EXPECTED CONDITION Introduction to Some Basic Concepts for the Development of Colorado’s Conceptual Model.

Slides:



Advertisements
Similar presentations
Information Needs for the Integrated F&W Program (ESA and Power Act) Jim Geiselman - BPA.
Advertisements

Step 1: Valley Segment Classification Our first step will be to assign environmental parameters to stream valley segments using a series of GIS tools developed.
Utilization of Remotely Sensed Data for Targeting and Evaluating Implementation of Best Management Practices within the Wister Lake Watershed, Oklahoma.
Clearwater River Habitat/Bioassessment
Bill Orme, Senior Environmental Scientist, State Water Board Liz Haven, Asst. Deputy Director, Surface Water Regulatory Branch, State Water Board Dyan.
Lake Status Indicator Selection and Use in SLICE David F. Staples.
Lec 12: Rapid Bioassessment Protocols (RBP’s)
Lake Status Indicator Selection David F. Staples Ray Valley.
Bioassessment and biomonitoring: some general principles.
0 The National Hydrography Dataset Plus a tool for SPARROW Watershed Modeling Richard Moore (presented by Alan Rea)
Getting the Big Picture How to Look at Your Watershed Indiana Watershed Planning Guide,
Common Monitoring Parameters. Step 1 Consider purpose/objectives of monitoring Assess use attainment Characterize watershed Identify pollutants and sources.
ENSC 202 – 2004 Phase 1 Steps 2-5 Watershed Assessment (ENSC 202) Phase 1 – Steps 2-5 Extracted from Vermont ANR Stream Geomorphic Assessment Protocols.
Regional River Management: Recent developments in the Great Lakes Basin M. J. Wiley & M. Omair School of Natural Resources and Environment University of.
Analyzing Stream Condition Using EMAP Algae Data By Nick Paretti ARIZONA PHYCOLOGY ECOL 475.
Lecture ERS 482/682 (Fall 2002) TMDL Assessment ERS 482/682 Small Watershed Hydrology.
Urban Planning Applications of GIS GIS can be applied to many types of problem. Among these are representatives of both raster and vector data base structures,
Landscape and Urban Planning Volume 79, Issue 1Landscape and Urban Planning Volume 79, Issue 1, 15 January 2007, Pages Biological integrity in.
“Habitat Assessment Using the QHEI “ Edward T. Rankin June 6 City of Columbus, Level 3 Training Course Columbus, Ohio Senior ResearchScientist
US EPA Region IV Surface Coal Mining Field Activities Adventures in Mountain Top Mining / Valley Fill Chris Decker.
ORD’s Environmental Monitoring and Assessment Program (EMAP) Sound Science for Measuring Ecological Condition
Ecology and environment, inc. International Specialists in the Environment The McKinstry Creek & Riparian Area NYSDOT Rt. 219 Mitigation Project Analysis.
Department of the Environment Overview of Water Quality Data Used by MDE and Water Quality Parameters Timothy Fox MDE, Science Service Administration Wednesday.
Lake Erie HABs Workshop Bill Fischbein Supervising Attorney Water Programs March 16, 2012 – Toledo March 30, Columbus.
Water Quality Associated with Urban Runoff: Sources, Emerging Issues and Management Approaches Martha Sutula and Eric Stein Biogeochemistry and Biology.
California Rapid Assessment Method for Wetlands Interpreting CRAM Scores.
Georgia Adopt-A-Stream Introduction Georgia Adopt-A-Stream 2 Martin Luther King Jr. Dr. SW Suite 1462 East Atlanta, Georgia
Standards for Ecologically Successful River Restoration Palmer et al., 2005, Standards for Ecologically Successful River Restoration Palmer et al., 2005,
Watershed Assessment and Planning. Review Watershed Hydrology Watershed Hydrology Watershed Characteristics and Processes Watershed Characteristics and.
CRITICAL TECHNICAL ELEMENTS FOR A BIOASSESSMENT PROGRAM Michael T. Barbour, Tetra Tech Chris O. Yoder, MBI.
CALIFORNIA’S BIOLOGICAL ASSESSMENT PROGRAM April 5, 2005 Jim Harrington WPCL Bioassessment Laboratory.
STRATIFICATION PLOT PLACEMENT CONTROLS Strategy for Monitoring Post-fire Rehabilitation Treatments Troy Wirth and David Pyke USGS – Biological Resources.
The Urban Watershed Unit 1, Topic 1. 1 Urban vs. Suburban vs. Rural.
