Michael Melnychuk, Tim Essington, Olaf Jensen, Trevor Branch, Ana Parma, John Pope, Tony Smith, Jason Link, Selina Heppell, Steve Martell Can fisheries under catch shares better track management targets ? Pew Charitable Trusts Webinar November 3, 2011
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Can fisheries under catch shares better track management targets ?
Can fisheries under catch shares better track management targets ?. Michael Melnychuk, Tim Essington, Olaf Jensen, Trevor Branch, Ana Parma, John Pope, Tony Smith, Jason Link, Selina Heppell, Steve Martell . Pew Charitable Trusts Webinar November 3, 2011. - PowerPoint PPT Presentation
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Michael Melnychuk, Tim Essington, Olaf Jensen, Trevor Branch, Ana Parma, John Pope, Tony Smith,
Jason Link, Selina Heppell, Steve Martell
Can fisheries under catch shares
better track management targets ?
Pew Charitable Trusts WebinarNovember 3, 2011
0
25
50
75
100
125
150
175
1950
1955
1960
1965
1970
1975
1980
1985
1990
1995
2000N
umbe
r of c
atch
sha
re fi
sher
ies
Year of catch share implementation
0255075
100125150175 South America
South Africa
Europe
U.S. W coast/Alaska
U.S. E coast
Canada W coast
Canada E coast
Australia
New Zealand
0255075
100125150175
1950
1955
1960
1965
1970
1975
1980
1985
1990
1995
2000
Year of catch share implementation
Year of fishery development
Catch shares → Allocation of quota to individuals such that competition among individuals is reduced
Ŷ Catch shares
Ŷ Partial catch shares
Ŷ Quota only
Ŷ Effort regulations
0 50 100 150
Benthic fishBethopelagic fish
Pelagic fishReef-associated fish
Invertebrates
Number of stocks in analyses
0
30
Alaska, U.S.
0
30
Australia
0
30
60New
Zealand
0
30
East coast Canada
0
30
West coast Canada
0
30
Europe
0
30
SouthAfrica
0
30
South America
0
30
Northeast & mid-Atlantic coast, U.S.
0
30
S. Atlantic coast & Gulf
of Mexico, U.S.
0
30
West coast U.S.
ŶC
atch
sha
res
ŶP
artia
l cat
ch s
hare
s
ŶQ
uota
onl
y
ŶE
ffort
regu
latio
ns
050
100
150
Ben
thic
fish
Bet
hope
lagi
c fis
hP
elag
ic fi
shR
eef-
asso
ciat
ed fi
shIn
verte
brat
es
Num
ber o
f sto
cks
in a
naly
ses
030
Ala
ska,
U
.S.
030
Aus
tralia
03060N
ew
Zeal
and
030
Eas
t coa
st
Can
ada
030
Wes
t coa
st
Can
ada
030
Eur
ope
030
Sou
thA
fric
a
030
Sou
th
Am
eric
a
030
Nor
thea
st &
m
id-A
tlant
ic
coas
t, U
.S.
030
S. A
tlant
ic
coas
t & G
ulf
of M
exic
o, U
.S.
030Wes
t coa
st
U.S
.
2000 – 2004
Do catch share fisheries better track management targets than fisheries not under catch shares ?
• Compared to non-catch shares, catch share fisheries had:
• less variability in C/Q
• less frequent (major) overfishing
• Effects of both quota management and catch shares
• Catch shares are one of many possible tools that can be used to help meet
management objectives
• Next step: what particular aspects of catch share systems tend to lead
to the outcomes we’ve observed ?
