Methods and Data Comparability Board Stream Physical Habitat
Methods and Data Comparability Board Stream Physical Habitat Data Elements: Request for ACWI Approval Herndon, VA, Feb. 10, 2009
Stream Physical Habitat Data Elements q Background q Objectives q Description of new data elements
Workgroup Members and Liaisons State/Interstate/Academia *Revital Katznelson, UC-Berkeley Ext ESAR / WQX Le. Anne Astin, Fairfax Co. , VA Mike Henebry, State of IL Bio. Data /Bio. Share Mike Miller, State of WI Nonprofit/Volunteer Eric Russell, Surfrider Foundation Federal *Faith Fitzpatrick, USGS Eli Greenbaum, ORNL Eric Vowinkel, USGS Dan Sullivan, USGS Karen Blocksom, EPA Chuck Spooner, EPA Tom Busiahn, USFWS Phil Kaufmann, EPA
Objectives Promote methods and data comparability through improved data documentation Identify commonalities among existing PHAB Protocols and Data Management Systems Support ESAR/WQX teams’ effort in integrating PHAB Results and metadata into their data exchange tools Develop a list of core data elements for PHAB, and integrate them with existing WQDE modules.
What is physical habitat? Habitat = the set of conditions that support and control species distribution and abundance Physical habitat = the physical structure (in this case, of streams). Includes some “biological” elements like vegetation that affect structure
Elements of physical habitat Stream size and gradient Sinuosity Substrate size and stability Habitat complexity and cover Woody debris size and abundance Residual pool dimensions and frequency Riparian vegetation cover and structure Anthropogenic disturbances Channel-riparian interaction
Spatial elements – typical QW sampling site Typical Stream Chemistry Sampling: Point
Spatial elements – habitat survey
Data elements are modular 1. 0 Contact 1. 1 Data source (data owner, sampling entity, etc. ) 1. 1. 1 2. 0 Results 2. 1 Result Value 2. 2. 1 Organization formal name Result value unit of measure 3. 0 Reason for sampling 4. 0 Date/Time Etc.
New data elements 3. 0 Reasons for Sampling 3. 1 Reason for Sample Collection 3. 1. 1 Spatial Intent 3. 1. 2 Temporal Intent
New data elements (cont) 6. 0 Sample Collection 6. 1 Sample Type 6. 1. 2 Habitat Category Sampled 6. 1. 3 Sample spatial component 6. 1. 4 Parent spatial framework 6. 1. 4. 1 Parent location relative to permanent station
6. 1. 2 Habitat category sampled Examples: Channel hydraulics Channel geometry Streambed substrate/sediment Bank/riparian measurements Habitat complexity and cover Flow/hydrology Multiple/integrated
6. 1. 3 Sample spatial component and 6. 1. 4 Parent spatial framework 6. 1. 4 6. 1. 3 Transect #3
6. 1. 3 Sample spatial component and 6. 1. 4 Parent spatial framework 6. 1. 4 6. 1. 3 Transect point Transect #3 Stream reach
6. 1. 4. 1 Parent location relative to permanent station Endpoint of sampling reach 5. 0 Location of permanent station
New data elements (cont) 6. 5 Sample Collection Method 6. 5. 4 Sample Collection Criteria Indicate any particular conditions that must be present in order for sample to be valid Examples: Max. depth must be less than 1 m in order to sample Flow velocity must be less than 0. 3 m/sec Etc.
New data elements (cont) 7. 0 Sample Analysis and QA/QC 7. 9. 2 Sample Batch ID All samples collected in one trip that share field duplicates, blanks, and other quality checks for sample integrity 7. 9. 3 Result Batch ID All the field measurement results that share repeated measurements and other quality checks for reproducibility, or that were collected by one instrument between a calibration and the subsequent accuracy check
Future Directions Outreach Presentations, workshops Demonstrations Update User Guide Incorporate new data elements Include examples for clarity Provide tools
Questions & Resolution troutnut. com
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