SlideShare a Scribd company logo
1 of 21
3/9/2012

Pacific Lamprey Monitoring
  and Data Management



 Yakama Nation FRMP
   Pacific Lamprey
   Recovery Project
Project Goals
The goal of the Yakama Nation is to restore natural
production of Pacific lamprey to a level that will
provide robust species abundance, significant
ecological contributions and meaningful harvest
throughout the Yakama Nations Ceded Lands and in
the Usual and Accustomed areas.
Pacific Lamprey Adult Counts
Premises
• Yakima population is functionally
  extirpated

• Our goal is to have hundreds and
  thousands of juveniles
    Supplementation a much needed tool

• Genetics (risk management approach)
Monitoring Projects
•   Adult passage (radio telemetry)

•   Juvenile passage (Prosser Dam) -> index?

•   Juvenile present/absence (including canals)
•   Juvenile index sites (“relative abundance”)

•   Water quality impacts on lamprey (adult/juv.)

•   Artificial propagation and rearing (methods, feed)

•   Supplementation effectiveness (survival and
    growth)
Juvenile Surveys
•  Exploratory Survey (Min. Data)
   Presence / Absence
   Quick survey
• Index Survey (Core Data)
   Relative abundance
   Annual variation
• Extensive Surveys (Optional Data)
   Release from art. prop.
   Seasonal variation
   Growth, distribution, habitat use
Focus
•    Need a method to measure
     “relative abundance” of larvae
     Time & Space
     Consistent
       & Coordinated


     Precision not important
     Density can be misleading
= Type 1
Intrinsic Potential (IP)
      Model for Pacific Lamprey
                             1.2
                               1

•    What is the potential   0.8
                             0.6
                             0.4


     for lamprey habitat?
                             0.2
                               0
                                   0              50              100


    • Flow
                                       Mean Annual Stream Flow (cms)


                             1.2


    • Gradient
                               1
                             0.8
                             0.6
                             0.4


    • Valley Width
                             0.2
                               0
                                   0                      5


    • (Temperature)
                                           Channel Gradient (%)


                             1.2
                               1
                             0.8
                             0.6
                             0.4
                             0.2
                               0
                                   0                5                10
                                        Calibrated Valley Constraint
Use Existing Data

•  Flow
  • >14 cfs
                    ODFW Steelhead Survey
• Gradient
  • <2%
• Valley Width
  • > 100 ft
Benefits of IP Model
        for Pacific Lamprey
•   Higher efficiency in predicting
    lower and upper distribution


•   Make comparison
    of density and
    relative abundance
    more meaningful
Spatial Scales
•    3 spatial scales
    • 10 M: density, habitat
       features
    • 100 M: relative
       abundance, status and trend
    • 1000 M: abundance
       estimates, status and
       trend, limiting factors
Legend
      Index Sites
      Extensive Sites                           Reach D
                                                                   Analysis Unit 3
      Exploratory Sites

                                      Reach C
                                                             Reach E




Reach A                     Reach B
                                                          Reach F




                                                 Analysis Unit 2
          Analysis Unit 1
Index Sites
density measurements in representative
habitat types -> “relative abundance”
• ~100 meters                                           Area
• 3-5 plots, fixed and mapped                       Supplemented
• Each Plot = X amount of area surveyed over
               Y amount of time (~10 m)
• Long-term




                                         Extensive Sites
                                growth, survival and habitat preference
                                of released propagated larvae.

                                    • ~100 metes
                                    • Extensive area surveyed
                                    • Location may vary over time
How to Calculate
      Abundance??             = 250 m2

•   Estimate area for Type 1 & 2
    Habitat (using habitat surveys)
•   Not always available
     (Larger streams/rivers)
Core Data

Reach Scale (~1000 m)
• Watershed (HUC 5 or 6)
• Stream Name
• GPS
• (River Mile -> identifier)
• (Elevation)
• (Gradient)
• (Sinuosity)
Core Data
Habitat Scale (~10 m)
• Channel type (riffle, glide, pool)
• Habitat Type (% Type 1 & 2)
• Plot size
• Method (E-fishing, hand net, etc)
• Survey time (cpue)
• Time of day
• Visibility (high, medium, low)
• (Conductivity)
• (Temperature/DO/pH)
• (Riparian / % cover)
Biological Core Data

•   Species (at least %)
•   Life stage
•   Counts
•   (Length)
•   (Weight)
Questions??

