bathymetry and backscatter data collected near the Stamp Sands of Lake Superior in 2021
Habitat and fish assemblages along four river mainstems in Ontario, Canada, 1997 to 2001, with supporting spatial data
Bee-Gap: Ecology, Life-History, and Distribution of Bee Species in the United States 2017
Multimedia related to this scientist
A multi-beam sonar image captured by Great Lakes Science Center researchers in June 2022.
Long-range autonomous underwater vehicle 'Tethys' upon retrieval after a 400 km mission in Lake Michigan to collect the environmental DNA (bits of DNA drifting in the environment) of pelagic prey fish through a partnership between the USGS Great Lakes Science Center and the Monterrey Bay Aquarium Research Institute. Photo Credit: Peter Esselman, USGS.
Long-range autonomous underwater vehicle 'Tethys' upon retrieval after a 400 km mission in Lake Michigan to collect the environmental DNA (bits of DNA drifting in the environment) of pelagic prey fish through a partnership between the USGS Great Lakes Science Center and the Monterrey Bay Aquarium Research Institute. Photo Credit: Peter Esselman, USGS.
After a day of deploying an autonomous underwater vehicle along the shore of Lake Michigan, the field team encountered dark skies while returning to port in Grand Haven, Michigan.
After a day of deploying an autonomous underwater vehicle along the shore of Lake Michigan, the field team encountered dark skies while returning to port in Grand Haven, Michigan.
This SCUBA diver is using a camera integrated with a scooter running a circular transect. The white line attached to the scooter is also attached to a pivot point at the center of the sample area.
This SCUBA diver is using a camera integrated with a scooter running a circular transect. The white line attached to the scooter is also attached to a pivot point at the center of the sample area.
The USGS along with the Monterey Bay Aquarium Research Institute (MBARI) funded a pilot study to use a long-range AUV to study limnology of Lake Michigan. The AUV is pictured here being deployed in Lake Michigan to document variation in algae productivity at a whole-lake scale and compare 3-D spatial patterns in chlorophyll a to satellite estimates.
The USGS along with the Monterey Bay Aquarium Research Institute (MBARI) funded a pilot study to use a long-range AUV to study limnology of Lake Michigan. The AUV is pictured here being deployed in Lake Michigan to document variation in algae productivity at a whole-lake scale and compare 3-D spatial patterns in chlorophyll a to satellite estimates.
A camera integrated wth a dive scooter is lowered into the water in Lake Ontario
A camera integrated wth a dive scooter is lowered into the water in Lake Ontario
A smallmouth bass swims near a diver in Lake Ontario.
A smallmouth bass swims near a diver in Lake Ontario.
Autonomous Underwater Vehicle (AUV) in Lake Huron near Alpena preparing to dive on a transect.
Autonomous Underwater Vehicle (AUV) in Lake Huron near Alpena preparing to dive on a transect.
Publications by this scientist
Paired comparisons with quiet surface drones show evidence of fish behavioral response to motorized vessels during acoustic surveys in Lake Superior
Predicting Lake Huron Dreissena spp. spatial distribution patterns from environmental characteristics
Zebra and Quagga mussels in the United States—Dreissenid mussel research by the U.S. Geological Survey
Classification of lakebed geologic substrate in autonomously collected benthic imagery using machine learning
Gap analysis: A proposed methodology to describe and map historical and contemporary populations and habitats
Development of an integrated survey design to assess invasive round goby abundance and distribution across gradients in substrate and depth
Using multiscale environmental and spatial analyses to understand natural and anthropogenic influence on fish communities in four Canadian rivers
Status and trends of the Lake Huron prey fish community, 1976-2022
Model-based assessment and mapping of total phosphorus enrichment in rivers with sparse reference data
Status and trends of the Lake Huron prey fish community, 1976-2021
Great Lakes spatial priorities study
Status and trends of the Lake Huron prey fish community, 1976-2019
FishScale
News about this scientist
Science and Products
Science pages by this scientist
Use of Advanced Technologies to Improve Fisheries Assessments on Lake Superior
Development and application of a robot-assisted computer vision system to map Great Lakes bottom habitats and biology
Data releases by this scientist
High-resolution bathymetry and backscatter data collected at eighteen spawning reefs in NE Lake Michigan using a Norbit iWBMSh multibeam echosounder, 2021-2023 (UTM Zone 16N, NAD 83, NAVD 88)
Down-looking Images of Lake Trout (Salvelinus namaycush) and Round Goby (Neogobius melanostomus) to Support Automated Biomass Estimation
Hydroacoustic data from uncrewed surface vehicle (USV) overtakes in Lake Superior, 2022
Down-looking camera images of round goby (Neogobius melanostomus) within constructed sand and cobble habitats in laboratory microcosms Nov. 2021 – Jan. 2022
Autonomously Collected Benthic Imagery for Substrate Prediction, Lake Michigan 2020-2021
Lakebed features extracted from single-beam sonar in two Laurentian Great Lakes
Hydroacoustic data from uncrewed surface vehicle (USV) overtakes in Lakes Huron and Michigan, 2021
High-resolution bathymetry and backscatter data collected near the Stamp Sands of Lake Superior in 2021
Habitat and fish assemblages along four river mainstems in Ontario, Canada, 1997 to 2001, with supporting spatial data
Bee-Gap: Ecology, Life-History, and Distribution of Bee Species in the United States 2017
Multimedia related to this scientist
A multi-beam sonar image captured by Great Lakes Science Center researchers in June 2022.
