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No 1: PML - Plymouth Marine Laboratory, Plymouth, UK POL - Proudman Oceanographic Laboratory, Birkenhead, UK (CCMS - Centre for Coastal and Marine Sciences) |
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| Scientific Team
Dr. T.J. Smyth - Remote sensing co-ordinator Dr. R. Proctor - Marine physics, mathematical modelling Mr. S.B. Groom - Ocean colour data analysis
Under sub-contract to MBA Dr. S.H. Coombs - Team leader and SEAMAR co-ordinator. Mr. D.V.P. Conway - Plankton ecologist Mr. N.C. Halliday - Plankton ecologist
Objectives PML will assist in model development, provide biological support for application of the model, in particular parameterisation of post-larval biology, input remote sensing data for support of cruises and model forcing, and act as overall project co-ordinator.
Sub-task 1.1 Model development and sensitivity analysis Sub-task 1.2 Provision of archive and field sampling data to the model Sub-task 2.1 Determine the geographical distribution of mackerel larvae and post-larvae in relation to the hydrography and primary and secondary production. Sub-task 2.2 Parameterisation of dispersion and vertical distribution Sub-task 2.3 Estimation of growth, mortality and condition Sub-task 2.4 Measuring feeding and predation in relation to food availability and species composition. Sub-task 4.1 Analysis of remote sensing data to characterise mesoscale features and broad-scale hydrographic and production regimes. Sub-task 4.2 Hydrographic sampling for
measurement of environmental conditions
Methods Sub-task 1.1 Development of Individual-Based Modules of growth and mortality Sub-task 1.2 Input of data and refinement of model simulations by feedback between the modelling and data input components. Sub-task 2.1 and 2.2 Vertical distribution sampling along transects for post-larvae (gear selection from Bongo, MIK, RMT, Tucker Trawl and neuston nets). Sub-task 2.3 Larval and post-larval growth from otolith rings; carbon and nitrogen analysis for condition; mortality rates from regression analysis of length-frequency abundance. Sub-task 2.4 Gut contents analysis of post-larvae, plankton biomass measures and indices of primary production from satellite data. Sub-task 4.1 Satellite images processed for sea-surface temperature (AVHRR) and phytoplankton pigment (CZCS, OCTS, SeaWIFS, MODIS and MERIS). Historical and current data analysed for mesoscale features with processed images available via World-Wide Web. Sub-task 4.2 CTD and UNDULATOR sampling;
ADCP for currents for model validation.
Timetable of research activities Year 1
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| Sub-contract to PML: The Marine Biological Association. Plymouth UK | |||
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Scientific Team Dr. S.H. Coombs - Team leader and SEAMAR co-ordinator. Mr. D.V.P. Conway - Plankton ecologist Mr. N.C. Halliday - Plankton ecologist Objectives As a sub-contract from PML, the MBA participants will carry out the following aspects of the overall PML progranmme: to provide biological support for application of the model, in particular for field sampling and parameterisation of post-larval biology, and to act as overall project coordinator.
Actions in the project Sub-task 1.1 Model development and sensitivity analysis Sub-task 1.2 Provision of archive and field sampling data to the model Sub-task 2.1 Determine the geographical distribution of mackerel larvae and post-larvae in relation to the hydrography and primary and secondary production Sub-task 2.2 Parameterisation of dispersion and vertical distribution Sub-task 2.3 Estimation of growth, mortality and condition Sub-task 2.4 Measuring feeding and predation in relation to food availability and species composition Sub-task 4.2 Hydrographic sampling for measurement of environmental conditions Methods Sub-task 1.1 Development of Individual-Based Modules of growth and mortality Sub-task 1.2 Input of data and refinement of model simulations by feedback between the modelling and data input components Sub-task 2.1 and 2.2 Vertical distribution sampling along transects for post-larvae (gear selection from Bongo, MIK, RMT, Tucker Trawl and neuston nets) Sub-task 2.3 Larval and post-larval growth from otolith rings; carbon and nitrogen analysis for condition; mortality rates from regression analysis of length-frequency abundance Sub-task 2.4 Gut contents analysis of post-larvae, plankton biomass measures and indices of primary production from satellite data Sub-task 4.2 CTD and UNDULATOR sampling Timetable of research activities Year 1
Year 2
Year 3
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| Partner No 2: IEO - Instituto Español de Oceanografía, Santander, Spain. | |||
| Scientific Team
Dr. L. Valdés - Plankton ecology and database; Team leader. Ms. A. Solá - Research vessel surveys. Ms. C. Franco - Plankton analysis and computer processing. Ms. A. Lago de Lanzós - Early life stage distribution/transport processes. Dr. A. Lavín - Hydrographic sampling and analysis. Mr. M. Cabanas - Oceanic circulation. Ms. C. Porteiro - Distribution and abundance of adults and recruits. Ms. B. Villamor - Distribution and abundance of adults and recruits. Mr. M. Bernal- Statistics and computer processing.
