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Participatory GIS in the Upper Sangamon Watershed: Geovisualization, Collective Decision-Making, and Environmental Governance. Miriam A. Cope Sara McLafferty Bruce M. Rhoads Department of Geography, UIUC Wednesday, April 29, 2009. Abstract.
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Participatory GIS in the Upper Sangamon Watershed: Geovisualization, Collective Decision-Making, and Environmental Governance Miriam A. Cope Sara McLafferty Bruce M. Rhoads Department of Geography, UIUC Wednesday, April 29, 2009
Abstract • This research examines the impact of participatory GIS on collective decision-making for agricultural and environmental management at the watershed scale. In partnership with the Agricultural Watershed Institute (AWI) and Macon County Soil and Water Conservation District in Decatur, IL, we tested participatory GIS methods in two groups of stakeholders, farmers and professionals, to determine optimal locations for growing biofuels in Central Illinois.
Objectives • Test influence of geovisualization on attitudes towards developing a perennial energy grass market • Compare attitudes between farmers and conservationists
GOALS • Ascertain how local knowledge can inform GIS development for planting perennial energy grasses • Understand how prior knowledge of technology influences PGIS discussions • Build upon existing university-community partnerships
Presentation Overview • Participatory GIS • Research Methods • GIS Layers • Results • Survey • Maps • Conclusion Miscanthus (from:magnoliagardensnursery.com)
Participatory/Public Participation GIS (Geographic Information Systems) • A GIS that incorporates knowledge and perspectives from community participants • Recognizes need to include socially marginalized individuals and groups • Recognizes and values importance of place and context in decision making • Urban/rural, grassroots/ngo/local government • Recognizes and integrates qualitative research tools • Aberly and Sieber, 2002
Development of Participatory GIS • Instrumentalist applications of GIS excluded local knowledge • Constructions of place dependent on experts or most powerful voices • Resource poor organizations or voices excluded from decision making process • Elwood, 2006
Community Partnership • Conducted case study of AWI in 2007 • Agricultural Watershed Institute • AWI convened a “Landscape Learning Group” for biofuel market assessment • Mutually beneficial relationship recognized
Energy Grasses Switchgrass Miscanthus (from:magnoliagardensnursery.com) Picture from: mongabay.com
Methods • Build GIS of Upper Sangamon Watershed • Two interest groups • Experts/conservationists in Landscape Learning Group • Farmers in Macon county • Design pre and post GIS surveys • Convene PGIS Groups: AWI, Farmers
Crop Cover, Sangamon Watershed (2005) 30M Resolution
Sangamon Watershed Slope Streets and Stream Features
Macon County Layers
Develop Pre and Post GIS Survey • Pre-PGIS Survey • Collect Participant’s Demographic Information • Collect Participant Knowledge of Computer and Mapping Technology • Collect Attitudes towards Perennial Energy Grasses • Post-PGIS Survey • Attitudes towards energy grasses • Attitudes towards GIS/Geovisualization
Participatory GIS Sessions • Learning Group/Expert PGIS Session • 13 Participants • Farmer Survey • Received 55 Surveys out of 400 Mailed (>10%) • 16 Farmers interested in PGIS • Farmer PGIS Session • 5 Attended PGIS Session (~ 33%)
Results • Both Groups generally agreed that: • Grasses could be grown in Illinois • Important for reducing dependence on foreign oil • Beneficial for wildlife and water quality
ResultsPerennial energy grasses should only be grown on marginal Land
Analysis: Expert PGIS Session • Raised competing environmental issues • Slope: better for water quality, worse for wildlife • Emphasized Energy Grass selection • Miscanthus, switchgrass, native polycultures • Dependent on previous crop • Discussed spatial concerns: proximity to streams, slope, corridors, and processing facility
Learning Group Map Query: Grassland in 100 Meters of Streams
Analysis: Farmer GIS Session • Greater interaction with maps • Brought in personal experience • Time, equipment issues, rotation of crops • “Marginal land” depends on farm scale issues: accessibility, tree lines, biophysical properties and productivity • Economic Criteria
Farmer preferences for optimal locations Based on slope Slope > 2 degrees Slope > 1 degree
Conclusions • Geovisualization • Helped facilitate conversations about where to plant energy grasses • Interplay between participants’ local knowledge & experiences and geovisualization • suitability maps reveal local knowledge and experiences • Next Step • PGIS involving both farmers and experts in same conversations • “Who, What and Where” of biofuels are interconnected, complex
Acknowledgements • Community Informatics Initiative Grant • Agricultural Watershed Institute • Macon County Soil and Water Conservation District • Prof. Sara McLafferty, PI, Advisor • Prof. Bruce Rhoads, PI, Advisor