Spatial Data: Environment and Society

Announcement and Call for Submissions.

Organized by the CeMEB and NUMEV Labex programs and the TETIS UMR.

A range of data spatialization techniques is currently available in ecology and environmental science to conduct detailed analyses of the spatial distribution of habitats, species, populations, and individuals, as well as to track animal movements. The rapid advancement of sensors and associated communication networks now makes it possible to deploy systems for characterizing the environment from the base of a plant to a global scale. 

The information obtained is used in the field of spatial ecology to better understand how intra- and interspecific ecological interactions are organized both in space and in time. It also enables the generation, analysis, modeling, and interpretation of geographic information essential for monitoring the environment in the face of global changes and has proven useful for the sustainable management of natural environments as well as agricultural, forested, and built-up areas.

Furthermore, meeting society’s needs requires going beyond the mere production of observational data. Such data can be integrated into modeling or decision-support tools while taking into account their uncertainties, synthesized as indicators in observatories, or utilized in consultation processes or new forms of open science (such as living labs). Their multiple impacts (socioeconomic, environmental, democratic, etc.) can also be assessed.

The day will consist of three sessions, each featuring two introductory talks followed by presentations (10 minutes) selected through the call for papers. Flash presentations (3-minute oral presentation plus poster) will also be possible during coffee and lunch breaks.