Objectives The main input from IEO will be provision of data to the model from the results of field surveys in the area of Cape Ortegal and the inner Bay of Biscay; IEO will also manage the SEAMAR database.
Sub-task 1.2. Input data from field surveys and provide model test conditions. Sub-task 2.1. Supply ichthyoplankton distributions in relation to mesoscale features. Sub-task 2.2. Studies of patch distribution and vertical distribution of larvae and post-larvae. Sub-task 2.3. Field measurements of growth and mortality. Sub-task 2.4 Supply estimates of food availability Task 3. Provide data on distribution and intensity of recruitment in the Bay of Biscay Task 4.2. Sampling to characterise the hydrography and oceanic circulation Task 5. Data management, collation and
dissemination.
Methods Sub-task 1.2. Provision of data from field surveys, meteorological records and the literature. Task 2. Patch studies and Lagrangian experiments on dedicated surveys with concurrent sampling for larvae and environmental conditions; supplemented by the ICES Triennial Egg Survey database; larval otoliths processed for daily growth estimates; satellite data for production estimates. Task 3. Provision of data from catch analysis and acoustic surveys in the Bay of Biscay Sub-task 4.2. CTD sampling on dedicated mesoscale targeted research cruises Task 5. Operation of an ORACLE database
with WWW-INTERNET access.
Timetable of research activities Year 1
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| Partner No 3: IHF - Institut für Hydrobiologie und Fischereiwissenschaft, University of Hamburg, Germany. | |||
| Scientific Team
Prof. Dr. W. Nellen - Team leader. Dr. M. Kloppmann - Biological parameterisation Dr. J. Bartsch - Mathematical modelling
Objectives The contribution of IHF will be to model development and determining the range and structure of distribution of mackerel larvae and post-larvae in relation to the physical environment and to growth and mortality. These results will contribute to development and validation of the bio-physical transport model.
Sub-task 1.1 Formulation and parameterisation of larval growth and mortality Sub-task 1.2 Simulation of circulation fields, testing and validating (includes T0/T1 studies) BPTM Sub-task 2.1 Sampling for geographical distribution of larvae and post-larvae and small scale distribution of mackerel larvae in relation to physical environment Sub-task 2.2 Determining patch-structure, behaviour and vertical distribution of larvae and post-larvae Sub-task 2.3 Measuring growth of mackerel larvae in a patch Sub-task 2.3 Measuring mortality of mackerel larvae in a patch Sub-task 4.2 Determining mesoscale hydrographic
features that affect distribution and patch structure
Methods Sub-task 1.1 Develop and incorporate individual-based models of growth and mortality in the transport model, literature derived parameterisation of larval growth Sub-tasks 1.2 and 2.1Bongo nets, neuston nets and a specially designed young fish trawl for post-larval sampling on two consecutive cruises for T0 and T1 distributions of mackerel larvae and post-larvae for model input and comparisons Sub-task 2.2 Tracking patches of larvae with drift buoys and high resolution sampling with a multiple-opening closing net to study their vertical and fine scale horizontal distribution in relation to the hydrography Sub-task 2.3 Otolith daily growth ring analysis in relation to the physical and biological environment of the larvae. Regression analysis of larval abundance from patch sampling in differing hydrographic regimes. Sub-task 2.4 Stomach contents analysis of larvae and post-larvae Sub-task 4.2 Standard hydrographic measurements
to accompany all biological sampling to detect mesoscale hydrographic features
that may affect survival of larvae
Timetable of research activities Year 1
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| Partner No 4: AZTI - Fisheries and Food Technological Institute, San Sebastian, Spain. | |||
| Scientific Team
Dr. L. Motos - Egg and larval distribution, fish larval ecology. Team leader. Dr. A. Uriarte Villalba - Hydrography and transport in patch studies.