More Related Content

Similar to Yn pacific lamprey data mgmt presentation

David Keith_Risk assessment of Australian ecosystems
David Keith_Risk assessment of Australian ecosystemsDavid Keith_Risk assessment of Australian ecosystems
David Keith_Risk assessment of Australian ecosystemsTERN Australia
 
Steve Burgess Seminar Presentation 22nd September
Steve Burgess Seminar Presentation 22nd SeptemberSteve Burgess Seminar Presentation 22nd September
Steve Burgess Seminar Presentation 22nd Septemberguestd2d93b8
 
Steve Burgess Seminar Presentation 22nd September
Steve Burgess Seminar Presentation 22nd SeptemberSteve Burgess Seminar Presentation 22nd September
Steve Burgess Seminar Presentation 22nd SeptemberWorld Agroforestry (ICRAF)
 
Steve Burgess Seminar Presentation 22nd September
Steve Burgess Seminar Presentation 22nd SeptemberSteve Burgess Seminar Presentation 22nd September
Steve Burgess Seminar Presentation 22nd Septemberobutuz
 
Digital soil mapping
Digital soil mappingDigital soil mapping
Digital soil mappingCIAT
 
Mark Thomas_A digital soil mapping approach for regolith thickness in the com...
Mark Thomas_A digital soil mapping approach for regolith thickness in the com...Mark Thomas_A digital soil mapping approach for regolith thickness in the com...
Mark Thomas_A digital soil mapping approach for regolith thickness in the com...TERN Australia
 
Using multi-temporal benchmarking to determine optimal sensor deployment: adv...
Using multi-temporal benchmarking to determine optimal sensor deployment: adv...Using multi-temporal benchmarking to determine optimal sensor deployment: adv...
Using multi-temporal benchmarking to determine optimal sensor deployment: adv...DART Project
 
Wetland Ecosystem Service Protocol for Southeast Alaska by Dr. Paul Adamus
Wetland Ecosystem Service Protocol for Southeast Alaska by Dr. Paul AdamusWetland Ecosystem Service Protocol for Southeast Alaska by Dr. Paul Adamus
Wetland Ecosystem Service Protocol for Southeast Alaska by Dr. Paul AdamusSoutheast Alaska Watershed Coalition
 
Responding to evolving threats using innovative tools, technologies and datas...
Responding to evolving threats using innovative tools, technologies and datas...Responding to evolving threats using innovative tools, technologies and datas...
Responding to evolving threats using innovative tools, technologies and datas...Environmental Protection Agency, Ireland
 
Spotlight TCI Poster
Spotlight TCI PosterSpotlight TCI Poster
Spotlight TCI PosterMadalyn Forte
 
Andy Fitzgerald (AWS, Seafish, South West Water) - “Combined Sewer Overflow (...
Andy Fitzgerald (AWS, Seafish, South West Water) - “Combined Sewer Overflow (...Andy Fitzgerald (AWS, Seafish, South West Water) - “Combined Sewer Overflow (...
Andy Fitzgerald (AWS, Seafish, South West Water) - “Combined Sewer Overflow (...Shellfish Association
 

Similar to Yn pacific lamprey data mgmt presentation (20)

Halfoff
HalfoffHalfoff
Halfoff
 
WESPAK-SE: Wetland Functional Assessment by Paul Adamus
WESPAK-SE: Wetland Functional Assessment by Paul AdamusWESPAK-SE: Wetland Functional Assessment by Paul Adamus
WESPAK-SE: Wetland Functional Assessment by Paul Adamus
 
David Keith_Risk assessment of Australian ecosystems
David Keith_Risk assessment of Australian ecosystemsDavid Keith_Risk assessment of Australian ecosystems
David Keith_Risk assessment of Australian ecosystems
 
Steve Burgess Seminar Presentation 22nd September
Steve Burgess Seminar Presentation 22nd SeptemberSteve Burgess Seminar Presentation 22nd September
Steve Burgess Seminar Presentation 22nd September
 
Steve Burgess Seminar Presentation 22nd September
Steve Burgess Seminar Presentation 22nd SeptemberSteve Burgess Seminar Presentation 22nd September
Steve Burgess Seminar Presentation 22nd September
 
Steve Burgess Seminar Presentation 22nd September
Steve Burgess Seminar Presentation 22nd SeptemberSteve Burgess Seminar Presentation 22nd September
Steve Burgess Seminar Presentation 22nd September
 
Digital soil mapping
Digital soil mappingDigital soil mapping
Digital soil mapping
 
Using LIDAR Data to Examine Habitat Complexity and Ecology of a Coral Reef
Using LIDAR Data to Examine Habitat Complexity and Ecology of a Coral ReefUsing LIDAR Data to Examine Habitat Complexity and Ecology of a Coral Reef
Using LIDAR Data to Examine Habitat Complexity and Ecology of a Coral Reef
 
Txgio presentation rgsm_gps_pearson_062012
Txgio presentation rgsm_gps_pearson_062012Txgio presentation rgsm_gps_pearson_062012
Txgio presentation rgsm_gps_pearson_062012
 
Mark Thomas_A digital soil mapping approach for regolith thickness in the com...
Mark Thomas_A digital soil mapping approach for regolith thickness in the com...Mark Thomas_A digital soil mapping approach for regolith thickness in the com...
Mark Thomas_A digital soil mapping approach for regolith thickness in the com...
 
