bio-logging symposium 2017

The bio-logging symposium will take place this September in Konstanz, Germany. The symposium from 25th to 29th of September is organized by the MPI of Ornithology, where we also have our AniMove courses.

see more details about the bio-logging symposium here:

you might also want to combine it with the AniMove science school a few weeks earlier – apply before March 31st here: AniMove 2017 at MPI

AniMove logo

After quite some years of AniMove courses and realizing that this idea of one (1) AniMove developed into a series of AniMove science schools, we decided back in summer 2016 during our AniMove at MPI that a logo for AniMove would be great. 6 months later and going through many discussions in 2016 and 2017 we finally have a logo that nicely reflects AniMove topics. We would have loved to have a track, DBB, a satellite, remote sensing or some code in it, but quickly realized that we cannot have a logo which includes all of our topics covered during the 2 intense AniMove weeks. Now we can use it for our upcoming AniMove in August/September at MPI, close to Lake Konstanz, Germany.

Successful AniMove at BIK-F finished

Two intense weeks of AniMove at BIK-F in Frankfurt successfully finished. The highly motivated and skilled attendees from various countries and studying movement patterns of various animals learned a wide range of animal movement analytics as well as spatial data handling and remote sensing. All approaches were explained in detail and all following analysis were done using actual data in an open source environment (R). We are very thankful to Thomas Müller and Chloe Bracis who organised the AniMove this time and we are looking forward to an exiting 2017 with one or more AniMoves! More details about upcoming AniMoves and respective application dates will be posted on our webpage soon. Moreover, we will also update our image galleries for the two AniMoves in 2017 over the christmas break. We hope all attendees apply the learned techniques successfully in their ongoing research and do not hesitate to ask about approaches or problems, especially with R code on your listserv:

AniMove 2017 at BIK-F started


The AniMove at BIK-F in Frankfurt started successfully and will cover a variety of animal movement analysis approaches as well as remote sensing and GIS tasks in the next two weeks.  We are very much looking forward to an exciting time and highly interested and motivated to work on animal tracking data, learn the statistical approaches and combining it with environmental data derived through remote sensing. All tasks will be achieved using Open Source software such as R and QGIS. All attendees will be exposed to lots of R coding in this science school. Evening talks are organized as well and introduce general advances within the AniMove topics.animove_2017_bik-f_frankfurt_2animove_2017_bik-f_frankfurt_1

human pressure mapped globally

Global Urban Footprint (GUF) by DLR (Thomas Esch) for Italy to Croatia.

Global Urban Footprint (GUF) by DLR (Thomas Esch) for Italy to Croatia.

The Global Urban Footprint by DLR (Thomas Esch) has been released and provides a global coverage of urbanized areas. It might be for some species a very important environmental parameter to explain presence or certain movement patterns. From the DLR website: Currently, more than half of the world’s population are urban dwellers and this number is still rapidly increasing. Since settlements – and urban areas in particular – represent the centers of human activity, the environmental, economic, political, societal and cultural impacts of urbanization are far-reaching. They include negative aspects like the loss of natural habitats, biodiversity and fertile soils, climate impacts, waste, pollution, crime, social conflicts or transportation and traffic problems, making urbanization to one of the most pressing global challenges. Accordingly, a profound understanding of the global spatial distribution and evolution of human settlements constitutes a key element in envisaging strategies to assure sustainable development of urban and rural settlements.

In this framework, the objective of the “Global Urban Footprint” (GUF) project is the worldwide mapping of settlements with unprecedented spatial resolution of 0.4 arcsec (~12 m). A total of 180 000 TerraSAR-X and TanDEM-X scenes have been processed to create the GUF. The resulting map shows the Earth in three colors only: black for “urban areas”, white for “land surface” and grey for “water”. This reduction emphasizes the settlement patterns and allows for the analysis of urban structures, and hence the proportion of settled areas, the regional population distribution and the arrangement of rural and urban areas. More details at:

Further data portals and visualizations are available here:
Via U-TEP Website:
U-TEP Geobrowser:

and a ESA GUF article:

Impressions of AniMove 2016 at MPI in Germany


AniMove 2016 group picture at MPI in Möggingen with the lecturers Kamran Safi, Björn Reineking, James Cheshire, Justin Calabrese, Chloe Bracis, Chris Flemming and Martin Wegmann (from left to right) and Thomas Müller (behind the camera)


Kamran Safi and James Cheshire helping AniMove participants with R coding

Very intense days at the Max-Planck Institute for Ornithology at the Lake Konstanz, Germany, with AniMove courses and evening keynotes. The AniMove participants learn a huge diversity of animal movement techniques, spatial data analysis and remote sensing, all in open-source software R and QGIS. Great evening keynotes by the director Martin Wikelski and Iain Couzin present the vast variety of animal movement science. Further keynotes by James Cheshire ( show the power of visualization and further evening talks bymovement scientists such as Justin Calabrese provide in-depth information of animal movement potential and challenges.


Iain Couzin presenting recent research on group movement at AniMove

James Cheshire evening talk

James Cheshire evening talk

new publication on interdisciplinary training of remote sensing and movement

Some colleagues also partly related to the ongoing AniMove activities published a great article on “Bridging disciplines with training in remote sensing for animal movement: an attendee perspective”. From the abstract: Remote sensing and animal movement datasets are increasingly used to answer key questions in ecology and conservation. Collecting and accessing this data is becoming ever cheaper and easier, but limited analytical expertise limits its wider use. Working at the interface between these two disciplines is challenging as there are no standard techniques for handling the complex spatial data, so specific and in-depth training is required. Higher education programs rarely cover remote sensing for animal movement, so external courses play a major role in training newcomers and creating a more unified global community. We conducted an online survey to investigate the views of previous attendees of four training courses that involve remote sensing and animal location data. These courses provided subject-specific knowledge, practical and coding skills, networking, collaboration opportunities, insightful discussions and transferable research skills. Our survey highlighted the importance of real-world examples, practical sessions, time for participants to work with their own data, preparatory material and open source software. Despite the value of interdisciplinary training in remote sensing and animal movement, it reaches few ecology and conservation practitioners outside of academia. We advocate more funding for underrepresented participants to attend existing course and the development of new courses.

Clark, B. L., Bevanda, M., Aspillaga, E. and Jørgensen, N. H. (2016), Bridging disciplines with training in remote sensing for animal movement: an attendee perspective. Remote Sens Ecol Conserv. doi:10.1002/rse2.22

PostDoc position at Smithsonian on Movement Ecology

2-Year Postdoc in Movement Ecology

We seek a quantitative researcher with fluency in statistics to work in a team environment on projects related to animal movement. The successful candidate will work with our team to develop and refine a range of new analytical methods for movement data. Examples include incorporating barriers to movement in the continuous-time movement modeling framework, and quantifying encounter rates when individuals employ various continuous-time movement processes. Additionally, the postdoc will analyze data from species exhibiting 3D movements, including Andean condors, spider and howler monkeys, and Galápagos sea lions. The postdoc must be able to work productively in a team environment that includes ecologists, physicists, and computer scientists. Knowledge of R is necessary and experience with time-series analysis, spatial statistics or signal processing is highly desirable. Previous experience with movement ecology is not required, but would also be beneficial. We are particularly interested in someone with these quantitative skills who also has a documented history of publishing papers in ecological journals.

This postdoc is funded through a combination of NSF and institutional funds. Funding is available for one year, with the possibility of an extension to two years. The position is based in the Calabrese lab at the Smithsonian Conservation Biology Institute (Front Royal, VA, USA), but the postdoc will also interact closely with the Fagan lab at University of Maryland (College Park, MD, USA). Interested candidates should send a CV, letter of intent, and list of 3 references to Justin Calabrese ( The position will begin as soon as 1 Nov. 2016, but the start date can be delayed for the right candidate. Review of applications will begin immediately and will continue until the position is filled.