Mr. A. Uriarte - Co-ordinator of JUVESU, Juvenile studies, adult distribution. Mr. M. González - Circulation and hydrography Ms. Y. Sagarminaga - Satellite imagery studies
Objectives AZTI will be primarily addressing the influence of oceanographic features (e.g. slope fronts, eddies and other oceanic features) on the fate of mackerel larvae in southern Biscay in relation to their early life-history and advection/retention processes.
Sub-task 1.2. Model application using input data from field surveys. Sub-task 2.1. Distribution of eggs and larvae in relation to oceanographic features, in collaboration with INDICES project. Sub-task 2.2. Patch studies on larval dynamics, including horizontal and vertical distribution. Sub-task 2.3. Field studies on pre-metamorphosis and juvenile growth and mortality. Task 3. Estimation of recruitment distribution and strength in the Bay of Biscay (in collaboration with the JUVESU project. Sub-task 4.1. Satellite imagery support for cruises. Sub-task 4.2. Field hydrographic measurements
in association with biological sampling.
Methods Sub-task 1.1. Data from literature reviews, historical data series including collation of meteorological or satellite records and field surveys. Sub-task 2.1. Historical data series include ICES triennial egg surveys, in connection with the "INDICES" project. Transect coverage for eggs and larvae using Bongo net. Sub-task 2.2. Tracking the main spawning centres by means of drift buoys. Intensive sampling to study onshore/offshore larval transport and biological implication. High temporal resolution sampling close to the drifting buoys, including discrete layer vertical sampling. Sub-task 2.3. Pre-metamorphosis growth studies using otolith daily ring techniques. Task 3. Data on recruit distribution from the "JUVESU" project. Sub-task 4.1. Provision of fields of sea-surface temperature and phytoplankton pigment. Sub-task 4.2. ADCP profiling. T/S characterisation
with CTD. Advection coefficients through drift studies.
Timetable of research activities Year 1
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| Partner No 5: MARLAB - Marine Laboratory Aberdeen, Scotland | |||
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Scientific Team Dr M. Bailey - Analysis of otolith microstructure. Team leader. Dr D. Reid - Egg and recruit survey databases. Dr M. Heath - Analysis of otolith microstructure. Dr M. Priede - Mackerel bilogy.
Objectives The main role of this group will be in the collection and analysis of mackerel recruit otoliths from a variety of nursery areas to determine their relative growth patterns. The group will also provide distributional analyses from the mackerel egg and recruit databases held at MLA.
Sub-task 1.2 Provide historic time-series data on mackerel egg and recruit distributions Sub-task 2.1 Determine regional distribution patterns of larvae Sub-task 2.3 Analyses post-larval and recruit otolith microstructures Task 3 Analyse historic recruit time-series
and collect new recruit distribution data; collect recruit samples for
otolith analysis.
Methods Sub-task 1.2 Information from the ICES Triennial Egg Survey (1977-1998) and the recruit survey databases, both held at MLA, will be available for data extraction for model input, test and validation. Sub-task 2.1 Processing of egg survey and larval distributional data. Sub-task 2.3 Otoliths from post-larvae and age-0 recruits will be analysed by microscope and image analysis for daily incremental growth rings. Task 3 Routine surveys for mackerel
recruit distributions will be carried out in all year of the project. These
from part of the ICES co-ordinated western area bottom trawl survey. Samples
are collected by standard bottom trawl tows on an ICES rectangle basis.
