SlideShare a Scribd company logo
1 of 27
Assesment of Highly Migratory
fish Stock
Presented by:
Olik Jomang
M.F.Sc 1st year
Dept. FRM
Introduction
• The term highly migratory species (HMS) has its origins in
Article 64 of the United Nations Convention on the Law of the
Sea (UNCLOS). The Convention does not provide an
operational definition of the term, but in an annexure
(UNCLOS Annexure 1) it has lists the species considered highly
migratory by parties to the Convention.
• The list includes: tuna and tuna-like species (albacore, bluefin,
bigeye tuna, skipjack, yellowfin, blackfin, little tunny, southern
bluefin and bullet), pomfret, marlin, sailfish, swordfish, saury
and ocean going sharks, dolphins and other cetaceans
• This is a legal definition rather than a scientific definition
based on the actual migratory behaviour of the species.
• Some of these species may only occur and/or be caught
within EEZs but the available global database does not allow
distinguishing between catches made on the high seas and
those made within EEZs.
• Highly migratory species are therefore discussed without
regard to stocks or occurrence within EEZs or on the high seas,
except for tunas and some tuna-like species for which more
detailed data are available
• High sea fish stock produce 10% of the world food supply.
• These high trophic level oceanodromous species undertake
migrations of significant but variable distances across oceans
for feeding, often on forage fish, or reproduction, and also
have wide geographic distributions. Thus, these species are
found both inside the 200 mile exclusive economic zones and
in the high seas outside these zones.
• Highly migratory species can be compared with straddling
stock and transboundary stock. Straddling stock range both
within an EEZ as well as in the high seas. Transboundary stock
range in the EEZs of at least two countries. A stock can be
both transboundary and straddling.
General Assumption while Classical Stock Assessment
and Migratory fish stock Assessment
• Several methods presented so far are often insufficient when
applied to migratory or schooling fish stocks.
• General assumption :We can take representative random
samples of the stock.
• Migratory Species: Horizontal or vertical migration to areas
not covered by the fleet or normal fishing gears,it is usually
not possible to sample such stocks during these periods.
• Lead to gaps in the samples ,its is also possible that the
sample taken represent different parts of the stock and in
such case it is likely that the data may misinterpreted.
The concept and study of migration
• Harden Jones (1968) :Defined migration as class of movement which impels
migrants to return home to the region from which they started migrated or a
systematic type of movement of individuals belonging to a stock.
• He recognize three type of migratory movement:
1. Drifting with currents
2. Random locomotory movemnts and
3. Oriented locomotory movement.
• Dingle (1980): Has opined that accedental or unintentional movement can not be
included in the definition of migration.
• Random movement are not considered migration in context of stock assessment
because the interest of the subject is in type of migration that create bias for a
length frequency sampling programme.
• Predictatable e.g for some stock we can predict at which time and where high
concentration can be found.
• For stock assessment purposes , the explanation of why fish migrate is of little
importance .The important thing is to know where the fish are at which time of the
year.
Bias create by migration
1. Daily vertical migration(e.g at the bottom during day and in the water
column during night)
2. Daily horizontal migration e.g skipjack tuna has been observed to move
away and return to a precise location each day(Yuen,1970)
3. Spawning migration
4. Size dependent vertical migration of adults(skipjack tuna,the younger
year classes occur in surface schools,whereas the older specimens move
to greater depths)
5. Size dependent horizontal migration (i.e larger specimens move to
deeper waters ,while
6. Migration of juvenile,they may remain in the upper layers day and night
whereas the adults are at the bottom during the day
Fig:Illustration of Potential Bias due to migration during stock
assessment
• However, numerous HMS exhibit spatial and temporal
overlap, which creates management challenges since large
quantities of non target HMS are often caught incidentally.
• The various HMS captured may not have the same intrinsic
population growth rates or carrying capacities; therefore,
their populations may not exhibit the same responses to a
given level of fishing effort.
• Since fishers often seek productive stocks, non target
species may be depleted at a rate faster than target
species, thus sustainable management of all stocks may
require a reduction of effort well below that which
maximizes yield of the target species.
Bias when migration route is not
known
• Assumption:The migration patten is not known but believed
that the entire stock is on the fishing ground all year round.
• In this case ,while doing sampling for estimation of growth
parameters ,the important data for the first half year of the
life are not available.
• Then here one may wrongly explain the absence of small fish
