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ÉPICBiodiversity

@epic-biodiversity.org

99 followers 27 following 27 posts

We are the laboratoire d'Écologie Prédictive et Interprétable pour la Crise de la Biodiversité. 🌐 epic-biodiversity.org

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ÉPICBiodiversity @epic-biodiversity.org · 21/01/2026

But this hides one of the most fascinating differences across the Global North/Global South divide: the role of stakeholders and experts in this research is different. This difference is not only about whether categories intervene as stakeholders or experts, but also whether they intervene at all.

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ÉPICBiodiversity @epic-biodiversity.org · 21/01/2026

At the global scale, looking at the use of socio-ecological indicators for decision-making seems to remain a rich country game.

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ÉPICBiodiversity @epic-biodiversity.org · 21/01/2026

Second, stated v. revealed preferences differ, and economic data are still largely dominating the body of evidence mobilized for these papers.

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ÉPICBiodiversity @epic-biodiversity.org · 21/01/2026

First, we have never, collectively, published as much on socio-ecological indicators and decision making. But a lot of these publications still use the Millenium Ecosystem Assessment as their reference framework, with even the UN SDG struggling to catch up.

List of publications by framework -- MEA still dominates

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ÉPICBiodiversity @epic-biodiversity.org · 11/12/2025

We have added support for ESRI administrative areas to our species distribution #JuliaLang package — a lot more stable than GADM (although limited to level 1 divisions). 📗 Read more: poisotlab.github.io/SpeciesDistr...

GBIF occurrences of Mastomys natalensis in Tanzania

using SpeciesDistributionToolkit
const SDT = SpeciesDistributionToolkit
using CairoMakie

# Get the data
const DATA_DOI = "10.15468/dl.7ddsb7"
presences = GBIF.download(DATA_DOI)

# Get the country-level data
borders = getpolygon(PolygonData(ESRI, Places))["Country" => "Tanzania"]

# Make a plot
poly(borders, color=:grey95)
lines!(borders, color=:grey40, linewidth=0.5)
scatter!(presences, color=:white, strokecolor=:forestgreen, strokewidth=1)
current_figure()

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ÉPICBiodiversity @epic-biodiversity.org · 07/11/2025

This is because, although both species respond to, more or less, the same climatic variables, they respond to them differently. The potential to see their responses to climate change becoming decoupled is real!

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ÉPICBiodiversity @epic-biodiversity.org · 07/11/2025

Habitat becomes increasingly polarized in its suitability to either reservoir, with raccoons benefiting the most from more pessimistic scenarios: the places in which we expect the two reservoirs are different over time, and different under the four scenarios.

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ÉPICBiodiversity @epic-biodiversity.org · 07/11/2025

Long-story short, both species will gain potential habitat in the North, and this does not really slow down unless we manage to stick to SSP2-RCP4.5. Even SSP1-RCP2.6 is a fairly dramatic increase in potential habitat. Most densely inhabited areas in Québec are reached by 2100.

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