Input os datas in FLR

[luizaprestes]

Hello, my name is Luiza Prestes, I would like to use the routine FLR in the R to analyze the effectiveness of management measures adopted for fishing of piramutaba (B. vaillanti) at the mouth of the Amazon River for approximately 35 years. The data available to you are for disembarkation, however, are size classes and centimeters and number of copies per size class for the years 1978, 1979, 1980, 1982, 1983, 1984, 1985, 1993, 1994, 1995, 1996 , 1997, 2008, 2009, 2010, 2011. Is it possible to use this data entry and analyze the MSE?

thanks

[iagomosqueira]

I am afraid it is not clear to me what is it you are trying to do. There are some methods in FLR that deal with length data, to convert it to age data so that the usual age-based population models can be run, see for example the tutorial on growth modelling using FLa4a

[luizaprestes]

Hello Iago, I'm happy with your answer, I understood your point of view about my data and reading the routines I understood that I can work with lengths, and it's better for me than turning the data to age. I am a doctoral student in Brazil, so I am working with about 10 years of landings of piramutaba (*B. vaillanti*) at the mouth of the Amazon river, I intend to test the effectiveness of the implementation of the policy. Studying about FLR routines that I discovered the MSE routine, but I have a lot of difficulty with these calculations. I managed to evolve a bit by transforming mine to FLquant and managed to get the data transformation into FLStock, even though I think there is something wrong with FLStock. What do you suggest me? Can you help me? thanks 2017-10-05 11:23 GMT-03:00 Iago Mosqueira <notifications@github.com>:

…

I am afraid it is not clear to me what is it you are trying to do. There are some methods in FLR that deal with length data, to convert it to age data so that the usual age-based population models can be run, see for example the tutorial on growth modelling using FLa4a <http://www.flr-project.org/doc/Modelling_growth_and_its_uncertainty_in_FLa4a.html> — You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub <#7 (comment)>, or mute the thread <https://github.com/notifications/unsubscribe-auth/Ae-zd_jSV7zMqxKci04D5-B2V9-ujNU7ks5spOZHgaJpZM4PsHCU> .

-- Luiza Prestes Engenheira de Pesca pela Universidade Federal do Amazonas - UFAM Mestre Biologia de Água Doce e Pesca Interior-BADPI/INPA Doutoranda no Programa de Pós-graduação em Ecologia Aquática e Pesca - PPGEAP/UFPA Docente no curso de Engenharia de Pesca da Universidade Estadual do Amapá - UEAP 55 (096) 99178-7283 Amapá Skype: luiza_prestes

[iagomosqueira]

Hi,

You can work with lengths, it all depends on what you want to do. when it comes to MSE, you need a population model, and most of them are age-based. The forecasting software in FLR is definitely age-based.

What do you think is wrong in FLStock?

We would need to see more clearly what you are trying to do before we can say if any tool in FLR is good for you. Is catch-at-length your only data? How much is known about the species' biology? what kind of regulation are you trying to test?

[luizaprestes]

Hi Iago, Thanks for the answer and the interesting about my problems with analyses. So the species I am working on (B. valinatii) piramutaba is captured by industrial fishing, in which case we have a lot of data from it, actually my PhD advisor has been working with this species since his doctorate in 1980-1990. Then we have age data generated from frequency-length and ring-reading. I believe he also has available breeding data for this species, which are long-distance migrators and reproduce in the ANDES, that is, outside Brazil in countries such as Colombia, Venezuela and Bolivia, at the source of the Amazon River. For my doctorate, I only have the fishing landing data of this species available to me, and I wanted to analyze the estimates of fishing mortality and whether or not this changes the regulatory processes that have been established. This fishery has been monitored since the end of the 60s, with the restriction of areas of activity of the industrial fleet in 1974/1976. Subsequently, the restriction was concentrated on the recovery of the stock with limit of boat quotas (1976 - 48 vessels, 1978 - 56, 1983 - 66), size smaller than 100 mm (one hundred millimeters) bag tunnel, between opposing nodes, stretched mesh 1983) and restriction of the fishing season was imposed in 2004 to protect the most vulnerable juvenile fish by trawlers in the second half of the year. Finally, in 2006 the National Program for Tracking Fishing Vessels by Satellite (PREPS) was started to avoid fishing in a prohibited area. But none of the effectiveness of these implementations was ever analyzed, and so when I started looking at how to analyze the effectiveness of regulatory processes, I found this MSE method, and I ended up finding the FLR. I can use data of age and capture, if you ask my advisor, or transforming my data of length since I have estimates of k and Linf already established by other studies already performed. What I think is wrong with FLstock is that when I generate it from FLquant data most of the data is zeroed, because I do not have this data available to insert into the file. My doctoral advisor has, but I do not know if I would be available because my proposal does not include all the data that he has and he can see it as a job that is getting out of focus. I believe that I will end up analyzing the effectiveness only by discussing and not using MSE, however, I believe that we can evolve to work in the future for this fishery for piramutaba (B. vailantii). What do you say? Best regards, <http://www.avg.com/email-signature?utm_medium=email&utm_source=link&utm_campaign=sig-email&utm_content=webmail> Livre de vírus. www.avg.com <http://www.avg.com/email-signature?utm_medium=email&utm_source=link&utm_campaign=sig-email&utm_content=webmail>. <#DAB4FAD8-2DD7-40BB-A1B8-4E2AA1F9FDF2> 2017-11-06 6:05 GMT-03:00 Iago Mosqueira <notifications@github.com>:

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Hi, You can work with lengths, it all depends on what you want to do. when it comes to MSE, you need a population model, and most of them are age-based. The forecasting software in FLR is definitely age-based. What do you think is wrong in FLStock? We would need to see more clearly what you are trying to do before we can say if any tool in FLR is good for you. Is catch-at-length your only data? How much is known about the species' biology? what kind of regulation are you trying to test? — You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub <#7 (comment)>, or mute the thread <https://github.com/notifications/unsubscribe-auth/Ae-zd3W0p4qHbeAlgp8YZ1diBO9kwhyTks5szsu-gaJpZM4PsHCU> .

-- Luiza Prestes Engenheira de Pesca pela Universidade Federal do Amazonas - UFAM Mestre Biologia de Água Doce e Pesca Interior-BADPI/INPA Doutoranda no Programa de Pós-graduação em Ecologia Aquática e Pesca - PPGEAP/UFPA Docente no curso de Engenharia de Pesca da Universidade Estadual do Amapá - UEAP 55 (096) 99178-7283 Amapá Skype: luiza_prestes

[iagomosqueira]

Could you please email me at iago.mosqueira AT ec.europa.eu?