Transcript sex small

458
Policies and Their Evaluation
Fish 458, Lecture 22
Implementation Uncertainty
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Implementation uncertainty - how what
happens in reality relates to an intended
management action.
It can be a very major effect (e.g. when catch
limits are ignored if they are small).
We now consider a range of typical policy
types and how implementation uncertainty
can be modeled for each.
Catch limit Regulation-I
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Many fisheries are managed by means of the
simple decision rule:
C  a  b Stock Size
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Implementation issues:
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Low catch limits may be unacceptable for socioeconomic reasons.
(Very) high catch limits may be unacceptable due
to lack of catching / processing capacity.
Large changes in catch limit are highly
undesirable.
Discarding / high-grading will / may occur.
Catch limit Regulation-II
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Allowing for the first three sources of
implementation uncertainty, the decision rule
becomes:
Ct*  a  b Stock Size
(1   ) Ct*1

**
Ct  (1   )Ct*1
 *
Ct
Ct  min(Cmax , max(Cmin , Ct** ))
if Ct*  (1   )Ct*1
if Ct*  (1   )Ct*1
otherwise
Catch limit Regulation-III
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To allow for high-grading / discarding, you
define two vulnerability functions:
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that for the total catch
that for the landed catch
N t 1,a 1  N t ,a s (1  vatot ut )
Ctland   wa N t ,a valand ut ;
a
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Ctdisc   wa N t ,a (vatot  valand ) ut
a
The catch limit set by the decision rule
determines Ctland which in turn determines Ctdisc.
Catch limit Regulation-IV
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Notes:
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Is often worthwhile allowing for some random
error between the catch limit and the landed
catch.
The vulnerability for the landed catch will be less
than that for the total catch for all ages if
discarding occurs for reasons other than size (e.g.
marketability).
Estimating the discard vulnerability function
requires data on the discarded component of the
catch (this is often not easy to get).
Example Policies based on
catch limits.
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Cape hake: based moving the resource to
90% of BMSY.
Pacific halibut: 35% of the vulnerable
biomass.
Australian sharks: based on having an 80%
probability of being above the 1996 stock
size.
Canadian groundfish: based on a fishing
mortality rate of F0.1.
West coast groundfish: set to move the
population towards BMSY.
Management Policy for West Coast
Groundfish
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Conduct a stock assessment (generally based on an
age-structured model) and apply the control rule:
0.8
0.7
0.6
Catch
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0.5
0.4
40:10 reduction
0.3
0.2
0.1
Overfished
0
0.00
0.25
0.50
Relative Biomass
0.75
Fishing Effort Policies-I
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Gear restrictions (gear size, days at
sea) are one of the most common
forms of management:
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Australian northern prawn fishery:
headrope length is chosen to achieve a
fishing mortality of FMSY.
Fishing Effort Policies-II
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Implementation issues:
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The link between fishing effort and fishing
mortality is often very weak.
Ignore “effort creep” at your peril – fishers modify
their behavior to maximize their returns. Even
reducing the number of fishers is expected to
increase the average fishing power of the fleet!
Enforcement of fishing effort controls is almost as
difficult as enforcement of catch limits!
Fishing efficiency in Australia’s
Northern prawn fishery!
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5
1993 - the reference year
3
2
5% per annum
1
Cumulative Fishing Power
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Variable
Constant
1970
1975
1980
1985
Year
1990
1995
2000
Size Limits
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Size limits are commonly employed in
invertebrate and sport fisheries (e.g.
the size at first reproduction), but:
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Success depends on released animals
surviving.
Usually it is not possible to choose a gear
type to avoid catching small animals –
particularly in multi-species fisheries.
Sex-Specific Harvesting-I
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Basic idea: take males as sperm limitation is
not believed to be a major problem for most
species.
Used primarily when animals are harvested in
(relatively) small numbers or selectively for
sex or are likely to survive when returned to
the water alive.
There are several examples of male-only
lobster and crab fisheries. However, Alaskan
crab fisheries have collapsed despite being
male-only fisheries.
Sex-specific Harvesting-II
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When evaluating polices consider the
sex ratio of the catches:
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Minke whales – females are 60+% of the
catch as they are closer to the ice-edge.
Sex changing fishes pose a particular
problem – the large animals may all be
males or females. Maximum size limits may
help in cases like this.
Spatial Regulation-I
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Spatial management strategies typically involve a
system of open and closed areas, possibly with
separate catch limits for each area. This could be
combined with periodic / rotational harvesting.
Spatial regulation is relatively robust to errors in
stock assessments (often estimates of biomass may
be in error by 100% and occasionally much more).
Some species may require “near pristine densities”:
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Aggregations to spawn.
Probability of sex change in sex-changing species.
Spatial Regulation-II
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Issues to consider:
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Implications of concentrating harvesting in a small
area (gear competition, lack of access to
sedentary animals).
Violation of the closed status of some areas.
Mis-reporting of catches spatially.
The extent of movement of adults and larvae.
Fisheries often operate by finding and fishing
aggregations because this maximizes catch rates.
General Policy Guidelines-I
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Keep the biomass above BMSY:
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Less risky to the target species.
Less impact on the ecosystem (although this is
often not clear / provable).
Greater economic yields are likely given that catch
rates will be higher.
Note that moving to BMSY may lead to substantial
short-term (negative) consequences. These need
to be considered along with the benefits of being
at or above BMSY. For this reason, yield-per-recruit
type analyses may be questionable.
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General Policy Guidelines-II
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Employ spatial management to spread the
catch spatially. Avoid the problems due to
unknown stock structuring:
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northern cod;
Icelandic fin whales.
Spatial structuring of a harvesting operation
may prevent catch rates providing
information about changes in stock size
because the harvesters will try to move to
keep catch rates high even if stock size is
declining.
Current Controversies-I
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No-take zones:
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These have clear biodiversity / ecosystem benefits
(more species, higher densities of target species,
larger individual sizes).
It is not clear that no-take zones will, however,
lead to increased yields, except when the fishery
is essentially unmanaged.
These depend on the success of enforcement
(many small zones versus few large ones).
Current Controversies-II
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Ecosystem management:
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What does it mean?
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Tropic interactions, ecosystem functioning, reducing
bycatch (of megafauna).
Can it be based on models? – are the current
generation of ecosystem models too complicated
with too many parameters to make reliable
predictions?
What performance measures should we use to
evaluate specific policies (e.g. how to evaluate
species of no commercial value)?