Biological parameters of swordfish in the Indian Ocean used for stock assessment.

Slides:

Advertisements

Similar presentations

Fish Mortality & Exploitation Ratio By Asaar S. H. Elsherbeny Assistant Researcher Fish Population Dynamics Lab. Fisheries Division.

Advertisements

Sheng-Ping Wang 1,2, Mark Maunder 2, and Alexandre Aires-Da-Silva 2 1.National Taiwan Ocean University 2.Inter-American Tropical Tuna Commission.

Stock assessment of red mullet and hake in the Egyptian Mediterranean Waters Sahar Mehanna Fish Population Dynamics Lab NIOF, Egypt.

Spatial and temporal variability in Atka mackerel (Pleurogrammus monopterygius) female maturity at length and age. A component of NPRB project 0522: Reproductive.

Integrating Concepts in Biology PowerPoint Slides for Chapter 19: Emergent Properties at the Population Level by A. Malcolm Campbell, Laurie J. Heyer,

Black Sea Bass – Northern Stock Coastal-Pelagic/ASMFC Working Group Review June 15, 2010.

Orectolobiformes Rhincodontidae Jeff Guertin 10/09/07.

FMSP stock assessment tools Training Workshop LFDA Theory.

Proposal for a comprehensive assessment of key shark species SAR-8-15 Photo:

The current status of fisheries stock assessment Mark Maunder Inter-American Tropical Tuna Commission (IATTC) Center for the Advancement of Population.

Assessment of red shrimp (Aristeus antennatus) exploited by the Spanish trawl fishery: in the geographical sub-area Balearic Islands (GSA-5) and Northern.

Growth in Length and Weight Rainer Froese SS 2008.

Barents Sea fish modelling in Uncover Daniel Howell Marine Research Institute of Bergen.

Hui-Hua Lee 1, Kevin R. Piner 1, Mark N. Maunder 2 Evaluation of traditional versus conditional fitting of von Bertalanffy growth functions 1 NOAA Fisheries,

The length structure of bigeye tuna and yellowfin tuna catch at different depth layers and temperature ranges: an application to the longline fisheries.

Fishery Management Fishing is extractive – Removes choices organisms- “ fine-ing ” – Changes food web structure The human condition provides little incentive.

NOAA Fisheries Dr. Jim Berkson, Dr. Yan Jiao Paige Barlow, Bonnie Coggins, Christopher Hayes, Melissa Hedges, Eliza Heery, James Thorson Biased length.

Maximum likelihood estimates of North Pacific albacore tuna ( Thunnus alalunga ) von Bertalanffy growth parameters using conditional-age-at-length data.

Using the Slope of a Line to Estimate Fish Weight.

ASSESSMENT OF BIGEYE TUNA (THUNNUS OBESUS) IN THE EASTERN PACIFIC OCEAN January 1975 – December 2006.

SEFSC Research Progress and Objectives IAC Spring Meeting April 7-9, 2010.

Where does my data go? Preparation of files for the assessments of IOTC stocks and use of data for the assessments of IOTC species Mauritius, March.

FishBase goes FishBayes R, JAGS and Bayesian Statistics Rainer Froese FIN Seminar, 21 February 2013 Kush Hall, IRRI, Los Baños, Philippines.

Guidance for modelling the variability of length-at-age: lessons from datasets with no aging error C.V. Minte-Vera (1)*, S. Campana (2), M. Maunder (1)

Spatial issues in WCPO stock assessments (bigeye and yellowfin tuna) Simon Hoyle SPC.

Biodiversity of Fishes Summary

Report of Chinese Observer Program in the Tropical Eastern Pacific Ocean in 2006 Xiao-jie Dai, Liu-xiong Xu and Li-ming Song Shanghai Fisheries University,

Fisheries in the Seas Fish life cycles: Egg/sperm pelagic larvaejuvenile (first non-feeding – critical period – then feeding) (first non-feeding – critical.

