SlideShare a Scribd company logo
1 of 7
Management Plan Evaluation of
western horse mackerel
José A. A. De Oliveira, Beatriz A. Roel
HCR and MSE
• Objective:
– to find an HCR that would meet ICES criteria
for sustainability and precaution.
• Method:
– modelled 100 populations w/ different stock-
recruit relationships to tease apart what is
causing the long recovery times and high risk
of collapse.
MSE and BB
• “simple” implementation of an MSE using
R
• BB:
– speed up run time
– Simplify adjusting parameters
– Etc.
• Operating Model
 Conditioned on WGWIDE 2014 assessment
 Uncertainty based on variance-covariance matrix
 Stock-recruit modelling:
o Three forms (Bev-Holt, Ricker, Hockeystick)
o Resampled residuals
o Serial correlation included
o Recruitment spikes included
• Reference points (WKMSYREF3)
 Long-term simulations (>100 years)
• HCR
 Model-free (Eggs) and model-based (SSB)
 Medium-term simulations (50 years)
 Include protection rule
Management Plan Evaluation
Conclusions
• Given assessment uncertainty and the
status of the population at the start of
projections, a suitable HCR could not be
identified
Trade-offs: risk vs. ave catch
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0 20 40 60 80 100 120 140 160 180
aveP(SSB<Blim)
med (ave Catch)
Years 2055-2064
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0 20 40 60 80 100 120 140 160
aveP(SSB<Blim)
med (ave Catch)
Years 2015-2034
No Catch
Current HCR
Egg: g=1
Egg: g=2
Egg: g=3
SSB: g=1
SSB: g=2
SSB: g=3
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0 20 40 60 80 100 120 140 160
aveP(SSB<Blim)
med (ave Catch)
Years 2035-2054
• Based on the existing information on western horse mackerel, catches above
100 000 t cannot be sustained without occasional high recruitment events (spikes).
• Even under no fishing, risk 1 ≤ 5% is achieved only during the final years of a 50-year
projection, and therefore, under current conditions and assuming the already-set
2014-2016 TAC/advice levels are fully adhered to, there is no HCR that will meet
this risk criterion in the short- to medium-term.
• Given the precautionary criterion of risk 1 ≤ 5%, the current HCR cannot be
considered precautionary in the short- medium- or long-term.
• The current HCR associated with a protection rule activated at low stock size is
precautionary only in the long term.
• Egg HCRs perform best in terms of minimising risk 1 and maximising average catch
by setting the egg threshold to around 1 000×1015 eggs and applying a rapid
reduction below this threshold (𝑔 ≥ 2).
• For the options tested, Egg HCRs outperform SSB HCRs in terms of risk 1 and
average catch in the long term (final years of a 50-year projection).
• Without a mechanism for stabilising catch, SSB HCRs currently lead to more variable
catches than Egg HCRs, with values of 𝛼 beyond 0.1 leading to markedly poorer
performance in terms of risk 1 and average catch.
Conclusions

More Related Content

Similar to Management plan evaluation of western horse mackerel

External_Validation_Prediction_Models
External_Validation_Prediction_ModelsExternal_Validation_Prediction_Models
External_Validation_Prediction_ModelsEoin Gray
 
Genetics and genomic approaches for sustainable dairy cattle improvement in s...
Genetics and genomic approaches for sustainable dairy cattle improvement in s...Genetics and genomic approaches for sustainable dairy cattle improvement in s...
Genetics and genomic approaches for sustainable dairy cattle improvement in s...ILRI
 
Genetics and genomic approaches for sustainable dairy cattle improvement
Genetics and genomic approaches for sustainable dairy cattle improvementGenetics and genomic approaches for sustainable dairy cattle improvement
Genetics and genomic approaches for sustainable dairy cattle improvementILRI
 
Optimized Staffing with variable demand
Optimized Staffing with variable demandOptimized Staffing with variable demand
Optimized Staffing with variable demandAlexander Kolker
 