1 Survey of the Nation’s Lakes Presentation at NALMS’ 25 th Annual International Symposium Nov. 10, 2005.
NWQMC May 8, 2006 KEY ISSUES AND UNDERLYING CONCEPTS IN USE ATTAINABILITY ANALYSES FOR AQUATIC LIFE DESIGNATED USES Chris O. Yoder Center for Applied.
PNAMP Habitat Status and Trends Monitoring Management Question: Are the Primary Habitat Factors Limiting the Status of the Salmon and Steelhead Populations.
Colorado EDAS Enhancement and Index Development 2004 Tetra Tech, Inc. and Utah State University.
Benthic Community Assessment Tool Development Ananda Ranasinghe (Ana) Southern California Coastal Water Research Project (SCCWRP) Sediment.
Goals of CRAM program –Roles of Teams –Need and Intended Uses Summary of Science of Rapid Assessment Conceptual Model Development Process and Schedule.
Source Identification Stormwater Work Group March 24, 2010.
National Aquatic Resource Surveys Wadeable Streams Assessment Overview November, 2007.
Fish Assemblages of the Wabash River Mark Pyron. Wabash River Fishes 1.Large river 2.High diversity 3.History of human impact 4.Fish assemblages respond.
Landscape Ecology: Conclusions and Future Directions.
STORET 1001 and the State of Utah Monitoring Strategy Today you will see: –What kind of attributes are available in STORET –How results, stations, and.
Rapid Bioassessment Protocols for low gradient streams) for species richness, composition and pollution tolerance, as well as a composite benthic macroinvertebrate.
Identifying Changes to Stream Condition caused by Urbanization How understanding the responses can improve ecological risk characterization
Lesson 1.5 Pg
Starter: Look at the photograph. This is the site for a proposed coal mine, providing essential fuel for the community. In pairs: Discuss whether you think.
1 Defining Least-Impacted Reference Condition for the National Wadeable Streams Assessment Alan Alan Herlihy (Oregon State University), John Stoddard (U.S.
National Monitoring Conference May 7-11, 2006
Habitat Mapping of High Level Indicators at Multiple Scales for Fish and Wildlife.
1.Define a landscape. What is the focus of Landscape Ecology. Notes 2. Discuss the role of spatial and temporal scale in affecting landscape composition,
EPA HWI Comments on CA Assessment June 26, 2013 HSP Call 2 major categories of comments: – Report writing (we will work on this) – Content/Analysis/Discussion.
Recommendations for Applying the Critical Elements Methodology.
Detecting Ecological Effects of Development in the Wappingers and Fishkill Watersheds Karin Limburg, Karen Stainbrook, Bongghi Hong SUNY College of Environmental.
Case Study Development of an Index of Biotic Integrity for the Mid-Atlantic Highland Region McCormick et al
STREAM MONITORING CASE STUDY. Agenda  Monitoring Requirements  TMDL Requirements  OCEA Initial Monitoring Program  Selection of Parameters  Data.
Iowa Rivers Information System Inventory, Modeling, and Evaluation of Basin, In-Stream Habitat, and Fishery Resource Relationships Kevin Kane, Iowa State.
Development of Nutrient Water Quality Standards for Rivers and Streams in Ohio Ohio EPA ORSANCO, October 20, 2009 George Elmaraghy, P.E., Chief.
1 Collaboration on EMAP Stream Condition Assessments in EPA Region 8 Thomas R. Johnson and Karl A. Hermann EPA Region 8.
What is Stormwater? Direct result of rainfall Recharges groundwater by infiltration Produces “runoff” (excess rainfall after infiltration) May be concentrated.
EVALUATING STREAM COMPENSATION PERFORMANCE: Overcoming the Data Deficit Through Standardized Study Design Kenton L. Sena (EPA VSFS Intern), Joe Morgan,
PNAMP Monitoring Terminology Data Dictionary The meta data file provides a better explanation of the project’s intent. The estuary work group is still.
Tools for Tracking Healthy Watersheds
Watershed Health Indicators
GREAT BAY and NEW HAMPSHIRE WATER QUALITY STANDARDS
Tiered Aquatic Life Use Model
Lake Erie HABs Workshop
IBI’s: An Introduction
Defining Reference Conditions Setting Class Boundaries
Presentation transcript:

