1 / 49

DATA COLLECTION METHODS FOR NUTRIENTS IN TEXAS STREAMS

DATA COLLECTION METHODS FOR NUTRIENTS IN TEXAS STREAMS. Evaluation of Periphyton Abundance Joint Project In cooperation with the TCEQ Water Quality Standards Program. Project Team. Problem - Development of Nutrient Criteria for S treams. Chlorophyll-a

amir-bryan
Download Presentation

DATA COLLECTION METHODS FOR NUTRIENTS IN TEXAS STREAMS

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. DATA COLLECTION METHODS FOR NUTRIENTS IN TEXAS STREAMS Evaluation of Periphyton Abundance Joint Project In cooperation with the TCEQ Water Quality Standards Program

  2. Project Team

  3. Problem - Development of Nutrient Criteria for Streams Chlorophyll-a • Measures suspended algae in the water column • Often included as part of routine monitoring • Good indicator of nutrient enrichment in lakes and reservoirs but generally not in streams

  4. Problem - Development of Nutrient Criteria for Streams Periphyton - attached macro- and micro-algae • Often a better response variable to nutrient enrichment in streams than chlorophyll-a • Historical data on periphyton abundance are sparse

  5. Project Purpose To evaluate four field methods for monitoring attached macroalgae and microalgae in wadeable streams • Quantitative • Scrape Method • Semi-Quantitative or Qualitative • Viewing Bucket Method • Transect Method • Photo/Grid Method

  6. Quantitative Scrape Method Source: Derived from the USGS National Water-Quality Assessment Program(Moulton II et al., 2002) Moulton II, Stephen R., Jonathan G. Kennen, Robert M. Goldstein, and Julie A. Hambrook. 2002. Revised Protocols for Sampling Algal, Invertebrate, and Fish Communities as Part of the National Water-Quality Assessment Program. U.S. Geological Survey.

  7. Quantitative Scrape Method Obtain a composite sample from the richest target habitat (RTH) defined in descending priority: • Cobble (epilithic habitat) • Gravel (epilithic habitat) • Woody snags (epidendric habitat) • Macrophyte beds (epiphytic habitat)

  8. Quantitative Scrape Method Scrape designated number of samples for composite based on substrate Gravel (epilithic habitat) Cobble (epilithic habitat) Woody Snag (epidendric habitat)

  9. Quantitative Scrape Method Measure in the Field - • Area of substrate sampled • Volume of rinse water used • Volume of each of two subsamples to be submitted for laboratory analysis

  10. Quantitative Scrape Method Subsample Preservation - • Field filtered through a 0.7 micrometer (μm) glass fiber filter • Filter placed in labeled Ziploc bag and stored frozen (on dry ice)

  11. Quantitative Scrape Method Laboratory Analysis - • Ash Free Dry Matter (AFDM) and Chlorophyll-a (CHLA) • Results calculated in grams per square centimeter (g/cm2) based on field measurements of area and volume sampled

  12. Viewing Bucket Method Source: Derived from the Rapid Bioassessment Protocol developed by USEPA (Barbour et al., 1999) Barbour, M.T., J. Gerritsen, B.D. Snyder, and J.B. Stribling. 1999. Rapid Bioassessment Protocols for Use in Streams and Wadeable Rivers: Periphyton, Benthic Macroinvertebrates and Fish, Second Edition. EPA 841-B-99-002. U.S. Environmental Protection Agency; Office of Water; Washington, D.C.

  13. Viewing Bucket Method Uses a 5 gallon plastic bucket with a transparent bottom that contains a fixed grid of 50 dots

  14. Viewing Bucket Method Dots characterized as: • Macroalgae • Microalgae • Bare Also measured - • Maximum length of macroalgae • Thickness of microalgae (6 transects with 3 locations each totaling 18 locations per station)

  15. Transect Method Source: Derived from field protocols developed by Utah State University (Hawkins, et al. 2001) Hawkins, Charles, Jeff Ostermiller, Mark Vinson, and R. Jan Stevenson. 2001. Stream Algae, Invertebrate, and Environmental Sampling Associated with Biological Water Quality Assessments: Field Protocols. Utah State University.

