| one publication added to basket [16385] | Using data on biomass and fishing mortality in stock production modelling of flatfish
Zhang, C.-I.; Gunderson, D.R.; Sullivan, P.J. (1991). Using data on biomass and fishing mortality in stock production modelling of flatfish. Neth. J. Sea Res. 27(3-4): 459-467
In: Netherlands Journal of Sea Research. Netherlands Institute for Sea Research (NIOZ): Groningen; Den Burg. ISSN 0077-7579; e-ISSN 1873-1406, more
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| Authors | | Top |
- Zhang, C.-I.
- Gunderson, D.R.
- Sullivan, P.J.
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| Abstract |
Stock production modelling was used to estimate population parameters such as the carrying capacity, as well as management parameters such as maximum sustainable yield (MSY), the instantaneous rate of fishing mortality at MSY (FMSY) and the sustainable biomass at MSY (BMSY). The input data were not catch and effort data, which usually require adjustments for changes in catchability, but biomass and catch (or fishing mortality), which are frequently available from cohort analysis or direct surveys. The model does not require the assumption of stock equilibrium for estimating parameters. The model was applied to data from the Alaska plaice, Pleuronectes quadrituberculatus, and yellowfin sole, Limanda aspera stocks in the eastern Bering Sea, and the Pacific halibut, Hippoglossus stenolepis, stock in the Gulf of Alaska and Bering Sea. All three stocks are characterized by separation of nursery area and exploitable population. There are at least five age groups present in nursery areas and ten or more in the exploitable stock so that recruitment levels and exploitable stock sizes are well-buffered. Predictions from the surplus production model provided reasonable fits to the biomass time series for all three stocks examined, given the sources of uncertainty in the biomass estimates available. It appears that the stock dynamics for the three species can be described by a relatively simple density-dependent model assuming instantaneous responses in stock biomass via recruitment and growth. |
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