Transcript Why focus on Lake Superior Streams?

Collaborative Research and Data Delivery
at the NRRI GIS Laboratory
GEORGE HOST
CENTER FOR WATER AND THE ENVIRONMENT
NATURAL RESOURCES RESEARCH INSTITUTE
MAY 20, 2009
Outline
 Recent and ongoing collaborative research
 Lake Superior Streams
 Amphibian/Atrazine relationships
 Breeding Bird monitoring
 Horticultural peat mining
 Data delivery and analysis tools
 Lake Trends: Google Map Visualization of Historic Lake Data
 Great Lakes Environmental Indicators– Great Lakes Basin
 Lake Superior Decision Support – Lake Superior Basin
 CoastalGIS – LS North Shore
 LCCMR Data Portal – Minnesota – statewide aquatic and terrestrial
 North Shore Data Consortium
LakeSuperiorStreams.org and the
Regional Stormwater Protection Team
Western Lake Superior
Sanitary District
Why focus on Lake Superior Streams?
• Hundreds of vulnerable trout
streams on North and South
Shores –some Impaired
• Sensitive to temp, flow, O2,
sediment, turbidity, nutrients
• Lake Superior is the ultimate
receiving body of water
• Many smaller communities
(MS4s) now need stormwater
plans and permits
Western Lake Superior
Regional Stormwater Protection Team
(co-evolved with LSS.org ; now >26 organizations)
 “..protect and enhance the region's shared water
resources through stormwater pollution prevention by
providing coordinated educational programs and
technical assistance”
 Initiate watershed and stormwater projects
 Share information, ideas, resources, grant writing,
technical expertise and more.
Lester-Amity
Watershed
Stressors
Stream Scale
Study
Potential stress
levels summed
by subwatershed
Upstream
stressors
accumulate
downstream
Effects of Hydrology and Land Use on Amphibians
in the Prairie Pothole Region
LUCINDA B. JOHNSON, PATRICK K. SCHOFF,
JENNIFER H. OLKER, TOM HOLLENHORST,
ANGELA K. ROHWEDER
Glenn R. Guntenspergen
W. Carter Johnson
RD-83087901-0
PPR Atrazine
Intensive
2004
2005
Scale: 0.01 – 0.62 μg/L
Survey 2: mid-May – mid-June
Distance (m) to
wetlands within 2 km
Wetland density (seasonal and semi-permanent) across with Prairie Pothole Region with examples of
density and distance to all wetlands within 2 km of study sites.
Landscape connectivity when seasonal wetlands are lost (500 m buffers)
all SP, 0% S, 0% T
all SP, 40% S, 0% T
all SP, all S, 0% T
Algona
Brookings
Minot
Poplar
Songbird monitoring plots
Sample NW ¼ of every township over 3 years – 540 maps/yr
Horticultural
Peat Mining
Map serves to delineate areas
for
• Guide to reclamation
•Leasing land to another
operation
•Release from permit
(reclamation completed)
•Collaborators:
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MN DNR
Army Corps of Engineers
Michigan Peat Co.
Peat Inc.
•Allow accurate assessment of
site for reclamation, permitting,
and continued mining
Data delivery and analysis tools
 Lake Trend Visualization Tool - Minnesota
 Great Lakes Environmental Indicators– Great Lakes Basin
 Lake Superior Decision Support – Lake Superior Basin
 CoastalGIS – Lake Superior North Shore
 LCCMR Data Portal – Minnesota – statewide
 North Shore Data Consortium
LakeTrends – Google map-based search
for historic lake water quality data
Near surface temperature
Secchi depth
Great Lakes Environmental Indicators
2002-2006
27 investigators across
10 collaborating
institutions
GIS analysis of
‘segmentsheds’ and
stressors provided a
means to direct field
crews to sample sites
GIS matched with webbased data entry and
retrieval system
Lake Superior Decision Support Systems
EPA GLNPO, Lake Superior Lakewide Mgt Plan (LaMP), state agencies
Watershed Stressors for the Lake Superior Basin
Watershed Stressors for the Lake Superior Basin
Integrated stessors
(road density, NPDES
permit density, %
agriculture, % urban)
Summarized by high
rest watershed
Watershed health visualization tool
Extent: variable – Coastal Program Boundary, watersheds, counties
www.nrri.umn.edu/coastalgis/
Statewide Conservation Plan Data Portal
 Democratizing access to Minnesota’s data assets: a user
friendly data integration and visualization tool
 Online resource to access data from contemporary
diverse sources
 Emphasis on data integration - allow web based
analysis, rather than just visualization, of GIS data sets.
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How many townships in the Arrowhead?
Trout streams in Hennepin County?
Private / Public land by zipcode in St. Louis Co.?
http://gisdata.nrri.umn.edu/MNConserve
Upcoming: North Shore Data Consortium
 Motivation: strong interest in
high res spatial data for land
use planning and
environmental assessment,
LiDAR in particular
 Issue: Interagency strategies
for data prioritization and
funding are needed
Upcoming: North Shore Data Consortium
 Coastal Program Proposal:
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Create the North Shore Data
Consortium as a vehicle for bringing
interested parties together
Acquire LiDAR for a segment of
Lake Superior’s North Shore to
demonstrate capabilities of data
 Potential collaborators: Agency,
academic, tribal, NGO, and
industrial partners
 Status: recommended to NOAA for
funding by Gov. Council on MN
Coastal Program
Take-home points
 All natural resources have some sort of spatial context
 GIS can play a role through the full analytic process
 Forming the question
 How and where to sample
 A factor level in data analysis
 Delivering results
Take-home points
 Interagency collaborations
 This land is your land
 This land is my land
 How about OUR land?
 Democratizing data is a key to successful
planning and management!
NRRI GIS web sites
 Great Lakes Environmental Indicators
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http://glei.nrri.umn.edu
 Lake Superior Streams
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www.LakeSuperiorStreams.org
 Lake Superior Decision Support Systems
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www.nrri.umn.edu/lsgis2
 Statewide Plan – interactive collaboration site
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http://Gisdata.nrri.umn.edu/MNConserve