Financial Modeling of the Equity Market
Financial Modeling of the Equity MarketFinancial Modeling of the Equity Market
Financial Modeling of the Equity MarketEileen Rodriguez
 

Similar to Management plan evaluation of western horse mackerel (8)

Feed Planning for Sheep Farmer
Feed Planning for Sheep FarmerFeed Planning for Sheep Farmer
Feed Planning for Sheep Farmer
 
External_Validation_Prediction_Models
External_Validation_Prediction_ModelsExternal_Validation_Prediction_Models
External_Validation_Prediction_Models
 
Selection tools of buffalos.
Selection tools of buffalos.Selection tools of buffalos.
Selection tools of buffalos.
 
Genetics and genomic approaches for sustainable dairy cattle improvement in s...
Genetics and genomic approaches for sustainable dairy cattle improvement in s...Genetics and genomic approaches for sustainable dairy cattle improvement in s...
Genetics and genomic approaches for sustainable dairy cattle improvement in s...
 
Genetics and genomic approaches for sustainable dairy cattle improvement
Genetics and genomic approaches for sustainable dairy cattle improvementGenetics and genomic approaches for sustainable dairy cattle improvement
Genetics and genomic approaches for sustainable dairy cattle improvement
 
Optimized Staffing with variable demand
Optimized Staffing with variable demandOptimized Staffing with variable demand
Optimized Staffing with variable demand
 
Value at Risk
Value at RiskValue at Risk
Value at Risk
 
Financial Modeling of the Equity Market
Financial Modeling of the Equity MarketFinancial Modeling of the Equity Market
Financial Modeling of the Equity Market
 

More from Blue BRIDGE

PerformFISH: Consumer Driven Production - Integrating Innovative Approaches f...
PerformFISH: Consumer Driven Production - Integrating Innovative Approaches f...PerformFISH: Consumer Driven Production - Integrating Innovative Approaches f...
PerformFISH: Consumer Driven Production - Integrating Innovative Approaches f...Blue BRIDGE
 
BlueBRIDGE supporting education
BlueBRIDGE supporting educationBlueBRIDGE supporting education
BlueBRIDGE supporting educationBlue BRIDGE
 
LME: LEARN & IOC Capacity Building Activities
LME: LEARN & IOC Capacity Building ActivitiesLME: LEARN & IOC Capacity Building Activities
LME: LEARN & IOC Capacity Building ActivitiesBlue BRIDGE
 
Machine Learning methods to estimate the performance of aquafarms
Machine Learning methods to estimate the performance of aquafarms Machine Learning methods to estimate the performance of aquafarms
Machine Learning methods to estimate the performance of aquafarms Blue BRIDGE
 
Environmental observation data to detect aquaculture structures: merging Cope...
Environmental observation data to detect aquaculture structures: merging Cope...Environmental observation data to detect aquaculture structures: merging Cope...
Environmental observation data to detect aquaculture structures: merging Cope...Blue BRIDGE
 
Application of Earth Observation (EO) Data for Detection, Characterization an...
Application of Earth Observation (EO) Data for Detection, Characterization an...Application of Earth Observation (EO) Data for Detection, Characterization an...
Application of Earth Observation (EO) Data for Detection, Characterization an...Blue BRIDGE
 
Capacity building, validation and repeatability
Capacity building, validation and repeatabilityCapacity building, validation and repeatability
Capacity building, validation and repeatabilityBlue BRIDGE
 
Fostering global data management with public tuna fisheries data
Fostering global data management with public tuna fisheries dataFostering global data management with public tuna fisheries data
Fostering global data management with public tuna fisheries dataBlue BRIDGE
 
Understanding biodiversity features in marine protected areas
Understanding biodiversity features in marine protected areasUnderstanding biodiversity features in marine protected areas
Understanding biodiversity features in marine protected areasBlue BRIDGE
 
Panel discussion on Global Repositories of Merged Public Data
Panel discussion on Global Repositories of Merged Public DataPanel discussion on Global Repositories of Merged Public Data
Panel discussion on Global Repositories of Merged Public DataBlue BRIDGE
 