as overexpliotation of the stock.
• And an obvious misinterpretation can be mortality
Study of Migration route
• Tagging: The classical way to study movement of fish is a taggging
programme.
• Identification tag are attached externaly or placed in the body
cavity ,the fish is measured and released at a known spot.If
successful,may provide a lot of useful information on the net
displacements between the point of release and the point of
recapture.
• Demerit:Do not provide information on what has happened in
between those moments and points.
• Sophisticated acoustic and radio tags allow continous observations
of the movemnt of single fish as followed from a research vessel.
• Latest models of tags record the compass bearing and tilt angle of
an individual fish
• Pop-up satellite archival tags (PSATs) is an archival tag (or data
logger) that is equipped with a means to transmit the
collected data via satellite.
• Its major advantage is that it does not have to be physically
retrieved like an archival tag for the data to be available
making it a viable, fishery independent tool for animal
behavior studies.
• They have been used to track movements of ocean sunfish,
marlin, blue sharks, bluefin tuna, swordfish and sea turtles.
• The Annual-Return Matched Sample Methods
• Its is a method for the estimation of growth parameters and
mortality rates of migratory stocks.
• The method is based on the assumption that a fish stock
follows a predictable migration route.If this migration route is
known (e.g from taggings) in the time and space we are in a
position to follow the cohort and to match samples from the
same cohort.
Hyphothetical Model
Area B(summer) Area C (Autumn)
Area A (Spring) Area D(Winter)
A,B,C,D symbolize geographical area.We assume the stock to
undertake the same migration each year.
General Matched Samples Method
• This method assumes that we have knowledge or a
hypothesis of the migration route in time and space , and
therefore are able to match samples so that they originate
(or can be hypothesized to originate ) from the same
cohort.
• To illustrate the feature of the general matched samples
method for estimation of total mortalities a simple
hypothetical example was conducted.This simplified
example deals with one cohort migrating through three
area,A,B, and C .
• From A the cohort moves to B and then to C where its stays
for a while ,its moves back to B where it started in A
CA
B
Case study
• Seasonally migrating species sometimes migrate earlier in the season, the
older and bigger fish first.
• The problem is analysed in well documented studies of a stcok of North
Atlantic mackerel,Scomber scomrus.
• The size dependent migration of this stock has been demonastrated by
Darson(1986) and Eltink (1987)
• The stock lives in north and west of the United Kingdom and Ireland
• The main migration route :The stock undertake annual migration from the
“over-wintering area “ to the spawning area “ , from spawning area to
feeding area and from feeding area back to the over –wintering area
• The total distance travel:500-1000 nautical miles per year.
• Spawning: March to july
• Sampling: Monthly basis and age,length and maturity stages were
recorded.
• Scomber scombrus is a species of temperate water thus
relatively easy to read the age from the otoliths.
• The findings of Dawson (1986) and Eltink (1987) were based
on random samples caught by commercial as well as research
vessels on the spawning ground during spawning period.
• The migration from the over wintering area to
spawning was found found to be occur in an
age size succession in which the old fish arrive
before young .
• Fig 11.6.3 (from Dawson,1986) illustrates bias problems when
estimating growth parameters for a migratory stock.
• The five growth curves were each estimated by the matched
sample methods.
• The data from the beginning of the spawning period (March)
produce a curve for large slow-growing larger fish compared
to the data collected at the end of he spawning period ,which
give a sleeper curve with a smaller L infinity.
Conclusion
• In marine ecosystems, highly migratory species (HMS) are
characterized as having vast geographical distributions, with
extensive individual migrations often spanning entire oceans.
Dispersal on this scale can promote ocean-wide population
connectivity, resulting in many HMS exhibiting genetic
homogeneity.
• From a biological perspective, these species often comprise a
single unit stock within an ocean basin. Since single stocks can
be distributed throughout multinational and international
waters (as with the tunas [Family Scombridae]), sustainable
management of these harvested stocks requires cooperation
between all fishing nations
Reference
• Dawson.1986.estimation of growth parameters of highly
migratory fish stock of Scomber scomrus of United kingdom
and ireland.
• FAO .1994.World review of highly migratory species and
straddling stocks, FAO Fisheries Technical paper 337, Rome
• FAO .2002. conservation and management of shared fish
stock, FAO Fisheries Technical Paper 465,rome
• FAO.2003.Fish Stock Assessment Manual,FAO Fisheries
Technical Paper 393,Rome
• FAO .2006. The state of world highly migratory, straddling and
other high seas fishery resources and associated species, FAO
fisheries Technical Paper 495,Rome

