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Technological change, environmental variability, and fish stock collapses. Rögnvaldur Hannesson Norges Handelshøyskole. Points to be raised. Technical change increases catch per unit of effort (cpue) It may also make cpue less sensitive to stock size - PowerPoint PPT Presentation
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Technological change, environmental variability, and fish
stock collapses
Rögnvaldur Hannesson
Norges Handelshøyskole
Points to be raised
• Technical change increases catch per unit of effort (cpue)
• It may also make cpue less sensitive to stock size
• If cpue used as stock index, this will make stock assessment overoptimistic
• With environmental variability, this may precipitate stock collapses
The Norwegian winter herring fishery as a case in point
• Two major technical changes in the 1960s
• Power block– Mechanical hauling of nets– Bigger nets, bigger boats
• Sonar– Possible to see fish below the surface
• CPUE increased and may have become less dependent on stock
Gear a b g Constant R2 D-W
Land seine(1909-1959)
.8214(3.89**)
-.4959(1.17)
.0229(1.02)
3.2389(0.96)
0.4854 1.7589
Gill nets(1909-1968)
1.0905(10.05**)
.6362(4.61**)
.0334(9.02**)
-9.6377(12.34**)
0.9101 1.1964
Purse seine(1925-1971)
.6538(2.52*)
.4220(2.99**)
.0411(3.15**)
-3.6188(2.39*)
0.6000 1.0989
ln ln ln lnY A a E b S gt b insignificant for land seine, 0 < b < 1 for gill nets & purse seine.Lopping off the years after 1964 raises b and the t-value, butlopping off still more years in the 1950s & 60s lowers b andmakes it insignificant.Shaky evidence that b fell after 1964, may have been low allalong.a 1
Gear a b Constant R2
Land seine(1909-1959)
1.1624(3.12**)
.1077(0.08)
.0457(0.24)
0.1790
Gill nets(1909-1968)
.780956(4.31**)
1.187175(4.09**)
.0230722(0.36)
0.6204
Purse seine(1925-1971)
-.1531(0.48)
1.0871(3.60**)
.1214(1.10)
0.2496
ln ln lnY g a E b S b 1 for gill nets and purse seine, b 0 for land seine.a 0 for purse seine.
Purse seine
0
5000
10000
15000
20000
25000
1909 1919 1929 1939 1949 1959 1969
Sto
ck (
'000
mt)
00.20.40.60.811.21.41.6
Stock
Catch/man
Gill nets
0
5000
10000
15000
20000
25000
1909 1919 1929 1939 1949 1959 1969
Sto
ck (
'000
mt)
0
0.1
0.2
0.3
0.4
0.5
0.6
Stock
Catch/man
Land seine
0
5000
10000
15000
20000
25000
1909 1919 1929 1939 1949 1959 1969
Sto
ck (
'000
mt)
0
0.5
1
1.5
2
2.5
3
Stock
Catch/man
There does not seem to be astrong correlation betweenstock and cpue for purseseine even before 1964, butmore so for gill nets.
Catch per fisherman (logs, share of stock)
0
2
4
6
8
1019
09
1914
1919
1924
1929
1934
1939
1944
1949
1954
1959
1964
1969
Gill nets
Purse seine
Trawl
Define /ln ln 1 lnY E
x A b SS
ln lnln 1
dx d A db d SS b
dt dt dt dt
Technical progress & fall in b: firstterm > 0
b = 1, x constantTechnical progress,A risesS was falling after ’65,falling b may havecontributed to rising x
Stock
0
5000
10000
15000
20000
25000
1925
1928
1931
1934
1937
1940
1943
1946
1949
1952
1955
1958
1961
1964
1967
The breakthrough of the purse seine in thewinter herring fishery
Indices of catch per fisherman and boat (log, share of stock) and share of purse seiners with power block
0
0.2
0.4
0.6
0.8
1
1955
1957
1959
1961
1963
1965
1967
1969
1971
Seiners
Catch/man
Catch/boat
-3000
-2000
-1000
0
1000
2000
3000
4000
0 5000 10000 15000 20000
S
G
21 1 1 1t t t t tG X S aS bS
G surplus growth, S stock left after fishing, X stock beforefishing
ln ln ttD S
ˆt t tD G G G observed G estimated
tt
t
DU
e S environmental disturbance
0 1 1 ...t t t n t nV U a aU a U random environmentaldisturbance
a0 a1 R2
0.0050(0.03)
0.4578(4.14**)
0.2254
Further autocorrelation terms insignificant
0
24
6
8
1012
14
16
1.95
2.07
2.19
2.31
2.43
2.55
2.67
ln(v+10)
Fre
qu
ency
0
24
6
8
1012
14
16
Frequency
Normal
Transformed V lognormally distributed
0
5000
10000
15000
20000
25000
30000
0 10 20 30 40 50 60 70 80 90 100
Time
Sto
ck (
'000
to
ns)
Sample paths of stock with no fishing, Note possibilities oftrendless minor fluctuations, quasi-regular major cycles,and total collapse.
The Bohuslän herring collapsed in the 1500s, the Balticherring a bit earlier.
Stock development with fishing
• Stock managed by target escapement with S = Smsy
• X forecast by cpue as index (implies b = 1)• Technical change happens in year 10
– Once and for all rise in A– Once and for all fall in b and simultaneous rise in A
• These effects never discovered– Managers continue using cpue as if nothing
happened
0
2000
4000
6000
8000
10000
12000
14000
0 10 20 30 40 50 60 70 80 90 100
Time
Sto
ck (
'000
to
ns)
No change
Change in A
Change in b
0
2000
4000
6000
8000
10000
12000
14000
0 10 20 30 40 50 60 70 80 90 100
Time
Sto
ck (
'000
to
ns)
No change
Change in A
Change in b
0
2000
4000
6000
8000
10000
12000
14000
0 10 20 30 40 50 60 70 80 90 100
Time
Sto
ck (
'000
to
ns)
No change
Change in A
Change in b
Change in b clearly moredangerous than change inA only, but collapse can alsobe precipitated by the latterif learning is slow.