Thank you:
Data collection: Kate Stanton, Rachel Finley, Jordan Watson
Funding: Lenfest Ocean Program
RAM Legacy database: Dan Ricard and all contributors
Interviews: U.S. – Alaska: J. DiCosimo, J. Heltzel, M. Fina, S. Hare, S. Kelley, J. Regnart; U.S. – W Coast: J. DeVore, M. Burner, C. Niles, I. Stewart; U.S. – NE/Mid-Atl. Coast: C. Legault, T. Chute, D. Hart, J. Idoine, G. Shepherd, B. Beal, N. Meserve, K. Taylor, B. Spear, D. Boelke, T. Hoff, K. West, J. McNamee; U.S. – SE Coast/G. Mexico: J. McGovern, P. Hood, A. Strelcheck, S. Gerhart, J. Kimmel, J. Smith; Canada – W Coast: A. Keizer, B. Ackerman, W. Li Ou, P. Ridings, J. Rogers, J. Schweigert, E. Wylie, M. James; Canada – E Coast: P. Cahill, V. Docherty, J. Hansen, D. Coffin, M. Baker, D. Ball, H. Bishop, J. Buie, S. Campana, G. Chouinard, J. Conlin, P. Couillard, A. Frechet, J. Gaudette, C. Hendry, P. Koeller, M. LeCouffre, L. Legere, D. Lemelin, B. Lester, C. MacDonald, B. Morin, M. Moriyasu, D. Pezzack, D. Roddick, A. Rumbolt, T. Siferd, J. Simon, S. Smith, G. Stevens, H. Stone, C. Waters, R. Federizon; Europe: J. Sigurjónsson, J. Horwood, B. Deas, A. LeGarrec, C. Olesen, M. Anderson, M. Welvaert, G. van Balsfoort, P. Breckling, N. Holdsworth; Australia: C. Dichmont, N. Klaer, G. Tuck, S. Wayte, S. Auld, S. Gaddes, S. Koh, S. Weekes, B. Taylor, K. Crosthwaite, T. Ward, C. Gardner; New Zealand: D. Foster, D. Sykes, G. Clement; Argentina: J. Hansen, A. Giussi, M. Renzi; South Africa: A. Brandao, D. Butterworth, S. Halloway, S. Johnston, C. de Moor, R. Rademeyer, G. Maharaj, R. Bross, A. Badenhorst.
0.0 0.5 1.0 1.5 2.0
0
10
20
30
40
0
1
2
3Catch shares
0.0 0.5 1.0 1.5 2.0
0
10
20
30
40
0
1
2
3Partial catch shares
0.0 0.5 1.0 1.5 2.0
0
10
20
30
40
0
1
2
3Quota only
0 1 2 3
0
10
20
30
40
0
2
4
6
8Catch shares
0 1 2 3
0
10
20
30
40
0
2
4
6
8Partial catch shares
0 1 2 3
0
10
20
30
40
0
2
4
6
8Quota only
▬ Alaska, U.S.
▬ West coast, U.S.
▬ West coast, Canada
▬ East coast, Canada
▬ Europe
▬ Australia
▬ New Zealand
▬ Other
Probability density
Mean C/Q SD(target C/Q)
Catch/quota ratios
n = 130
n = 41
n = 88
▬ F
requ
ency
0 1 2 3 4 5 6 70
5
10
15
0.0
0.5
1.0
1.5Catch shares
0 1 2 3 4 5 6 70
5
10
15
0.0
0.5
1.0
1.5Partial catch shares
0 1 2 3 4 5 6 70
5
10
15
0.0
0.5
1.0
1.5Quota only
0 1 2 3 4 5 6 70
5
10
15
0.0
0.5
1.0
1.5Effort control
0 1 2 3 40
5
10
15
0.00.51.0
1.52.02.5Catch shares
0 1 2 3 40
5
10
15
0.00.51.0
1.52.02.5Partial catch shares
0 1 2 3 40
5
10
15
0.00.51.0
1.52.02.5Quota only
0 1 2 3 40
5
10
15
0.00.51.0
1.52.02.5Effort control
▬ Alaska, U.S.
▬ West coast, U.S.