  16. Transect Method 3 diagonal transects uniformly subdivided into 6 sampling locations (total 18 locations) At each sampling point, pick up the nearest piece of substrate

  17. Transect Method Document: • Percent coverage of moss • Percent coverage of macroalgae • Estimate of micro-algae thickness

  18. Photo/Grid Method Source: Derived from an algae growth study performed by Paul Price Associates, Inc. and Alan Plummer and Associates, Inc. Paul Price Associates, Inc. and Alan Plummer and Associates, Inc. 1993. Study of Algae Growth in the Upper Brushy Creek Watershed.

  19. Photo/Grid Method Photos taken • Upstream and downstream views • 5 representative locations with 1 square meter (m2) grid

  20. Photo/Grid Method Percent coverage of algae estimated from photos Thickness and length of algae also recorded

  21. Additional Parameters • Flow • Water samples analyzed for: • CHLA & Pheophytin-a • Total NO2-N+NO3-N • Total Phosphorus (TP) • Total Kjeldahl Nitrogen (TKN) • Habitat Assessment (year 1)

  22. Project Sampling Stations • 30 stations – Lower Brazos & Colorado River Basins • Selected to represent a variety of water quality & substrate conditions • All existing TCEQ SWQM Stations with biological data within the last assessment period (2001-2007)

  23. Monitoring Stations

  24. Historical TKN Concentrations

  25. Historical TP Concentrations

  26. Historical CHLA Concentrations

  27. Project Objective – Year 1 To identify which Semi-Quantitative or Qualitative Method was best related to the Quantitative method • Quantitative • Scrape Method • Semi-Quantitative or Qualitative • Viewing Bucket Method • Transect Method • Photo/Grid Method

  28. Year 1 Results

  29. General Assessment – Scrape Method • Sampling biased to RTH • Can be performed in most water depths and turbidities • Lots of small gear needed, onsite filtration, requires dry ice for freezing filters • Gravel substrates include lots of sediment • Very time intensive, needs lots of attention to detail to properly sample, field filter and record all needed information • Lab analysis of samples required

  30. General Assessment – Viewing Bucket Method • Transects random • Requires decent visibility to substrate • Needs limited equipment • Fairly easy and relatively quick to implement with little training • Sometimes difficult keeping count of dots

  31. General Assessment – Transect Method • Transects random • Can be performed in most water depths and turbidities • Needs only a tag line for transect • Simplest of 4 methods to implement

  32. General Assessment – Photo/Grid Method • Biased toward observed algae • Requires good visibility to substrate • Equipment limited, construction of PVC frame simple, camera generally standard equipment • Very simple to implement , but requires documenting several photos per station and post-processing • With grid, % cover might be better estimated in the field than from photos

  33. Year 1 Results Viewing Bucket vs Quantitative Scrape Method

  34. Year 1 Results Transect vs Quantitative Scrape Method

  35. Year 1 Results Photo/Grid vs Quantitative Scrape Method

  36. Project Objective 1 – Year 2 Evaluate relation of selected Semi-Quantitative with Qualitative Method with 2 years of data • Quantitative • Scrape Method • Semi-Quantitative or Qualitative • Transect Method (selected) – modified to include length of longest macroalgae

  37. Project Objective 2 – Year 2 Evaluate relationships of periphyton abundance to: • Instream Water Quality • Habitat Parameters

  38. Year 2 Results

  39. Year 2 - Transect vs Quantitative Scrape Method

  40. Correlation with Instream Water Quality

  41. Scrape Method & Habitat Parameters

  42. Structural Equation Modeling (SEM) • Multivariate analysis technique that includes specialized versions of other analysis methods • Can be used for confirmatory or exploratory evaluation of model structure (i.e., the nature of processes potentially affecting a phenomenon)

  43. SEM with Scrape Method - CHLA

  44. SEM with Scrape Method - AFDM

  45. SEM with Transect Results - Macroalgae

  46. SEM with Transect Results - Microalgae

  47. Conclusions Scrape & Transect Methods • Worked well on most substrates • Some problems on gravel with scrape method (Large amounts of sediment collected & high AFDM) • Both methods have issues if streams are not wadeable • Scrape and Transect methods positively correlated for general algal abundance

  48. Conclusions Scrape & Transect Methods • Algal abundance measures were more highly correlated to habitat than water quality parameters • SEM implied that substrate size and light were the most influential factors on periphyton growth

  49. Thank You Questions?

More Related