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Improving marine disease surveillance through sea temperature monitoring, outlooks and projections

  • Jeffrey Maynard
  • , Ruben van Hooidonk
  • , C. Drew Harvell
  • , C. Mark Eakin
  • , Gang Liu
  • , Bette L. Willis
  • , Gareth Williams
  • , Maya L. Groner
  • , Andrew Dobson
  • , Scott F. Heron
  • , Robert Glenn
  • , Kathleen Reardon
  • , Jeffrey D. Shields
  • NOAA Coral Reef Watch, NESDIS Center for Satellite Applications and Research, 5830 University Research Ct., College Park, USA
  • Centre for Veterinary Epidemiological Research, Atlantic Veterinary College, University of Prince Edward Island, Charlottetown, Prince Edward Island, Canada
  • Ecology and Evolutionary Biology, Princeton University
  • Energy and Environmental Affairs, Division of Marine Fisheries, Commonwealth of Massachusetts
  • Department of Marine Resources, Maine
  • College of William and Mary, Virginia
  • NOAA Atlantic Oceanographic and Meteorological Laboratory, Miami, USA
  • Cornell University
  • Australian Research Council (ARC) Centre of Excellence for Coral Reef Studies, James Cook University, Townsville, Queensland

Allbwn ymchwil: Cyfraniad at gyfnodolynErthygladolygiad gan gymheiriaid

168 Wedi eu Llwytho i Lawr (Pure)

Crynodeb

To forecast marine disease outbreaks as oceans warm requires new environmental surveillance tools. We describe an iterative process for developing these tools that combines research, development and deployment for suitable systems. The first step is to identify candidate host–pathogen systems. The 24 candidate systems we identified include sponges, corals, oysters, crustaceans, sea stars, fishes and sea grasses (among others). To illustrate the other steps, we present a case study of epizootic shell disease (ESD) in the American lobster. Increasing prevalence of ESD is a contributing factor to lobster fishery collapse in southern New England (SNE), raising concerns that disease prevalence will increase in the northern Gulf of Maine under climate change. The lowest maximum bottom temperature associated with ESD prevalence in SNE is 12°C. Our seasonal outlook for 2015 and long-term projections show bottom temperatures greater than or equal to 12°C may occur in this and coming years in the coastal bays of Maine. The tools presented will allow managers to target efforts to monitor the effects of ESD on fishery sustainability and will be iteratively refined. The approach and case example highlight that temperature-based surveillance tools can inform research, monitoring and management of emerging and continuing marine disease threats.
Iaith wreiddiolSaesneg
CyfnodolynPhilosophical Transactions of The Royal Society B: Biological Sciences
Cyfrol371
Rhif cyhoeddi1689
Dyddiad ar-lein cynnar15 Chwef 2016
Dynodwyr Gwrthrych Digidol (DOIs)
StatwsCyhoeddwyd - 5 Maw 2016

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