Comparing Electronic Monitoring and human observer collected fishery data in the tropical purse seine operating in the Western and Central Pacific Ocean

Electronic Monitory (EM) systems have been proven a valid tool for collecting fishery dependent data. They are being widely used in many fisheries as a complement or alternative to human observers to increase the monitoring coverage of fisheries. However, considering its wide application, following agreed minimum standard, it is important to compare the congruence between the information collected by EM and observers. We compared EM and two sets of different observer data collected on 6 trips of tuna purse seiners in the Eastern and Western and Central Pacific Ocean to analyze the similarity of fishing set type identification, estimation of tuna and bycatch catches between both monitoring systems. Overall EM was a valid tool to estimate the type of fishing set. Retained total catch of tunas by set was estimated by EM as reliable as that by both observer programs and logbook. When comparing the information by set, EM estimation of the main species, such as skipjack and bigeye and the combination of bigeye/yellowfin, was proven to be less accurate but statistically similar to the estimates made by both observers’ programs. EM tended to underestimate the retained catch of skipjack in comparison to both observers estimates and slightly overestimate bigeye and yellowfin, the overestimation being less pronounced for bigeye than for yellowfin. For bycatch species, EM is able to identify main bycatch species as observers do. However, the capability of EM to estimate the same number of bycatch items in comparison to IATTC and WCPFC observers varies greatly by species group. For sharks, which are the main bycatch issue in the FAD purse seine fishery, the overall congruence between EM and observers was high. EM and IATTC observer identified a similar overall number of individual sharks, however, WCPFC observers estimated lower number of shark individuals than the other two monitoring systems when considering all trips together.Versión del edito

Harmful Elements in Estuarine and Coastal Systems

Estuaries and coastal zones are dynamic transitional systems which provide many economic and ecological benefits to humans, but also are an ideal habitat for other organisms as well. These areas are becoming contaminated by various anthropogenic activities due to a quick economic growth and urbanization. This chapter explores the sources, chemical speciation, sediment accumulation and removal mechanisms of the harmful elements in estuarine and coastal seawaters. It also describes the effects of toxic elements on aquatic flora and fauna. Finally, the toxic element pollution of the Venice Lagoon, a transitional water body located in the northeastern part of Italy, is discussed as a case study, by presenting the procedures adopted to measure the extent of the pollution, the impacts on organisms and the restoration activities

Data for: Incorporating Observed Data into Early Design Energy Models for Life Cycle Cost and Emissions Analysis of Campus Buildings

Supplementary Building Energy Templates Include: Student Housing Building Classrooms with Labs Classrooms with Auditoriums Classrooms with DancehallsCode for Energy model and optimizationThe Python notebook file may be used to model different buildings similar to the (4) template files. Building size can be adjusted and a local weather file can be input to model different sized buildings in different locations. The Multi-Objective Optimization code can be used to define the Pareto Front using the results from the building energy model.Instructions (Python File):Download the anaconda notebookDownload the desired weather file an save it in the 'Documents' folderDownload the template files and save it in 'Documents' folderDownload the cooling tower Neural Network "Cooling_Tower_NN.h5" and sae it in the 'Documents' folderRun the code. Be sure to have all helper libraries installe

Data for: Incorporating Observed Data into Early Design Energy Models for Life Cycle Cost and Emissions Analysis of Campus Buildings

Supplementary Building Energy Templates Include: Student Housing Building Classrooms with Labs Classrooms with Auditoriums Classrooms with DancehallsCode for Energy model and optimizationThe Python notebook file may be used to model different buildings similar to the (4) template files. Building size can be adjusted and a local weather file can be input to model different sized buildings in different locations. The Multi-Objective Optimization code can be used to define the Pareto Front using the results from the building energy model.Instructions (Python File):Download the anaconda notebookDownload the desired weather file an save it in the 'Documents' folderDownload the template files and save it in 'Documents' folderDownload the cooling tower Neural Network "Cooling_Tower_NN.h5" and sae it in the 'Documents' folderRun the code. Be sure to have all helper libraries installedTHIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOV

Antigenic analysis of nematode-transmissible and non-transmissible isolates of tobacco rattle tobravirus using monoclonal antibodies

Murine monoclonal antibodies (MAbs) were produced against a nematode non-transmissible isolate of tobacco rattle tobravirus (TRV-PLB). Two of the MAbs (SCR 80 and 81) did not react with the serologically closely related isolate TRV-PPK20 (both isolates belong to the PRN serotype), which is readily transmissible by nematodes. When further isolates of the PRN serotype were tested, all the non-transmissible ones reacted with these two MAbs, but so also did some of those that are readily transmissible. SCR 80 and 81 were able to trap TRV-PLB particles onto electron microscope grids and reacted with metatopes located near the C terminus of the particle protein. The epitope recognized by SCR 81 was discontinuous. The MAbs that reacted with both TRV-PLB and TRV-PPK20 recognized either continuous cryptotopes (SCR 78) or discontinuous neotopes (SCR 79 and 82).</p

Comparing Electronic Monitoring and human observer collected fishery data in the tropical tuna purse seine operating in the Western and Central Pacific Ocean.

Electronic Monitory (EM) systems have been proven a valid tool for collecting fishery dependent data. They are being widely used in many fisheries as a complement or alternative to human observers to increase the monitoring coverage of fisheries. However, considering its wide application, following agreed minimum standard, it is important to compare the congruence between the information collected by EM and observers. We compared EM and two sets of different observer data collected on 6 trips of tuna purse seiners in the Eastern and Western and Central Pacific Ocean to analyze the similarity of fishing set type identification, estimation of tuna and bycatch catches between both monitoring systems. Overall EM was a valid tool to estimate the type of fishing set. Retained total catch of tunas by set was estimated by EM as reliable as that by both observer programs and logbook. When comparing the information by set, EM estimation of the main species, such as skipjack and bigeye and the combination of bigeye/yellowfin, was proven to be less accurate but statistically similar to the estimates made by both observers’ programs. EM tended to underestimate the retained catch of skipjack in comparison to both observers estimates and slightly overestimate bigeye and yellowfin, the overestimation being less pronounced for bigeye than for yellowfin. For bycatch species, EM is able to identify main bycatch species as observers do. However, the capability of EM to estimate the same number of bycatch items in comparison to IATTC and WCPFC observers varies greatly by species group. For sharks, which are the main bycatch issue in the FAD purse seine fishery, the overall congruence between EM and observers was high. EM and IATTC observer identified a similar overall number of individual sharks, however, WCPFC observers estimated lower number of shark individuals than the other two monitoring systems when considering all trips together