2. Cluster Analyses – group according to similar proportions of catch* composition (*landings) Compare: do they give the same classifications?
Two examples:
North Sea
(2005/1990-2005)
Otter
SW of England (VII)
(2002/3 – 2003)
Beam
Based on value of catch (Euros….)
To clarify:
METHOD
Graphical North Sea (otter)
Cluster North Sea (otter)
Graphical SW of England (beam)
Cluster SW of England (beam)
CASE STUDY
DCR Categories - for graphical (proposed) • Molluscs • Crustaceans • Demersal fish • Mixed crustaceans and demersal fish • Mixed cephalopods and demersal fish • Small pelagic fish • Deep water species • Mixed pelagic and demersal fish • Mixed demersal and deep-water species
RCM NE Atlantic Fishing activity Molluscs Molluscs
RCM North Sea Fishing activity Molluscs Molluscs
Molluscs Crustaceans Demersal fish Mixed crustaceans and demersal fish
Molluscs Crustaceans Demersal fish (*) Mixed crustaceans and demersal fish Mixed cephalopods and demersal fish Small pelagic fish Deep-water species Mixed pelagic and demersal fish Mixed demersal and deep-water species Molluscs Crustaceans Demersal fish Deep-water species Mixed crustaceans and demersal fish Mixed pelagic and demersal fish Demersal fish Crustaceans Small pelagic fish
Mixed cephalopods and demersal fish Small pelagic fish Deep-water species Mixed pelagic and demersal fish Mixed demersal and deep-water species Multi-rig otter trawl
Bottom pair trawl
OTT
PTB
Molluscs Crustaceans Demersal fish Deep-water species Mixed crustaceans and demersal fish Mixed pelagic and demersal fish Demersal fish Crustaceans Small pelagic fish
Graphical approach
Each represents % of trips
Use it to visualise Distinct Groups
DEM
mixed
CRUS
If > 0.4 and CRUS < 0.1 Then = DEM
Else mix If > 0.5 and Dem 0.4 & CRU < 0.1 = DEM CRU>0.5 & DEM 0.4 & CRU < 0.1 = DEM
Demersal (DEM)(cod)
CRU>0.5 & DEM 0.6 and MOL < 0.2 = DEM
only • Else MIX of DEM and MOL (CEPH) • (no significant other) • Should do by weight (sensitivity) (weight correlated with F)
Example: English Beam SW
Results Cluster FIVE clusters – mixed and sole – mixed – Monk and sole – cuttle – monk and megrim
Correlations with Area – mixed and sole – mixed – Monk and sole – cuttle – monk and megrim
VII d VII e VII f and g VII e VII h
EXAMPLE
Trawl
1) Lemon sole* and mixed 2) Bass and sole 3) Squid* and cuttlefish 4) Skates* 5) Monk 6) Bass midwater (80mm mesh)
-VIIe -VIId -VIIe -VIIf -VIIj -VIIe
{U1.1} {U1.2} {U1.3} {U1.4} {U1.5} {U3.1}
Beam
1) Mixed species plus sole 2) Mixed offshore (>221kw) 3) Mixed inshore ( 0.6 and MOL < 0.2 = DEM only
mixed and sole mixed Monk and sole cuttle monk and megrim
Else MIX of DEM and MOL (CEPH)
Matches – (one more detail) Verifies graphical approach
CONCLUSION DCR ~ are categories too course(?) - based on whole groups Cluster Analysis: more detailed(?). Do we need
this level of detail? Do match Graphic – multi-dimensional aspects problematic
Not comparing two very different approaches- DCR could have finer scale categories (sampling?) What do you do for this project? What are meaningful (useful) manageable units?
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