Invasive species and climate change
Invasive species and climate changeInvasive species and climate change
Invasive species and climate changeBlue BRIDGE
 
The BIG picture - Advanced data visualization for SDG, basic stock assessment...
The BIG picture - Advanced data visualization for SDG, basic stock assessment...The BIG picture - Advanced data visualization for SDG, basic stock assessment...
The BIG picture - Advanced data visualization for SDG, basic stock assessment...Blue BRIDGE
 
Global Record of Stocks and Fisheries (GRFS)
Global Record of Stocks and Fisheries (GRFS)Global Record of Stocks and Fisheries (GRFS)
Global Record of Stocks and Fisheries (GRFS)Blue BRIDGE
 
Projecting global fish stocks and catches up to 2100
Projecting global fish stocks and catches up to 2100Projecting global fish stocks and catches up to 2100
Projecting global fish stocks and catches up to 2100Blue BRIDGE
 
BlueBRIDGE: Major Achievements & future vision
BlueBRIDGE: Major Achievements & future visionBlueBRIDGE: Major Achievements & future vision
BlueBRIDGE: Major Achievements & future visionBlue BRIDGE
 
Managing tuna fisheries data at a global scale: the Tuna Atlas VRE
Managing tuna fisheries data at a global scale: the Tuna Atlas VREManaging tuna fisheries data at a global scale: the Tuna Atlas VRE
Managing tuna fisheries data at a global scale: the Tuna Atlas VREBlue BRIDGE
 
SeaDataCloud – further developing the pan-European SeaDataNet infrastructure ...
SeaDataCloud – further developing the pan-European SeaDataNet infrastructure ...SeaDataCloud – further developing the pan-European SeaDataNet infrastructure ...
SeaDataCloud – further developing the pan-European SeaDataNet infrastructure ...Blue BRIDGE
 
The BlueBRIDGE Project - Pasquale Pagano
The BlueBRIDGE Project - Pasquale PaganoThe BlueBRIDGE Project - Pasquale Pagano
The BlueBRIDGE Project - Pasquale PaganoBlue BRIDGE
 
Thematic clouds for EOSC : The Food Cloud and the Blue Cloud
Thematic clouds for EOSC: The Food Cloud and the Blue Cloud�Thematic clouds for EOSC: The Food Cloud and the Blue Cloud�
Thematic clouds for EOSC : The Food Cloud and the Blue CloudBlue BRIDGE
 

More from Blue BRIDGE (20)

PerformFISH: Consumer Driven Production - Integrating Innovative Approaches f...
PerformFISH: Consumer Driven Production - Integrating Innovative Approaches f...PerformFISH: Consumer Driven Production - Integrating Innovative Approaches f...
PerformFISH: Consumer Driven Production - Integrating Innovative Approaches f...
 
BlueBRIDGE supporting education
BlueBRIDGE supporting educationBlueBRIDGE supporting education
BlueBRIDGE supporting education
 
LME: LEARN & IOC Capacity Building Activities
LME: LEARN & IOC Capacity Building ActivitiesLME: LEARN & IOC Capacity Building Activities
LME: LEARN & IOC Capacity Building Activities
 
Machine Learning methods to estimate the performance of aquafarms
Machine Learning methods to estimate the performance of aquafarms Machine Learning methods to estimate the performance of aquafarms
Machine Learning methods to estimate the performance of aquafarms
 
Environmental observation data to detect aquaculture structures: merging Cope...
Environmental observation data to detect aquaculture structures: merging Cope...Environmental observation data to detect aquaculture structures: merging Cope...
Environmental observation data to detect aquaculture structures: merging Cope...
 
Application of Earth Observation (EO) Data for Detection, Characterization an...
Application of Earth Observation (EO) Data for Detection, Characterization an...Application of Earth Observation (EO) Data for Detection, Characterization an...
Application of Earth Observation (EO) Data for Detection, Characterization an...
 
