Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Geoff M. Laslett"'
Publikováno v:
Fish and Fisheries. 11:133-148
Mark-recapture experiments have the potential to provide direct estimates of fundamental parameters required for fishery stock assessment and provision of subsequent management advice in fisheries. The literature on mark-recapture experiments is enor
Publikováno v:
Geoderma. 154:138-152
There is a need for accurate, quantitative soil information for natural resource planning and management. This information shapes the way decisions are made as to how soil resources are assessed and managed. This paper proposes a novel method for who
Publikováno v:
Canadian Journal of Fisheries and Aquatic Sciences. 64:602-617
The underlying sources of growth variability in a population cannot generally be known, so when modelling growth it is important to understand the consequences of assuming an incorrect error structure. In this study, four error models for a von Berta
Autor:
Peter J. Fuller, Jane McNeilage, Beatrice Susil, P. Mamers, A. C. Trajstman, Maria Alexiadis, Tom Jobling, Geoff M. Laslett
Publikováno v:
International Journal of Gynecologic Cancer. 17:398-406
Sarcomatous transformation of a granulosa cell tumor (GCT) is a rare event. We describe the development of a rapidly progressive sarcomatous change in a woman who had initially presented with a classical GCT. A first recurrence occurred 23 months aft
Publikováno v:
Canadian Journal of Fisheries and Aquatic Sciences. 63:534-548
A comprehensive framework for modelling data from multiyear tagging experiments in a fishery context is presented that incorporates catch data into the traditional Brownie tagrecapture model. Incorporation of catch data not only allows for improved
Publikováno v:
Australian New Zealand Journal of Statistics. 46:59-66
Publikováno v:
Canadian Journal of Fisheries and Aquatic Sciences. 61:292-306
A maximum likelihood method for modelling fish growth is presented that integrates data from three key sources of growth information: tagrecapture studies, lengthfrequency samples from commercial catches, and direct aging data from hard-parts ana
Increase in growth rates of southern bluefin tuna (Thunnus maccoyii) over four decades: 1960 to 2000
Publikováno v:
Canadian Journal of Fisheries and Aquatic Sciences. 61:307-322
Estimates of long-term temporal trends and variability in growth are often not available for many commercially exploited fish stocks. An integrated estimation framework that combines growth information from tagging studies, direct age estimates from
Publikováno v:
ICES Journal of Marine Science. 61:218-230
A novel two-stage procedure for fitting growth curves to length frequency data collected from commercial fisheries is described. The method is suitable for species in which cohorts are spawned over a limited time period, and samples of length frequen
Publikováno v:
Canadian Journal of Fisheries and Aquatic Sciences. 59:976-986
We describe a novel maximum likelihood method for fitting general growth curves to tagrecapture data. The growth model allows for the asymptotic length and the time to tagging to vary from individual to individual, with other parameters being fixed