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Faculty of Biology, Chemistry and Earth Sciences

Graduate Program (M.Sc.) - Global Change Ecology

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International Science School

Animal Movement Analysis for Conservation

Max Planck Institute for Ornithology, Radolfzell - Germany


This Summer School provides you with profound knowledge of remote sensing and species distribution and movement within conservation.

It includes hand-on exercises ranging from land cover and species distribution analysis to modeling of animal movement. Talks by conservationists and field work (GPS tracking) will be part of the Summer School as well.

This applied Summer School focuses on addressing conservation issues using remote sensing and modelling. Only Open Source software will be used to allow participants to apply them after the Summer School as well. Programs learnt will be: R (raster, sp, dismo, rgdal etc.), GRASS (with add-ons like r.pi), QGIS.

The workshops dealt with:

  • Tracking animals and doing field work in the surrounding of the venue
  • Practicing remote sensing field measurement methods
  • Learning basic and advanced methods in R and GRASS
  • Learning statistical spatial analysis and modelling, including SDMs and species movement analysis
  • Deriving relevant environmental parameters for animal movement using remote sensing time-series data
  • Analysing the relationship between animal movement and environmental factors

Evening keynote talks will provide knowledge about:

  • Real-world application of animal movement within conservation
  • Overview of challenges and needs of conservation projects
  • Importance to analyse local to global animal movement patterns in combination with environmental data

By the end of the Summer School, participants will be able to:

  • Know what and how conservation can be helped by applying remote sensing and modelling
  • Apply remote sensing analysis and use satellite data to analyse land cover status
  • Collect field data using GPS and tracking devices and analyse them inside a GIS
  • Design and perform analysis using spatial data and spatial analysis techniques
  • Conduct time-series land cover analysis using satellite imagery
  • Link species presence/absence or abundance data to spatial data
  • Apply animal movement model and link them to environmental data
  • Apply advanced spatial analysis techniques to real-world conservation and ecology problems

Download the Course Flyer


Summer School: August 11- 25, 2013
(arrival on the 11st, workshops start on the 12th at 9am)

Application deadline: March 31st, 2013


Max Planck Institute for Ornithology, Radolfzell - Germany. Link.

For more information please visit: www.animove.org 

Sponsors and organising institutions

MPIO     dlr-logo     ENB logo en farbe eps     gce logo w name     logo Biogeo modelling Reineking004     SI large color     UniWürzburg-Siegel    ZSL black

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