Ongoing work of

heehawultraMécanique

22 févr. 2014 (il y a 3 années et 1 mois)

50 vue(s)

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