Capacity building, validation and repeatability
Capacity building, validation and repeatabilityCapacity building, validation and repeatability
Capacity building, validation and repeatability
 
Fostering global data management with public tuna fisheries data
Fostering global data management with public tuna fisheries dataFostering global data management with public tuna fisheries data
Fostering global data management with public tuna fisheries data
 
Understanding biodiversity features in marine protected areas
Understanding biodiversity features in marine protected areasUnderstanding biodiversity features in marine protected areas
Understanding biodiversity features in marine protected areas
 
Panel discussion on Global Repositories of Merged Public Data
Panel discussion on Global Repositories of Merged Public DataPanel discussion on Global Repositories of Merged Public Data
Panel discussion on Global Repositories of Merged Public Data
 
Invasive species and climate change
Invasive species and climate changeInvasive species and climate change
Invasive species and climate change
 
Blue Skills
Blue SkillsBlue Skills
Blue Skills
 
The BIG picture - Advanced data visualization for SDG, basic stock assessment...
The BIG picture - Advanced data visualization for SDG, basic stock assessment...The BIG picture - Advanced data visualization for SDG, basic stock assessment...
The BIG picture - Advanced data visualization for SDG, basic stock assessment...
 
Global Record of Stocks and Fisheries (GRFS)
Global Record of Stocks and Fisheries (GRFS)Global Record of Stocks and Fisheries (GRFS)
Global Record of Stocks and Fisheries (GRFS)
 
Projecting global fish stocks and catches up to 2100
Projecting global fish stocks and catches up to 2100Projecting global fish stocks and catches up to 2100
Projecting global fish stocks and catches up to 2100
 
BlueBRIDGE: Major Achievements & future vision
BlueBRIDGE: Major Achievements & future visionBlueBRIDGE: Major Achievements & future vision
BlueBRIDGE: Major Achievements & future vision
 
Managing tuna fisheries data at a global scale: the Tuna Atlas VRE
Managing tuna fisheries data at a global scale: the Tuna Atlas VREManaging tuna fisheries data at a global scale: the Tuna Atlas VRE
Managing tuna fisheries data at a global scale: the Tuna Atlas VRE
 
SeaDataCloud – further developing the pan-European SeaDataNet infrastructure ...
SeaDataCloud – further developing the pan-European SeaDataNet infrastructure ...SeaDataCloud – further developing the pan-European SeaDataNet infrastructure ...
SeaDataCloud – further developing the pan-European SeaDataNet infrastructure ...
 
The BlueBRIDGE Project - Pasquale Pagano
The BlueBRIDGE Project - Pasquale PaganoThe BlueBRIDGE Project - Pasquale Pagano
The BlueBRIDGE Project - Pasquale Pagano
 
Thematic clouds for EOSC : The Food Cloud and the Blue Cloud
Thematic clouds for EOSC: The Food Cloud and the Blue Cloud�Thematic clouds for EOSC: The Food Cloud and the Blue Cloud�
Thematic clouds for EOSC : The Food Cloud and the Blue Cloud
 

Recently uploaded

Industrialised data - the key to AI success.pdf
Industrialised data - the key to AI success.pdfIndustrialised data - the key to AI success.pdf
Industrialised data - the key to AI success.pdfLars Albertsson
 
Edukaciniai dropshipping via API with DroFx
Edukaciniai dropshipping via API with DroFxEdukaciniai dropshipping via API with DroFx
Edukaciniai dropshipping via API with DroFxolyaivanovalion
 
April 2024 - Crypto Market Report's Analysis
April 2024 - Crypto Market Report's AnalysisApril 2024 - Crypto Market Report's Analysis
April 2024 - Crypto Market Report's Analysismanisha194592
 
Delhi Call Girls CP 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
Delhi Call Girls CP 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip CallDelhi Call Girls CP 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
Delhi Call Girls CP 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Callshivangimorya083
 
Brighton SEO | April 2024 | Data Storytelling
Brighton SEO | April 2024 | Data StorytellingBrighton SEO | April 2024 | Data Storytelling
Brighton SEO | April 2024 | Data StorytellingNeil Barnes
 
