Cooperative development of dynamic habitat models informed by the Integrated Ocean Observing System (IOOS) informs fisheries management decision making in the coastal ocean.

Josh Kohut, Laura Palamara, Enrique Curchitser, John Manderson, Greg Didomenico

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Defining pelagic habitat indicators for migratory fish is particularly interesting and challenging due to the complex interaction between the marine food web and the physical variability. Through a multidisciplinary study, a group of experts in marine ecology, physical oceanography and stock assessment from the fishing industry, government and academia developed a method to explicitly account for shifting habitat distributions in fish population assessments. The study group initially developed a thermal niche model for an important short-lived pelagic forage fish, Atlantic Butterfish (Peprilus traicanthus) in the Northwest Atlantic Ocean. This niche model was coupled to a hindcast of daily bottom water temperature derived from a de-biased regional numerical ocean model (ROMS) in order to project thermal habitat suitability in the Northwest Atlantic on a daily basis over the last 40 years. The hindcast of thermal habitat suitability was used to estimate the proportion of thermal habitat suitability available on the Northeast US continental shelf that was sampled on fishery-independent surveys conducted during the spring and fall. We were able to create 40 years of daily maps of predicted butterfish thermal habitat suitability. This time series of Habitat Suitability was then used to determine a time dependent availability, or stock range, based on butterfish thermal niche space. The time dependent availability was then provided to the stock assessment scientists for inclusion in the model.

Original languageEnglish (US)
Title of host publicationOCEANS 2015 - MTS/IEEE Washington
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9780933957435
DOIs
StatePublished - Feb 8 2016
EventMTS/IEEE Washington, OCEANS 2015 - Washington, United States
Duration: Oct 19 2015Oct 22 2015

Publication series

NameOCEANS 2015 - MTS/IEEE Washington

Other

OtherMTS/IEEE Washington, OCEANS 2015
Country/TerritoryUnited States
CityWashington
Period10/19/1510/22/15

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Oceanography
  • Ocean Engineering
  • Instrumentation
  • Acoustics and Ultrasonics

Keywords

  • Fisheries
  • Habitat Models
  • Ocean Observing

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