Last edited by Nikoshakar
Friday, July 24, 2020 | History

2 edition of influence of sampling location, timing, and hatching origin on the prediction of energy density in juvenile pink salmon found in the catalog.

influence of sampling location, timing, and hatching origin on the prediction of energy density in juvenile pink salmon

C. J. Rodgveller

influence of sampling location, timing, and hatching origin on the prediction of energy density in juvenile pink salmon

by C. J. Rodgveller

  • 325 Want to read
  • 35 Currently reading

Published by U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Marine Fisheries Service, Alaska Fisheries Science Center in Seattle, Wash .
Written in English

    Subjects:
  • Pink salmon -- Alaska.,
  • Pink salmon -- Alaska -- Physiology.,
  • Bioenergetics.

  • About the Edition

    Accurate estimation of energy density of fish is important for biogenetic models. Our objectives for this study were to determine which variables could be used to predict energy density instead of estimating energy density directly with bomb calorimetry. Secondly, we examined the variability in energy density relative to the sampling location within the Gulf of Alaska, the stock of origin, and the year the fish was sampled. Juvenile pink salmon Oncorhynchus gorbuscha were collected from the Gulf of Alaska during July 2001 and 2002. Energy density (J/g of wet weight) was estimated using bomb calorimetry. Hatchery stocks were identified from otolith thermal marks, and non-thermally marked fish were assumed to be wild. Energy density differed significantly by transect (P < 0.000), year (P < 0.000) hatchery stock (P = 0.001), and the interaction of origin and transect (P = 0.018). Body size was not related to energy density. However, % dry weight (dry weight/wet weight) was related to energy density (R2 = 0.93) and thus can be used in regressions to estimate energy density. We used energy densities predicted from a regression with % dry weight in bioenergetic modeling simulations. Error associated with energy density predictions affected bioenergetic models of body growth by up to 7-8% over a 30-day period. This error increased as the water content of fish increased and as the energy density decreased. Biological factors should be considered when predicting energy densities so that errors are minimized.

    Edition Notes

    Statementby C.J. Rodgveller, J.H. Moss, and A.M. Feldmann.
    SeriesNOAA technical memorandum NMFS-AFSC -- 170.
    ContributionsMoss, J. H., Feldmann, A. M., Alaska Fisheries Science Center (U.S.), Auke Bay Laboratory (Juneau, Alaska)
    The Physical Object
    Paginationv, 27 p. :
    Number of Pages27
    ID Numbers
    Open LibraryOL17726820M


Share this book
You might also like
Hunger in the heart of God

Hunger in the heart of God

Via Crucis

Via Crucis

The Trojan women

The Trojan women

State health improvement plan

State health improvement plan

Printing and the book in fifteenth-century England

Printing and the book in fifteenth-century England

Factbook of British history

Factbook of British history

Steam over Belfast Lough

Steam over Belfast Lough

Lewis & Clark Meet the American Indians

Lewis & Clark Meet the American Indians

Did Jesus Drive a Pickup Truck

Did Jesus Drive a Pickup Truck

Nuclear reactor physics

Nuclear reactor physics

Sri Lankan legitimacy over north & east

Sri Lankan legitimacy over north & east

Open area schools

Open area schools

How (not) to speak of God

How (not) to speak of God

Ascendants and descendants of Adney Hayden Terpening

Ascendants and descendants of Adney Hayden Terpening

Influence of sampling location, timing, and hatching origin on the prediction of energy density in juvenile pink salmon by C. J. Rodgveller Download PDF EPUB FB2