Badminton Reykjavik Wp 1

7/31/2019 Badminton Reykjavik Wp 1

1/13

WP 1: Key results and manuscript progress

Reykjavik, Iceland, 29-31 May 2012

Sebastian Uhlmann, Elisabet Kemp, Marie-Joelle Rochet,Edwin van Helmond


2/13

Key results

First time: synthesis of discard

data across countries andareas; spanning from the CelticSea to the Mediterranean.

In total, data of 147 fish and 26

invertebrate species werecompiled from 19 metiers and11 areas (i.e. fishing grounds).

Some of the most-commonlydiscarded species include: hake

mackerel; dab; and plaice


3/13

Recap: previous meetings

WP1 report: table with mean numbers discarded/landed

per hour and trip

Decision in Rhodes: consolidate rates for the samemetier from different countries

Weighting procedure: common descriptor of

fishing/sampling effort among partners: number ofsampled trips


4/13

Since then....

Table as in WP1 report:

Country Species Fishingground

ICESDivision

Mtier DIS/LAN Mean Standarddeviation

Number oftrips

DK Pleuronectesplatessa

North

Sea

IVc OTB_DEF DIS 2,5005 12,2692 103

FR Pleuronectesplatessa

North

Sea

IVc OTB_DEF DIS 0,0706 0,2809 58

Discard rates were weighted by the number of sampledtrips, when combined across ICES Divisions andcountries.

Species Fishingground

Mtier DIS/LAN Mean Standarddeviation

Pleuronectesplatessa

North

Sea

OTB_DEF DIS 1,4500 8,5345

Table as used for manuscript:


5/13

Since then....: manuscript progress

Manuscript table contains lots of rows.....

Boiling it down in a meaningful way

Identifying objectives: what is strength of this work?

Synthesis of discard rates across countries (andICES Divisions)

Therefore, comparisons should be across

Metiers

Fishing grounds

with greatest overlap between countries Identifying objectives: tie it in with the CFP discard ban?


6/13

Manuscript: objectives

The aim was to describe whether

i) for the same metier, discard rates of commonly-discarded species were similar between regions(inter-region comparison), or whether

ii) for the same region, discard rates of commonly-discarded species were similar between metiers(intra-region comparison).


7/13

Manuscript: nominating the list of species

Define the tip of the iceberg, without boiling it

Define a-priori criteria to limit the data to:

Areas with greatest overlap:

Celtic, North and Mediterranean Sea

Metiers with greatest overlap OTB_DEF, OTB_CRU, TBB_DEF

Species in CFP reform proposal and MLSregulated

Identify those species with highest/lowest degree ofsimilarity/contrast between combined means(difference between min. and max. means)


8/13

Manuscript: nominated list of species

Copenhagen list: cod, horse mackerel, Atlantic mackerel,

blue whiting, hake, and grey gurnard

List 1: if considering contrasts/similarities between allmetiers and all areas:

Atlantic mackerel, hake, cod, plaice, haddock, and

saithe List 2: if considering contrasts between only OTB_CRU,

OTB_DEF, and TBB_DEF metiers and 3 areas:

Atlantic mackerel, hake, whiting, plaice, haddock

But still different options to pick and display results....


9/13

Manuscript: example (list 1)


10/13

Manuscript: example by area (list 2)


11/13

Manuscript: example by metier (list 2)


12/13

Manuscript: other options??

Limitation when focus is on overlap-fisheries/areas:

Missing out on information from other metiers andregions though (e.g. the actual highest discard rate maybe in another area)

How many species with highest contrasts (e.g. three in

total, or three per metier)? create the graphs for each of these species and each of

the OTB_CRU, OTB_DEF, TBB_DEF metiers to comparethese discard rates between regions (inter-regioncomparison), and then zoom in on those regions with

the highest (number of ) contrasts and compare rateswithin this region between other metiers (intra-regioncomparison).

Or a mix of approaches?


13/13

Contributions needed:

Table input: listing methodology on how numbers wereraised from haul to trip level? (e.g. filling out earliertemplate, or similar to one of the ICES SGPIDS tables)

Any guidance/ideas on how species of interest areselected and results should be displayed?

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Badminton Reykjavik Wp 1