More Related Content

What's hot

Evidence for impacts by jellyfish on north sea
Evidence for impacts by jellyfish on north seaEvidence for impacts by jellyfish on north sea
Evidence for impacts by jellyfish on north searatupura
 
CREATURES BELOW THE DEPTHS OF THE SEA
CREATURES BELOW THE DEPTHS OF THE SEACREATURES BELOW THE DEPTHS OF THE SEA
CREATURES BELOW THE DEPTHS OF THE SEAGORREDenyzeClaire
 
Bahamas Research Paper
Bahamas Research PaperBahamas Research Paper
Bahamas Research PaperPaige Barrett
 
Long-range migration in insects : Mechanisms and monitoring techniques
Long-range migration in insects : Mechanisms and monitoring techniquesLong-range migration in insects : Mechanisms and monitoring techniques
Long-range migration in insects : Mechanisms and monitoring techniquesmanjeet singh
 
morris and glasgow 2001 wb 113-202-210 AMRE
morris and glasgow 2001 wb 113-202-210 AMREmorris and glasgow 2001 wb 113-202-210 AMRE
morris and glasgow 2001 wb 113-202-210 AMREJamin Glasgow
 
Animal distribution zoogeo
Animal distribution zoogeoAnimal distribution zoogeo
Animal distribution zoogeoShahida Aziz
 
66;road mortalities of amphibians hj 22(1)_pp_51-58_ms_11-55[1]
66;road mortalities of amphibians hj 22(1)_pp_51-58_ms_11-55[1]66;road mortalities of amphibians hj 22(1)_pp_51-58_ms_11-55[1]
66;road mortalities of amphibians hj 22(1)_pp_51-58_ms_11-55[1]Roger Meek
 
DouglasFishBull2014
DouglasFishBull2014DouglasFishBull2014
DouglasFishBull2014Ver Iriarte
 
Introduction to zoogeography and types of distribution
Introduction to zoogeography and types of distributionIntroduction to zoogeography and types of distribution
Introduction to zoogeography and types of distributionMuhammad Yousaf
 

What's hot (10)

Evidence for impacts by jellyfish on north sea
Evidence for impacts by jellyfish on north seaEvidence for impacts by jellyfish on north sea
Evidence for impacts by jellyfish on north sea
 
CREATURES BELOW THE DEPTHS OF THE SEA
CREATURES BELOW THE DEPTHS OF THE SEACREATURES BELOW THE DEPTHS OF THE SEA
CREATURES BELOW THE DEPTHS OF THE SEA
 
Horn Poster
Horn PosterHorn Poster
Horn Poster
 
Bahamas Research Paper
Bahamas Research PaperBahamas Research Paper
Bahamas Research Paper
 
Long-range migration in insects : Mechanisms and monitoring techniques
Long-range migration in insects : Mechanisms and monitoring techniquesLong-range migration in insects : Mechanisms and monitoring techniques
Long-range migration in insects : Mechanisms and monitoring techniques
 
morris and glasgow 2001 wb 113-202-210 AMRE
morris and glasgow 2001 wb 113-202-210 AMREmorris and glasgow 2001 wb 113-202-210 AMRE
morris and glasgow 2001 wb 113-202-210 AMRE
 
Animal distribution zoogeo
Animal distribution zoogeoAnimal distribution zoogeo
Animal distribution zoogeo
 
66;road mortalities of amphibians hj 22(1)_pp_51-58_ms_11-55[1]
66;road mortalities of amphibians hj 22(1)_pp_51-58_ms_11-55[1]66;road mortalities of amphibians hj 22(1)_pp_51-58_ms_11-55[1]
66;road mortalities of amphibians hj 22(1)_pp_51-58_ms_11-55[1]
 
DouglasFishBull2014
DouglasFishBull2014DouglasFishBull2014
DouglasFishBull2014
 
Introduction to zoogeography and types of distribution
Introduction to zoogeography and types of distributionIntroduction to zoogeography and types of distribution
Introduction to zoogeography and types of distribution
 

Similar to Assesmnt of highly migratory stock

FAITH.WARREN.BIOASSESSMENTPAPER.4.21.14
FAITH.WARREN.BIOASSESSMENTPAPER.4.21.14FAITH.WARREN.BIOASSESSMENTPAPER.4.21.14
FAITH.WARREN.BIOASSESSMENTPAPER.4.21.14Faith Warren
 
Reproductive biology of the milk shark Rhizoprionodon acutus (Rüppell, 1837) ...
Reproductive biology of the milk shark Rhizoprionodon acutus (Rüppell, 1837) ...Reproductive biology of the milk shark Rhizoprionodon acutus (Rüppell, 1837) ...
Reproductive biology of the milk shark Rhizoprionodon acutus (Rüppell, 1837) ...Sana_haroon
 
Age and growth
Age and growthAge and growth
Age and growthuog
 
A Quantitative Study of the Productivity of the Foraminifera in the Sea
A Quantitative Study of the Productivity of the Foraminifera in the SeaA Quantitative Study of the Productivity of the Foraminifera in the Sea
A Quantitative Study of the Productivity of the Foraminifera in the SeaNicha Tatsaneeyapan
 
WGC 2016 poster on RCA EFP fishing surveys
WGC 2016 poster on RCA EFP fishing surveysWGC 2016 poster on RCA EFP fishing surveys
WGC 2016 poster on RCA EFP fishing surveysSteve Rienecke
 
Terrill_Sean_Poster_Final
Terrill_Sean_Poster_FinalTerrill_Sean_Poster_Final
Terrill_Sean_Poster_FinalSean Terrill
 
Reproductive biology of mugil cephalus
Reproductive biology of mugil cephalusReproductive biology of mugil cephalus
Reproductive biology of mugil cephalusRishika Vardhelli
 