A multi-beam sonar image captured by Great Lakes Science Center researchers in June 2022.
Long-range autonomous underwater vehicle 'Tethys' upon retrieval after a 400 km mission in Lake Michigan to collect the environmental DNA (bits of DNA drifting in the environment) of pelagic prey fish through a partnership between the USGS Great Lakes Science Center and the Monterrey Bay Aquarium Research Institute. Photo Credit: Peter Esselman, USGS.
Long-range autonomous underwater vehicle 'Tethys' upon retrieval after a 400 km mission in Lake Michigan to collect the environmental DNA (bits of DNA drifting in the environment) of pelagic prey fish through a partnership between the USGS Great Lakes Science Center and the Monterrey Bay Aquarium Research Institute. Photo Credit: Peter Esselman, USGS.
After a day of deploying an autonomous underwater vehicle along the shore of Lake Michigan, the field team encountered dark skies while returning to port in Grand Haven, Michigan.
After a day of deploying an autonomous underwater vehicle along the shore of Lake Michigan, the field team encountered dark skies while returning to port in Grand Haven, Michigan.
This SCUBA diver is using a camera integrated with a scooter running a circular transect. The white line attached to the scooter is also attached to a pivot point at the center of the sample area.
This SCUBA diver is using a camera integrated with a scooter running a circular transect. The white line attached to the scooter is also attached to a pivot point at the center of the sample area.
The USGS along with the Monterey Bay Aquarium Research Institute (MBARI) funded a pilot study to use a long-range AUV to study limnology of Lake Michigan. The AUV is pictured here being deployed in Lake Michigan to document variation in algae productivity at a whole-lake scale and compare 3-D spatial patterns in chlorophyll a to satellite estimates.
The USGS along with the Monterey Bay Aquarium Research Institute (MBARI) funded a pilot study to use a long-range AUV to study limnology of Lake Michigan. The AUV is pictured here being deployed in Lake Michigan to document variation in algae productivity at a whole-lake scale and compare 3-D spatial patterns in chlorophyll a to satellite estimates.
A camera integrated wth a dive scooter is lowered into the water in Lake Ontario
A camera integrated wth a dive scooter is lowered into the water in Lake Ontario
A smallmouth bass swims near a diver in Lake Ontario.
A smallmouth bass swims near a diver in Lake Ontario.
Autonomous Underwater Vehicle (AUV) in Lake Huron near Alpena preparing to dive on a transect.
Autonomous Underwater Vehicle (AUV) in Lake Huron near Alpena preparing to dive on a transect.
Publications by this scientist
Paired comparisons with quiet surface drones show evidence of fish behavioral response to motorized vessels during acoustic surveys in Lake Superior
Predicting Lake Huron Dreissena spp. spatial distribution patterns from environmental characteristics
Zebra and Quagga mussels in the United States—Dreissenid mussel research by the U.S. Geological Survey
Classification of lakebed geologic substrate in autonomously collected benthic imagery using machine learning
Gap analysis: A proposed methodology to describe and map historical and contemporary populations and habitats
Development of an integrated survey design to assess invasive round goby abundance and distribution across gradients in substrate and depth
Using multiscale environmental and spatial analyses to understand natural and anthropogenic influence on fish communities in four Canadian rivers
Status and trends of the Lake Huron prey fish community, 1976-2022
Model-based assessment and mapping of total phosphorus enrichment in rivers with sparse reference data
Status and trends of the Lake Huron prey fish community, 1976-2021
Great Lakes spatial priorities study
Status and trends of the Lake Huron prey fish community, 1976-2019
FishScale
News about this scientist