Delhi Call Girls Punjabi Bagh 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
Delhi Call Girls Punjabi Bagh 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip CallDelhi Call Girls Punjabi Bagh 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
Delhi Call Girls Punjabi Bagh 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Callshivangimorya083
 
Call me @ 9892124323 Cheap Rate Call Girls in Vashi with Real Photo 100% Secure
Call me @ 9892124323  Cheap Rate Call Girls in Vashi with Real Photo 100% SecureCall me @ 9892124323  Cheap Rate Call Girls in Vashi with Real Photo 100% Secure
Call me @ 9892124323 Cheap Rate Call Girls in Vashi with Real Photo 100% SecurePooja Nehwal
 
BigBuy dropshipping via API with DroFx.pptx
BigBuy dropshipping via API with DroFx.pptxBigBuy dropshipping via API with DroFx.pptx
BigBuy dropshipping via API with DroFx.pptxolyaivanovalion
 
Call Girls in Sarai Kale Khan Delhi 💯 Call Us 🔝9205541914 🔝( Delhi) Escorts S...
Call Girls in Sarai Kale Khan Delhi 💯 Call Us 🔝9205541914 🔝( Delhi) Escorts S...Call Girls in Sarai Kale Khan Delhi 💯 Call Us 🔝9205541914 🔝( Delhi) Escorts S...
Call Girls in Sarai Kale Khan Delhi 💯 Call Us 🔝9205541914 🔝( Delhi) Escorts S...Delhi Call girls
 
Smarteg dropshipping via API with DroFx.pptx
Smarteg dropshipping via API with DroFx.pptxSmarteg dropshipping via API with DroFx.pptx
Smarteg dropshipping via API with DroFx.pptxolyaivanovalion
 
Ukraine War presentation: KNOW THE BASICS
Ukraine War presentation: KNOW THE BASICSUkraine War presentation: KNOW THE BASICS
Ukraine War presentation: KNOW THE BASICSAishani27
 
Invezz.com - Grow your wealth with trading signals
Invezz.com - Grow your wealth with trading signalsInvezz.com - Grow your wealth with trading signals
Invezz.com - Grow your wealth with trading signalsInvezz1
 
RA-11058_IRR-COMPRESS Do 198 series of 1998
RA-11058_IRR-COMPRESS Do 198 series of 1998RA-11058_IRR-COMPRESS Do 198 series of 1998
RA-11058_IRR-COMPRESS Do 198 series of 1998YohFuh
 
VIP Call Girls Service Miyapur Hyderabad Call +91-8250192130
VIP Call Girls Service Miyapur Hyderabad Call +91-8250192130VIP Call Girls Service Miyapur Hyderabad Call +91-8250192130
VIP Call Girls Service Miyapur Hyderabad Call +91-8250192130Suhani Kapoor
 
Carero dropshipping via API with DroFx.pptx
Carero dropshipping via API with DroFx.pptxCarero dropshipping via API with DroFx.pptx
Carero dropshipping via API with DroFx.pptxolyaivanovalion
 
Midocean dropshipping via API with DroFx
Midocean dropshipping via API with DroFxMidocean dropshipping via API with DroFx
Midocean dropshipping via API with DroFxolyaivanovalion
 
Market Analysis in the 5 Largest Economic Countries in Southeast Asia.pdf
Market Analysis in the 5 Largest Economic Countries in Southeast Asia.pdfMarket Analysis in the 5 Largest Economic Countries in Southeast Asia.pdf
Market Analysis in the 5 Largest Economic Countries in Southeast Asia.pdfRachmat Ramadhan H
 
Unveiling Insights: The Role of a Data Analyst
Unveiling Insights: The Role of a Data AnalystUnveiling Insights: The Role of a Data Analyst
Unveiling Insights: The Role of a Data AnalystSamantha Rae Coolbeth
 

Recently uploaded (20)

Industrialised data - the key to AI success.pdf
Industrialised data - the key to AI success.pdfIndustrialised data - the key to AI success.pdf
Industrialised data - the key to AI success.pdf
 
