Spatial variability in growth and mortality of the red sea urchin, Strongylocentrotus franciscanus, in northern California

2000 ◽  
Vol 57 (5) ◽  
pp. 980-992 ◽  
Author(s):  
Lance E Morgan ◽  
Louis W Botsford ◽  
Stephen R Wing ◽  
Barry D Smith

Natural and fishing mortality rates of the red sea urchin, Strongylocentrotus franciscanus, in northern California were estimated from growth increment and size distribution data under the assumption of a constant recruitment rate. Mean asymptotic test diameter, standard deviation of asymptotic test diameter, growth rate coefficient, and natural mortality rate were first estimated for three nominally unharvested sites, Bodega Marine Reserve, Caspar Closure, and Salt Point. These estimated growth and mortality parameters differed among sites, leading to substantially different yield-per-recruit surfaces. Estimates of fishing mortality rate from size distributions collected at 11 harvested sites were then calculated based on the growth and natural mortality estimates obtained from the Caspar Closure and Bodega Marine Reserve sites. Estimates of fishing mortality rate ranged from 0.11 to 1.87·year-1. The alongshore pattern of fishing mortality rate was moderately correlated with landings and effort, but the spatial pattern of rare, strong recruitment events also appeared to influence values of fishing mortality rate. The positive bias in estimates of fishing mortality rate due to recruitment variability indicated that our observed pattern in estimated values for fishing mortality rate could have been caused by the historical spatial pattern of interannual variability in recruitment.




1998 ◽  
Vol 55 (5) ◽  
pp. 1236-1247 ◽  
Author(s):  
Barry D Smith ◽  
Louis W Botsford ◽  
Stephen R Wing

We present a maximum likelihood procedure for estimating population growth and mortality parameters by simultaneously analysing size frequency and growth increment data. The model uses von Bertalanffy growth with variability among individuals in the two parameters that determine growth rate, and size-dependent mortality. Analyzing growth increments together with size frequencies reduces the statistical confounding of the natural mortality rate with von Bertalanffy's K parameter. We assume steady-state (constant recruitment) conditions for the size distributions; hence the method does not depend on age modes in the distribution. We evaluate the bias and precision of estimates obtained for growth-dominated distributions typical of the red sea urchin (Strongylocentrotus franciscanus) in northern California, although the method and its evaluation could be applied as easily to mortality-dominated or bimodal distributions. The method provides good estimates with sample sizes as low as 200 individuals in a size distribution and 30 growth increments. Results are robust to random variability in recruitment, measurement error, and sampling selectivity up to the size where about one third of the distribution is affected. Estimation of the fishing mortality rate could require size distributions from both an unharvested and a harvested population. Estimates of growth and mortality rates depend critically on reliable growth data.



2004 ◽  
Vol 29 (4-5) ◽  
pp. 231-236 ◽  
Author(s):  
Mónica Hernández ◽  
Fernando Bückle ◽  
Chita Guisado ◽  
Benjamı́n Barón ◽  
Naielli Estavillo


2010 ◽  
Vol 17 (1) ◽  
pp. 163-171 ◽  
Author(s):  
KIM E. REUTER ◽  
KATIE E. LOTTERHOS ◽  
RYAN N. CRIM ◽  
CATHERINE A. THOMPSON ◽  
CHRISTOPHER D. G. HARLEY


2000 ◽  
Vol 9 (1) ◽  
pp. 83-98 ◽  
Author(s):  
Lance E. Morgan ◽  
Stephen R. Wing ◽  
Louis W. Botsford ◽  
Carolyn J. Lundquist ◽  
Jennifer M. Diehl






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