Using multi-temporal benchmarking to determine optimal sensor deployment: adv...
Using multi-temporal benchmarking to determine optimal sensor deployment: adv...Using multi-temporal benchmarking to determine optimal sensor deployment: adv...
Using multi-temporal benchmarking to determine optimal sensor deployment: adv...
 
Arvai Cc
Arvai CcArvai Cc
Arvai Cc
 
Wetland Ecosystem Service Protocol for Southeast Alaska by Dr. Paul Adamus
Wetland Ecosystem Service Protocol for Southeast Alaska by Dr. Paul AdamusWetland Ecosystem Service Protocol for Southeast Alaska by Dr. Paul Adamus
Wetland Ecosystem Service Protocol for Southeast Alaska by Dr. Paul Adamus
 
Responding to evolving threats using innovative tools, technologies and datas...
Responding to evolving threats using innovative tools, technologies and datas...Responding to evolving threats using innovative tools, technologies and datas...
Responding to evolving threats using innovative tools, technologies and datas...
 
Aerial Recon in Bakken, ND
Aerial Recon in Bakken, NDAerial Recon in Bakken, ND
Aerial Recon in Bakken, ND
 
Spotlight TCI Poster
Spotlight TCI PosterSpotlight TCI Poster
Spotlight TCI Poster
 
Andy Fitzgerald (AWS, Seafish, South West Water) - “Combined Sewer Overflow (...
Andy Fitzgerald (AWS, Seafish, South West Water) - “Combined Sewer Overflow (...Andy Fitzgerald (AWS, Seafish, South West Water) - “Combined Sewer Overflow (...
Andy Fitzgerald (AWS, Seafish, South West Water) - “Combined Sewer Overflow (...
 
Hic06 spatial interpolation
Hic06 spatial interpolationHic06 spatial interpolation
Hic06 spatial interpolation
 
Water use accounting in the Volta basin
Water use accounting in the Volta basinWater use accounting in the Volta basin
Water use accounting in the Volta basin
 
Evaluating the effect of pasture type and grasing intensity
Evaluating the effect of pasture type and grasing intensityEvaluating the effect of pasture type and grasing intensity
Evaluating the effect of pasture type and grasing intensity
 

Recently uploaded

Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Miguel Araújo
 
Tech Trends Report 2024 Future Today Institute.pdf
Tech Trends Report 2024 Future Today Institute.pdfTech Trends Report 2024 Future Today Institute.pdf
Tech Trends Report 2024 Future Today Institute.pdfhans926745
 
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc
 
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024The Digital Insurer
 
GenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdfGenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdflior mazor
 
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024Rafal Los
 
Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024The Digital Insurer
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptxHampshireHUG
 
Boost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityBoost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityPrincipled Technologies
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...Martijn de Jong
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)Gabriella Davis
 
Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...apidays
 
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, AdobeApidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobeapidays
 
🐬 The future of MySQL is Postgres 🐘
🐬  The future of MySQL is Postgres   🐘🐬  The future of MySQL is Postgres   🐘
🐬 The future of MySQL is Postgres 🐘RTylerCroy
 
Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024The Digital Insurer
 
Histor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slideHistor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slidevu2urc
 
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsJoaquim Jorge
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationMichael W. Hawkins
 
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdfUnderstanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdfUK Journal
 

Recently uploaded (20)

Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
 
Tech Trends Report 2024 Future Today Institute.pdf
Tech Trends Report 2024 Future Today Institute.pdfTech Trends Report 2024 Future Today Institute.pdf
Tech Trends Report 2024 Future Today Institute.pdf
 
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
 
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
 
GenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdfGenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdf
 
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024
 
Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
 
Boost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityBoost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivity
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)
 
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
 
Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...
 
