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Establishing GIS for Management in the Sauvie Island Wildlife Management Area, Oregon. Jeremy Hruska Masters Degree in GIS Candidate Penn State University. Project Outline. Introduction / Background Objectives Methods Anticipated Outcomes Potential Challenges Timeline. Sauvie Island. - PowerPoint PPT Presentation
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Establishing GIS for Management in the
Sauvie Island Wildlife Management Area, Oregon
Jeremy HruskaMasters Degree in GIS
Candidate
Penn State University
Project Outline
• Introduction / Background
• Objectives
• Methods
• Anticipated Outcomes
• Potential Challenges
• Timeline
Sauvie IslandLocated 15 miles Northwest of downtown Portland, OR
Aerial Image of Sauvie Island
•12,000 Acres (State-owned land) - Wetlands, Lakes, Fields•Wildlife Preserve (Sturgeon Lake)•Managed For:
•Recreation•Bird Watching•Hunting
Sauvie Island Management Area
•Stop-over for 150,000 migratory birds annually•Within 15 miles of Portland metro area (Population: 1 million)•Recreation uses include:
•Kayaking, Fishing, Hiking, Swimming, Boating, Biking, Hunting (8,000+ hunters annually)
Pictures
History of GIS at Sauvie Island
• Limited amount of current geospatial data
• Survey data is available (paper)
• Harvest data is available (Excel spreadsheet)
• No base data other than major features (Roads, ownership, some buildings, etc…)
Existing Maps
Project Objectives
• Develop an overall GIS application plan for the unit
• Adapt an existing standard to create a spatial-temporal database
• Collect and integrate relevant data resources
• Create a geospatially-integrated time series to facilitate analysis
GIS Application Plan
• Met with local managers to determine needs– Interview – Needs Assessment– GIS goals
• Met with State GIS Analyst to determine workflow
Spatial-Temporal Database Design
• Adapt a standard model for local use– Use only feature classes that would be
necessary– Design database to make future data
collection easier– Populate database
• National Wildlife Refuge Data Model
• 3 Personal Geodatabases•75 feature classes
• Still being developed
• Multiple feature classes to be used on National Level
• Identify feature classes that are relative to state management
National Wildlife Refuge Data Model
Data Collection/Integration
• Aerial survey data
• Harvest reports
• GPS / Digitize– Aerial survey polygons– Hunt unit polygons– Vector features (Water control structures,
blinds, gates, trails, roads, etc…)
Spatial-Temporal Analysis
• Compare data (old vs. new)– 15 years of survey data
• Observe changes in bird usage– Population increase or decrease in specific areas
– Harvest numbers increasing or decreasing
• Compare observations to previous management plans– 10 year plans
– Do changes in management change usage?
Methods
• System Design
• Field Data Collection
• Spatial Temporal Analysis of Historic Data
System Design
• Aerial survey data stored in tables– Species counts and locations by date– 1993 – 2007* multiple times per year– Migrate to polygon feature class– Symbolize data based on survey numbers
• Harvest Data– Number and species of birds harvested per hunter and blind– 1964 - 2006– Migrate to polygon featureclass– Symbolize based on harvest information
Field Data Collection
• Capture using GPS– Bird Viewing Structures– Bridges– Water Control– Managed Wetlands– Trails
• QC and migrate to Database– Postprocessing– Enter into specific feature classes
Spatial-Temporal Analysis
• Create a series of maps that show change in:– Bird usage over time (based on aerial and harvest surveys)– Management changes to the landscape (increase and decrease
of managed area)– Harvest increase and decrease
• Summarize analysis for management applications– Describe summary data to managers– Change Detection Map– Final report detailing how to understand the data
Anticipated Outcomes
• Use GIS data as part of management decisions– Use Initial GIS database as a tool
• Provide a database for future data storage– Guidelines for using GIS plan
• Management used to improve habitat– Improved management using GIS leads to
better:• Habitat, recreation, harvest, species diversity
Potential Challenges
• Seasonal closures could limit data collection efforts (Initially slowing project)
• Implementation in General– Software, Hardware, training, implementing usage
• Continuous update needed to keep data current• External factors effecting long term strategy
– Natural changes in migration• GIS efforts may need to refocus on specific species
– Changes outside of management area• Increase or decrease in bird usage
– Changes in seasons or limits• Could change amount of harvest data that is collected
Timeline Spring 2007 – Meet with ODFW to discuss plan for GIS
implementation Spring 2007 – Site visit to Sauvie Island to talk with managers Spring 2007 – Create base map of vegetation • Summer 2007 – Analyze NWR Data model for applicable use• Summer 2007 – Collect GPS data• Summer 2007 – Migrate GPS data into database• Summer 2007 – Migrate tabular data into GIS format• Fall 2007 – Analyze data• Winter 2007 – Compare Analysis results• Winter 2007 – Meet with ODFW managers to discuss results• Winter 2007 – Map results• Winter 2007 – Update public use map
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