Abstract:

The data set contains simulated observations of fishing catch and effort for individually simulated commercial fishing vessels, analogous to the reef fish logbook data that commercial fishers are required to submit to the National Marine Fisheries Service. A reference to the simulation model used to develop this data and its mathematical structure can be found here: Saul, Steven, Elizabeth N. Brooks, and David Die. 2020. How fisher behavior affects stock assessment: insights from an agent-based modeling approach. Canadian Journal of Fisheries and Aquatic Sciences 77(11): 1749-1757. DOI:10.1139/cjfas-2019-0025. This dataset is one of a suite of eight for which statistical methods and machine learning algorithms were used to simulate various measures of fish population health, including abundance surveys, mortality estimates, and fisheries catch and effort reports. Related datasets are R5.x289.000:0002 (doi:10.7266/n7-scsn-ws67, simulated population size and age data); R5.x289.000:0003 (doi:10.7266/n7-bvvg-rz27, simulated life history characteristics of sample fish caught by a simulated commercial fisher); R5.x289.000:0005 (doi:10.7266/n7-0v4e-v691, spatial distribution of simulated oil-induced mortality in Gulf reef fish species); R5.x289.000:0006 (doi:10.7266/n7-gtwq-5y46, simulated fishing effort by handline and longline commercial vessels); R5.x289.000:0007 (doi:10.7266/n7-qf7p-gt16, spatial distribution of simulated annual catch of Gulf reef fish species); R5.x289.000:0008 (doi:10.7266/n7-1cb3-8j47, simulated annual reported Gulf reef fish species abundance and biomass); and R5.x289.000:0009 (doi:10.7266/7XFDXRD9, Gulf reef fish abundance statistically modeled using video survey methods).

Suggested Citation:

Saul, Steven. 2021. Simulated example of logbook data from simulation model of commercial fishing fleets. Distributed by: GRIIDC, Harte Research Institute, Texas A&M University–Corpus Christi. doi:10.7266/n7-nwff-ap81

Purpose:

Fisheries simulation study output catch data. Simulation model dynamics ran for 10 years before simulating the impact of the oil spill in year 11 and the subsequent 7 years following that.

Data Parameters and Units:

Data column headers mean the following: Schedule = unique trip identifier in the simulation VesID = the unique vessel identifier in the simulation EndDay = the simulation day that the trip ended StartDay = the simulation day that the trip started Away = the total number of days for that fishing trip Area = the location fished as corresponding to the National Marine Fisheries Service Gulf of Mexico Statistical Grids (see figure one in this document: https://www.ecologyandsociety.org/vol4/iss1/art15/) lbsRG = pounds of red grouper caught that trip lbsGG = pounds of gag grouper caught that trip lbsMS = pounds of mutton snapper caught that trip lbsVS = pounds of vermilion snapper caught that trip lbsGT = pounds of gray triggerfish caught that trip lbsYG = pounds of yellowedge grouper caught that trip lbsTF = pounds of tilefish caught that trip lbsOther = pounds of other species caught that trip FishholdCapacity = the total pounds of fish that the fishing boat could hold lbsRG_discardDead = the pounds of red grouper discarded dead lbsGG_discardDead = the pounds of gag grouper discarded dead lbsRS_discardDead = the pounds of red snapper discarded dead lbsMS_discardDead = the pounds of mutton snapper discarded dead lbsVS_discardDead = the pounds of vermilion snapper discarded dead lbsGT_discardDead = the pounds of gray triggerfish discarded dead lbsYG_discardDead = the pounds of yellowedge grouper discarded dead lbsTF_discardDead = the pounds of tilefish discarded dead FishingGear = the gear used on that trip where HL means handline and LL means longline

Methods:

A reference to the simulation model used to develop this data and its mathematical structure can be found here- Saul et al. 2020.

Provenance and Historical References:

Saul, Steven, Elizabeth N. Brooks, and David Die. 2020. How fisher behavior affects stock assessment: insights from an agent-based modeling approach. Canadian Journal of Fisheries and Aquatic Sciences 77(11): 1749-1757. DOI:10.1139/cjfas-2019-0025.

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