Pierre Meke, 2009 Biological Data – Length Frequency Sampling

. Assessment of the Icelandic cod stock Björn Ævarr Steinarsson Marine Research Institute.

Billfish Fisheries In Indonesia Prepared by MAHISWARA BUDI ISKANDAR, PS. RESEARCH CENTER FOR CAPTURE FISHERIES INDONESIA.

Scombridae & Scorpaenidae1 Family Scombridae Mackerels and Tunas Common species: oKing Mackerel (Scomberomorus cavalla) oSpanish Mackerel (Scomberomorus.

Biodiversity of Fishes Growth Rainer Froese

MARFIN & Saltonstall-Kennedy, and SEFSC Projects in Puerto Rico and the Virgin Islands SEFSC Bonnie J. Ponwith, Ph.D. CFMC August, 2015.

ALADYM (Age-Length Based Dynamic Model): a stochastic simulation tool to predict population dynamics and management scenarios using fishery-independent.

The Stock Synthesis Approach Based on many of the ideas proposed in Fournier and Archibald (1982), Methot developed a stock assessment approach and computer.

Swordfish/Billfish Identification

Summary of Atlantic Swordfish Species Working Group Discussion (see also SCI -021)

Workshop on Stock Assessment Methods 7-11 November IATTC, La Jolla, CA, USA.

J. Fernando Márquez  Farías, Ph. D Raúl E. Lara  Mendoza Suitability of the use of the Bayesian approach for the estimation of growth parameters for.

Age and growth of the shortfin mako (Isurus oxyrinchus) in the south-eastern Pacific off Chile 學生：曾正豪學號： M Francisco Cerna, and Roberto Licandeo.

Flexible estimation of growth transition matrices: pdf parameters as non-linear functions of body length Richard McGarvey and John Feenstra CAPAM Workshop,

Biodiversity of Fishes: Life-History Allometries and Invariants Rainer Froese

FWCO FALL2013/SPRING2014 MMRPM Summary of Effort and Catch River Resources Action Team 2014.

Extending length-based models for data-limited fisheries into a state-space framework Merrill B. Rudd* and James T. Thorson *PhD Student, School of Aquatic.

SEDAR 42: US Gulf of Mexico Red grouper assessment Review Workshop Introduction SEFSC July , 2015.

Preliminary demographic analysis of the shortfin mako shark, Isurus oxyrinchus Mollet H. F. and Cailliet G. M.

BY-CATCH AND DISCARDS OF THE EUROPEAN PURSE SEINE TUNA FISHERY IN THE INDIAN OCEAN. CHARACTERISTICS AND ESTIMATION FOR THE PERIOD.

ASSESSMENT OF BIGEYE TUNA (THUNNUS OBESUS) IN THE EASTERN PACIFIC OCEAN January 1975 – December 2005.

Using distributions of likelihoods to diagnose parameter misspecification of integrated stock assessment models Jiangfeng Zhu * Shanghai Ocean University,

Age Length Key. Age Analysis 2 Importance Many stock parameters are annual rates. –e.g., growth & mortality (components of yield) “time” must be recorded.

A general covariate based approach for modeling the population dynamics of protected species: application to black footed albatross (Phoebastria nigripes)

Yellowfin Tuna Major Changes Catch, effort, and length-frequency data for the surface fisheries have been updated to include new data for 2005.

Bell Work Typically in Arizona When does the Bass spawning season begin?

PARTICIPANTS NCMR (Responsible Institute), IMBC [Greece] IREPA[Italy] U. Barcelona, U. Basque, UPO[Spain] EFIMAS MEETING NICOSIA CRETE 2004 APRIL

Data requirement of stock assessment. Data used in stock assessments can be classified as fishery-dependent data or fishery-independent data. Fishery-dependent.

SAMPLING TECHNIQUES N. JAYAKUMAR Assistant professor Dept. of Fisheries Biology and Resource Management Fisheries college & Research Institute, Thoothukudi-8.

Population Dynamics and Stock Assessment of Red King Crab in Bristol Bay, Alaska Jie Zheng Alaska Department of Fish and Game Juneau, Alaska, USA.

