Presentation on theme: "capercaillie habitats"— Presentation transcript:
1capercaillie habitats Assessing the spatio-temporal pattern of winter sports activities to minimize disturbance incapercaillie habitatsFlyerLoggerFotofalleLaptopFestplatte und stickVisitenkärtliPointerKeywords: GPS logging, backcountry skiing, snowshoeing, Tetrao urogallus, wildlife management,visitor management, recreation ecology, human wildlife conflict, Biosfera Val MüstairMove workshop,Martin Wyttenbach, master student, Zentr. Naturmanagement ZHAW
2Disturbance of capercaillie habitats Bild tiere im winter Info wildtiereCapercaillies loos energy when disturbed in their winterhabitats.-> lower reproduction rate-> death-Y devitalisationBild: Roland Graf
3ProblemsAssessing spatial disturbance effects of wintersport activities on capercailliesIdentify and quantify the capercaillie habitats affected by backcountry skiers and snowshoersFind a measure to describe disturbance intensity-> suggest management actions
4GPS-Logging Skitourenrouten Val Müstair Skitouren val müstair fokus piz daintStart Touren 2009TschiervStart Touren 2010Piz DoraPiz TurettasKarte: Swisstopo 1:200`000
6Spatial analysisdataGPS tracks (ski-/snowboard- and snowshoetours) and official routes were used as vector line dataAll other data were converted into raster (cell size 25 m)buffer of 100 m around GPS tracks (capercaillie flushing distance)
71. Line density (simple density) Spatial analysis1. Line density (simple density)Density of GPS tracks within a range of 100 m for each raster cell (km/km2).A straight crossing through the density extent of one raster cell is 200 m (equalling a density of 0.2 km / km2).Calculation of crossingsTotal numer of crossings per raster cell (n)n = (L1 + L2)DDL1: 170 mL2: 230 mD: 200m
8Spatial analysis 2. Counting Translation of relative densities into absolute numbers (combination of GPS tracking and data from camera traps)Camera traps: 69 recreationalists per week (average count)dataset: 70 GPS tracks passing through the camera trap location-> density from GPS track data used in the analysis represents an average number of crossings per week
9Spatial analysis 3. Classification 1) not affected = no crossings at all;2) low = 1 to 3 (includes single trips with roaming patterns);3) medium = 4 to 24(4) intense = 25 and more.
12ImprovementsTrips as vector point data (points per area as a measure for disturbance)Seperate class for brakes -> method to define brakesDifferenciate ascent and descentFurther methods to assess spatio-temporal use by recreationalists?Analysis of behavior refering to official routes and activitys?
14QuestionsFurther methods to assess spatio-temporal use by recreationalists?Precision of classification; expl: low 1 – 3 crossings including roaming patterns -> identification and classification of roaming patternsAnalysis of behavior refering to official routes and activitys?