EXPECTED CONDITION Introduction to Some Basic Concepts for the Development of Colorado’s Conceptual Model

PROJECT OBJECTIVES  Develop a ‘top down’ reference stream/reach screening approach  Develop a process to identify ‘least disturbed’ reference sites in any bio-physical stratum  Key: practical, based on readily available data, reproducible, regionally flexible  Develop a Protocol or Guidance document that will reflect Colorado’s approach to Biological Assessments

“The true health of our aquatic environments is reflected by the biological communities that reside within them” Prof. J. Karr University of Washington

WHAT ARE REFERENCE CONDITIONS? (from EPA) Reference conditions represent the best biological conditions that can be found in a body of water that has not been impacted by humans.

REFERENCE CONDITION CAN BE: Minimally Disturbed Condition Least Disturbed Condition Best Attainable Condition

MINIMALLY DISTURBED CONDITION Condition in the absence of significant, or minimal human disturbance (e.g., “natural”, “pristine”, or “undisturbed”) An absolute. Some regions might have no sites that meet minimal disturbance criteria. MDC changes little over time, due to natural processes Stable benchmark Derived from minimally disturbed reference sites

LEAST DISTURBED CONDITION Best available given today’s state of the landscape Found in conjunction with the best available physical, chemical, and biological habitat given today’s state of the landscape Relative. No matter how disturbed the region, some sites are likely less disturbed than others. Can change over time as land use and management practices change Derived by characterizing least disturbed reference sites

BEST ATTAINABLE CONDITION Best Attainable Condition - this condition is equivalent to the ecological condition of (hypothetical) least disturbed sites where the best possible management practices are in use

COLORADO’S PROPOSED DEFINITION  Expected Condition – the physical, chemical and biological conditions found at reference sites should represent the best attainable conditions that can be achieved by similar streams within a particular geographic region, given today’s state of the landscape

THERE ARE TWO APPROACHES TO ESTIMATE THE REFERENCE (EXPECTED) CONDITION: – Classification predicts the expected biotic condition of a waterbody from previously observed associations between biotic attributes and categorical descriptors of a waterbody’s environmental setting. – Modeling predicts the expected biotic condition by mathematically describing how biota vary along environmental gradients.

IMPROPER CLASSIFICATION LEADS TO BAD DECISIONS: Scientist, Manager, or Regulator Stakeholder

THE EXPECTED CONDITION OF A SITE WILL ALWAYS BE SOMEWHAT “FUZZY” BECAUSE: o Un-impaired sites are not static - they are in dynamic equilibria. o There is measurement error associated with estimating the value of an indicator. o There is variance associated with the effects of un- measured, naturally occurring factors.

Reference Site Selection

THE WORLD IS NATURALLY HETEROGENEOUS AND “EXPECTED” MAY NOT BE OBVIOUS We need to establish the correct match between an assessed site and its expected condition, so we need …

GOOD REFERENCE SITES THAT Mimic natural gradients of the region of interest, and …. are representative of the stream and habitat of interest

REFERENCE SITE SELECTION IS: An iterative screening process for selecting sites That are minimally or least disturbed by human activities and resultant stressors That are representative of the aquatic resource in the region of interest

THE PROBLEM OF REPRESENTATIVENESS o This problem really boils down to whether the range of environmental and biological conditions in the population of reference sites is equivalent to the range that would occur in the population of all other sites of interest. o Reference site ‘quality’ will almost always vary across classes of sites, so we must be careful about what we mean by “reference”.

ACCOUNTING FOR NATURAL VARIABILITY – HOW MUCH IS ENOUGH? o How much we need to account for is a function of how small of a response we want/need to detect, which needs to be decided by stakeholders up front!!!

THE ROLE OF REFERENCE SITES IN CLASSIFICATION AND MODELING: o The use of reference sites is an empirical approach to estimating Reference Condition. o Accurate and precise predictions from reference site data depend on: – Agreed upon and acceptable criteria for defining reference site quality, – Acceptable means of extrapolating/interpolating.

A SIMPLE CONCEPTUAL MODEL: The key is to identify common patterns of biological responses to human disturbances Human Activities (Disturbance) Stressors (Habitat Responses) Biological Responses

Urbanization Channelization Levees Roads/Culverts Erosion MWTPs/CSOs Septic systems Imperviousness Fragmentation Ag/CAFO/ Silviculture Grazing Harvest Dams Channelization Diversions Levees Roads/Culverts Erosion Fertilizer Pesticides Compaction Fragmentation Mining/ Drilling Extraction Metals Liming Tailings Valley Fill Diversions Roads/Culverts Erosion Petroleum Pipelines Fragmentation Compaction Industry/ Power Gen. Dams Stacks Liming Wastewater WTP/CSOs Roads/Culverts Channelization Revetments Imperviousness Fragmentation Altered Biological Structure/Function Human Activity Stressors (Habitat change) Biological Responses (from Bryce et al J. Am. Wat. Resour. Assoc. 35:23-36) A more complex conceptual model Habitat Flow Sediment Nutrient Oxygen Temperature Toxics