Delay-difference models. Readings Ecological Detective, p. 244–246 Hilborn and Walters Chapter 9.

Comparing external and internal dorsal- spine bands to interpret the age and growth of the giant lantern shark, Etmopterus baxteri (Squaliformes: Etmopteridae)

Fish stock assessment Prof. Dr. Sahar Mehanna National Institute of Oceanography and Fisheries Fish population Dynamics Lab November,

Pacific-Wide Assessment of Bigeye Tuna

Matthew Donaldson , and J. Read Hendon

New insights on Reproductive strategy of swordfish (Xiphias gladius)

Probability & Statistics Probability Theory Mathematical Probability Models Event Relationships Distributions of Random Variables Continuous Random.

Characteristics of mixed stock

2008 Billfish Workplan SCI-052 / 2007

Extract from the REPORT OF THE 6th MEETING OF THE CCSBT STOCK ASSESSMENT GROUP AND THE 10th MEETING OF THE SCIENTIFIC COMMITTEE Taipei, 28 Aug – 9 Sep.

CONSEQUENCES RELATED TO THE CHOICE OF BIOLOGICAL PARAMETERS

Presentation transcript:

Biological parameters of swordfish in the Indian Ocean used for stock assessment

Growth parameters Young, J., and A. Drake Age and growth of broadbill swordfish (Xiphias gladius) from Australian waters. Final report for project 2001/014, Fisheries Research Development Corporation, Canberra, Australia. 121 pp. –A preliminary investigation of age and growth of swordfish, Xiphias gladius, from Western Australian waters using anal fin rays

Growth parameters Sampling area

Growth parameters Growth parameters (von Bertalanffy) –Female: L  = 323.4; K = ; t 0 = –Male: L  = ; K = ; t 0 =

Sex ratio Young, J., and A. Drake (2004) y = 2E-10x5 - 2E-07x4 + 5E-05x x x

Length-Weight relationship Ariz. J., A. Delgado de Molina, M. L. Ramos, and J. C. Santana, Analyses of sex ratio, by length-class and length-weight relationships for several species of Family Xiphiidae (Xiphias gladius, Linnaeus 1758) and Istiophoridae (Istiophorus platypterus, Shaw 1792) and Tetrapturus angustirostris, Tanaka 1915) caught from experimental cruise on Spanish longliners in the South Western Indian Ocean during The fifth meeting of the Working Party on Billfish (WPB), Indian Ocean Tuna Commission (IOTC), March 27–31, Colombo, Sri Lanka. IOTC-WPB-06-10, 14 pp.

Length-Weight relationship Sampling area

Length-Weight relationship Parameters (W = a  L b ) –L: LJFL –Female: a = 2.413E-06, b = –Male: a = 1.351E-06, b = –Combined: a = 1.839E-06, b =

Sex ratio Ariz. J., A. Delgado de Molina, M. L. Ramos, and J. C. Santana (2006).

Sexual maturity Poisson, F., and C. Fauvel, Reproductive dynamics of swordfish (Xiphias gladius) in the southwestern Indian Ocean (Reunion Island). Part 1: oocyte development, sexual maturity and spawning. Aquat. Living Resour., 22:

Sexual maturity Sampling area

Sexual maturity %mature at length –%Mature females = 100[1/(1 + exp( − LJFL))] –%Maturemales = 100[1/(1 + exp( − LJFL))]

Sexual maturity %mature at length

Sex ratio Poisson, F., and C. Fauvel (2009). Y = −1.2×10 −11 X 6 −1.2×10 −8 X × 10 −6 X 4 − X X 2 − X + 209

Age-length key The length distribution for each age group is assumed to be normal distributed with mean and SD. Mean length and SD for each age group are estimated based on the parameters and data from Young, J., and A. Drake (2004).

Age-length key Length distribution for each age group (probability)

Age-length key Proportion that a fish with length X assigned to be a age X (age-length key)