Timetable of research activities Year 1
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| Partner No 6: MRI - Martin Ryan Science Institute, University College Galway, Ireland. | |||
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Scientific Team Prof. Dr. J. M. Fives - Team leader Dr. Sarah Varian - Marine fisheries ecologist.
Objectives MRI will be providing input data to the model based on the analysis of samples from the ICES Triennial Mackerel Egg Surveys.
Sub-task 2.1 Charting the distribution of mackerel larvae and post-larvae Sub-task 2.3 Determination of growth and mortality rates of mackerel larvae Sub-task 2.4 Gut contents analysis for
feeding studies
Methods Sub-task 2.1. Identification and counting of mackerel larvae from the ICES Triennial Mackerel Egg Survey samples and relating to recorded environmental variables. Sub-task 2.3 Length-frequency analysis for determination of larval growth and mortality. Sub-task 2.4 Gut contents analysis taking
account of food preferences and cannibalism in relation to food availability.
Timetable of research activities Year 1
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| Partner No 7: IPIMAR - Instituto de Investigaçao das Pescas e do Mar, Lisbon, Portugal. | |||
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Scientific Team Ms. I. Meneses - Growth studies. Team leader Ms. T. Rosa - Hydrography and input of data to database Ms. C. Vendrell - Egg and larval distributions and growth studies Ms. A. Farinha - Egg and larval distributions
Objectives IPIMAR will be contributing to the distribution of mackerel eggs and larvae in relation to environmental conditions (temperature and salinity), elaboration of age/length keys (ALKS), estimation of larval growth rates, and processing data for incorporation in the database and model.
Sub-task 2.1 Conduct two cruises in 1999 and two cruises in 2000. Ichthyoplankton distribution for input to database. Sub-task 2.3 Field measurements of growth and mortality Sub-task 4.2 Sampling (temperature and
conductivity) to characterise hydrography
Methods Sub-task 2.1 Field sampling for eggs and larvae for distribution and abundance Sub-task 2.3 Image analysis of larval lengths, otolith daily ring counts and ALKS for larval growth rate determination Sub-task 4.2 CTD data processed for
input to the database and model
Timetable of Research Activities Year 1
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| Partner No 8: BAH - Biologische Anstalt Helgoland, Hamburg, Germany (Non-funded partner). | |||
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Scientific Team Dr. Hein von Westernhagen - Team leader 2 doctoral scientists - marine fisheries ecologists
Objectives The contribution of BAH will be to determining the range and structure of distribution of the early life history (ELH) stages of mackerel (larvae, post larvae and juveniles) in relation to the physical environment and with respect to feeding, growth and mortality.
Sub-task 1.2 T0/T1 study for validation of BPTM Sub-task 2.1 Geographical distribution of eggs and larvae and post-larvae Small scale distribution of mackerel larvae in relation to physical environment Sub-task 2.2 Patch-structure, behaviour and vertical distribution of larvae and post-larvae Sub-task 2.3 Growth, mortality and condition of mackerel larvae in different environments Sub-task 2.4 Feeding and cannibalism of larvae and post-larvae in relation to environment Sub-task 4.2 Mesoscale hydrographic
features that affect distribution and patch structure
Methods Sub-tasks 1.2 and 2.1 Bongo nets, neuston nets and young fish trawl for sampling on consecutive cruises for T0/T1 distributions of mackerel larvae and post-larvae Sub-task 2.2 Tracking patches of larvae with drift buoys and high resolution sampling with amultiple-opening closing net for vertical and fine-scale horizontal distribution inrelation to hydrography. Sub-task 2.3 Regression analysis of larval abundance from patch sampling in differing hydrographic regimes. Otolith daily growth ring analysis in relation to the physical and biological environment. Condition determination by C/N analysis Sub-task 2.4 Stomach content analysis with particular attention to cannibalism. Water bottle sampling for measurement of prey abundance Sub-task 4.2 Standard hydrographic measurements
to accompany all biological sampling to detect mesoscale hydrographic features
that may affect survival of larvae
Timetable of research activities Year 1
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