EXTENSIVE DATA Identify sources of complete coverages –GIS resources? –Geo-Referenced databases? Sources of data –At the landscape screening level Land use/cover (TM imagery; other satellite imagery) Roads Population density/points sources Mines Feedlots …

OFFICE DATA Identify sources of candidate sites –Air photos, digital orthophoto quads, maps Sources of data –Terraserver –USGS topo maps/local maps –National High Altitude Photography (NHAP) –Satellite imagery

SITE RECONNAISSANCE By air By ground site visit ID disturbances missed by the coarser filters Local knowledge/local land managers Input from Best Professional Judgement

SITE MEASUREMENTS Apply routine field protocol –EMAP –USGS –STATE –RIVPACS To identify disturbances missed by coarser screens: –Riparian habitat –Physical habitat –Water quality –Biota

SOME EXAMPLES OF CRITERIA TO SELECT REFERENCE SITES

CRITERIA SET # 1 Drainage: entirely within subregion Land use: >80% forest; no ag/urban; no recent disturbance, e.g., construction; clearcutting Habitat: No cattle in w/s; no disturbances Channel: Characteristic of region Riparian veg: > 30m buffer for most of w/s Instream substrate: no significant siltation or embeddedness Water Quality: No point sources; no recent spills; pH>6.

“Filters”: exclude all sites with: sulfate over 400 ueq/L (mine drainage) acid neutralizing capacity less than 50 ueq/L (acid rain) average RBP habitat score less than 16 (habitat) total phosphorus over 100 ug/L (nutrient enrichment) total nitrogen over 750 ug/L (nutrient enrichment) chloride over 100 ueq/L (general watershed disturbance total benthic count less than 100 individuals (inadequate sample) CRITERIA SET # 2

 no channelization  no upstream impoundments  no known point source dischargers  dissolved oxygen greater or equal to 5 ppm  urban land use less than 15% in catchment  mining and/or logging affecting less than 15% in catchment  forest land use (or other natural wetland, grassland) greater than 70% in catchment  riparian buffer width greater or equal to 18 m Criteria for Alaska Reference Sites (Must meet all criteria)

EXAMPLE OF CRITERIA FROM MISSOURI Wastewater treatment plants and other point sources Confined animal feeding operations Instream habitat Riparian habitat Land use and land cover, broad scale Land use and land cover, site specific Physical and chemical water parameters Biological metrics Faunal assemblages Altered hydrologic regime Representativeness

Bioassessment and Biocriteria Program Development Timeline INITIAL ASSESSMENT PHASE 18 MO – 6 YEARS Start-Up Tasks: Logistics Acquire Staffing:  Professional biologists with expertise & training  Database manager  Interns/technicians (field work, lab tasks Acquire Facilities & Equipment:  Outfit laboratory and field facility  Office accommodations  Database support infrastructure Methods Development:  Review and select candidate methods and protocols  Consider MQO/DQO needs  Test methods for applicability  Analyze test results – select methods Start-Up Tasks: Implementation Initiate Field Sampling:  Review spatial designs  Develop QA/QC and QAPP  Develop sampling plans in accordance with monitoring strategy  Pilot assessments Classification Issues:  Consider spatial stratification issues  Develop and test reference condition approach  Select and sample reference sites  Develop index development and calibration strategy Program Implementation Biocriteria Development:  Select candidate metrics and/or assessment tools  Develop refined uses - narratives  Test metrics and develop calibrated indices  Evaluate via bioassessments Water quality Program Support:  Develop capacity to support WQ programs (WQS/UAAs, TMDLs, permits, planning)  Formalize water quality program support as capacity is developed Program Maintenance Biocriteria Development:  Refine metrics and develop calibrated indices  Develop reference benchmarks for calibrated indices according to classification scheme and by major aquatic ecotype Water quality Program Support:  Fully functioning bioassessment program supports WQS (UAAs, aquatic life use support) and basic program needs (305b/303d)  Program development should be fully initiated – e.g., integrated chemical, physical, and biological database supports criteria & policy development 5 – 10 YEARS FULL ASSESSMENT PHASE 0-18 MONTHS INITIAL DEVEOPMENT PHASE MONTHS INITIAL IMPLEMENTATION PHASE Quality Improvement Process Continuously evaluate program Evaluate effectiveness of initial decisions – make needed adjustments