#PhDPosition in Ecological #DataScience in our group. For details, see www.uni-regensburg.de/universitaet... #MachineLearning #AI #DeepLearning #Statistics #Ecology #AcademicJobs
Dear colleagues, we are searching for candidates to fill a Full W3 Professorship for Plant #Ecology at the University of Regensburg, Germany. For details, see www.nature.com/naturecareer... 🌐 🌎 #AcademicJobs
Our new study: Species Richness Gradients Vary Across Phylogenetic Scales led by Antonin Machac and David Storch now published in GEB.
We show that species richness gradients in young clades differ, whereas older clades converge on similar gradients.
onlinelibrary.wiley.com/doi/10.1111/...
Still a week until the deadline to apply for 3 of the PhD position as well as the Data Scientist position in our group. For details, see www.uni-regensburg.de/universitaet...
Check out our new preprint, led by @melinaleite.bsky.social “Dispersion tests in generalised linear mixed-effects models - a methods comparison and practical guide” ecoevorxiv.org/repository/v...
We are hiring: 4 PhD Positions in Ecology / Data Science and one Ecological Data Scientist. For more information, see www.uni-regensburg.de/universitaet...
Consider joining our session at the World Biodiversity Forum (WBF) 2026 in Davos:
Spatial models for biodiversity: Exploring state-of-the-art applications
Details and abstract submission are here meetingorganizer.copernicus.org/WBF2026/sess...
📣 Plenary speaker #5:
Dr. Florian Hartig @florianhartig.bsky.social
Professor for theoretical ecology at the University of Regensburg. His research concentrates on theory, simulation models, statistical methods and data science / AI in ecology, evolution and conservation.
statisticalecology.org
Our new study “Human and apex predators shape lower trophic levels through top-down control”, led by Ye Htet Lwin and conducted in in Htamanthi Wildlife Sanctuary, northwestern Myanmar, now out in Biological Conservation www.sciencedirect.com/science/arti...
I will soon open up calls for a PhD student (free choice of topic as long as it fits to our group) and a scientific programmer / ecological data scientist. If you know what we are doing and would like to join our team, feel free to get in touch.
🌍 Excited to be part of the Global Ecology Starter Pack - a great way to discover and connect with people interested in ecology at large scales! go.bsky.app/F86HYqj
👉 If you’d like to join the next pack (Vol_3 is in the works), DM @global-ecology.bsky.social. 🌐
Our new article “Advancing general ecosystem models (GEMs): Towards a mechanistic understanding of the biosphere in the light of the Anthropocene” let by Joachim Paul Töpper just out at Ecological Solutions and Evidence dx.doi.org/10.1002/2688...
Spannender Artikel (Paywall) von @christianschwaegerl.mastodon.social.ap.brid.gy in der @faznet.bsky.social zur Diskussion über das Insektensterben & die Krefeld-Studie.
U.a. mit Argumenten von @sebseibold.bsky.social @florianhartig.bsky.social & Jens Dauber vom @thuenen.de.
That being said, I agree that standard S3 functions schools conform to R defaults as far as possible and I’ll have a look at the example you point out … there are a number of other standard S3 functions that we still need to implement
Hi Norm, thanks for your comments - if you encounter any bugs or have suggestions for changes, please post them at github.com/citoverse/ci...
deep neural networks in one line of R code, with convenient options for automatic hyperparameter tuning, xAI and bootstrapping.
The current CRAN version supports only fully connected DNNs, but our development version on GitHub also includes CNNs and multi-modal architectures.
Looking for a simple way to do #deeplearning in #Rstats? Check out cito, available on #CRAN via cran.r-project.org/web/packages... and presented in this recent Ecography paper nsojournals.onlinelibrary.wiley.com/doi/full/10....
Cito is an interface to torch for R and supports building and training
Nice! How do you see this in relation to ggeffects?
But why does the effect appear in the first place? We believe the reason is that as mutualism rates are predicted by latitude, mutualism and latitude are perfectly nonlinear confounded. Using only a linear model, nonlinear effects of latitude create spurious effects of mutualism.
The main issue we see is that the mutualism covariate is not measured, but predicted by a very simple model that only depends on latitude (R2 = 0.14). Predicting mutualism rates with a more precise model (R=0.39) removes any effect of this covariate in the main regression.
In Nature, Delavaux et al., 2024 suggest that species richness on oceanic islands is reduced by mutualism rates on the mainland. In arxiv.org/abs/2411.15105, @maximilianpichler.bsky.social and I had another look at this question and conclude that this effect is likely a statistical artefact.
Well, I've heard it said that great minds think alike ... ;)
It may be time for a starter pack of ecology starter packs ...
Just created a starter pack for ecological forecasting community! 🦋🍃 Please let me know if you want to be added!
go.bsky.app/Qk9PfFw
Our study "Analyzing longitudinal trait trajectories using #GWAS identifies genetic variants for kidney function decline" led by Simon Wiegrebe and Iris Heid just published via www.nature.com/articles/s41...
On my way back from a short visit at Uni Birmingham! Thanks Juliano Sarmento Cabral for inviting me!
go.bsky.app/NiaWN5i
I'm happy to receive suggestions for this.
Our preprint "Calibration, sensitivity and uncertainty analysis of ecological models -- a review" with Anne Malchow now available at doi.org/10.22541/au.... Comments welcome!
