Spatial data: environment and society

Announcement and Call for Contributions.

Organized by Labex CeMEB, Labex NUMEV, and UMR TETIS.

A set of data spatialization techniques is currently available in ecology and environmental sciences to perform detailed diagnostics of the distribution of habitats, species, populations, and individuals in space, as well as to track animal movements. The rise of sensors and associated communication networks now allows for the deployment of systems for characterizing the environment at the plant level on a global scale. 

The information acquired is used in the field of spatial ecology to better understand how intra- and interspecific ecological interactions are organized both spatially and temporally. It also enables the production, analysis, modeling, and interpretation of geographic information that is essential for monitoring the environment in the face of global change, and has proven useful for the sustainable management of natural environments and agricultural, forest, and artificial spaces.

Furthermore, meeting society's needs requires going beyond the production of observational data. This data can be integrated into modeling or decision-making tools, taking into account its uncertainties, synthesized in the form of indicators in observatories, or used in consultation processes or new forms of open science (living labs, etc.). Their multiple impacts (socio-economic, environmental, democratic, etc.) can also be assessed.

The day will consist of three sessions with two introductory presentations followed by presentations (10 minutes) selected from the call for papers. Flash presentations (3 minutes oral plus poster) will also be possible during coffee and lunch breaks.