fisheries management the practice - pelagicos · • population declines population size (biomass)...
TRANSCRIPT
Fisheries Management – The Practice
Stock Assessment
INPUTS:
OUTPUTS:
FISHING
Effort (fishing vessels, fishing hours)
Size / Age
Biomass
Fishing Mortality
Catch
CPUE
Fishery Management
INPUTS:
OUTPUTS: Fish Jobs, Profits
FISHING
Effort (& Technology)(Gas, Bait, Gear, Subsidies)
Externalities
Bycatch
Habitat Impacts
Are Sustainable Fisheries Achievable ?
(Chapter 15 - Hilborn 2005)
Economic Social
- Resource Ownership - Management Institutions
(property rights / traditions) (assessment, enforcement)
- Subsidies (gas / ice) - Pride / Ownership
Other Aspects of Sustainability:
Economic Basis / Social Basis
Principle 1. MSY curve
Result:
MSY occurs at B = K / 2
Population Size (Biomass)
Popula
tion C
han
ge
(dN
/ d
t)
0 KK / 2
Management Implications:
- Monitor B and vary
catches accordingly
- B msy: Maintain B at K/2
- F msy: Regulate Fishing
Mortality (% B)
Spawner – Recruit Relationships
The working conceptual model
for Bering Sea walleye pollock
is a survival gauntlet model
representing the successive
conditions or switches that must
be realized for the fish to survive.
Each switch has a conditional
probability for survival. The
probability is subject to spatial
and temporal variability in
physical / biological conditions...
and may be density-dependent.
Switch Model
(Quinn and Niebauer 1995)
Switch Model
Density-dependent and Density-independent Factors:
The “feeding larval switch" is dependent
on water temperature, which varies in
space and time. Switch acts on individuals
(density-dependent) and entire cohorts
(density-independent) (e.g., Starvation).
The “juvenile survivorship switch” is
influenced by density dependent
factors related to both the abundance
of the juvenile and the adult fish
(e.g., Cannibalism)
Spawner – Recruit Relationship
Conceptual Model of the Relationships Between Pollock
Recruitment and Biophysical Correlates in Southeast Bering Sea
Moderate density
dependence between the
spawning stock biomass
and the recruitment, with
reduced recruit survival at
high adult abundance
Spawner – recruit curve
suggests other driving
mechanisms because
several points are well
above and below the fitted
relationship.
Points way above the line
(1978, 1982, 1989)
are warm-water years(Bailey et al. 1996)
Marine Population Dynamics
(Chapter 4 – Levitan and McGovern 2005)
The Allee Effect:
“Decreases in population density result in
decreased per capita population growth”
Specially Exciting Examples:
Broadcast Spawning (Density) –> Abalone
Nursery Habitats (Cues / Refuges) –> Urchins
White Abalone (Haliotis sorenseni) Allee Effect
White Abalone Restoration:
On 2001, biologists placed 3 F and 2 M in separate
containers in the lab and added hydrogen peroxide.
Two hours later, 2 females spawned about 3 million
eggs, followed by release of sperm from one male.
Biologists mixed the eggs and sperm and obtained a
95 percent fertilization rate.
Once occurring in high
densities (1 per m square
of suitable habitat), recent
surveys show densities of
1-3 per hectare (10000
square m) in historical core
habitat (Channel Islands) (NMFS)
White Abalone - Harvesting and Decline
Surveys in Southern
California show
a 99% reduction in
density of white
abalone since 1970s
(Rogers-Bennett et al. 2002)
White Abalone - Recovery Project
Populations significantly declined in 1970s as the result of commercial
fishing and in 2001 became first marine invertebrate to be listed as an
endangered species. A recovery plan was developed by NOAA NMFS.
Recovery steps:
• prevent harvest, protect habitat, and survey wild populations
• propagate species in captivity
with goal of outplanting
larvae, juveniles, and adults
into their native range
Captive propagation hindered
by high mortality from
bacterial withering syndrome.
Allee EffectBelow minimum abundance threshold:
• There is no recruitment
• Population declines
Population Size
(Biomass)
Rec
ruit
men
t
0 KT
Threshold
Important in group living
animals, such as schooling
fishes. It may cause a
population to collapse if
harvesting pressure is too
strong, as has happened for
some pelagic fisheries.
