About this document
This is a prototype of an automatic report that documents how the user specified the operating model and their various justifications.
Introduction
Lobster fishery in the southern coast of Yogyakarta and Pacitan was utilizing using gillnet and trap (local: krendet) and mostly using and mostly of them are small-scale fishery. Describe the history and current status of the fishery, including fleets, sectors, vessel types and practices/gear by vessel type, landing ports, economics/markets, whether targeted/bycatch, other stocks caught in the fishery.
Describe the stock’s ecosystem functions, dependencies, and habitat types.
Provide all relevant reference materials, such as assessments, research, and other analysis.
Fishery Characteristics
Longevity
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Answered
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Very short-lived (5 < maximum age < 7)
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Short-lived (7 < maximum age < 10)
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Moderate life span (10 < maximum age < 20)
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Moderately long-lived (20 < maximum age < 40)
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Long-lived (40 < maximum age < 80)
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Very long-lived (80 < maximum age < 160)
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Justification
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No justification was provided
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Stock depletion
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Answered
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Crashed (D < 0.05)
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Very depleted (0.05 < D < 0.1)
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Depleted (0.1 < D < 0.15)
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Moderately depleted (0.15 < D < 0.3)
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Healthy (0.3 < D < 0.5)
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Underexploited (0.5 < D)
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Justification
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No justification was provided
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Resilence
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Answered
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Not resilient (steepness < 0.3)
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Low resilience (0.3 < steepness < 0.5)
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Moderate resilence (0.5 < steepness < 0.7)
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Resilient (0.7 < steepness < 0.9)
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Very Resilient (0.9 < steepness)
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Justification
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Low vulnerability (SealifeBase)
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Historical effort pattern
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Answered
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Stable
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Two-phase
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Boom-bust
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Gradual increases
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Stable, recent increases
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Stable, recent declines
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Justification
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According to DGCF statistic data 2001-2015.
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Inter-annual variability in historical effort
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Answered
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Not variable (less than 20% inter-annual change (IAC))
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Variable (maximum IAC between 20% to 50%)
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Highly variable (maximum IAC between 50% and 100%)
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Justification
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Based on DGCF statistical data 2001-2015
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Historical fishing efficiency changes
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Answered
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Declining by 2-3% pa (halves every 25-35 years)
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Declining by 1-2% pa (halves every 35-70 years)
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Stable -1% to 1% pa (may halve/double every 70 years)
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Increasing by 1-2% pa (doubles every 35-70 years)
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Increasing by 2-3% pa (doubles every 25-35 years)
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Justification
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No justification was provided
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Future fishing efficiency changes
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Answered
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Declining by 2-3% pa (halves every 25-35 years)
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Declining by 1-2% pa (halves every 35-70 years)
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Stable -1% to 1% pa (may halve/double every 70 years)
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Increasing by 1-2% pa (doubles every 35-70 years)
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Increasing by 2-3% pa (doubles every 25-35 years)
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Justification
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we assume that the fishing efficiency stable
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Length at maturity
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Answered
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Very small (0.4 < LM < 0.5)
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Small (0.5 < LM < 0.6)
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Moderate (0.6 < LM < 0.7)
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Moderate to large (0.7 < LM < 0.8)
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Large (0.8 < LM < 0.9)
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Justification
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Damora et al 2018
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Selectivity of small fish
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Answered
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Very small (0.1 < S < 0.2)
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Small (0.2 < S < 0.4)
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Half asymptotic length (0.4 < S < 0.6)
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Large (0.6 < S < 0.8)
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Very large (0.8 < S < 0.9)
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Justification
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Lc=53 mm (Damora et al 2018)
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Selectivity of large fish
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Answered
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Asymptotic selectivity (SL = 1)
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Declining selectivity with length (0.75 < SL < 1)
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Dome-shaped selectivity (0.25 < SL < 0.75)
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Strong dome-shaped selectivity (SL < 0.25)
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Justification
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No justification was provided
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Discard rate
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Answered
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Low (DR < 1%)
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Low - moderate (1% < DR < 10%)
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Moderate (10% < DR < 30%)
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Moderate - high (30% < DR < 50%)
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High (50% < DR < 70%)
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Justification
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No justification was provided
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Post-release mortality rate
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Answered
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Low (PRM < 5%)
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Low - moderate (5% < PRM < 25%)
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Moderate (25% < PRM < 50%)
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Moderate - high (50% < PRM < 75%)
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High (75% < PRM < 95%)
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Almost all die (95% < PRM < 100%)
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Justification
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No justification was provided
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Recruitment variability
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Answered
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Very low (less than 20% inter-annual changes (IAC))
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Low (max IAC of between 20% and 60%)
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Moderate (max IAC of between 60% and 120%)
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High (max IAC of between 120% and 180%)
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Very high (max IAC greater than 180%)
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Justification
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No justification was provided
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Size of an existing MPA
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Answered
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None
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Small (A < 5%)
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Small-moderate (5% < A < 10%)
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Moderate (10% < A < 20%)
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Large (20% < A < 30%)
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Very large (30% < A < 40%)
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Huge (40% < A < 50%)
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Justification
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No justification was provided
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Spatial mixing (movement) in/out of existing MPA
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Answered
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Very low (P < 1%)
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Low (1% < P < 5%)
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Moderate (5% < P < 10%)
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High (10% < P < 20%)
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Fully mixed
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Justification
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No justification was provided
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Size of a future potential MPA
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Answered
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None
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Small (A < 5%)
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Small-moderate (5% < A < 10%)
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Moderate (10% < A < 20%)
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Large (20% < A < 30%)
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Very large (30% < A < 40%)
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Huge (40% < A < 50%)
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Justification
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No justification was provided
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Spatial mixing (movement) in/out of future potential MPA
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Answered
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Very low (P < 1%)
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Low (1% < P < 5%)
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Moderate (5% < P < 10%)
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High (10% < P < 20%)
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Fully mixed
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Justification
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No justification was provided
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Initial stock depletion
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Answered
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Very low (0.1 < D1 < 0.15)
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Low (0.15 < D1 < 0.3)
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Moderate (0.3 < D < 0.5)
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High (0.5 < D1)
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Asymptotic unfished levels (D1 = 1)
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Justification
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No justification was provided
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Management Characteristics
Types of fishery management that are possible
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Answered
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TAC (Total Allowable Catch): a catch limit
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TAE (Total Allowable Effort): an effort limit
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Size limit
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Time-area closures (a marine reserve)
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Justification
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1. TAC=776 mt per year; minimum legal size: CL= >8 cm, W= > 200 g
2. Minimum legal size start on 2015
3. Directorate General of Surveillance and Agency of Fish Quarantine had mandate to monitor the size limit of catch. This regulation quite easy to apply for the export trading since they need a certified document but for the local trading it was unmonitored.
