Greeline to Greenline Width Greeline to Greenline Width (GGW)(GGW)

Non vegetated Channel width

GGWGGW

The The non-vegetated distance non-vegetated distance between between the greenlines on each side of the the greenlines on each side of the stream.stream.

Using “Greenline rules” adds Using “Greenline rules” adds precision to the measurementprecision to the measurement

Consistent GGW measurements Consistent GGW measurements between observers validates the between observers validates the greenline rulesgreenline rules

Greenline-to-greenline width

Why take out the Vegetated Islands?Why take out the Vegetated Islands?

• GGW approximates the scoured, or GGW approximates the scoured, or non-vegetated width of the channel.non-vegetated width of the channel.•Including islands adds width bias to Including islands adds width bias to the estimate. the estimate. •Typically, we are estimating the Typically, we are estimating the width of the “active” channel which width of the “active” channel which normally excludes vegetated bars and normally excludes vegetated bars and islands.islands.

Excludes veg

Includes bar

AB

C BA

Exclude Vegetation

B

Using a Laser Range FinderUsing a Laser Range Finder

Ө

GGW = cos D

D

Ө x

Measures Horizontal Distance (Accuracy - .01 meter)

Long Tom CreekLong Tom CreekGGWGGW

Upstream – light impacts- 4m wide

Downstream – heavy impacts – 8 m wide2007

Long Tom Creek - RepeatabilityLong Tom Creek - Repeatability

Non-Vegetated Width Variability in Means, by Stream

0

1

2

3

4

5

6

7

8

WF Long Tom Lower Long Tom Upper Long Tom

Stream reach

Wid

th (

m)

TimR1

ErvRTimL

TimR2ErvL

1.78 (1.54-1.96)

6.48 (6.33-6.64)

4.39 (4.21-4.48)

Long Tom - Spatial VariabilityLong Tom - Spatial VariabilityWidths by distance along WF Long Tom Creek

0.00

2.00

4.00

6.00

8.00

10.00

12.00

0 50 100 150 200 250

Distance upstream (m)

Wid

th (

m)

Right bank

Left bankChannel shape

N = 125 each side

alpha = .05

Conclusions - GGWConclusions - GGW

Reasonably unbiased: measured Reasonably unbiased: measured datadata

Repeatable: Precision +- 5%Repeatable: Precision +- 5% Accurate: Alpha = .05 with sample Accurate: Alpha = .05 with sample

sizes of from 50 to 100sizes of from 50 to 100 Fast: <1 hour with laser range Fast: <1 hour with laser range

finder, 1.5 hours with rodfinder, 1.5 hours with rod

Streambank StabilityStreambank Stability

Scour Line

StreambankUncovered/Unstable (UU)

Frame

On

Greenline

What are streambanks?What are streambanks?

That portion of the channel cross section: - above the scour line, and - below the lip of the first bench.

Streambanks

Scour Line: The lower elevational limit of a streambank. On erosionsal banks, the scour line is the elevation of seasonal scour – often marked by undercut sod.

Scour line: On depositional banks, the scour line is the lower limit of sod-forming or perennial vegetation – or the potential lower limit of sod-forming vegetation

Bank

Scour line

Bank

Bank

Scour line

What is the streambank evaluated? Above the Scour Line and at the steepest angle to the water surface.

Top of Bank – lip of first bench

On erosional banks the measurement extends up to the bench or top of cutbank. On bars, it extends up to the top of the depositional feature: approximately bankfull level

The first bench is the first relatively flat area above the scour line or edge of the water

First Bench

Scour Line

StepStep 1 Depositional or Erosional? 1 Depositional or Erosional?

Depositional: Depositional: deposited deposited bars – Point bars, lateral barsbars – Point bars, lateral bars

Erosional: Erosional: all other banks all other banks 

StepStep 2 Covered or Uncovered 2 Covered or Uncovered Covered: Covered: at least 50% foliar cover at least 50% foliar cover

of perennial vegetation (including of perennial vegetation (including roots); at least 50% cover of cobbles roots); at least 50% cover of cobbles six inches or larger; at least 50% six inches or larger; at least 50% cover of anchored large woody debris cover of anchored large woody debris (LWD) with a diameter of four inches (LWD) with a diameter of four inches or greater; or greater;

Uncovered: Uncovered: applies to all banks that applies to all banks that are not “Covered” as defined above.are not “Covered” as defined above.