▬ NE & mid-Atl., U.S
▬ Europe
▬ New Zealand
▬ Other
Probability density
Mean F/Ftarget SD(target F/Ftarget)
0 2 4 6024681012
0. 00. 51. 0
1. 5Cat ch s hare s
0 2 4 6024681012
0. 00. 5
1. 01. 5Par tial catch sh ares
0 2 4 6024681012
0. 00. 5
1. 0
1. 5Quo ta o nly
0 2 4 6024681012
0. 0
0. 51. 0
1. 5Effor t co ntrol
0 1 2 3 40510
15
0.00.51.0
1.5Cat ch share s
0 1 2 3 405
1015
0.00.5
1.01.5Pa rtial catch sh ares
0 1 2 3 405
1015
0.00.5
1.0
1.5Qu ota o nly
0 1 2 3 40
51015
0.0
0.51.0
1.5Effor t co ntrol
F/Ftarget ratiosn = 54
n = 24
n = 67
n = 27
▬ F
requ
ency
▬ Alaska, U.S.
▬ West coast, U.S.
▬ West coast, Canada
▬ NE & mid-Atl., U.S.
▬ Europe
▬ Australia
▬ New Zealand
▬ Other
▬ F
requ
ency
Probability density
Mean B/Btarget SD(target B/Btarget)
B/Btarget ratios
0 1 2 3 402468
1012
0.0
0.5
1.0
1.5Catch shares
0 1 2 3 402468
1012
0.0
0.5
1.0
1.5Partial catch shares
0 1 2 3 402468
1012
0.0
0.5
1.0
1.5Quota only
0 1 2 3 402468
1012
0.0
0.5
1.0
1.5Effort control
0 1 2 30
5
10
15
20
0
1
2Catch shares
0 1 2 30
5
10
15
20
0
1
2Partial catch shares
0 1 2 30
5
10
15
20
0
1
2Quota only
0 1 2 30
5
10
15
20
0
1
2Effort control
0 1 2 3 402468
1012
0.0
0.5
1.0
1.5Catch shares
0 1 2 3 402468
1012
0.0
0.5
1.0
1.5Partial catch shares
0 1 2 3 402468
1012
0.0
0.5
1.0
1.5Quota only
0 1 2 3 402468
1012
0.0
0.5
1.0
1.5Effort control
0 1 2 30
5
10
15
20
0
1
2Catch shares
0 1 2 30
5
10
15
20
0
1
2Partial catch shares
0 1 2 30
5
10
15
20
0
1
2Quota only
0 1 2 30
5
10
15
20
0
1
2Effort control
0 1 2 3 402468
1012
0.0
0.5
1.0
1.5Catch shares
0 1 2 3 402468
1012
0.0
0.5
1.0
1.5Partial catch shares
0 1 2 3 402468
1012
0.0
0.5
1.0
1.5Quota only
0 1 2 3 402468
1012
0.0
0.5
1.0
1.5Effort control
0 1 2 30
5
10
15
20
0
1
2Catch shares
0 1 2 30
5
10
15
20
0
1
2Partial catch shares
0 1 2 30
5
10
15
20
0
1
2Quota only
0 1 2 30
5
10
15
20
0
1
2Effort control
0 1 2 3 402468
1012
0.0
0.5
1.0
1.5Catch shares
0 1 2 3 402468
1012
0.0
0.5
1.0
1.5Partial catch shares
0 1 2 3 402468
1012
0.0
0.5
1.0
1.5Quota only
0 1 2 3 402468
1012
0.0
0.5
1.0
1.5Effort control
0 1 2 30
5
10
15
20
0
1
2Catch shares
0 1 2 30
5
10
15
20
0
1
2Partial catch shares
0 1 2 30
5
10
15
20
0
1
2Quota only
0 1 2 30
5
10
15
20
0
1
2Effort control
n = 67
n = 28
n = 82
n = 28
Catch share propensity scores
• Controls for non-random application of catch share “treatments”
• Logistic regression:
CS ~ Region + Habitat + avCatch + devYear + Lmax
• Use estimated coefficients to predict probability of each fishery
being under full catch shares during 2000–2004
• Use propensity scores as covariates in subsequent analyses