badminton reykjavik wp 1
Post on 05-Apr-2018
222 Views
Preview:
TRANSCRIPT
-
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
-
7/31/2019 Badminton Reykjavik Wp 1
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
-
7/31/2019 Badminton Reykjavik Wp 1
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
-
7/31/2019 Badminton Reykjavik Wp 1
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:
-
7/31/2019 Badminton Reykjavik Wp 1
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?
-
7/31/2019 Badminton Reykjavik Wp 1
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).
-
7/31/2019 Badminton Reykjavik Wp 1
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)
-
7/31/2019 Badminton Reykjavik Wp 1
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....
-
7/31/2019 Badminton Reykjavik Wp 1
9/13
Manuscript: example (list 1)
-
7/31/2019 Badminton Reykjavik Wp 1
10/13
Manuscript: example by area (list 2)
-
7/31/2019 Badminton Reykjavik Wp 1
11/13
Manuscript: example by metier (list 2)
-
7/31/2019 Badminton Reykjavik Wp 1
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?
-
7/31/2019 Badminton Reykjavik Wp 1
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?
top related