! 1!A Scientific Review of the Physiology of Pacific Salmo
! 1!A Scientific Review of the Physiology of Pacific Salmo! 1!A Scientific Review of the Physiology of Pacific Salmo
! 1!A Scientific Review of the Physiology of Pacific Salmotroutmanboris
 
Lecture 9: Population Ecology
Lecture 9: Population EcologyLecture 9: Population Ecology
Lecture 9: Population EcologyErik D. Davenport
 
Turtle Nest Predation Poster
Turtle Nest Predation PosterTurtle Nest Predation Poster
Turtle Nest Predation PosterShelby Does
 
dolphin research poster
dolphin research posterdolphin research poster
dolphin research posterLauren O'Neil
 
Fish Behavior in relation to Longlines.pptx
Fish Behavior  in relation to Longlines.pptxFish Behavior  in relation to Longlines.pptx
Fish Behavior in relation to Longlines.pptxSakshi Patil
 
Interactions and space-use overlap between satellite-tracked blue sharks and ...
Interactions and space-use overlap between satellite-tracked blue sharks and ...Interactions and space-use overlap between satellite-tracked blue sharks and ...
Interactions and space-use overlap between satellite-tracked blue sharks and ...ecologiaazul
 
Website update 2012 6-15
Website update 2012 6-15Website update 2012 6-15
Website update 2012 6-15KerriL
 

Similar to Assesmnt of highly migratory stock (20)

FAITH.WARREN.BIOASSESSMENTPAPER.4.21.14
FAITH.WARREN.BIOASSESSMENTPAPER.4.21.14FAITH.WARREN.BIOASSESSMENTPAPER.4.21.14
FAITH.WARREN.BIOASSESSMENTPAPER.4.21.14
 
Reproductive biology of the milk shark Rhizoprionodon acutus (Rüppell, 1837) ...
Reproductive biology of the milk shark Rhizoprionodon acutus (Rüppell, 1837) ...Reproductive biology of the milk shark Rhizoprionodon acutus (Rüppell, 1837) ...
Reproductive biology of the milk shark Rhizoprionodon acutus (Rüppell, 1837) ...
 
Age and growth
Age and growthAge and growth
Age and growth
 
A Quantitative Study of the Productivity of the Foraminifera in the Sea
A Quantitative Study of the Productivity of the Foraminifera in the SeaA Quantitative Study of the Productivity of the Foraminifera in the Sea
A Quantitative Study of the Productivity of the Foraminifera in the Sea
 
migration of Fishes
migration of Fishesmigration of Fishes
migration of Fishes
 
MIGRATION OF FISHES
MIGRATION OF FISHESMIGRATION OF FISHES
MIGRATION OF FISHES
 
WGC 2016 poster on RCA EFP fishing surveys
WGC 2016 poster on RCA EFP fishing surveysWGC 2016 poster on RCA EFP fishing surveys
WGC 2016 poster on RCA EFP fishing surveys
 
Animal distribution
Animal distributionAnimal distribution
Animal distribution
 
Ace cal c
Ace cal cAce cal c
Ace cal c
 
Terrill_Sean_Poster_Final
Terrill_Sean_Poster_FinalTerrill_Sean_Poster_Final
Terrill_Sean_Poster_Final
 
Reproductive biology of mugil cephalus
Reproductive biology of mugil cephalusReproductive biology of mugil cephalus
Reproductive biology of mugil cephalus
 
! 1!A Scientific Review of the Physiology of Pacific Salmo
! 1!A Scientific Review of the Physiology of Pacific Salmo! 1!A Scientific Review of the Physiology of Pacific Salmo
! 1!A Scientific Review of the Physiology of Pacific Salmo
 
Lecture 9: Population Ecology
Lecture 9: Population EcologyLecture 9: Population Ecology
Lecture 9: Population Ecology
 
Turtle Nest Predation Poster
Turtle Nest Predation PosterTurtle Nest Predation Poster
Turtle Nest Predation Poster
 
dolphin research poster
dolphin research posterdolphin research poster
dolphin research poster
 
Acoustic Tagging Studies – Beyond Presence/Absence
Acoustic Tagging Studies – Beyond Presence/AbsenceAcoustic Tagging Studies – Beyond Presence/Absence
Acoustic Tagging Studies – Beyond Presence/Absence
 
Fish Behavior in relation to Longlines.pptx
Fish Behavior  in relation to Longlines.pptxFish Behavior  in relation to Longlines.pptx
Fish Behavior in relation to Longlines.pptx
 
Otolith2
Otolith2Otolith2
Otolith2
 
Interactions and space-use overlap between satellite-tracked blue sharks and ...
Interactions and space-use overlap between satellite-tracked blue sharks and ...Interactions and space-use overlap between satellite-tracked blue sharks and ...
Interactions and space-use overlap between satellite-tracked blue sharks and ...
 
