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Overview of Riparian Data Issues

Detailed overview of field reviews and quality assurance methods for riparian data collection in various streams, highlighting challenges and training needs.

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Overview of Riparian Data Issues

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  1. Overview of Riparian Data Issues 2005 Field Season

  2. Quality Assurance / Mentoring • Vanderhoof – 2 streams • Kalum – 2 streams • Chilcotin – 2 streams • Campbell River – 1 stream • North Island – 1 stream • South Island – 2 streams

  3. Field work – it’s the best!

  4. Summary From Field Reviews Diligent assessment was undertaken …. and with more help … • Location of the reach sample & POC • Hydrologic connectivity • Pool and riffle features • Recently eroded banks • Channel morphology

  5. Channel morphology …

  6. Data “Cleaning” – a part of Quality Assurance Discovering Strengths … • Assigning level of function • Photographs - a picture is worth a thousand words! • Sketches – worth their weight in gold! • Data validation – linkages to notes & comments

  7. Data “Cleaning” – a part of Quality Assurance Discovering Needs … • Transcription Errors - Anthropology 101! • Data omissions / gaps& discrepancies • Interpretations (e.g., down-cutting) – don’t assume anything! • Repetitive data deficits

  8. Data “Cleaning” – a part of Quality Assurance Discovering Training Needs … • Impact Sources – what are these?!?! • What is a pool and riffle? • Banks – undercut, eroded & deep rooted • Browse – what browse? • Crossings– snow bridges!

  9. Sediment sources – ROADS!

  10. Data “Cleaning” – a part of Quality Assurance And More Training Needs … • Stumps – what do they tell us? • Cascades or Steps? • Streams – “To be or not to be!” • Debris – recent or ? • Heterogenous or homogenous?!? • Thalweg – huh?

  11. S4 – yeah, tell me another one!

  12. Data “Quality” Issues Quality is affected by…. TIMING • Timing – Benthic critters & cold • Timing – Storm flows and No flows? • Timing – 2 winters since harvest? • Timing – snow covered riparian area • Timing– data cleaning bottle-neck

  13. Brrrr …. It’s a bit cold to find benthic invertebrates!

  14. Timing – a wee bit difficult to evaluate riparian areas under snow!

  15. Data “Quality” Issues Credibility of the data …. • Timing issues – Affects the reliability • Impact Sources– Vague or detailed? • Data validation– Does data line up?

  16. Impact sources: Let’s be more specific than simply “forestry” S4 stream crossing!

  17. Continuous Improvement PRACTICE MAKES PERECT … REVIEW & REFLECT … PRESS ON!

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