Romain Bertrand
@romainbertrand.bsky.social
540 followers 77 following 16 posts
Researcher in global change ecology (mainly on forest ecosystem) at the CRBE lab (Toulouse, France) @cnrs.bsky.social
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We are collecting leaves 🍃 for whole genome sequencing that we will confront to dendrochronological, dendrometric, edaphic and microclimate data.
Reposted by Romain Bertrand
Quelle insolence! Voila maintenant que l’atmosphère nous tire la langue après avoir rasé la moustache!
👀😜
Thank you to ONF and mayors for opening the doors of their forests.

@cnrsecologie.bsky.social
@universitetoulouse.bsky.social
A lot of work done, and more to come until September!
And a lot of fun too with PhD student and interns.
We are collecting leaves 🍃 for whole genome sequencing that we will confront to dendrochronological, dendrometric, edaphic and microclimate data.
Since early July, my team and I are exploring the forests of the French Pyrenees🌳🌲. Why?

We are trying to understand whether beech are adapting to climate change at its elevational trailing and leading edges.
Reposted by Romain Bertrand
OPINION
Counterintuitive Range Shifts May Be Explained by Climate Induced Changes in Biotic Interactions

🔗 buff.ly/4Uf5v3p
Reposted by Romain Bertrand
Together w/ Fabien Spicher to install #TMS4 loggers to record microclimatic conditions across the 💯 permanent 🌳🌲 plots of the #RENECOFOR network spread across 🇨🇵

Paired w/ soundscape loggers 🦉🦇 installed by Kevin Darras

#PEPR #FORESTT PC #MONITOR Tasks 3.1 & 3.2 to feed models from Task 3.4 🛰🌳🌐🧪
Reposted by Romain Bertrand
Projected Increases in Climate Extremes Across Global Vertebrate Diversity Hotspots

🔗 buff.ly/md65uGL
@zacksteel.bsky.social
Reposted by Romain Bertrand
Conserving the beauty of the world’s reef fish assemblages 💙

Check out our last paper @pnas.org

We mapped what makes reef fish assemblages beautiful worldwide! 🌍

MPAs boost aesthetic, and developing countries have a chance to align conservation with local benefits

doi.org/10.1073/pnas...

🌐🧪🦑🦤
Reposted by Romain Bertrand
CNRS @cnrs.fr · Jun 17
À la suite des recommandations de son Comité d’éthique, le CNRS vient de publier un guide de l’expression publique à destination de ses personnels scientifiques. Véritable boîte à outils, ce document les accompagne dans leurs prises de parole médiatiques
www.cnrs.fr/fr/actualite...
Un guide pour accompagner l’expression publique des scientifiques du CNRS
Afin d’aider les personnels scientifiques qui le souhaitent dans leurs prises de parole médiatiques, le CNRS leur propose un guide de l’expression publi
www.cnrs.fr
Reposted by Romain Bertrand
Reposted by Romain Bertrand
The Response of Carbon Uptake to Soil Moisture Stress: Adaptation to Climatic Aridity

📄 buff.ly/fA7kTkN
Reposted by Romain Bertrand
Reposted by Romain Bertrand
Reposted by Romain Bertrand
New #statistics #ecopubs @esajournals.bsky.social:

Predictive models are indeed useful for causal inference doi.org/10.1002/ecy....

Sounds like a response to 'Predictive models aren't for causal inference' doi.org/10.1111/ele....
The subject of investigating causation in ecology has been widely discussed in recent years, especially by advocates of a structural causal model (SCM) approach. Some of these advocates have criticized the use of predictive models and model selection for drawing inferences about causation. We argue that the comparison of model-based predictions with observations is a key step in hypothetico-deductive (H-D) science and remains a valid approach for assessing causation. We draw a distinction between two approaches to inference based on predictive modeling. The first approach is not guided by causal hypotheses and focuses on the relationship between a (typically) single response variable and a potentially large number of covariates. We agree that this approach does not yield useful inferences about causation and is primarily useful for hypothesis generation. The second approach follows a H-D framework and is guided by specific hypotheses about causal relationships. We believe that this has been, and continues to be, a useful approach to causal inference. Here, we first define different kinds of causation, arguing that a “probability-raisers-of-processes” definition is especially appropriate for many ecological systems. We outline different scientific “designs” for generating the observations used to investigate causation. We briefly outline some relevant components of the SCM and H-D approaches to investigating causation, emphasizing a H-D approach that focuses on modeling causal effects on vital rate (e.g., rates of survival, recruitment, local extinction, colonization) parameters underlying system dynamics. We consider criticisms of predictive modeling leveled by some SCM proponents and provide two example analyses of ecological systems that use predictive modeling and avoid these criticisms. We conclude that predictive models have been, and can continue to be, useful for providing inferences about causation.
Reposted by Romain Bertrand
A global analysis of altered species compositions and climate change reveals the extent to which ecosystems, including in protected areas and biodiversity hotspots, are exposed to novel conditions due to anthropogenic forces rdcu.be/edTpA
Widespread ecological novelty across the terrestrial biosphere
Nature Ecology & Evolution - Even outside urban and agricultural areas, ecosystems are vastly transformed as a result of human activities. Here the authors map patterns in climate change,...
rdcu.be
Reposted by Romain Bertrand
What determines the height of a forest? A study finds that soil properties, topography, and regional climate explain 75% of the variation in tropical forest canopy height. Dry season length and elevation were among the key variables. In PNAS: www.pnas.org/doi/10.1073/...
Distribution of canopy height derived from data from Global Ecosystem Dynamics Investigation (GEDI), a space-borne Light Detection and Ranging (LiDAR) instrument.
Reposted by Romain Bertrand
Examining life-history differences among vertebrates and their mode of reproduction, Brooks et al. find that land vertebrate life histories are more constrained than aquatic ones, suggesting a wider diversity of reproductive strategies in aquatic habitats than in terrestrial ones
Fundamental constraints on vertebrate life history are shaped by aquatic–terrestrial transitions and reproductive mode
Nature Ecology & Evolution - The authors examine life-history differences between terrestrial versus aquatic vertebrates and their mode of reproduction. They find that land vertebrate life...
rdcu.be
Reposted by Romain Bertrand
Why do we fear some animals more than others? 🕷️🐍🐊

Check out our study in @peopleandnature.bsky.social with @karlzlr.bsky.social on danger and fear in shaping human biophobia. Fear isn’t just danger—social & cultural factors matter!

🔗 besjournals.onlinelibrary.wiley.com/doi/full/10....

🌐🧪🌍🦤
Reposted by Romain Bertrand
CNRS @cnrs.fr · Mar 6
#Communiqué 🗞️ Le CNRS exprime sa solidarité avec les scientifiques exerçant aux États-Unis, où la liberté académique est aujourd'hui mise à l’épreuve.

👉 www.cnrs.fr/fr/presse/le...