Luíz Fernando Esser
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luizesser.bsky.social
Luíz Fernando Esser
@luizesser.bsky.social

👨🏻‍💻 Researcher
🌦️ Climate Change Impacts
🌳 Brazilian Atlantic Forest
🧭 Species Distribution Modeling

Maintainer of caretSDM and chooseGCM packages available on R's CRAN.

Environmental science 55%
Geography 14%

Usually this is avoided because of the high chance of perpetual recursion.

Me and my fellows have realized some years ago the potential of caret. Since then we could put together the caretSDM package which crosses caret and stars packages to build species distribution models. github.com/luizesser/ca...
GitHub - luizesser/caretSDM: caretSDM applies a geoprocessing framework to the caret machine learning package, facilitating the access of Species Distribution Modeling community to state-of-the-art me...
caretSDM applies a geoprocessing framework to the caret machine learning package, facilitating the access of Species Distribution Modeling community to state-of-the-art methods. - luizesser/caretSDM
github.com
We mourn the passing of our Editor-in-Chief Steve Long.

His vision to establish one of the first journals dedicated to Global Change over 30 years ago was truly ahead of its time. Through GCB, researchers have demonstrated that biology and ecosystems are not simply victims of global change..
426.98 parts per million (ppm) CO2 in air 22-Jul-2025
keelingcurve.ucsd.edu
The Keeling Curve
The Keeling Curve is a daily record of global atmospheric carbon dioxide concentration maintained by Scripps Institution of Oceanography at UC San Diego.
keelingcurve.ucsd.edu

✅ Practical applications for conservation, restoration, and predicting climate impacts on ecosystems.

#Ecology #Biodiversity #ClimateChange #OpenScience

✅ We explore how functional traits (not just species identity) can better capture community dynamics, especially under climate change.
✅ Highlighted the role of metacommunity theory and the need for hybrid approaches combining correlative and mechanistic models.

🔍 Key Takeaways:

✅ Community Distribution Models (CDMs) extend traditional species-level models to predict biodiversity patterns by integrating dispersal constraints, environmental filters, and biotic drivers.

🌍 New Publication Alert! 🌿
Excited to share our latest review article: "Species Distribution Models to Help Integrate Community Ecology" published in Austral Ecology!

📄 Open Access: Read the full article here: onlinelibrary.wiley.com/doi/10.1111/...
Species Distribution Models to Help Integrate Community Ecology
Species distribution models can be used to infer communities' distributions, but what are the impacts of methodological choices in the context of Community Ecology theory? Here we map how state-of-th...
onlinelibrary.wiley.com

📖 Learn more & contribute:

GitHub: github.com/luizesser/ca...

A huge thanks to everyone who supported this project! 🙏 I’d love your feedback—give it a try and let me know what you think!

#RStats #Ecology #SDM #DataScience #Biodiversity #CRAN
GitHub - luizesser/caretSDM: caretSDM applies a geoprocessing framework to the caret machine learning package, facilitating the access of Species Distribution Modeling community to state-of-the-art me...
caretSDM applies a geoprocessing framework to the caret machine learning package, facilitating the access of Species Distribution Modeling community to state-of-the-art methods. - luizesser/caretSDM
github.com

🔹 Key Features:
✔ Unified framework for SDM using caret
✔ Supports multiple algorithms (100+ algorithms)
✔ Automated model tuning & validation

📦 Install it now:

R> install.packages("caretSDM")

🔹 What does it do?
caretSDM integrates advanced geoprocessing tools with the caret ecosystem to streamline SDM workflows, making it easier to train, evaluate, and compare models for ecological and biodiversity research.

We are currently preparing a paper for submission, but some articles to help users are already available on the package website: luizesser.github.io/caretSDM/
Build Species Distribution Modeling using caret
Use machine learning algorithms and advanced geographic information system tools to build Species Distribution Modeling in a extensible and modern fashion.
luizesser.github.io

🎉 Exciting News! My R Package caretSDM is Now on CRAN! 🎉
I’m thrilled to announce that caretSDM, my new #RStats package for Species Distribution Modeling (SDM), is now available on CRAN! 🚀

#RStats #Ecology #SDM #DataScience #Biodiversity #CRAN
Can a global predictive #modelling approach be applied to a #regionalscale to address local #conservationefforts?
Check this out doi.org/10.1111/ddi....

100 citations according RG. A true milestone to any aspiring scientist.

www.researchgate.net/profile/Luiz... via @researchgate
Luíz Fernando Esser | Achievement
See this researcher's achievement on ResearchGate.
www.researchgate.net
Is nature a paradise, a resource, or a garden? Join us as Professor Sandra Díaz, 2025 Tyler Prize laureate, delves into why it’s time to rethink our relationship with the nature.

📆 5 March | From 5pm

Register now: https://www.oxfordmartin.ox.ac.uk/events/nature-narratives
Disequilibrium in plant distributions: Challenges and approaches for species distribution models - check our new review in @journalofecology.bsky.social doi.org/10.1111/1365... 🍃🌦️♨️🌿 #SDM #plants #speciesdistributions #ranges
Disequilibrium in plant distributions: Challenges and approaches for species distribution models
Plant distributions are often in disequilibrium with climate, not occupying all suitable habitat and present in conditions that no longer support long-term population persistence. This proves a chall...
doi.org

✅ A detailed tutorial on how to use the package.
If you're working with climate change projections and want a more efficient and reliable way to select GCMs, chooseGCM is for you! 🔥

🔗 Tutorial Video: www.youtube.com/watch?v=jmGL...
How to choose General Circulation Models using R
YouTube video by Luíz Esser
www.youtube.com

📽️ To make it easy to understand and apply, we’ve prepared two videos:
✅ A short 3-minute overview explaining the method.
🔗 Short Video: www.youtube.com/watch?v=tADR...
chooseGCM - Reasoning and Theory
YouTube video by Luíz Esser
www.youtube.com

🔬 Our recent publication presents a methodological framework that significantly reduces computational time by over 79% while maintaining a high correlation (>0.9) with full-scale simulations. This is a game-changer for species distribution modeling (SDM) and ecological niche modeling (ENM)!

🚀 New Tool for Climate Projections! 🌍📊
We are excited to introduce chooseGCM, our new R package designed to help researchers efficiently select General Circulation Models (GCMs) for climate projections! 🌱🌡️
Here’s what happens to regression 📈 when sample sizes are low…

even with a strong underlying correlation, sampling error will erode everything! 🧪 ‼️

#rstats simulation viz via the switchboard package for R
Nature @nature.com · Jan 24
Roughly 6,000 readers answered our poll, with many declaring that Bluesky was nicer, kinder and less antagonistic to science than X

https://go.nature.com/42tH8Ai
Bluesky’s science takeover: 70% of Nature poll respondents use platform
Roughly 6,000 readers answered our poll, with many declaring that Bluesky was nicer, kinder and less antagonistic to science than X.
go.nature.com
TECHNICAL ADVANCE
chooseGCM: A Toolkit to Select General Circulation Models in R

📄 https://buff.ly/3Pn3c7R