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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.
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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 Located 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)
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…)
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
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
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