Edukaciniai dropshipping via API with DroFx
Edukaciniai dropshipping via API with DroFxEdukaciniai dropshipping via API with DroFx
Edukaciniai dropshipping via API with DroFx
 
April 2024 - Crypto Market Report's Analysis
April 2024 - Crypto Market Report's AnalysisApril 2024 - Crypto Market Report's Analysis
April 2024 - Crypto Market Report's Analysis
 
Delhi Call Girls CP 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
Delhi Call Girls CP 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip CallDelhi Call Girls CP 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
Delhi Call Girls CP 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
 
Brighton SEO | April 2024 | Data Storytelling
Brighton SEO | April 2024 | Data StorytellingBrighton SEO | April 2024 | Data Storytelling
Brighton SEO | April 2024 | Data Storytelling
 
Delhi Call Girls Punjabi Bagh 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
Delhi Call Girls Punjabi Bagh 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip CallDelhi Call Girls Punjabi Bagh 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
Delhi Call Girls Punjabi Bagh 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
 
Call me @ 9892124323 Cheap Rate Call Girls in Vashi with Real Photo 100% Secure
Call me @ 9892124323  Cheap Rate Call Girls in Vashi with Real Photo 100% SecureCall me @ 9892124323  Cheap Rate Call Girls in Vashi with Real Photo 100% Secure
Call me @ 9892124323 Cheap Rate Call Girls in Vashi with Real Photo 100% Secure
 
Delhi 99530 vip 56974 Genuine Escort Service Call Girls in Kishangarh
Delhi 99530 vip 56974 Genuine Escort Service Call Girls in  KishangarhDelhi 99530 vip 56974 Genuine Escort Service Call Girls in  Kishangarh
Delhi 99530 vip 56974 Genuine Escort Service Call Girls in Kishangarh
 
BigBuy dropshipping via API with DroFx.pptx
BigBuy dropshipping via API with DroFx.pptxBigBuy dropshipping via API with DroFx.pptx
BigBuy dropshipping via API with DroFx.pptx
 
Call Girls in Sarai Kale Khan Delhi 💯 Call Us 🔝9205541914 🔝( Delhi) Escorts S...
Call Girls in Sarai Kale Khan Delhi 💯 Call Us 🔝9205541914 🔝( Delhi) Escorts S...Call Girls in Sarai Kale Khan Delhi 💯 Call Us 🔝9205541914 🔝( Delhi) Escorts S...
Call Girls in Sarai Kale Khan Delhi 💯 Call Us 🔝9205541914 🔝( Delhi) Escorts S...
 
Smarteg dropshipping via API with DroFx.pptx
Smarteg dropshipping via API with DroFx.pptxSmarteg dropshipping via API with DroFx.pptx
Smarteg dropshipping via API with DroFx.pptx
 
Ukraine War presentation: KNOW THE BASICS
Ukraine War presentation: KNOW THE BASICSUkraine War presentation: KNOW THE BASICS
Ukraine War presentation: KNOW THE BASICS
 
Invezz.com - Grow your wealth with trading signals
Invezz.com - Grow your wealth with trading signalsInvezz.com - Grow your wealth with trading signals
Invezz.com - Grow your wealth with trading signals
 
RA-11058_IRR-COMPRESS Do 198 series of 1998
RA-11058_IRR-COMPRESS Do 198 series of 1998RA-11058_IRR-COMPRESS Do 198 series of 1998
RA-11058_IRR-COMPRESS Do 198 series of 1998
 
VIP Call Girls Service Miyapur Hyderabad Call +91-8250192130
VIP Call Girls Service Miyapur Hyderabad Call +91-8250192130VIP Call Girls Service Miyapur Hyderabad Call +91-8250192130
VIP Call Girls Service Miyapur Hyderabad Call +91-8250192130
 
VIP Call Girls Service Charbagh { Lucknow Call Girls Service 9548273370 } Boo...
VIP Call Girls Service Charbagh { Lucknow Call Girls Service 9548273370 } Boo...VIP Call Girls Service Charbagh { Lucknow Call Girls Service 9548273370 } Boo...
VIP Call Girls Service Charbagh { Lucknow Call Girls Service 9548273370 } Boo...
 