(Courchamp et al. 1999)
CPUE f (B, E)
Population Size (Time T)
0 High
Cat
ch (T
ime
T)
0
H
igh
Principle 2. CPUE proportional to Biomass
In some instances, CPUE is not a good metric of Biomass
Limitations of CPUE
Other inputs go into fishery, and influence the ability to catch fish:
- Vessel size
- Vessel Type
(processors)
- Depth finders
- Thermistors
- Fish finders
- Other Technologies:
spotter planes, satellites
LimitationsIn some instances, CPUE is not a good metric of Biomass
Example: Stocks with high degree of aggregation
Fish density: 1 per sq km
In normal year:
Stock: 30 Area: 30
Catch 10
Effort 10
CPUE = 1
LimitationsIn some instances, CPUE is not a good metric of Biomass
Example: Stocks with high degree of aggregation
Fish density: 2 per sq km
In restricted habitat year:
Stock: 30 Area: 15
Catch 20
Effort 10
CPUE = 2
LimitationsIn some instances, CPUE is not a good metric of Biomass
Example: Stocks with high degree of aggregation
Fish density: 0.5 per sq km
In expanded habitat year:
Stock: 30 Area: 60
Catch 5
Effort 10
CPUE = 0.5
LimitationsIn some instances, CPUE is not a good metric of Biomass
Example: Stocks with high degree of aggregation
Fish density: 1.5 per sq km
In poor year:
Stock: 15 Area: 10
Catch 15
Effort 10
CPUE = 1.5
LimitationsIn some instances, CPUE is not a good metric of Biomass
Example: Stocks with very restricted range / low motility
LimitationsYear 1: Catch 10, Effort 10 CPUE = 1 B = 25
LimitationsYear 2: Catch 10, Effort 10 CPUE = 1 B = 15
LimitationsYear 3: Catch 5, Effort 10 CPUE = 0.5 B = 5
LimitationsYear 4: Catch 0, Effort 10 CPUE = 0 B = 0
There are over 100,000 seamounts worldwide. Shallow seamounts
(height: 1000 – 3000 m) marked in red, deeper seamounts are in blue.
© Seung-Sep Kim / Chungnam National University
A seamount is an independent submarine mountain rising from
seafloor to at least 1,000 m above the seafloor.
Depending on the depth of the summit, seamounts can interact
with epi / meso – pelagic fish and squid species.
Is this a Realistic Scenario?Trawling on Seamounts: Pitcher et al. 2010
Technological advances have
deepened trawling impacts
Why Such a Slow Recovery ?
Habitat Destruction Population Dynamics
Are Sustainable Fisheries Achievable ?
(Chapter 15 - Hilborn 2005)
Vulnerability Rapid Population Growth
- Size: Maturity vs Recruitment - Fecundity
- Behavior: Schooling / Aggregation - Longevity (Age Maturity)
- Refugia: MPAs / habitat
Types of Biological Traits that
Support Sustainable Fishing:
Low Vulnerability / High Recovery
Marine scientists Make Call For
Seamount Closures For Research
Morato
et al. 2010
Global Fisheries & Marine Conservation:
Is Coexistance Possible?(Chapter 11 - Preikshot & Pauly 2005)
Injecting conservation-
oriented thinking into
fisheries management
implies strong emphasis
on no-take MPAs.
MPAs can buffer exploited
populations from effects
of environmental variation.
Global Fisheries & Marine Conservation:
Is Coexistance Possible?(Chapter 11 - Preikshot & Pauly 2005)
The socio-economical and ecological
implications / impacts of fishing
depend on the “scale” of the fisheries
3. Other Unwanted Consequences
The definition of
bycatch, as stated
in Magnuson-Stevens
Fishery Conservation
and Management Act:
NOAA Fisheries
uses the following
definition for its
National Bycatch
Strategy and bycatch
reduction efforts:
Two Approaches to Marine Conservation
(Rolf & Zacharias 2011)
Traditional: Novel:
- Species Focus - Ecosystem Focus
- Single species - Multi-species
- Fishery controls - Managing spaces
References
Bailey, K.M., R.D. Brodeur, and A.B. Hollowed. 1996.