Website update 2012 6-15
Website update 2012 6-15Website update 2012 6-15
Website update 2012 6-15
 

Recently uploaded

Chemistry 4th semester series (krishna).pdf
Chemistry 4th semester series (krishna).pdfChemistry 4th semester series (krishna).pdf
Chemistry 4th semester series (krishna).pdfSumit Kumar yadav
 
DIFFERENCE IN BACK CROSS AND TEST CROSS
DIFFERENCE IN  BACK CROSS AND TEST CROSSDIFFERENCE IN  BACK CROSS AND TEST CROSS
DIFFERENCE IN BACK CROSS AND TEST CROSSLeenakshiTyagi
 
Chromatin Structure | EUCHROMATIN | HETEROCHROMATIN
Chromatin Structure | EUCHROMATIN | HETEROCHROMATINChromatin Structure | EUCHROMATIN | HETEROCHROMATIN
Chromatin Structure | EUCHROMATIN | HETEROCHROMATINsankalpkumarsahoo174
 
Pests of cotton_Sucking_Pests_Dr.UPR.pdf
Pests of cotton_Sucking_Pests_Dr.UPR.pdfPests of cotton_Sucking_Pests_Dr.UPR.pdf
Pests of cotton_Sucking_Pests_Dr.UPR.pdfPirithiRaju
 
Physiochemical properties of nanomaterials and its nanotoxicity.pptx
Physiochemical properties of nanomaterials and its nanotoxicity.pptxPhysiochemical properties of nanomaterials and its nanotoxicity.pptx
Physiochemical properties of nanomaterials and its nanotoxicity.pptxAArockiyaNisha
 
TEST BANK For Radiologic Science for Technologists, 12th Edition by Stewart C...
TEST BANK For Radiologic Science for Technologists, 12th Edition by Stewart C...TEST BANK For Radiologic Science for Technologists, 12th Edition by Stewart C...
TEST BANK For Radiologic Science for Technologists, 12th Edition by Stewart C...ssifa0344
 
Formation of low mass protostars and their circumstellar disks
Formation of low mass protostars and their circumstellar disksFormation of low mass protostars and their circumstellar disks
Formation of low mass protostars and their circumstellar disksSérgio Sacani
 
Botany 4th semester series (krishna).pdf
Botany 4th semester series (krishna).pdfBotany 4th semester series (krishna).pdf
Botany 4th semester series (krishna).pdfSumit Kumar yadav
 
Nanoparticles synthesis and characterization​ ​
Nanoparticles synthesis and characterization​  ​Nanoparticles synthesis and characterization​  ​
Nanoparticles synthesis and characterization​ ​kaibalyasahoo82800
 
GBSN - Microbiology (Unit 1)
GBSN - Microbiology (Unit 1)GBSN - Microbiology (Unit 1)
GBSN - Microbiology (Unit 1)Areesha Ahmad
 
Pests of cotton_Borer_Pests_Binomics_Dr.UPR.pdf
Pests of cotton_Borer_Pests_Binomics_Dr.UPR.pdfPests of cotton_Borer_Pests_Binomics_Dr.UPR.pdf
Pests of cotton_Borer_Pests_Binomics_Dr.UPR.pdfPirithiRaju
 
Forensic Biology & Its biological significance.pdf
Forensic Biology & Its biological significance.pdfForensic Biology & Its biological significance.pdf
Forensic Biology & Its biological significance.pdfrohankumarsinghrore1
 
Raman spectroscopy.pptx M Pharm, M Sc, Advanced Spectral Analysis
Raman spectroscopy.pptx M Pharm, M Sc, Advanced Spectral AnalysisRaman spectroscopy.pptx M Pharm, M Sc, Advanced Spectral Analysis
Raman spectroscopy.pptx M Pharm, M Sc, Advanced Spectral AnalysisDiwakar Mishra
 
Recombination DNA Technology (Nucleic Acid Hybridization )
Recombination DNA Technology (Nucleic Acid Hybridization )Recombination DNA Technology (Nucleic Acid Hybridization )
Recombination DNA Technology (Nucleic Acid Hybridization )aarthirajkumar25
 
Botany 4th semester file By Sumit Kumar yadav.pdf
Botany 4th semester file By Sumit Kumar yadav.pdfBotany 4th semester file By Sumit Kumar yadav.pdf
Botany 4th semester file By Sumit Kumar yadav.pdfSumit Kumar yadav
 
Biological Classification BioHack (3).pdf
Biological Classification BioHack (3).pdfBiological Classification BioHack (3).pdf
Biological Classification BioHack (3).pdfmuntazimhurra
 
All-domain Anomaly Resolution Office U.S. Department of Defense (U) Case: “Eg...
All-domain Anomaly Resolution Office U.S. Department of Defense (U) Case: “Eg...All-domain Anomaly Resolution Office U.S. Department of Defense (U) Case: “Eg...
All-domain Anomaly Resolution Office U.S. Department of Defense (U) Case: “Eg...Sérgio Sacani
 