Carero dropshipping via API with DroFx.pptx
Carero dropshipping via API with DroFx.pptxCarero dropshipping via API with DroFx.pptx
Carero dropshipping via API with DroFx.pptx
 
Midocean dropshipping via API with DroFx
Midocean dropshipping via API with DroFxMidocean dropshipping via API with DroFx
Midocean dropshipping via API with DroFx
 
Market Analysis in the 5 Largest Economic Countries in Southeast Asia.pdf
Market Analysis in the 5 Largest Economic Countries in Southeast Asia.pdfMarket Analysis in the 5 Largest Economic Countries in Southeast Asia.pdf
Market Analysis in the 5 Largest Economic Countries in Southeast Asia.pdf
 
Unveiling Insights: The Role of a Data Analyst
Unveiling Insights: The Role of a Data AnalystUnveiling Insights: The Role of a Data Analyst
Unveiling Insights: The Role of a Data Analyst
 

Management plan evaluation of western horse mackerel

  • 1. Management Plan Evaluation of western horse mackerel José A. A. De Oliveira, Beatriz A. Roel
  • 2. HCR and MSE • Objective: – to find an HCR that would meet ICES criteria for sustainability and precaution. • Method: – modelled 100 populations w/ different stock- recruit relationships to tease apart what is causing the long recovery times and high risk of collapse.
  • 3. MSE and BB • “simple” implementation of an MSE using R • BB: – speed up run time – Simplify adjusting parameters – Etc.
  • 4. • Operating Model  Conditioned on WGWIDE 2014 assessment  Uncertainty based on variance-covariance matrix  Stock-recruit modelling: o Three forms (Bev-Holt, Ricker, Hockeystick) o Resampled residuals o Serial correlation included o Recruitment spikes included • Reference points (WKMSYREF3)  Long-term simulations (>100 years) • HCR  Model-free (Eggs) and model-based (SSB)  Medium-term simulations (50 years)  Include protection rule Management Plan Evaluation
  • 5. Conclusions • Given assessment uncertainty and the status of the population at the start of projections, a suitable HCR could not be identified
  • 6. Trade-offs: risk vs. ave catch 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0 20 40 60 80 100 120 140 160 180 aveP(SSB<Blim) med (ave Catch) Years 2055-2064 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0 20 40 60 80 100 120 140 160 aveP(SSB<Blim) med (ave Catch) Years 2015-2034 No Catch Current HCR Egg: g=1 Egg: g=2 Egg: g=3 SSB: g=1 SSB: g=2 SSB: g=3 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0 20 40 60 80 100 120 140 160 aveP(SSB<Blim) med (ave Catch) Years 2035-2054
  • 7. • Based on the existing information on western horse mackerel, catches above 100 000 t cannot be sustained without occasional high recruitment events (spikes). • Even under no fishing, risk 1 ≤ 5% is achieved only during the final years of a 50-year projection, and therefore, under current conditions and assuming the already-set 2014-2016 TAC/advice levels are fully adhered to, there is no HCR that will meet this risk criterion in the short- to medium-term. • Given the precautionary criterion of risk 1 ≤ 5%, the current HCR cannot be considered precautionary in the short- medium- or long-term. • The current HCR associated with a protection rule activated at low stock size is precautionary only in the long term. • Egg HCRs perform best in terms of minimising risk 1 and maximising average catch by setting the egg threshold to around 1 000×1015 eggs and applying a rapid reduction below this threshold (𝑔 ≥ 2). • For the options tested, Egg HCRs outperform SSB HCRs in terms of risk 1 and average catch in the long term (final years of a 50-year projection). • Without a mechanism for stabilising catch, SSB HCRs currently lead to more variable catches than Egg HCRs, with values of 𝛼 beyond 0.1 leading to markedly poorer performance in terms of risk 1 and average catch. Conclusions