Five basic objectives of ISTMFive basic objectives of ISTM

1. Identify & prioritize decisions, questions, and objectives2. Review existing programs and designs3. Identify monitoring designs, sampling frames, protocols,

and analytical tools 4. Use trade-off analyses to develop recommendations for

monitoring5. Recommend implementation and reporting mechanisms

1. Identify & prioritize decisions, questions, and objectives2. Review existing programs and designs3. Identify monitoring designs, sampling frames, protocols,

and analytical tools 4. Use trade-off analyses to develop recommendations for

monitoring5. Recommend implementation and reporting mechanisms

Decisions and

questions

Review existing

programs

Identify potential designs

Trade-off analyses

Implementation recommendations

Salmon and steelhead monitoring

Habitat & watershed condition monitoring

PNAMP

Fish ISTM – Objective 1 CompletedFish ISTM – Objective 1 Completed

Identified and prioritized VSP monitoring needs and fish related critical uncertainty research needs in Lower Columbia:

• Thematically

• Spatially

• Temporally

• Certainty

Identified and prioritized VSP monitoring needs and fish related critical uncertainty research needs in Lower Columbia:

• Thematically

• Spatially

• Temporally

• Certainty

Fry/Parr Index:

Juvenile Migrants

Adult Recruits

Spawners

Age Structure

Migration/Spawning Timing

Sex

Origin

Fry/Parr Spatial Structure

Spawner Spatial Structure

Prioritized Indicators

Filters• Recovery Priority• 3 - Primary populations (i.e. low or very low risk) are high priority• 2 - Contributing populations (i.e. moderate risk) are moderate priority• 1 - Stabilizing populations (i.e. high or very high risk) are low priority

• Current Natural Origin Abundance• 3 - average of >500 natural origin spawners over last six years• 2 - average of 100-500 natural origin spawners over last six years• 1 - average of <100 natural origin spawners over last six years

• In/Out Potential• 3 - High priority where existing infrastructure and methods allow for an

unbiased and precise adult and smolt abundance estimates (CV < 15%) for a substantial portion of the population area (>30%)

• 2 - Moderate priority where existing infrastructure and methods allow for an unbiased and precise adult and smolt abundance estimates (CV < 15%) for a small portion of the population area (<30%)

• 1 - Low priority where existing infrastructure and methods do not allow for unbiased and precise adult and smolt abundance estimates (CV > 15%)

• Special Case • 3 -High priority• 2 - Moderate priority• 1 - Low Priority

Young

s Bay

Big C

reek

Clatsk

anie

Scapp

oose

Gra

ys

Eloch

oman

M-A

-G

Clacka

mas

Sandy

Cowlitz

Kalam

a

Lewis

Salm

on

Wash

ougal

Lower G

orge

Upper G

orge Spawner & adult

recruit abundance;adult age, sex,

origin, anddistribution

Juvenile Migrants

Migration/ SpawnTiming

Fry/Parr Index &Distribution

0

1

2

3

Lo

w

M

od

era

te

H

ighChum VSP Indicator Monitoring Relative Prioritie

s

Young

s Bay

Big C

reek

Clatsk

anie

Scapp

oose

Gra

ys

Eloch

oman

M-A

-G

Clacka

mas

Sandy

Cowlitz

Kalam

a

Lewis

Salm

on

Wash

ougal

Lower G

orge

Upper G

orge Recovery

Priority

Current NaturalOrigin

Abundance

In/Out Potential

Special Case

0

1

2

3

Low

M

oder

ate

H

igh

Chum Filters

Calculations

• Relative Indicator Score = (Raw Indicator Score) x (Recovery Priority Score) x (Current Abundance Score) x (Fish In/Fish Out Score) x (Special Cases Score)

• Total Species Population Score = ∑Relative Indicator Scores for a Species & Population

Calculations

• Relative Indicator Score = (Raw Indicator Score) x (Recovery Priority Score) x (Current Abundance Score) x (Fish In/Fish Out Score) x (Special Cases Score)

• Total Species Population Score = ∑Relative Indicator Scores for a Species & Population

