6 resultados para Burroughs D-machine (Computer)
em Aquatic Commons
Resumo:
Computer programs were developed to calculate the parameters commonly used in fisheries statistics: catch per unit effort, catch by species, size distribution, etc. These parameters were computed for collective fishing, purse seine and beach seine; important aspects of the artisanal fisheries in the Ebrié Lagoon.
Resumo:
A computer program has been written in order to generate a population of fishes following a Von Bertalanffy growth curve with a random Gaussian variability for birth dates and growth parameters K and L ∞. Standard deviations for these 3 parameters are chosen separately for each run. Fishing and natural mortalities are applied to this population. Using as an input parameters usually taken for yellowfin in the eastern Atlantic, the simulation suggests a standard deviation between 1 and 2 months for the birth dates in this population. It also indicates that increasing levels of fishing mortalities must produce a better agreement between age and length for the larger fish.
Resumo:
The author reports on a simplified computer programme which allows the computation of only those fishery statistical data which are directly useful, particularly for the problem related with studies on sardine stocks.
Resumo:
Evolution of catch and catch by unit effort of the sardine fishing boats (purse seiners) has been examined from 1966 to 1975. The effort data has been calculated with a new computer programme: Crosardi (Soisson et Barbe, 1974). The analysis has been done on the whole stock and in more detail on the east and west stocks of Côte d'Ivoire. The Sardinella eba stock has been analysed separately. Those analyses were done using the general production model (Prodfit; Fox, 1974). The stock of the eastern area of the Côte d'Ivoire seems to be exploited at its maximum level. Nevertheless, the western area stock could be able to support a progressive increase of fishing effort.
Resumo:
Assessment and management of risk is needed for sustainable use of genetically modified aquatic organisms (aquatic GMOs). A computer software package for safely conducting research with genetically modified fish and shellfish is described. By answering a series of questions about the organism and the accessible aquatic ecosystem, a researcher or oversight authority can either identify specific risks or conclude that there is a specific reason for safety of the experiment. Risk assessment protocols with examples involving transgenic coho salmon, triploid grass carp and hybrid tilapia are described. In case a specific risk is identified, the user is led to consider risk management measures, involving culture methods, facilities design and operations management, to minimize the risk. Key features of the software are its user-friendly organization; easy access to explanatory text, literature citations and glossary; and automated completion of a worksheet. Documented completion of the Performance Standards can facilitate approval of a well designed experiment by oversight authorities.
Resumo:
Testing was conducted of a computer-assisted system for matching humpback whale tail flukes photographs. Trials with a 12,000-photographs database found no differences in match success between matching by computer and matching by comparing smaller catalogs ranging in size from 200 to 400 photographs. Tests with a 24,000-photographs database showed that, on average, the first match was found after examining about 130 photographs whether the photograph quality was excellent, good, or poor. Match success did not appear to be strongly related to whether the tail flukes had especially distinctive markings or pigment patterns (recognition quality). An advantage of computer-assisted matching is the ability to compare new photographs to the entire North Pacific collection, where no bias is introduced based on expectation of resightings within or between specific areas, or based on expectation of behavioral role (e.g. matching “known” females to “known” females).