AniMove Core Teambrief introduction of the AniMove staff involved regularily
AniMove is a collective of international researchers with extensive experience in animal movement and remote sensing and interested to teach intensive training courses for studying animal movement by incorporating remotely sensed environmental data for the application within conservation. AniMove is a non-profit initiative – read more.
founding member, movement ecology, MPI-O
Kami is leading the Computational Ecology lab at the Max-Planck Institute for Ornithology at Radolfzell where he studies animal movement in relation to environmental resources and change. In his lab they work on the challenges and opportunities that large movement data bring. They develop methods to address some inherent issues that the constantly growing volume and granularity that modern tags provide. Ultimately they want to understand the individual environment association and try to extrapolate on higher level ecological processes such as population dynamics, disease spread or ecosystem service, as well as conservation.
founding member, remote sensing, University Wuerzburg/DLR
Martin is based at the remote sensing department of Prof. S. Dech, head of DLR-DFD (German Aerospace Data Center) in Würzburg where he leads the Remote Sensing and Biodiversity research topic. Moreover he is an assistant professor at the Global Change Ecology M.Sc. Program and the point of contact for the CEOS Biodiversity initiative, which aims at coordinating space borne activities for biodiversity and conservation related activities. He is lecturer at the EAGLE and GCE M.Sc. program and also leads the EcoSens.org activity.
animal movement ecology, BIK-F
Thomas is a Junior Professor at the Senckenberg Biodiversity and Climate Research Centre and the Goethe University Frankfurt. He is addressing theoretical and applied questions in ecology using animal movement data. These range from understanding behavioral mechanisms and social interactions of populations to macro-ecological patterns across species and regions. He is particularly interested in understanding the interactions between moving animals and their environment and their implications for conserving biodiversity in human modified landscapes.
movement ecology, BiK-F
Chloe is a postdoc in the Movement Ecology Group at the Senckenberg Biodiversity and Climate Research Centre BiK-F in Frankfurt, Germany where she studies how animals make decisions about where to move and then carry out these movements. She is interested in how explicitly considering movement and cognition can change our understanding of animal behavior. She has created simulation models to investigate these questions across a range of scales and contexts. She has worked on the mechanisms underlying the homeward migration of Chinook salmon from the ocean to the river mouth, how memory influences foraging behavior and food-safety tradeoffs in predator-prey interactions, and identifying drivers of large-scale movements of terrestrial mammals.
animal movement, Smithsonian
Justin Calabrese is a staff scientist and leader of the quantiative ecology lab at the Smithsonian Conservation Biology Institute. His general interests lie at the interface of theoretical ecology, statistics, and empirical ecology. He focuses on developing quantitative methods for analyzing animal relocation data, and making these techniques accessible a broad user audience. Justin is particularly interested in robustly quantifying animal space use and relating those estimates back to conservation issues. In addition, he studies how phenology affects the dynamics of both seasonal insect populations, and of emerging vector-borne diseases.
animal movement ecology, IRSTEA
Björn is Directeur de Recherche at Irstea in Grenoble. He is interested in the mechanisms that determine the distribution and abundance of organisms at various spatial scales. A particular focus lies on the interplay of species traits, dynamic processes like movement, and environmental conditions. He employs a wide range of modelling approaches, from process-oriented, individual based models to more traditional, phenomenological statistical methods.
animal movement, Smithsonian/UMD
Chris is a postdoc at the Smithsonian Conservation Biology Institute (SCBI) and University of Maryland (UMD) where he develops mathematical models, statistical methods, and computational algorithms for animal tracking data. He is interested in addressing the outstanding statistical questions that have strong implications on conservation and wildlife management, such as how much space animals require to live. He appropriates techniques from physics, geostatistics, and engineering when appropriate, while also deriving new analyses as necessary.
Further colleagues joined us for past AniMoves:
- Nathalie Pettorelli (conservation)
ZSL — contact: firstname.lastname AT animove.org
- Ned Horning
Director AMNH, Biodiversity and Remote Sensing
- Peter Leimgruber
Smithsonian Conservation Biology Institute, SCBI
- Martin Wikelski
- Elie Gurarie (movement analysis)
University of Maryland
- Georg Wittemyer (conservation)
Colorado State University
- Benjamin Leutner (remote sensing)
- Bart Kranstauber (movement)
- Marielle van Toor (movement)
- Mirjana Bevanda (movement)
- Ruben Remelgado (remote sensing)
Recent Blog Posts
A new R package to ease the analysis of animal movement and remote sensing or any kind of spatial environmental data has been published. The rsMove package so far provides the following functions: Dynamic analysis of environmental change (spatial and temporal) Dynamic...read more
the moveVis package is on CRAN with new functionality: the corresponding environmental values can be shown for the whole extent, as cumulative values per individual or across the whole group or just the average value of the last n steps to highlight changes in...read more
The ctmm R package is now available as webapp v0.0.5 beta for use and testing at https://ctmm.shinyapps.io/ctmmweb/ Video tutorials can be found here: https://github.com/ctmm-initiative/ctmm-webapp/blob/master/README-demo.md If you wish to install the app locally...read more