The new wildlife tracking technologies (e.g., Global Navigation Satellite Systems) represent a powerful tool for wildlife studies, providing the researchers with vast, precise, high frequency animal movement datasets. Additional environmental and socio-economic datasets can be put into relation with animal distribution and space use, therefore allowing to address questions on ecosystem processes. At the same time, however, this information framework poses to biologists a number of new challenges in terms of data storage, management, analysis and dissemination. EURODEER (EUropean ROe DEER Information System) is an open, collaborative pro ject (http: //sites.google.com/site/eurodeerproject/) based on a spatial database of shared data all across Europe to investigate variation in roe deer behavioural ecology along environmental gradients and population responses to specific conditions, such as climate disruption, habitat changes, impact of human activities, different hunting regimes. At the moment, 15 research groups from 9 different European countries are joining the pro ject with the main goal is to fully explore the opportunities given by the new monitoring technologies for conservation and management at both local and global scale. The core spatial e-infrastructure is built with free and open source software (PostgreSQL, PostGIS, PhpPgAdmin) and hosted by Edmund Mach Foundation, Research and Innovation Centre. Open source software were selected because they are efficient, powerful but cost-effective products able to support a web-based multiuser environment, where roe deer location and activity data are integrated with several other environmental and socio-economic data sets. Moreover, open source philosophy is perfectly in line with data sharing persective that guides EURODEER project. The use of open standard ensure interoperability and thus enable all the pro ject’s participants to connected the database with a large set of client applications (GIS, web interfaces, statistics) both free (especially R, GRASS and QGIS) and proprietary, according to their preferences, in order to help storing, managing, accessing and analysing location and activity data. The database contains 270 321 animal locations relative to 87 animals monitored for 30 286 days and its size is growing quickly as new groups are joining. At the moment, the database is static, but the perspective is to turn it into an institutional, permanently structured and dynamically updatable data repository.
Urbano, F.; Cagnacci, F.; Basille, M.; Benesch, A.; Berger, A.; Bonenfant, C.; Caesar, J.; Dettki, H.; Focardi, S.; Fonseca, C.; Gaillard, J.M.; Heurich, M.; Hewison, M.; Kjellander, P.; Linnell, J.; Morellet, N.; Nicoloso, S.; Orlandi, L.; Pokorny, B.; Ramanzin, M.; Stache, A.; Sustr, P. (2009). European roe deer information system (EURODEER): a GFOSS collaborative platform for roe deer movement data sharing. In: GFOSS day 2009: Bolzano, 11-12 novembre 2009. url: http://www.gfoss.it/drupal/gfossday handle: http://hdl.handle.net/10449/20847
European roe deer information system (EURODEER): a GFOSS collaborative platform for roe deer movement data sharing
Cagnacci, Francesca;
2009-01-01
Abstract
The new wildlife tracking technologies (e.g., Global Navigation Satellite Systems) represent a powerful tool for wildlife studies, providing the researchers with vast, precise, high frequency animal movement datasets. Additional environmental and socio-economic datasets can be put into relation with animal distribution and space use, therefore allowing to address questions on ecosystem processes. At the same time, however, this information framework poses to biologists a number of new challenges in terms of data storage, management, analysis and dissemination. EURODEER (EUropean ROe DEER Information System) is an open, collaborative pro ject (http: //sites.google.com/site/eurodeerproject/) based on a spatial database of shared data all across Europe to investigate variation in roe deer behavioural ecology along environmental gradients and population responses to specific conditions, such as climate disruption, habitat changes, impact of human activities, different hunting regimes. At the moment, 15 research groups from 9 different European countries are joining the pro ject with the main goal is to fully explore the opportunities given by the new monitoring technologies for conservation and management at both local and global scale. The core spatial e-infrastructure is built with free and open source software (PostgreSQL, PostGIS, PhpPgAdmin) and hosted by Edmund Mach Foundation, Research and Innovation Centre. Open source software were selected because they are efficient, powerful but cost-effective products able to support a web-based multiuser environment, where roe deer location and activity data are integrated with several other environmental and socio-economic data sets. Moreover, open source philosophy is perfectly in line with data sharing persective that guides EURODEER project. The use of open standard ensure interoperability and thus enable all the pro ject’s participants to connected the database with a large set of client applications (GIS, web interfaces, statistics) both free (especially R, GRASS and QGIS) and proprietary, according to their preferences, in order to help storing, managing, accessing and analysing location and activity data. The database contains 270 321 animal locations relative to 87 animals monitored for 30 286 days and its size is growing quickly as new groups are joining. At the moment, the database is static, but the perspective is to turn it into an institutional, permanently structured and dynamically updatable data repository.
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