Presentation on theme: "capercaillie habitats"— Presentation transcript:
1 capercaillie 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
2 Disturbance of capercaillie habitats Bild tiere im winter Info wildtiereCapercaillies loos energy when disturbed in their winterhabitats.-> lower reproduction rate-> death-Y devitalisationBild: Roland Graf
3 ProblemsAssessing 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
4 GPS-Logging Skitourenrouten Val Müstair Skitouren val müstair fokus piz daintStart Touren 2009TschiervStart Touren 2010Piz DoraPiz TurettasKarte: Swisstopo 1:200`000
6 Spatial 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)
7 1. 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
8 Spatial 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
9 Spatial 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.
12 ImprovementsTrips 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?
14 QuestionsFurther 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?