4. Describe and reference any legal/policy requirements for management, monitoring and enforcement.
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TAC offset: consistent overages/underages
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Answered
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Large underages (40% - 70% of recommended)
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Underages (70% - 90% of recommended)
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Slight underages (90% - 100% of recommended)
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Taken exactly (95% - 105% of recommended)
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Slight overages (100% - 110% of recommended)
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Overages (110% - 150% of recommended)
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Large overages (150% - 200% of recommended)
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Justification
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No justification was provided
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TAC implementation variability
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Answered
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Constant (V < 1%)
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Not variable (1% < V < 5%)
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Low variability (5% < V < 10%)
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Variable (10% < V < 20%)
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Highly variable (20% < V < 40%)
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Justification
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No justification was provided
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TAE offset: consistent overages/underages
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Answered
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Large underages (40% - 70% of recommended)
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Underages (70% - 90% of recommended)
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Slight underages (90% - 100% of recommended)
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Taken exactly (95% - 105% of recommended)
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Slight overages (100% - 110% of recommended)
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Overages (110% - 150% of recommended)
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Large overages (150% - 200% of recommended)
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Justification
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No justification was provided
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TAE implementation variability
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Answered
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Constant (V < 1%)
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Not variable (1% < V < 5%)
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Low variability (5% < V < 10%)
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Variable (10% < V < 20%)
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Highly variable (20% < V < 40%)
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Justification
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No justification was provided
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Size limit offset: consistent overages/underages
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Answered
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Much smaller (40% - 70% of recommended)
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Smaller (70% - 90% of recommended)
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Slightly smaller (90% - 100% of recommended)
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Taken exactly (95% - 105% of recommended)
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Slightly larger (100% - 110% of recommended)
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Larger (110% - 150% of recommended)
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Much larger (150% - 200% of recommended)
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Justification
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No justification was provided
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Size limit implementation variability
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Answered
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Constant (V < 1%)
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Not variable (1% < V < 5%)
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Low variability (5% < V < 10%)
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Variable (10% < V < 20%)
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Highly variable (20% < V < 40%)
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Justification
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No justification was provided
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Data Characteristics
Available data types
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Answered
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Historical annual catches (from unfished)
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Recent annual catches (at least 5 recent years)
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Historical relative abundance index (from unfished)
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Recent relative abundance index (at least 5 recent years)
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Fishing effort
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Size composition (length samples)
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Age composition (age samples)
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Growth (growth parameters)
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Absolute biomass survey
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Justification
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1. Provide the time series (specify years, if possible) that exist for catch, effort, and CPUE/abundance indices.
2. Describe how these data collected (e.g., log books, dealer reporting, observers).
3. Describe what types of sampling programs and methodologies exist for data collection, including the time-series of available sampling data and quality.
4. Describe all sources of uncertainty in the status, biology, life history and data sources of the fishery. Include links to documentation, reports.
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Catch reporting bias
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Answered
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Strong under-reporting (30% - 50%)
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Under-reporting (10% - 30%)
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Slight under-reporting (0% - 10%)
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Reported accurately (+/- 5%)
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Slight over-reporting (less than 10%)
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Justification
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No justification was provided
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Hyperstability in indices
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Answered
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Strong hyperdepletion (2 < Beta < 3)
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Hyperdepletion (1.25 < Beta < 2)
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Proportional (0.8 < Beta < 1.25)
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Hyperstability (0.5 < Beta < 0.8)
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Strong hyperstability (0.33 < Beta < 0.5)
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Justification
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No justification was provided
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Available data types
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Answered
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Perfect
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Good (accurate and precise)
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Data moderate (some what inaccurate and imprecise)
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Data poor (inaccurate and imprecise)
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Justification
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No justification was provided
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Version Notes
The package is subject to ongoing testing. If you find a bug or a problem please send a report to t.carruthers@oceans.ubc.ca so that it can be fixed!
tcar_-2019-11-26-10:25:40
Open Source, GPL-2 2019