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Climate Modelling, the Data-Image and the Possible in Forest Ecologies: How an Art/Science Collaboration Engages with Ecoliteracy

Published online by Cambridge University Press:  12 February 2026

Blandine Courcot
Affiliation:
DOT-Lab, TÉLUQ University, Montreal, QC, Canada
Gisèle Trudel*
Affiliation:
School of Visual and Media Arts, Faculty of Arts, University of Quebec at Montreal (UQAM), Montreal, QC, Canada
*
Corresponding author: Gisèle Trudel; Email: trudel.gisele@uqam.ca
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Abstract

Climate scenarios are produced through modelling, scientists draw on previously collected data and directions retrieved from governmental reports. In this article, an environmental data scientist and an artist-researcher reflect on their long-term art/science collaboration. They examine how certain models operate in forest ecologies. The concept of the “possible” by French philosopher Henri Bergson (1859–1941) accompanies them in questioning the idea of a future that would be already predetermined or resolved. This is to offer alternative views of the climate emergency, notwithstanding its unprecedented importance and scale. Climate modelling remains open to change, as does the experience of various types of imagery in art. With the notion of the “data-image”, the authors delve into a local/micro incursion about tree carbon quantification visualisation techniques. This is discussed through an immersive outdoor art installation, according to experiential learning in place-based and arts-based interdisciplinary collaboration with digital media. The process of questioning how these images are produced and disseminated are ways to support visual literacy as it moves towards ecoliteracy. A thematic overview of responses by publics who experienced the art installations is included, to highlight the role of creativity and imagination with art in environmental education.

Information

Type
Article
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided that no alterations are made and the original article is properly cited. The written permission of Cambridge University Press or the rights holder(s) must be obtained prior to any commercial use and/or adaptation of the article.
Copyright
© The Author(s), 2026. Published by Cambridge University Press on behalf of Australian Association for Environmental Education
Figure 0

Figure 1. The five shared socioeconomic pathways and the associated challenges to mitigation and adaptation. (2025). Copyright-free. Used with permission by ClimateData.ca.

Figure 1

Figure 2. Ælab and MÉDIANE. (2024). c-six [Immersive outdoor media installation]. Quai5160 – Maison de la culture de Verdun (Quebec, Canada). Photo: Richard-Max Tremblay. With permission by MÉDIANE.

Figure 2

Figure 3. Ælab and MÉDIANE. (2024). c-six [Immersive outdoor media installation]. Quai5160 – Maison de la culture de Verdun (Quebec, Canada). Photo: Richard-max Tremblay. With permission by MÉDIANE.

Figure 3

Figure 4. FiCEL parcel no 13. Sainte-Émélie-de-l’Énergie, Quebec, Canada. Drone image by Daniel Namur. With permission by DOT-Lab.

Figure 4

Figure 5. Drone image (Figure 4) as trained in the DeepForest algorithm (Weinstein et al., 2020), by Blandine Courcot. The blue square-shaped outlines indicate the automatic recognition of a tree canopy using DeepForest. With permission by DOT-Lab.

Figure 5

Figure 6. (a)–(d) Ælab and MÉDIANE. (2024). c-six [Composition_A. Screen renders in TouchDesigner software. A sequence showing drone imagery as it becomes recognised as the tree canopy with computer vision]. Visual programmer: Marc-André Cossette. With permission by MÉDIANE.

Figure 6

Figure 7. Ælab and MÉDIANE. (2024). c-six [Immersive outdoor media installation, Composition_A, as experienced in the installation]. Quai5160 – Maison de la culture de Verdun (Quebec, Canada). Photo: Denis McCready. With permission by MÉDIANE.

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Figure 8. 3D model by Blandine Courcot, Pix4D software. Obtained by drone images, as in Figure 4. With permission by DOT-Lab.

Figure 8

Figure 9. Ælab and MÉDIANE. (2024). c-six [Composition_B. Screen render in TouchDesigner software]. Visual programmer: Marc-André Cossette. With permission by MÉDIANE.

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Figure 10. Ælab and MÉDIANE. (2024). c-six [Immersive outdoor media installation. Composition_B, as experienced in the installation]. Quai5160 – Maison de la culture de Verdun (Quebec, Canada). Photo: Richard-Max Tremblay. With permission by MÉDIANE.

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Figure 11. Ælab and MÉDIANE. (2024). c-six [Composition_C. Screen render in TouchDesigner software]. Visual programmer: Marc-André Cossette. With permission by MÉDIANE.

Figure 11

Figure 12. Ælab and MÉDIANE. (2024). c-six [Immersive outdoor media installation. Composition_C, as experienced in the installation]. Quai5160 – Maison de la culture de Verdun (Quebec, Canada). Photo: Denis McCready. With permission by MÉDIANE.

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Figure 13. Ælab and MÉDIANE. (2024). c-six [Composition_D. Screen render in TouchDesigner software]. Visual programmer: Marc-André Cossette. With permission by MÉDIANE.

Figure 13

Figure 14. Ælab and MÉDIANE. (2024). c-six [Immersive outdoor media installation]. Quai5160 – Maison de la culture de Verdun (Quebec, Canada). Photo: Richard-Max Tremblay. With permission by MÉDIANE.