8 resultados para Android,Peer to Peer,Wifi,Mesh Network

em Aquatic Commons


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Catch and mesh selectivity of wire-meshed fish traps were tested for eleven different mesh sizes ranging from 13 X 13 mm (0.5 x 0.5") to 76 x 152 mm (3 X 6"). A total of 1,810 fish (757 kg) representing 85 species and 28 families were captured during 330 trap hauls off southeastern Florida from December 1986 to July 1988. Mesh size significantly affected catches. The 1.5" hexagonal mesh caught the most fish by number, weight, and value. Catches tended to decline as meshes got smaller or larger. Individual fish size increased with larger meshes. Laboratory mesh retention experiments showed relationships between mesh shape and size and individual retention for snapper (Lutjanidae), grouper (Serranidae), jack (Carangidae), porgy (Sparidae), and surgeonfish (Acanthuridae). These relationships may be used to predict the effect of mesh sizes on catch rates. Because mesh size and shape greatly influenced catchability, regulating mesh size may provide a useful basis for managing the commercial trap fishery.

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Results of mesh selectivity experiments on B. tor are presented in this paper. Selectivity curve on the basis of maximum girth of fish in relation to perimeter of mesh was worked out. The optimum girth/mesh perimeter ratio was found to be 1.31. A linear regression of G+0.445L=12.8 was fitted for conversion of length to girth.

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At present both the wedge gauge and the ICES mesh gauge are used to examine the mesh opening of trawl cod-ends. A thorough investigation of both instruments by an EU project (MESH) has revealed a number of deficiencies. This has lead to the conclusions to not further recommend the use of both devices but to go for the development of a complete new measurement tool. This is presently progressing in a further EU project named OMEGA. Prototypes of the new device have been produced and a number of introductory tests have already been made. This contribution reports on further laboratory tests carried out at the Institute for Fishing technology and Fish Quality with special emphasis on netting yarn diameters below 4 mm. The results demonstrate further yarn size depending inaccuracies of the wedge gauge and support the rapid introduction of the newly developed measurement instrument.

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We develop and test a method to estimate relative abundance from catch and effort data using neural networks. Most stock assessment models use time series of relative abundance as their major source of information on abundance levels. These time series of relative abundance are frequently derived from catch-per-unit-of-effort (CPUE) data, using general linearized models (GLMs). GLMs are used to attempt to remove variation in CPUE that is not related to the abundance of the population. However, GLMs are restricted in the types of relationships between the CPUE and the explanatory variables. An alternative approach is to use structural models based on scientific understanding to develop complex non-linear relationships between CPUE and the explanatory variables. Unfortunately, the scientific understanding required to develop these models may not be available. In contrast to structural models, neural networks uses the data to estimate the structure of the non-linear relationship between CPUE and the explanatory variables. Therefore neural networks may provide a better alternative when the structure of the relationship is uncertain. We use simulated data based on a habitat based-method to test the neural network approach and to compare it to the GLM approach. Cross validation and simulation tests show that the neural network performed better than nominal effort and the GLM approach. However, the improvement over GLMs is not substantial. We applied the neural network model to CPUE data for bigeye tuna (Thunnus obesus) in the Pacific Ocean.

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A survey of the River Lune using River Habitat Survey (RHS) was carried out at 103 sections in February/March 99, to which were added 37 sites surveyed between 1994 -1996. Summary statistics were produced on the distribution and extent of flow features (e.g. riffles, pools, rapids etc.), substrate types, tree and associated features and bank profiles. Information on land-use and management was also included in the analyses. A Habitat Modification Score (HMS) describing the level of habitat modification was derived for each site and compared to the whole reference network and to rivers of similar types in Britain. The HMS shows that more than 70% of the sites on the catchment are predominantly unmodified and very few sites are significantly modified. Highly modified sites are concentrated in the urban areas and on the tributaries.

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An extensive survey of the River Lune using River Habitat Survey (RHS) was commissioned to assess the habitat quality of the Lune for salmonid fish. The main river on the Lune and tributaries were divided into 500m sections. A sample of 103 sections (25% of the total classified length) was randomly selected and surveyed in February/March 99. A Habitat Modification Score (HMS) describing the level of habitat modification was derived for each site and compared to the whole reference network and to rivers of similar types in Britain. The analysis of Habitat Modification scores show that more than 70% of the sites on the catchment are predominantly unmodified and very few sites are significantly modified (less than 10% of the sites). The analyses of the data collected suggest that although river habitats are altogether of good quality, the natural processes within the catchment may reduce spawning habitats for salmonids. The river processes appear to be driven by natural forces, although land-use is likely to impact on the levels of run-off. Further analyses using fisheries data on the Lune will investigate the relationship between the major environmental dimensions and fish distribution on the catchment.

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Percent escapements of blue crabs, Callinectes sapidus, by size and sex were determined for commercially available 38.1 mm square and hexagonal meshes and for five experimental squares. Commercial trap mesh sizes retained excessive numbers of sublegal blue crabs. Based on the criteria of maximizing sublegal crab escapement without an unacceptable loss of legal blue crabs, the 44.4 mm square (as measured from the inside of adjacent corners) was optimum and superior to either trap mesh used by fishermen.

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The process of rolling out the CGIAR Research Program on Aquatic Agricultural Systems (AAS) in 12 target villages in the Tonle Sap region in Cambodia throughout 2013 involved several important tasks at different stages. This report covers one of those tasks: the Community Life Competence Process (CLCP), commonly referred to by stakeholders as "visioning". It has two main objectives: (1) to document the community visioning process, including the development of a community action plan and NGO work plan to monitor progress; and (2) to document village and network profiles of key community stakeholders at the village level.