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Publications

Welcome to the Great Lakes Science Center's Publications page.

Filter Total Items: 2779

Decreased water transparency of nearshore Laurentian Great Lakes habitats is driven by increased dissolved organic carbon. Decreased water transparency of nearshore Laurentian Great Lakes habitats is driven by increased dissolved organic carbon.

Little is understood of lake browning (due to increased dissolved organic carbon; DOC) in large lakes such as the Laurentian Great Lakes. Lake browning can alter whole lake ecosystems, including decreasing exposure to damaging ultraviolet radiation (UV-B) which is strongly and selectively attenuated by DOC more so than photosynthetically active radiation (PAR). We compared the changes in...
Authors
Nicole Lynn Berry, David B. Bunnell, Thomas J. Fisher, Erin P. Overholt, Elizabeth M. Mette, Todd Howell, Craig E. Williamson

Single receiver target localization in mobile marine acoustic telemetry Single receiver target localization in mobile marine acoustic telemetry

Many marine ecological studies track animal movement and migration using acoustic telemetry, in which animals are implanted with acoustic transmitters broadcasting a unique ID code. Receivers detect and decode these transmissions and provide an estimate of the animal’s location. As transmissions can be detected at distances of hundreds of meters to even several kilometers, localization...
Authors
Eric M. Gaskell, Tyler Reid Funnell, Christopher M. Holbrook, Darryl W. Hondorp, Xiaobo Tan

Multi-year cut-to-drown management limits Phragmites australis growth, belowground resources, and rhizome viability in Great Lakes wetlands Multi-year cut-to-drown management limits Phragmites australis growth, belowground resources, and rhizome viability in Great Lakes wetlands

The distribution and abundance of Phragmites in the Great Lakes coastal zone has expanded in part due to its unique ventilation physiology and its ability to take advantage of changes in lake levels over the past several decades. During an extended period of low lake levels in the early 2000s, Phragmites expanded into vast shallow water areas as lake bottoms were exposed. Many of those...
Authors
Wesley A. Bickford, Kaira A. Schaefer, Spenser L. Widin, Kurt P. Kowalski

Reconstructing Great Lakes air temperature and ice dynamics data back to 1897 Reconstructing Great Lakes air temperature and ice dynamics data back to 1897

Ice cover on the Great Lakes plays an important role in regional climate, supports tourism and recreation, and provides ecological habitat. As the climate warms, ice cover in the Great Lakes is expected to decline, which in turn will create more lake effect precipitation, reduce ice cover for recreation, and alter habitat for aquatic species. While it is important to understand the...
Authors
Katelyn King, Ayumi Fujisaki-Manome, Cory O. Brant, Danielle Cohn, Inigo Peng, Karen M. Alofs

Bird predation obscures detection of acoustic telemetry tags in fish Bird predation obscures detection of acoustic telemetry tags in fish

Increasing application of acoustic telemetry for determining survival, migration and habitat use of fishes highlights the need to improve interpretation of tracks that end abruptly: when is fishing mortality, predation, or some other cause to be inferred? Significant technological advances have led to the development of tags that “sense” predation and can be used to infer information...
Authors
Richard Kraus, James J. Roberts, Mark Richard Dufour, Branden E. Kohler

Larval fish export in response to altered discharge in the St. Marys river rapids Larval fish export in response to altered discharge in the St. Marys river rapids

The St. Marys River (SMR) forms the border between Michigan, USA, and Ontario, Canada, connecting lakes Superior and Huron. Discharge is controlled by a 16-gate water control structure upstream of the SMR rapids. The SMR rapids are a critical spawning habitat in the Great Lakes, yet the influence of regulated discharge on larval fish export remains poorly understood. From 2018 to 2021...
Authors
Signe F.K. VanDrunen, Mark Richard Dufour, Edward Roseman, Robin L. DeBruyne, Ashley H. Moerke, Hal Harrington, Timothy J. Calappi, Kevin N. McDonnell, Brandon S. Gerig

Day versus night relations between larval lake whitefish, cisco, and zooplankton onshore in Lakes Michigan, Huron, and Superior Day versus night relations between larval lake whitefish, cisco, and zooplankton onshore in Lakes Michigan, Huron, and Superior

