Presentation on theme: "5/10/2015 Stream Physical Habitat Data Elements: Request for ACWI Approval Methods and Data Comparability Board Herndon, VA, Feb. 10, 2009."— Presentation transcript:
5/10/2015 Stream Physical Habitat Data Elements: Request for ACWI Approval Methods and Data Comparability Board Herndon, VA, Feb. 10, 2009
5/10/2015 Stream Physical Habitat Data Elements Background Objectives Description of new data elements
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
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.
5/10/2015 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
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
5/10/2015 Typical Stream Chemistry Sampling: Point Spatial elements – typical QW sampling site
5/10/2015 Spatial elements – habitat survey
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.
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
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 18.104.22.168 Parent location relative to permanent station
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
5/10/2015 22.214.171.124 Parent location relative to permanent station 5.0 Location of permanent station Endpoint of sampling reach
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.
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
5/10/2015 Future Directions OOutreach PPresentations, workshops DDemonstrations UUpdate User Guide IIncorporate new data elements IInclude examples for clarity PProvide tools