1. 5/10/2015 Stream Physical Habitat Data Elements: Request for ACWI Approval Methods and Data Comparability Board Herndon, VA, Feb. 10, 2009

2. 5/10/2015 Stream Physical Habitat Data Elements  Background  Objectives  Description of new data elements

3. 5/10/2015 Workgroup Members and Liaisons State/Interstate/Academia *Revital Katznelson, UC-Berkeley Ext LeAnne Astin, Fairfax Co., VA Mike Henebry, State of IL Mike Miller, State of WI Nonprofit/Volunteer Eric Russell, Surfrider Foundation ESAR / WQX BioData /BioShare *Faith Fitzpatrick, USGS Eli Greenbaum, ORNL Eric Vowinkel, USGS Dan Sullivan, USGS Karen Blocksom, EPA Chuck Spooner, EPA Tom Busiahn, USFWS Phil Kaufmann, EPA Federal

4. 5/10/2015 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.

5. 5/10/2015 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

6. 5/10/2015 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

7. 5/10/2015 Typical Stream Chemistry Sampling: Point Spatial elements – typical QW sampling site

8. 5/10/2015 Spatial elements – habitat survey

9. 5/10/2015 Data elements are modular  1.0 Contact  1.1 Data source (data owner, sampling entity, etc.) 1.1.1 Organization formal name  2.0 Results  2.1 Result Value 2.2.1 Result value unit of measure  3.0 Reason for sampling  4.0 Date/Time  Etc.

10. 5/10/2015 New data elements 3.0 Reasons for Sampling  3.1 Reason for Sample Collection  3.1.1 Spatial Intent  3.1.2 Temporal Intent

11. 5/10/2015 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

12. 5/10/2015 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

13. 5/10/2015 6.1.3 Sample spatial component and 6.1.4 Parent spatial framework 6.1.4 Transect #3 6.1.3

14. 5/10/2015 6.1.3 Sample spatial component and 6.1.4 Parent spatial framework Transect point 6.1.3 Transect #3 6.1.4 Stream reach

15. 5/10/2015 6.1.4.1 Parent location relative to permanent station 5.0 Location of permanent station Endpoint of sampling reach

16. 5/10/2015 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.

17. 5/10/2015 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

18. 5/10/2015 Future Directions OOutreach PPresentations, workshops DDemonstrations UUpdate User Guide IIncorporate new data elements IInclude examples for clarity PProvide tools

19. 5/10/2015 Questions & Resolution troutnut.com