Lake whitefish (Coregonus clupeaformis) populations in the upper Great Lakes have undergone declines in the past two decades, particularly in Lakes Michigan and Huron. However, cisco (Coregonus artedi) are recovering in parts of the Great Lakes. Population declines are hypothesized to be due, in part, to reduced zooplankton prey in areas that serve as critical habitat for larval...
Authors
Simon D.D. Freemon, Jason B. Smith, Amanda Susanne Ackiss, Katie Victoria Anweiler, Halle N. Freeman, Chris R. Hessell, Jory Jonas, Chad J. LaFaver, Erik J. Olsen, Jonathan P. Doubek

Environmental DNA metabarcoding for monitoring fish biodiversity in remote lakes Environmental DNA metabarcoding for monitoring fish biodiversity in remote lakes

Objective Environmental DNA (eDNA) metabarcoding provides an attractive option for monitoring biodiversity in remote freshwater ecosystems, where the deployment of conventional gears encounters major logistical constraints. We evaluated eDNA metabarcoding for monitoring fish communities and early detection of nonnative species in three remote lakes on Isle Royale, Michigan, USA. Methods...
Authors
Nicholas J. Iacaruso, Jared Thomas Myers, Michael J. Seider, Mark A. Davis

Improved ground-truthing and benthic habitat characterization with machine learning models and 3D photogrammetry Improved ground-truthing and benthic habitat characterization with machine learning models and 3D photogrammetry

Benthic mapping relies on a range of methods to ground truth remotely sensed data to map physical and biotic features. Traditional methods are labor-intensive and time-consuming with limited scalability. Autonomous underwater vehicles (AUVs) and remote operated vehicles (ROVs) can collect high volumes of quality data but require automated processing routines and pose other logistic...
Authors
Phillipe Wernette, Peter C. Esselman, Anthony J. Geglio, Angus Galloway, Shadi Moradi, Jordan Pierce

Assessing fish growth changes under an ecosystem regime shift: The approach of linear mixed-effects modeling with application to Lake Huron lake trout Assessing fish growth changes under an ecosystem regime shift: The approach of linear mixed-effects modeling with application to Lake Huron lake trout

Linear mixed-effects modeling has been used to characterize fish growth changes over time, but early studies did not fully consider the implicit relationship among the three major factors of fish age, year-class, and sampling year in model development. Our objective is to resolve this issue and develop a linear mixed-effects model to clearly assess how lake trout (Salvelinus namaycush)...
Authors
Ji X. He, Charles P. Madenjian

Drowned river mouth lakes are winter foraging habitats for the expanding Lake Michigan cisco Coregonus artedi population Drowned river mouth lakes are winter foraging habitats for the expanding Lake Michigan cisco Coregonus artedi population

Characterizing fish movements is required for understanding habitat use, energy flow, and trophic structure and can inform fisheries management. Drowned river mouth (DRM) lakes are productive inland habitats in the Laurentian Great Lakes basin used by migratory fishes. Despite recognition of their ecological connections to the Great Lakes, the value of DRM lakes as seasonal habitats is...
Authors
Ralph W. Tingley, Darryl W. Hondorp, Benjamin A. Turschak, Steven A. Pothoven, Amanda Susanne Ackiss, Jory Jonas, William W. Fetzer, Benjamin Scott Leonhardt, Andrew Edgar Honsey, Jeff Elliott, Lindsie Ann Egedy, Cory O. Brant, Lynn Benes, Kendra Kozlauskos, Renee Renauer-Bova, Ann J. Ropp

MIMAR-Net: Multiscale Inception-based Manhattan Attention Residual Network and its application to underwater image super-resolution MIMAR-Net: Multiscale Inception-based Manhattan Attention Residual Network and its application to underwater image super-resolution

In recent years, Single-Image Super-Resolution (SISR) has gained significant attention in the geoscience and remote sensing community for its potential to improve the resolution of low-quality underwater imagery. This paper introduces MIMAR-Net ( Multiscale Inception-based Manhattan Attention Residual Network), a new deep learning architecture designed to increase the spatial resolution...
Authors
Nusrat Zahan, Sidike Paheding, Ashraf Saleem, Timothy C. Havens, Peter C. Esselman
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