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![Page 1: Developing a rapid assessment protocol for headwater drainage features Les Stanfield, Southern Science Information Section, MNR and Mari Veliz, Ausable.](https://reader035.fdocuments.in/reader035/viewer/2022062720/56649f135503460f94c2722e/html5/thumbnails/1.jpg)
Developing a rapid assessment protocol for
headwater drainage features
Les Stanfield,Southern Science Information Section, MNR
and Mari Veliz,
Ausable Bayfield Conservation Authority
A presentation to: The Eastern Ontario Headwater Workshop,
February 25, 2011
![Page 2: Developing a rapid assessment protocol for headwater drainage features Les Stanfield, Southern Science Information Section, MNR and Mari Veliz, Ausable.](https://reader035.fdocuments.in/reader035/viewer/2022062720/56649f135503460f94c2722e/html5/thumbnails/2.jpg)
Outline
• Background on the issue – spatial and temporal variability is important
• Objectives of Research • Approach • Results• Limitations• Next Steps
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Spatial Variability
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Temporal Variability
Spring
Summer
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Research Objectives
• Develop and test a new protocol for evaluating headwater drainage features (HDFs)
• Identify HDFs that contribute significant sediment and related nutrients to downstream
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Field Sheet Development
March 2010 August 2010
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Analysis
• Compare classifications between visits.• Combine up and downstream assessments
Attribute class
1 2 3
1 5 0 0
2 0 5 0
3 0 0 5
Simple Question: “Can two crews agree on a class between visits?”
If not, what do we need to fix!
Visit 1
Visit 2
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Feature Type (spring/summer)
defined chann
el braidedno
channel tiled wetland swale ditch
defined 8 1 3 1 2
channel 2 1
braided 2 1
no channel 1 3 1 3
tiled 1 2
wetland 2 1 1 3
swale 2 1 2
ditch 9
Spring: crews identified many more defined channels Summer: more features had disappeared (no channel)Summer: tendency to classify as ditches
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Flow condition(spring/summer)
Spring: much more common to be flowing!
dry standing interstitial minimalsubstanti
al
dry 9 2
standing 15
interstitial
minimal 11 4
substantial 2 3 3
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Sediment Transport (spring/summer)
Spring: much more likely to identify evidence of sediment transport
agreement where not observed
none rillsrills&gully gully outlet
none 71 2 1
rills 3
rills&gully
gully 10 1 1
outlet 2 1 1
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Sediment Volume1
(spring/summer)
Conclusion: not surprisingly, there is a poor correlation between classification of sediment volume seasonally!
1Criteria changed, compare depth of material to more exploratory
none minimal moderatesubstanti
alextensiv
e
none 7 12 8 6 2
minimal 2 3 4 3
moderate 1 1 1
substantial 1 1
extensive 1 2
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Riparian Vegetation (spring/summer)
In general good agreement, but room for improvement!
none lawn crops pasture meadow scrub forest
none 4 1 2 1
lawn 1 18 2 2
crops 3 5 15 4 4 1
pasture 1 1 7 15 1 meadow 2 2 2
scrub 1
forest 1 4
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Summer comparison
• Fewer sites (16)• TRCA verses SSIS • Minimal (i.e., 2 hours training), • Written protocol ... But didn’t read it!
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Feature Type (summer)
defined channe
l braided
no channe
l tiledwetlan
d swale ditch
defined 6 1 1 1 1
channel
braided
no channel 1
tiled
wetland 1
swale 1
ditch 1 3Too many problems with classifying defined channels!
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Flow condition (summer)
Classification dependent on local rain events
dry standing interstitial minimalsubstanti
al
dry 6 2
standing 2 3
interstitial
minimal 1
substantial 2
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Sediment Transport (summer)
More difficult to observe these features in summer, unless we chose really good sites ....
none rillsrills&gully gully outlet
none 31 1
rills
rills&gully
gully
outlet
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Sediment Volume1 (summer)
Conclusions: poor correlation in the summer between classification of sediment volume
between crewssummer classification is not good for this attributeCrew 2 tended to classify in higher categories
none minimal moderate substantial extensive
none 2 4 4
minimal 1 2 3
moderate 3 1 2 2
substantial 4 2 2 8
extensive 1 1
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Riparian Vegetation(summer)
Conclusions:good agreement, but too many categories
none lawn crops pasture
meadow scrub forest
none 2 4
lawn 3 4 1 1 2
crops 4
pasture 1meadow 2 2 2 1
scrub 1
forest 2 2
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Bankfull width(summer)
Conclusions:often one crew saw a defined channel; and the other did not!
< 2 2-5 5-10 10-40 >40
< 2 1 2
2-5 7 2 2
5-10 3 3 2
10-40 4 3
>40 1 2
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Other Indicators
• Site Features: agreed 91% of time • but too many (20) times one crew observed a
feature and the other did not • Number of features: where multiple
features existed – not well documented• Gradient: highly variable!
low medium high
low 7 7 6
medium 5 5 1
high
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Priority Problem Sites• 4 sites identified in spring (high loads of
sediment)
Summer survey• All 4 categorized as no evidence of sediment
transport (gullies rills etc.,)• Sediment volume:
– Upstream: • 1-moderate; 3 extensive
– Downstream:• 1-moderate; 2- substantial, 1 extensive
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Conclusions• HDFs continue to be challenging to classify• Relearned the difficulties associated with
visually based surveys – Crews (and trainers!) tend to underestimate
the difficulty• Sediment transport and deposition easier to see
in spring ..... too many categories • Need better training and more time at each site
to ensure all attributes observed (too much assuming!)
• Some things shouldn’t try to visually classify (re gradient)
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Next Steps
• Need clearer protocol with warnings in each section, photos to ensure followed
• Better training (i.e., OSAP videos, full day course)
• Re-test repeatability against as yet unknown methods for measuring characteristics
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Thanks!
Lake Simcoe Clean Up Fund The Oak Ridges Moraine Foundation Regional Municipality of Peel Regional Municipality of York University of Waterloo Ausable Bayfield Conservation Authority, Upper Thames Region Conservation Authority, Credit Valley Conservation, Toronto Region Conservation Authority, Lake Simcoe and Region Conservation Authority, Rideau Valley Conservation Authority,Ministry of Natural Resources , Fisheries and Oceans Canada, Great Lakes Sustainability Fund, Toronto Remedial Action Plan Headwater Steering Committee Southern Ontario Stream Monitoring and Research Team
Many dedicated field crews and volunteers