FishPass Sortable Attribute Database: Phenological, morphological, physiological, and behavioural characteristics related to passage and movement of Great Lakes fishes

In-stream barriers pose threats to fishes, including habitat loss, constraints on migration, and reduced connectivity between populations. Despite many negative consequences, barriers can serve to protect native species by limiting the spread of invasive species. For example, in the Laurentian Great Lakes, physical barriers have long been used to control invasive Sea Lamprey (Petromyzon marinus) populations by limiting access to potential upstream spawning and rearing habitat. Selective fish passage systems could solve this connectivity conundrum but must efficiently pass multiple native or desirable species while blocking invasive species. Designing such fish passage systems requires an understanding of the phenology, morphology, physiology, and behaviour (attribute dimensions) of fishes in the community. Here, we describe the first comprehensive collection of sortable attributes associated with fish passage. The integrated database consists of 21 biological attributes that influence t..., , , General information:

1. Title of dataset: FishPass Sortable Attribute Database (FSAD): A database of morphological, phenological, physiological, and behavioural traits related to passage and movement of freshwater fishes of the Great Lakes
2. Author information:

a. Corresponding investigator information
Name: David Benoit
Institution: Great Lakes Fishery Commission & University of Toronto
Email: [e-mail]

b. Co-investigator information
Name: Dan Zielinski
Institution: Great Lakes Fishery Commission
Email: [e-mail]

c. Co-investigator information
Name: Reid Swanson
Institution: Great Lakes Fishery Commission
Email: [e-mail]

d. Co-investigator information
Name: Andrew Muir
Institution: Great Lakes Fishery Commission
Email: [e-mail]
3. Date of data collection: 2022
4. Geographic span of data collection: The Laurentian Great Lakes
5. Information about funding sources: Funding fo...