Erosional (E)

Uncovered (U)

Depositional (D)

Covered (C)

StepStep 3 IF “Erosional”, are any of 3 IF “Erosional”, are any of the following present….the following present….

Fracture: a visible crack is observed. The fracture has not separated into two separate components or blocks of a bank. Cracks indicate a high risk of breakdown. The fracture feature must be at least ¼ of a frame length or greater than about 13 cm of bank length. Slump: streambank that has obviously slipped down resulting in a separate block of soil/sod separated from the bank. Slough or “sluff soil material has fallen from and accumulated near the base of the bank. “Slough” typically occurs on banks that are steep and bare. Eroding: applies to banks that are bare and steep (within 10 degrees of vertical), usually located on the outside curves of meander bends in the stream.

FractureSlumps

Depositional (D)

Covered (C)

Erosional (E)

Uncovered (U)

Slough (SL)

Trampling by large herbivores has caused obvious “slumping.” The slump is greater than one-fourth of the plot length and is recorded (S).

There is a hoofprint in the bank, but no slump or slough is associated with the hoofprint; therefore, there is no indicator of instability so covered (C) and absent (A) are recorded.

Where is the scour line?

Scour line

Top of bank

Where is the top of the bank?

What about entrenched What about entrenched channels?channels?

The key: whether slough enters the stream

Where is the first Bench?

Slough enters stream – at or above Slough enters stream – at or above the angle of reposethe angle of repose

Residual Pool and Pool Residual Pool and Pool FrequencyFrequency

Lisle (1987) suggested a quick Lisle (1987) suggested a quick method for measuring pool method for measuring pool

frequency and residual depthfrequency and residual depth::1.1. Measure distance between depth Measure distance between depth

measurements along the thalweg. measurements along the thalweg.

2.2. At thalweg depth measurements note At thalweg depth measurements note the habitat (pool or riffle crest)the habitat (pool or riffle crest)

3.3. To compute residual depth subtract To compute residual depth subtract depth at riffle crests from maximum depth at riffle crests from maximum pool depthpool depth

4.4. The pool frequency is the number of The pool frequency is the number of pools per distance along the thalweg.pools per distance along the thalweg.

Pool – Riffle Sequence – Pool – Riffle Sequence – Woody CreekWoody Creek

Potential Indicator of fish habitat Potential Indicator of fish habitat qualityquality

Pools are vital components of fish habitat Pools are vital components of fish habitat in streams, especially for larger fishin streams, especially for larger fish

Mossop and Bradford (2006) found a Mossop and Bradford (2006) found a positive correlation between mean positive correlation between mean maximum residual pool depth and the maximum residual pool depth and the density of Chinook salmon density of Chinook salmon

FWS – Habitat Suitability Index FWS – Habitat Suitability Index for Cutthroat Troutfor Cutthroat Trout

Influenced by grazing Influenced by grazing disturbancesdisturbances

In a review of the literature, Powell et al. (2000) concluded that channel characteristics, including channel width and depth, as well as bed material were often reported to be affected by livestock grazing in riparian areas.

Testing RepeatabilityTesting Repeatability

Conducted 4 tests in 2009Conducted 4 tests in 2009• Little Truckee (9 crews)Little Truckee (9 crews)• SF Beaver (4 crews)SF Beaver (4 crews)• Summit Creek (6 crews)Summit Creek (6 crews)• Smith Creek (3 crews)Smith Creek (3 crews)

Little Truckee RiverLittle Truckee River Pool structure – ComplexPool structure – Complex RESIDUAL DEPTH RESIDUAL DEPTH

• Average Difference between observers = .01 Average Difference between observers = .01 metermeter

• Maximum Difference = .13 metersMaximum Difference = .13 meters• Coefficient of variation (SD/Mean) = 24%Coefficient of variation (SD/Mean) = 24%

POOLS PER MILEPOOLS PER MILE• Average Difference between observers = 12 per Average Difference between observers = 12 per

milemile• Maximum Difference = 21 per mileMaximum Difference = 21 per mile• CV = 16%CV = 16%

Smith CreekSmith Creek POOL STRUCTURE - simplePOOL STRUCTURE - simple RESIDUAL DEPTH RESIDUAL DEPTH