GBSN - Microbiology (Unit 2)
GBSN - Microbiology (Unit 2)GBSN - Microbiology (Unit 2)
GBSN - Microbiology (Unit 2)Areesha Ahmad
 
Stunning ➥8448380779▻ Call Girls In Panchshil Enclave Delhi NCR
Stunning ➥8448380779▻ Call Girls In Panchshil Enclave Delhi NCRStunning ➥8448380779▻ Call Girls In Panchshil Enclave Delhi NCR
Stunning ➥8448380779▻ Call Girls In Panchshil Enclave Delhi NCRDelhi Call girls
 

Recently uploaded (20)

CELL -Structural and Functional unit of life.pdf
CELL -Structural and Functional unit of life.pdfCELL -Structural and Functional unit of life.pdf
CELL -Structural and Functional unit of life.pdf
 
Chemistry 4th semester series (krishna).pdf
Chemistry 4th semester series (krishna).pdfChemistry 4th semester series (krishna).pdf
Chemistry 4th semester series (krishna).pdf
 
DIFFERENCE IN BACK CROSS AND TEST CROSS
DIFFERENCE IN  BACK CROSS AND TEST CROSSDIFFERENCE IN  BACK CROSS AND TEST CROSS
DIFFERENCE IN BACK CROSS AND TEST CROSS
 
Chromatin Structure | EUCHROMATIN | HETEROCHROMATIN
Chromatin Structure | EUCHROMATIN | HETEROCHROMATINChromatin Structure | EUCHROMATIN | HETEROCHROMATIN
Chromatin Structure | EUCHROMATIN | HETEROCHROMATIN
 
Pests of cotton_Sucking_Pests_Dr.UPR.pdf
Pests of cotton_Sucking_Pests_Dr.UPR.pdfPests of cotton_Sucking_Pests_Dr.UPR.pdf
Pests of cotton_Sucking_Pests_Dr.UPR.pdf
 
Physiochemical properties of nanomaterials and its nanotoxicity.pptx
Physiochemical properties of nanomaterials and its nanotoxicity.pptxPhysiochemical properties of nanomaterials and its nanotoxicity.pptx
Physiochemical properties of nanomaterials and its nanotoxicity.pptx
 
TEST BANK For Radiologic Science for Technologists, 12th Edition by Stewart C...
TEST BANK For Radiologic Science for Technologists, 12th Edition by Stewart C...TEST BANK For Radiologic Science for Technologists, 12th Edition by Stewart C...
TEST BANK For Radiologic Science for Technologists, 12th Edition by Stewart C...
 
Formation of low mass protostars and their circumstellar disks
Formation of low mass protostars and their circumstellar disksFormation of low mass protostars and their circumstellar disks
Formation of low mass protostars and their circumstellar disks
 
Botany 4th semester series (krishna).pdf
Botany 4th semester series (krishna).pdfBotany 4th semester series (krishna).pdf
Botany 4th semester series (krishna).pdf
 
Nanoparticles synthesis and characterization​ ​
Nanoparticles synthesis and characterization​  ​Nanoparticles synthesis and characterization​  ​
Nanoparticles synthesis and characterization​ ​
 
GBSN - Microbiology (Unit 1)
GBSN - Microbiology (Unit 1)GBSN - Microbiology (Unit 1)
GBSN - Microbiology (Unit 1)
 
Pests of cotton_Borer_Pests_Binomics_Dr.UPR.pdf
Pests of cotton_Borer_Pests_Binomics_Dr.UPR.pdfPests of cotton_Borer_Pests_Binomics_Dr.UPR.pdf
Pests of cotton_Borer_Pests_Binomics_Dr.UPR.pdf
 
Forensic Biology & Its biological significance.pdf
Forensic Biology & Its biological significance.pdfForensic Biology & Its biological significance.pdf
Forensic Biology & Its biological significance.pdf
 
Raman spectroscopy.pptx M Pharm, M Sc, Advanced Spectral Analysis
Raman spectroscopy.pptx M Pharm, M Sc, Advanced Spectral AnalysisRaman spectroscopy.pptx M Pharm, M Sc, Advanced Spectral Analysis
Raman spectroscopy.pptx M Pharm, M Sc, Advanced Spectral Analysis
 
Recombination DNA Technology (Nucleic Acid Hybridization )
Recombination DNA Technology (Nucleic Acid Hybridization )Recombination DNA Technology (Nucleic Acid Hybridization )
Recombination DNA Technology (Nucleic Acid Hybridization )
 
Botany 4th semester file By Sumit Kumar yadav.pdf
Botany 4th semester file By Sumit Kumar yadav.pdfBotany 4th semester file By Sumit Kumar yadav.pdf
Botany 4th semester file By Sumit Kumar yadav.pdf
 
Biological Classification BioHack (3).pdf
Biological Classification BioHack (3).pdfBiological Classification BioHack (3).pdf
Biological Classification BioHack (3).pdf
 
All-domain Anomaly Resolution Office U.S. Department of Defense (U) Case: “Eg...
All-domain Anomaly Resolution Office U.S. Department of Defense (U) Case: “Eg...All-domain Anomaly Resolution Office U.S. Department of Defense (U) Case: “Eg...
All-domain Anomaly Resolution Office U.S. Department of Defense (U) Case: “Eg...
 
