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PROGRESS the modelling. Rene Jochem. Modeling: my story line. Recreation (density flow modeling). Ecology (habitat modeling). Effects (scenario modeling). Objective of this presentation. Focus on the methodology Illustrated by an example of a possible pilot action.
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PROGRESS the modelling Rene Jochem
Modeling: my story line Recreation (density flow modeling) Ecology (habitat modeling) Effects (scenario modeling)
Objective of this presentation • Focus on the methodology • Illustrated by an example of a possible pilot action
Modeling: my story line Recreation (density flow modeling) Ecology (habitat modeling) Effects (scenario modeling)
Ecology : Habitat modeling • Process • Who was involved • What kind of data is available • Selecting species • Combining species and data • Example
Ecology : Process • Preparing habitat maps • Based on modeling expert knowledge • 1st meeting: what do we have, how can we use it. • GIS maps • Distribution data • Field trip • Modeling • New habitat maps incorporating knowledge from experts & data • Analysis on distribution data • 2nd & 3th meeting : • habitat maps: proofing & fine tuning
Ecology : Involvement • Species Data • BTO • RSPB • English Nature • Expert input in meeting's, ornithologist from: • Forestry Commission • RSPB • English Nature • Sovon (Dutch NGO, like BTO) • Alterra
Ecology : Available GIS Data • Basic Data • Vegetation • Tree species • Felling data • Streams • Maintenance • Elevation • Tracks • Open landscape (distance to woodland) • Slope
Ecology : Species Selection • Criteria: • Present species • Critical species • Affected by recreation • Level of protection • Data availability • Bird data • Presence/absence data • Environmental GIS Data
Ecology : GIS Data => Habitat • Factors: • Vegetation type as mapped in 2003 • Forest coniferous or broadleaved • Gorse & Bracken • Distance to Woodland (Open areas 50, 150, 300 m) • Topography
Modeling: my story line Recreation (density flow modeling) Ecology (habitat modeling) Effects (scenario modeling)
Recreation: GPS Statistical analysis Recreation: GPS Analysis
Modeling: my story line Recreation (density flow modeling) Ecology (habitat modeling) Effects (scenario modeling)
Modeling Effects • MASOOR => detailed recreation modeling • Input • User profiles • GPS data • Counting data • Path network & car parks • Result • Density flow on the path network • Translates into • Zones of lower reproduction
Recreation: Pressure SCAN Shatterford Wilverly
Population Dynamics: Conservation • Selecting the manageable factors within the population dynamics processes • Improving habitat • Managing recreational pressures • …..
Recreation & Bird behavior alarming increased fouraging fleeing decrease reproduction disturbance abandoning nest lower densities decrease nesting fouraging neighbour patch fouraging neighbour patch increase mortality neighbour patches nesting in neighbour patch abandoning nest decrease # in surrounding patches decrease exchange decrease reproduction extinction metapopulation – decrease viability increase extinction decrease # in patch lower densities
MASOOR => density flow => disturbance zones • Path network (including path type) • GPS & Questionnaire data • User profiles • User data • Pattern validation