Total Score for Chum - Adults

0

10

20

30

40

50

60

70

80

90

Gra

ys

Lower G

orge

Clatsk

anie

Scapp

oose

M-A

-G

Eloch

oman

Sandy

Lewis

Wash

ougal

Clacka

mas

Cowlitz

Kalam

a

Upper G

orge

Young

s Bay

Big C

reek

Salm

on

Total Score for Chum - Adults and Juveniles

0

500

1000

1500

2000

2500

Gra

ys

Lower G

orge

M-A

-G

Clatsk

anie

Scapp

oose

Eloch

oman

Sandy

Lewis

Wash

ougal

Clacka

mas

Cowlitz

Kalam

a

Upper G

orge

Young

s Bay

Big C

reek

Salm

on

Fall Late Fall Spr. Fall Sum. Win. Sum.Youngs Bay 46 23 486 50 605Big Creek 46 23 729 150 948Clatskanie 150 225 729 729 1833Scappoose 75 225 486 486 1272Grays/Chinook 288 2025 243 81 2637Eloch./Skam. 450 150 312 486 1398Mill/Aber./Ger. 1350 450 1458 936 4194Sandy 96 225 450 75 486 486 1818Clackamas 48 675 48 729 729 2229Lower Cowlitz 144 52 486 730Coweeman 1350 729 729 2856SF Toutle 243 162 1176NF Toutle 729 729 2229Upper Cowlitz 675 972 1458 3174Cispus 675 972 1458 3174Tilton 69 150 225 513Kalama 432 144 48 729 1458 52 2863NF Lewis 1350 675 312 75 468 3630EF Lewis 162 486 162 1560Salmon 23 23 25 25 96Washougal 675 75 104 729 104 1687Lower Gorge 48 1350 162 324 1884Upper Gorge 48 50 2187 2414White Salmon 150 48 327Hood 432 225 486 324 324 1791

Population

675

Chinook

8148

75

Coho

675 48

69

Chum Steelhead

48

Total Score

Total Score for All Species - Adults and Juveniles

0

500

1000

1500

2000

2500

3000

3500

4000

4500

Mill/

Aber./

Ger.

NF Lew

is

Upper C

owlitz

Cispus

Kalam

a

Cowee

man

Gra

ys/C

hino

ok

Upper G

orge

NF Tout

le

Clacka

mas

Lower G

orge

Clatsk

anie

Sandy

Hood

Wash

ougal

EF Lew

is

Eloch

./Ska

m.

Scapp

oose

SF Tou

tle

Big C

reek

Lower C

owlitz

Young

s Bay

Tilton

White

Salm

on

Salm

on

Objective 2: Existing Data & Gaps Objective 2: Existing Data & Gaps

• Confirm/finalize inventory of existing monitoring data (296)• Compile any important LCR datasets not already obtained

(127)• Create data flow diagrams for each data collection effort

• Develop metadata for each existing monitoring data collection effort

• Develop standards for terminology (a data dictionary)• Document sampling protocols

• Document data availability schedule

• Detail current data storage, analysis, reporting & dissemination infrastructure

• Identify needed data exchange templates for sub-regional & regional data sharing

• Gather input on desired features of a data management system from data contributors

• Confirm/finalize inventory of existing monitoring data (296)• Compile any important LCR datasets not already obtained

(127)• Create data flow diagrams for each data collection effort

• Develop metadata for each existing monitoring data collection effort

• Develop standards for terminology (a data dictionary)• Document sampling protocols

• Document data availability schedule

• Detail current data storage, analysis, reporting & dissemination infrastructure

• Identify needed data exchange templates for sub-regional & regional data sharing

• Gather input on desired features of a data management system from data contributors

Habitat ISTM – Objective 1 in ProgressHabitat ISTM – Objective 1 in Progress

PNAMP Partners (start with recovery

plans)

Spatial Scales Sampling Interval Need/Rationale Certainty

• Gaps

• Commonalities

• Rosetta Stone

Very High Level Indicator

High Level Indicators

Indicators or Reporting Measures

Metrics Measurements