GBSN - Microbiology (Unit 2)
GBSN - Microbiology (Unit 2)GBSN - Microbiology (Unit 2)
GBSN - Microbiology (Unit 2)
 
Stunning ➥8448380779▻ Call Girls In Panchshil Enclave Delhi NCR
Stunning ➥8448380779▻ Call Girls In Panchshil Enclave Delhi NCRStunning ➥8448380779▻ Call Girls In Panchshil Enclave Delhi NCR
Stunning ➥8448380779▻ Call Girls In Panchshil Enclave Delhi NCR
 

Assesmnt of highly migratory stock

  • 1. Assesment of Highly Migratory fish Stock Presented by: Olik Jomang M.F.Sc 1st year Dept. FRM
  • 2. Introduction • The term highly migratory species (HMS) has its origins in Article 64 of the United Nations Convention on the Law of the Sea (UNCLOS). The Convention does not provide an operational definition of the term, but in an annexure (UNCLOS Annexure 1) it has lists the species considered highly migratory by parties to the Convention. • The list includes: tuna and tuna-like species (albacore, bluefin, bigeye tuna, skipjack, yellowfin, blackfin, little tunny, southern bluefin and bullet), pomfret, marlin, sailfish, swordfish, saury and ocean going sharks, dolphins and other cetaceans • This is a legal definition rather than a scientific definition based on the actual migratory behaviour of the species.
  • 3. • Some of these species may only occur and/or be caught within EEZs but the available global database does not allow distinguishing between catches made on the high seas and those made within EEZs. • Highly migratory species are therefore discussed without regard to stocks or occurrence within EEZs or on the high seas, except for tunas and some tuna-like species for which more detailed data are available
  • 4.
  • 5. • High sea fish stock produce 10% of the world food supply. • These high trophic level oceanodromous species undertake migrations of significant but variable distances across oceans for feeding, often on forage fish, or reproduction, and also have wide geographic distributions. Thus, these species are found both inside the 200 mile exclusive economic zones and in the high seas outside these zones. • Highly migratory species can be compared with straddling stock and transboundary stock. Straddling stock range both within an EEZ as well as in the high seas. Transboundary stock range in the EEZs of at least two countries. A stock can be both transboundary and straddling.
  • 6. General Assumption while Classical Stock Assessment and Migratory fish stock Assessment • Several methods presented so far are often insufficient when applied to migratory or schooling fish stocks. • General assumption :We can take representative random samples of the stock. • Migratory Species: Horizontal or vertical migration to areas not covered by the fleet or normal fishing gears,it is usually not possible to sample such stocks during these periods. • Lead to gaps in the samples ,its is also possible that the sample taken represent different parts of the stock and in such case it is likely that the data may misinterpreted.
  • 7. The concept and study of migration • Harden Jones (1968) :Defined migration as class of movement which impels migrants to return home to the region from which they started migrated or a systematic type of movement of individuals belonging to a stock. • He recognize three type of migratory movement: 1. Drifting with currents 2. Random locomotory movemnts and 3. Oriented locomotory movement. • Dingle (1980): Has opined that accedental or unintentional movement can not be included in the definition of migration. • Random movement are not considered migration in context of stock assessment because the interest of the subject is in type of migration that create bias for a length frequency sampling programme. • Predictatable e.g for some stock we can predict at which time and where high concentration can be found. • For stock assessment purposes , the explanation of why fish migrate is of little importance .The important thing is to know where the fish are at which time of the year.
  • 8. Bias create by migration 1. Daily vertical migration(e.g at the bottom during day and in the water column during night) 2. Daily horizontal migration e.g skipjack tuna has been observed to move away and return to a precise location each day(Yuen,1970) 3. Spawning migration 4. Size dependent vertical migration of adults(skipjack tuna,the younger year classes occur in surface schools,whereas the older specimens move to greater depths) 5. Size dependent horizontal migration (i.e larger specimens move to deeper waters ,while 6. Migration of juvenile,they may remain in the upper layers day and night whereas the adults are at the bottom during the day
  • 9. Fig:Illustration of Potential Bias due to migration during stock assessment
  • 10. • However, numerous HMS exhibit spatial and temporal overlap, which creates management challenges since large quantities of non target HMS are often caught incidentally. • The various HMS captured may not have the same intrinsic population growth rates or carrying capacities; therefore, their populations may not exhibit the same responses to a given level of fishing effort. • Since fishers often seek productive stocks, non target species may be depleted at a rate faster than target species, thus sustainable management of all stocks may require a reduction of effort well below that which maximizes yield of the target species.
