Ongoing work of
the Reservoir
Fisheries Habitat
Partnership
Presented by
Rebecca M. Krogman
Lake Red Rock, Iowa
Acknowledgments
L. E. (Steve) Miranda
Mississippi Cooperative Fish
and Wildlife Research Unit
W. Reed Green
USGS Arkansas Water
Science Center
Kirk Rodgers
Ph.D. Student, University of
Arkansas
–
Pine Bluff
Funding provided by
U.S. Fish and Wildlife
Service
Jeff Boxrucker
RFHP Science & Data
Committee Chair, Oklahoma
Department of Wildlife
Conservation
Mike Armstrong
RFHP Executive Committee
Cecilia Lewis
RFHP Coordinator
John Taylor
Karl Hess
Gary Whelan
Many, many others
Goals of RFHP
•
Fish habitat
•
Develop
partnerships
•
Education and
outreach
Top Priority of
RFHP
Establish baseline
data for reservoirs
nationwide
Study Objective
To classify
reservoirs based
on impairment
within a geospatial
framework
Reservoirs are…
Artificial
Nationwide
Highly useful and
widely utilized
Folsom Dam, California
Impaired!
Lack of
macrophytes
Eutrophication
Water
fluctuation
Non
-
native
species
Sedimentation
Physiography
Urbanization
Riparian inputs
Effluents
Contaminants
Goals of RFHP
•
Fish habitat
•
Develop
partnerships
•
Education and
outreach
Top Priority of
RFHP
Establish baseline
data for reservoirs
nationwide
Study Objective
To classify
reservoirs based
on impairment
within a geospatial
framework
Approach
1.
Impairment metrics
2.
Environmental descriptors
Impairment Metrics
L. E. (Steve) Miranda
Rebecca M.
Krogman
Hydrilla
in Lake Conroe, TX
Background
Fish Habitat Degradation in U.S. Reservoirs, Fisheries
(Miranda et al. 2010)
An index of reservoir habitat impairment, Environmental
Monitoring & Assessment (Miranda and Hunt)
Siltation
Structural
habitat
Eutrophication
Water regime
Aquatic plants
Impairment Metrics
Miranda and Krogman
Survey Methods: Design
Siltation
Structural
habitat
Eutrophication
Water
regime
Aquatic
plants
Fish
Community
Fishery
Tailwater
Survey Methods: Design
~100 variables
Scope
◦
Reservoirs >250 acres
◦
Conterminous U.S.
Potentially 4,331 data
points
Sent to reservoir
fishery scientists
Impairment Metrics
Miranda and Krogman
Survey Methods: Distribution
Impairment Metrics
Miranda and Krogman
Survey Methods: Design
Section
# of
Question
s
Scale
Other
Question
Types
Habitat availability
20
6
-
pt
Likert
-
Water quality
16
-
Water
regime
9
-
Processes
7
Open
-
ended
Fish community
11
5
-
pt Likert
-
Fishery
14
6
Tailwater
16
6
-
pt Likert
1
Tailwater
fishery
-
-
3
Scale
0
1
2
3
4
5
5
-
point
-
Low
Below Average
Average
Above Average
High
6
-
point
None
Low
Low
to Moderate
Moderate
Moderate to High
High
Impairment Metrics
Miranda and Krogman
Survey Methods: Design
Qualified scientists
with direct
experience
Exclusion of
unfamiliar reservoirs
Analysis of responses
by experience
Definitions
Other examples
Impairment Metrics
Miranda and Krogman
Iowa DNR hard at work on Pool 13,
Mississippi River
Pilot Survey: Oklahoma
Oklahoma
Department of Wildlife
Conservation
96 reservoirs
ReservoirResearch.org
Impairment Metrics
Miranda and Krogman
Environmental Descriptors
Dr. W. Reed Green
Kirk Rodgers
Major land
use patterns
Data Availability
Eight
-
state Classification/Metrics
◦
Arkansas, California, Iowa, Kansas, Kentucky,
North Carolina, Oklahoma, Texas
Initial investigation of the appropriate
environmental metrics to gather
◦
Impoundment date
◦
Watershed characteristics
◦
Reservoir dimensions
◦
Water quality measurements
Environmental Descriptors
Green and Rodgers
Datasets
Spatially Referenced
Regression on
Watershed
Attributes
(
SPARROW
)
National Inventory of
Dams (
NID
)
National
Hydrography Dataset
(
NHD+
)
Geographic Names
Information System
Reservoir
Sedimentation
Survey Information
System (
RESIS
)
Environmental Descriptors
Green and Rodgers
Database Fields
State
Dam Name
State Id
NIDID
Longitude
Latitude
Section
Count
River
City
Distance to Nearest City
Owner Name
Owner Type
Dam Design
Private or Public
Core
Foundation
Purpose
Year completed
Year modified
Dam length
Dam height
Structural height
Elevation
Hydraulic head/Maximum
depth
NID Height
Environmental Descriptors
Green and Rodgers
Not all fields will be used in metric analysis
Database Fields (cont.)
Other Structure ID
Condition Assessment Detail
State Regulatory Agency
Federal Agency Involvement
in Funding
Federal Agency Involvement
in Design
Federal Agency Involvement
in Construction
Federal Agency Involvement
in Regulatory
Federal Agency Involvement
in Inspection
Federal Agency Involvement
in Operation
Federal Agency Owner
Federal Agency Involvement
-
Other
Source Agency
Date Submitted
Congressperson Name
Party
Congressional District
Reachcode
Measure
Source Origin
Source Data
GNIS ID
Shoreline Development
Sedimentation (% of original
volume) if available
Environmental Descriptors
Green and Rodgers
Not all fields will be used in metric analysis
Database Fields (cont.)
Normal Discharge
Maximum Discharge
Normal Storage/Volume
NID Storage/Volume
Surface Area
Drainage Area
Relative Depth
Mean Depth
Development of Volume
Index of Basin Permanence
Maximum Length/Fetch
Mean Width
Maximum Width
Residency Time/Flushing Rate
Downstream Hazard
Potential
Emergency Action Plan
Inspection Date
Inspection Frequency
State Regulated Dam
State Regulatory Agency
Spillway Type
Spillway Width
Outlet Gates
Volume of Dam (Cubic Yards)
Number of Locks
Length of Locks (Feet)
Lock width
Environmental Descriptors
Green and Rodgers
Not all fields will be used in metric analysis
New Database for the Southeast
Once satisfied with results, expand to the
entire lower 48 states.
Environmental
Descriptors
Data Analysis
Integration of Green
and Rodgers’ work,
and Miranda and
Krogman’s
work
Techniques
◦
Cluster analysis
◦
Geospatial analysis
◦
Discriminant
analysis
◦
Canonical correlation
analysis
Classification
Assessment of
impairment
Environmental
descriptors
Geospatial
context
Potential Applications
Make quantitative
comparisons among
reservoirs
Understand geospatial
relationships
Guide the decision
-
making process
Fishing below J.T. Meyers Dam
Questions
or
comments?
Hoover Dam
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