Spatial Data: Environment and Society

Announcement and Call for Papers.

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 proliferation of sensors and associated communication networks now enables the deployment of systems for characterizing the environment from the plant level to a global scale. 

The information gathered 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 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 and agricultural, forested, and urbanized areas.

Furthermore, meeting society’s needs requires going beyond the mere collection of observational data. Such data can be integrated into modeling or decision-support tools while accounting for their uncertainties, synthesized into indicators within monitoring networks, 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 talk plus poster) will also be held during coffee and lunch breaks.