4.2 Article

Failure of population recovery in relation to disease in Pacific herring

Journal

DISEASES OF AQUATIC ORGANISMS
Volume 90, Issue 1, Pages 1-14

Publisher

INTER-RESEARCH
DOI: 10.3354/dao02210

Keywords

Pacific herring; Clupea pallasii; Viral hemorrhagic septicemia virus; VHSV Type IVa; Ulcers; Ichthyophonus hoferi; Age-structured assessment model; Population-level response

Funding

  1. US National Science Foundation [9871982, 9901351]
  2. 'Exxon Valdez' Oil Spill Trustee Council through Alaska Department of Fish and Game and the US National Oceanic and Atmospheric Administration
  3. Directorate For Geosciences
  4. Division Of Ocean Sciences [9901351] Funding Source: National Science Foundation
  5. Division Of Ocean Sciences
  6. Directorate For Geosciences [9871982] Funding Source: National Science Foundation

Ask authors/readers for more resources

Following an estimated 60% decline in population abundance in early 1993, recovery of the Pacific herring Clupea pallasii population of Prince William Sound, Alaska, USA, has been impaired by disease. Comprehensive epidemiological study from 1994 through 2002 validated an age-structured assessment (ASA) model of disease and population abundance; from 2003 to 2006, the impact of disease was modeled by analyzing only 2 lesions: ulcers and white foci in the heart. The ASA model identified increased natural mortality since 1993 that can be explained by (1) epidemics associated with ulcers (prevalence about 3%) and the North American strain of viral hemorrhagic septicemia virus (VHSV Type IVa; prevalence up to 14%) in 1994 and 1998 and (2) relatively high prevalence of the mesomycetozoean Ichthyophonus hoferi from 1994 through 2006, including epidemics with the greatest sample prevalence in 2001 (38%, by histopathology) and 2005 (51%, estimated histopathology prevalence). Fourteen other parasites occurred at prevalence >10%, but none were considered significant contributors to fish mortality. We predict that if natural mortality after 1994 had returned to background levels that best fit the model from 1980 to 1992 (0.25 yr(-1)), population biomass in 2006 would have been 3 times the best estimate, despite relatively poor recruitment since 1994. In conclusion, disease information can be used to explain and predict changes in populations that have confounded traditional fisheries assessment.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.2
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available