Cohort survival patterns of walleye pollock (Theragra
chalcogramma) in Shelikof Strait, Alaska: A critical factor
analysis. Fish. Oceanogr. 5 (Suppl. 1): 179-188.
Quinn, T.J., II. and H.J. Niebauer. 1995. Relation of eastern
Bering Sea walleye pollock (Theragra chalcogramma)
recruitment to environmental and oceanographic variables.
pp. 497-507. In: Beamish, R.J. [ed], Climate Change and
Northern Fish Populations, Can. Spec. Publ. Fish. Aquat. Sci.
121, 739p.
Courchamp, F., Clutton-Brock, T., and Grenfell, B. 1999.
Inverse Density Dependence and the Allee Effect
Trends in Ecology & Evolution 14(10): 405-410.
North Atlantic Swordfish
Evidence of Shifting Baselines?
http://firms.fao.org/
firms/resource/10023/
The average North Atlantic
swordfish caught in the 1960s
weighed 300 pounds. By the late
1990s, the average was 100
pounds (NOAA - ICCAT).
History of Swordfish Fishery
1920s – Recreational fishery begins, primarily from Massachusetts to New York
1960s – Longline gear introduced in commercial fishery, replaces harpoons
1966 – International Convention for Conservation of Atlantic Tunas signed
creating International Commission for Conservation of Atlantic Tunas (ICCAT)
1970s – Recreational fishery develops in Florida
1990 – ICCAT passes first recommendation on swordfish, calling for harvest
reductions of undersized North Atlantic swordfish
1999 – ICCAT establishes 10-year rebuilding program
Managing Sliding Fisheries
Empirical Observations Modelling Efforts
Catch Data
(logbooks / observers)
Fishery Surveys
Stock-Recruitment Data
((NOAA Fisheries)
Recent History of Swordfish Management
2000/2001 – NOAA Fisheries implements several large time and area closures
for pelagic longline fishing to reduce bycatch of juvenile swordfish and billfish
2002 – Stock assessment determines stock biomass is 94 % of
level needed for maximum sustainable yield (BMSY)
2004 – NOAA Fisheries Service implements bycatch reduction
measures in commercial fishery (Goal: reduce take of small-size fish)
2006 – Stock assessment estimates that biomass approximately 99 % of BMSY
2007 – U.S. regulations establish baseline quotas and develop methods for
catch reporting of recreational fishers (Goal: do not overshoot the quota)
2009 – North Atlantic swordfish is considered fully rebuilt
Managing Sliding Fisheries
Empirical Observations Modelling Efforts
Catch Data
(logbooks / observers)
Fishery Surveys
Stock-Recruitment Data
((NOAA Fisheries)
Swordfish Boycott
Is there a problem?
Swordfish stocks in trouble
- starting in late 1990s.
What actions were taken?
U.S. NMFS set fishing limits, while
conservation groups organized swordfish
boycott by chefs and restaurants in 1998.
Did they succeed?
Boycotters claimed victory, claiming it
showed the power of market forces, but
fisheries managers disagree, saying
recovery was response to actions
implemented years before the boycott.
Swordfish Catch
2017SWO ATL Stock Assessment
www.iccat.int/Documents/Meetings/Docs/2017_ATL_SWO_ASS_REP_ENG.pdf
Abundance and Fishing Mortality
SCRS/2009/016 - SWO ATL Stock Assessment
www.iccat.int/Documents/Meetings/Docs/2009_SWO_ASSESS_ENG.pdf
F: Fishing Mortality (0 to 1)B: Biomass
(combined weight
of fish in population)
Swordfish Status
2017SWO ATL Stock Assessment
www.iccat.int/Documents/Meetings/Docs/2017_ATL_SWO_ASS_REP_ENG.pdf
Red Box:
Stock is overfished and
being overfished
Green Box:
Stock is not overfished
and not being overfished
Yellow
#1
Yellow
#2
What is going on in the
two yellow boxes?
References
FAO's report "Review of the State of World Marine Fisheries
Resources", tables D1-D17,
ftp://ftp.fao.org/docrep/fao/007/y5852e/Y5852E23.pdf
http://www.nmfs.noaa.gov/sfa/statusoffisheries/