• Average Difference between observers Average Difference between observers = .01 meter= .01 meter

• Maximum Difference = .1 metersMaximum Difference = .1 meters• Coefficient of variation (SD/Mean) = 11%Coefficient of variation (SD/Mean) = 11%

POOLS PER MILEPOOLS PER MILE• Average Difference between observers = Average Difference between observers =

7 per mile7 per mile• Maximum Difference = 10 per mileMaximum Difference = 10 per mile• CV = 16%CV = 16%

Substrate Substrate

Size distribution and Percent FinesSize distribution and Percent Fines

SubstrateSubstrate Channel instability often leads to channel Channel instability often leads to channel

widening, where the energy balance widening, where the energy balance between erosion and deposition shifts between erosion and deposition shifts toward deposition and therefore fining of toward deposition and therefore fining of the substrate (Powell et al. 2000). the substrate (Powell et al. 2000).

Such increases in fines may degrade Such increases in fines may degrade aquatic habitat by restricting the living aquatic habitat by restricting the living spaces of substrate-dwelling organisms spaces of substrate-dwelling organisms and by limiting the oxygen transfer to and by limiting the oxygen transfer to incubating eggs (Powell et al. 2000)incubating eggs (Powell et al. 2000)

SubstrateSubstrate

Pebble counting is a relatively efficient way to Pebble counting is a relatively efficient way to measure substrate size distributions and percent measure substrate size distributions and percent finesfines

Site variability can be problematic. Pebble counts Site variability can be problematic. Pebble counts normally detect change when relatively high normally detect change when relatively high magnitude impacts are evaluated. The magnitude impacts are evaluated. The confidence interval is 11% using 200 particles confidence interval is 11% using 200 particles minimum per site. The confidence interval minimum per site. The confidence interval narrows with more particles.narrows with more particles.

Tendancy to underestimate Tendancy to underestimate percent finespercent fines

As noted by Bunte and Abt (2001), using As noted by Bunte and Abt (2001), using different methods to sample substrate at different methods to sample substrate at the same location may yield different the same location may yield different results. Thus trend over time should be results. Thus trend over time should be based upon the same technique applied to based upon the same technique applied to each sampling event. each sampling event.

Spatial variabilitySpatial variability

Sampling the entire length of the DMA (20 Sampling the entire length of the DMA (20 channel widths) is recommended to channel widths) is recommended to ensure spatial variability is accounted for ensure spatial variability is accounted for in the sample scheme. If not, variability in the sample scheme. If not, variability through time may reflect spatial through time may reflect spatial heterogeneity more than actual heterogeneity more than actual adjustments in substrate size distributions. adjustments in substrate size distributions.

Substrate Size DistributionSubstrate Size Distribution

At 20 plot locations (200 samples)At 20 plot locations (200 samples)

Sampled between the greenlinesSampled between the greenlines

10 particles per plot (cross 10 particles per plot (cross section) selected at heel and toe section) selected at heel and toe across the channel from greenline across the channel from greenline to greenline – total 200 particlesto greenline – total 200 particles

Can lay measuring rod across Can lay measuring rod across small streams to obtain sampling small streams to obtain sampling intervalsintervals

Small streams – use a Small streams – use a measuring rodmeasuring rod

SourceSource

The guidelines on bed material sampling The guidelines on bed material sampling provided by Bunte and Abt (2001) include provided by Bunte and Abt (2001) include an excellent summary of the literature and an excellent summary of the literature and the principal base reference for this the principal base reference for this protocol. protocol.

Why the Substrate TemplateWhy the Substrate Template??““Operator training is extremely important. When Operator training is extremely important. When

selecting particles from a predefined selecting particles from a predefined streambed location, or even when measuring streambed location, or even when measuring particle sizes in a preselected sample of rocks, particle sizes in a preselected sample of rocks, there is less variability between the results of there is less variability between the results of experienced operators than between those experienced operators than between those obtained by novices. Field personnel need to obtained by novices. Field personnel need to be trained to perform procedures accurately, to be trained to perform procedures accurately, to avoid bias, and to use equipment that reduces avoid bias, and to use equipment that reduces operator induced error.” (Bunte and Abt (2001)operator induced error.” (Bunte and Abt (2001)