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, AdobeApidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
 
🐬 The future of MySQL is Postgres 🐘
🐬  The future of MySQL is Postgres   🐘🐬  The future of MySQL is Postgres   🐘
🐬 The future of MySQL is Postgres 🐘
 
Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024
 
Histor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slideHistor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slide
 
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and Myths
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day Presentation
 
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdfUnderstanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
 

Yn pacific lamprey data mgmt presentation

  • 1. 3/9/2012 Pacific Lamprey Monitoring and Data Management Yakama Nation FRMP Pacific Lamprey Recovery Project
  • 2. Project Goals The goal of the Yakama Nation is to restore natural production of Pacific lamprey to a level that will provide robust species abundance, significant ecological contributions and meaningful harvest throughout the Yakama Nations Ceded Lands and in the Usual and Accustomed areas.
  • 4. Premises • Yakima population is functionally extirpated • Our goal is to have hundreds and thousands of juveniles  Supplementation a much needed tool • Genetics (risk management approach)
  • 5. Monitoring Projects • Adult passage (radio telemetry) • Juvenile passage (Prosser Dam) -> index? • Juvenile present/absence (including canals) • Juvenile index sites (“relative abundance”) • Water quality impacts on lamprey (adult/juv.) • Artificial propagation and rearing (methods, feed) • Supplementation effectiveness (survival and growth)
  • 6. Juvenile Surveys • Exploratory Survey (Min. Data)  Presence / Absence  Quick survey • Index Survey (Core Data)  Relative abundance  Annual variation • Extensive Surveys (Optional Data)  Release from art. prop.  Seasonal variation  Growth, distribution, habitat use
  • 7. Focus • Need a method to measure “relative abundance” of larvae  Time & Space  Consistent & Coordinated  Precision not important  Density can be misleading
  • 8.
  • 10.
  • 11. Intrinsic Potential (IP) Model for Pacific Lamprey 1.2 1 • What is the potential 0.8 0.6 0.4 for lamprey habitat? 0.2 0 0 50 100 • Flow Mean Annual Stream Flow (cms) 1.2 • Gradient 1 0.8 0.6 0.4 • Valley Width 0.2 0 0 5 • (Temperature) Channel Gradient (%) 1.2 1 0.8 0.6 0.4 0.2 0 0 5 10 Calibrated Valley Constraint
  • 12. Use Existing Data • Flow • >14 cfs ODFW Steelhead Survey • Gradient • <2% • Valley Width • > 100 ft
  • 13. Benefits of IP Model for Pacific Lamprey • Higher efficiency in predicting lower and upper distribution • Make comparison of density and relative abundance more meaningful
  • 14. Spatial Scales • 3 spatial scales • 10 M: density, habitat features • 100 M: relative abundance, status and trend • 1000 M: abundance estimates, status and trend, limiting factors
  • 15. Legend Index Sites Extensive Sites Reach D Analysis Unit 3 Exploratory Sites Reach C Reach E Reach A Reach B Reach F Analysis Unit 2 Analysis Unit 1
  • 16. Index Sites density measurements in representative habitat types -> “relative abundance” • ~100 meters Area • 3-5 plots, fixed and mapped Supplemented • Each Plot = X amount of area surveyed over Y amount of time (~10 m) • Long-term Extensive Sites growth, survival and habitat preference of released propagated larvae. • ~100 metes • Extensive area surveyed • Location may vary over time
  • 17. How to Calculate Abundance?? = 250 m2 • Estimate area for Type 1 & 2 Habitat (using habitat surveys) • Not always available (Larger streams/rivers)
  • 18. Core Data Reach Scale (~1000 m) • Watershed (HUC 5 or 6) • Stream Name • GPS • (River Mile -> identifier) • (Elevation) • (Gradient) • (Sinuosity)
  • 19. Core Data Habitat Scale (~10 m) • Channel type (riffle, glide, pool) • Habitat Type (% Type 1 & 2) • Plot size • Method (E-fishing, hand net, etc) • Survey time (cpue) • Time of day • Visibility (high, medium, low) • (Conductivity) • (Temperature/DO/pH) • (Riparian / % cover)
  • 20. Biological Core Data • Species (at least %) • Life stage • Counts • (Length) • (Weight)

Editor's Notes

  1. Provides clean slate – rational for supplementation. Art prop allows us to put fish where we know they will be – measure growth, survival. High level of precision not important in measuring sharply increasing trend of juvenile production.
  2. 100M building blocks to reach scale population estimates
  3. Level of accuracy (recognize problems with precision [variables that cannot be measured with high confidence), and comparability over time and space. Contribute to status and trend. Measure progress of supplementation. Consistent and coordinated between tribes, states, and USFWS.
  4. 100M building blocks to reach scale population estimates
  5. 100M building blocks to reach scale population estimates