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Direct and Indirect Estimates of Natural Mortality for Chesapeake Bay Blue Crab
Author(s) -
Hewitt David A.,
Lambert Debra M.,
Hoenig John M.,
Lipcius Romuald N.,
Bunnell David B.,
Miller Thomas J.
Publication year - 2007
Publication title -
transactions of the american fisheries society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.696
H-Index - 86
eISSN - 1548-8659
pISSN - 0002-8487
DOI - 10.1577/t06-078.1
Subject(s) - callinectes , chesapeake bay , stock assessment , bay , fishery , stock (firearms) , range (aeronautics) , population , mark and recapture , biology , environmental science , statistics , geography , estuary , demography , mathematics , crustacean , fishing , materials science , archaeology , sociology , composite material
Analyses of the population dynamics of blue crab Callinectes sapidus have been complicated by a lack of estimates of the instantaneous natural mortality rate ( M ). We developed the first direct estimates of M for this species by solving Baranov's catch equation for M given estimates of annual survival rate and exploitation rate. Annual survival rates were estimated from a tagging study on adult female blue crabs in Chesapeake Bay, and female‐specific exploitation rates for the same stock were estimated by comparing commercial catches with abundances estimated from a dredge survey. We also used eight published methods based on life history parameters to calculate indirect estimates of M for blue crab. Direct estimates of M for adult females in Chesapeake Bay for the years 2002–2004 ranged from 0.42 to 0.87 per year and averaged 0.71 per year. Indirect estimates of M varied considerably depending on life history parameter inputs and the method used. All eight methods yielded values for M between 0.99 and 1.08 per year, and six of the eight methods yielded values between 0.82 and 1.35 per year. Our results indicate that natural mortality of blue crab is higher than previously believed, and we consider M values between 0.7 and 1.1 per year to be reasonable for the exploitable stock in Chesapeake Bay. Remaining uncertainty about M makes it necessary to evaluate a range of estimates in assessment models.