  • 11. Bias when migration route is not known • Assumption:The migration patten is not known but believed that the entire stock is on the fishing ground all year round. • In this case ,while doing sampling for estimation of growth parameters ,the important data for the first half year of the life are not available. • Then here one may wrongly explain the absence of small fish as overexpliotation of the stock. • And an obvious misinterpretation can be mortality
  • 12.
  • 13. Study of Migration route • Tagging: The classical way to study movement of fish is a taggging programme. • Identification tag are attached externaly or placed in the body cavity ,the fish is measured and released at a known spot.If successful,may provide a lot of useful information on the net displacements between the point of release and the point of recapture. • Demerit:Do not provide information on what has happened in between those moments and points. • Sophisticated acoustic and radio tags allow continous observations of the movemnt of single fish as followed from a research vessel. • Latest models of tags record the compass bearing and tilt angle of an individual fish
  • 14. • Pop-up satellite archival tags (PSATs) is an archival tag (or data logger) that is equipped with a means to transmit the collected data via satellite. • Its major advantage is that it does not have to be physically retrieved like an archival tag for the data to be available making it a viable, fishery independent tool for animal behavior studies. • They have been used to track movements of ocean sunfish, marlin, blue sharks, bluefin tuna, swordfish and sea turtles.
  • 15. • The Annual-Return Matched Sample Methods • Its is a method for the estimation of growth parameters and mortality rates of migratory stocks. • The method is based on the assumption that a fish stock follows a predictable migration route.If this migration route is known (e.g from taggings) in the time and space we are in a position to follow the cohort and to match samples from the same cohort.
  • 16. Hyphothetical Model Area B(summer) Area C (Autumn) Area A (Spring) Area D(Winter) A,B,C,D symbolize geographical area.We assume the stock to undertake the same migration each year.
  • 17. General Matched Samples Method • This method assumes that we have knowledge or a hypothesis of the migration route in time and space , and therefore are able to match samples so that they originate (or can be hypothesized to originate ) from the same cohort. • To illustrate the feature of the general matched samples method for estimation of total mortalities a simple hypothetical example was conducted.This simplified example deals with one cohort migrating through three area,A,B, and C . • From A the cohort moves to B and then to C where its stays for a while ,its moves back to B where it started in A
  • 18. CA B
  • 19. Case study • Seasonally migrating species sometimes migrate earlier in the season, the older and bigger fish first. • The problem is analysed in well documented studies of a stcok of North Atlantic mackerel,Scomber scomrus. • The size dependent migration of this stock has been demonastrated by Darson(1986) and Eltink (1987) • The stock lives in north and west of the United Kingdom and Ireland • The main migration route :The stock undertake annual migration from the “over-wintering area “ to the spawning area “ , from spawning area to feeding area and from feeding area back to the over –wintering area • The total distance travel:500-1000 nautical miles per year. • Spawning: March to july • Sampling: Monthly basis and age,length and maturity stages were recorded.
  • 20.
  • 21. • Scomber scombrus is a species of temperate water thus relatively easy to read the age from the otoliths. • The findings of Dawson (1986) and Eltink (1987) were based on random samples caught by commercial as well as research vessels on the spawning ground during spawning period.
  • 22.
  • 23. • The migration from the over wintering area to spawning was found found to be occur in an age size succession in which the old fish arrive before young .
  • 24. • Fig 11.6.3 (from Dawson,1986) illustrates bias problems when estimating growth parameters for a migratory stock. • The five growth curves were each estimated by the matched sample methods. • The data from the beginning of the spawning period (March) produce a curve for large slow-growing larger fish compared to the data collected at the end of he spawning period ,which give a sleeper curve with a smaller L infinity.
  • 25.
  • 26. Conclusion • In marine ecosystems, highly migratory species (HMS) are characterized as having vast geographical distributions, with extensive individual migrations often spanning entire oceans. Dispersal on this scale can promote ocean-wide population connectivity, resulting in many HMS exhibiting genetic homogeneity. • From a biological perspective, these species often comprise a single unit stock within an ocean basin. Since single stocks can be distributed throughout multinational and international waters (as with the tunas [Family Scombridae]), sustainable management of these harvested stocks requires cooperation between all fishing nations
  • 27. Reference • Dawson.1986.estimation of growth parameters of highly migratory fish stock of Scomber scomrus of United kingdom and ireland. • FAO .1994.World review of highly migratory species and straddling stocks, FAO Fisheries Technical paper 337, Rome • FAO .2002. conservation and management of shared fish stock, FAO Fisheries Technical Paper 465,rome • FAO.2003.Fish Stock Assessment Manual,FAO Fisheries Technical Paper 393,Rome • FAO .2006. The state of world highly migratory, straddling and other high seas fishery resources and associated species, FAO fisheries Technical Paper 495,Rome