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capercaillie habitats

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Presentation on theme: "capercaillie habitats"— Presentation transcript:

1 capercaillie habitats
Assessing the spatio-temporal pattern of winter sports activities to minimize disturbance in capercaillie habitats Flyer Logger Fotofalle Laptop Festplatte und stick Visitenkärtli Pointer Keywords: GPS logging, backcountry skiing, snowshoeing, Tetrao urogallus, wildlife management, visitor management, recreation ecology, human wildlife conflict, Biosfera Val Müstair Move workshop, Martin Wyttenbach, master student, Zentr. Naturmanagement ZHAW

2 Disturbance of capercaillie habitats Bild tiere im winter
Info wildtiere Capercaillies loos energy when disturbed in their winterhabitats. -> lower reproduction rate -> death -Y devitalisation Bild: Roland Graf

3 Problems Assessing spatial disturbance effects of wintersport activities on capercaillies Identify and quantify the capercaillie habitats affected by backcountry skiers and snowshoers Find a measure to describe disturbance intensity -> suggest management actions

4 GPS-Logging Skitourenrouten Val Müstair
Skitouren val müstair fokus piz daint Start Touren 2009 Tschierv Start Touren 2010 Piz Dora Piz Turettas Karte: Swisstopo 1:200`000

5 Ascent Piz Dora Piz Dora Karte: Swisstopo 1:200`000

6 Spatial analysis data GPS tracks (ski-/snowboard- and snowshoetours) and official routes were used as vector line data All 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 analysis 1. 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 crossings Total numer of crossings per raster cell (n) n = (L1 + L2) D D L1: 170 m L2: 230 m D: 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.

10 Overall densities Karte: Swisstopo 1:200`000

11 Capercaillie core habitat
Wildhüter wilma (datenquelle Auerhuhngebiet)

12 Improvements Trips as vector point data (points per area as a measure for disturbance) Seperate class for brakes -> method to define brakes Differenciate ascent and descent Further methods to assess spatio-temporal use by recreationalists? Analysis of behavior refering to official routes and activitys?

13 Thank you for your attention!

14 Questions Further methods to assess spatio-temporal use by recreationalists? Precision of classification; expl: low 1 – 3 crossings including roaming patterns -> identification and classification of roaming patterns Analysis of behavior refering to official routes and activitys?

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