Ecological Forecasting Initiative

📈Keen to learn how to quantify ecological stability? Join the EFI webinar by Ludmilla Figueiredo @idiv-research.bsky.social & Viktoriia Radchuk from #IZW to learn about package estar March 2nd, 18:00 CET.
@ecoforecast.bsky.social

How to Accelerate Advances in Ecological Forecasting - Eos Developing shared cyberinfrastructure can enhance predictions of ecological change and enable improved decisionmaking for resource management and public well-being.

New article about lessons learned from a series of EFI meetings on "How to Accelerate Advances in Ecological Forecasting" eos.org/science-upda...

Ecological Forecasting Initiative: Annual Report Email from Ecological Forecasting Initiative 2025: A year in review       EFI Year in Review: Advancing the Science and Community of Ecological Forecasting The Momentum of 2025 2025 provided another y

The 2025 Ecological Forecasting Initiative annual report is now available!

Find out the exciting progress and connections that were made by the community in 2025 at: conta.cc/4ry9hjk.

Forecasting challenges have become a powerful catalyst for advancing tools, infrastructure, frameworks, and education within the field of ecological forecasting. Come along to hear (and discuss) how forecasting (challenges) can be used in education and the continued growth of ecological forecasting!

The next European EFI Chapter webinar is on 11th March at 1pm CET by @freyaolsson.bsky.social

Find the abstract and details for joining the call at: euro-ecoforecast.wordpress.com/seminar-seri...

More details about the webinar series and previous sessions are available at: ecoforecast.org/workshops/st...

This talk will introduce the ‘functional’ and ‘Jacobian’ stability properties functions, explain options for including reference system dynamics, and touch upon Multivariate autoregressive state space models that underlie the computation of Jacobian stability metrics.

The {estar} R package implements a standardised toolkit for calculating a wide range of ecological stability metrics from time-series and community data, enabling researchers to quantify how individuals, populations, and communities respond to disturbances.

Welcome! You are invited to join a webinar: EFI-ESA Stats Seminar: The {estar} R package to measure ecological stability. After registering, you will receive a confirmation email about joining the web... This Statistical Methods seminar by the Ecological Forecasting Initiative and the Ecological Society of America Statistical Ecology Section is hosting Ludmilla Figueiredo (German Centre for Integrativ...

The next Statistical Methods webinar hosted with the @ecologicalsociety.bsky.social Statistical Ecology Section will be at noon US ET next Monday, March 2.

Ludmilla Figueiredo and Viktoriia Radchuk will present on “The {estar} R package to measure ecological stability”

Register at: bit.ly/4anpv8P

Tomorrow! Join the European EFI chapter to learn about PhenoFormer, a deep learning architecture for species-level phenology modeling, and to learn how to make deep learning models more robust to distributional shifts induced by climate change, thereby better suited for ecological forecasting.

Vivien Sainte Fare Garnot will present on PhenoFormer, a deep learning architecture for species-level phenology modeling and provide thoughts on how to make deep learning models more robust to the distributional shifts induced by climate change, and therefore more suited for ecological forecasting.

The European EFI Chapter's February seminar is next Wednesday, Feb 11 at 1pm CET.

Find the abstract and details for joining the call at: euro-ecoforecast.wordpress.com/seminar-seri...

In this talk, @maximilianpichler.bsky.social will introduce deep regression modeling in R using the ‘cito’ package as an alternative to classical statistical regression models for typical ecological tasks.

More details about the webinar series are available at: ecoforecast.org/workshops/st...

cito: Building and Training Neural Networks The 'cito' package provides a user-friendly interface for training and interpreting deep neural networks (DNN). 'cito' simplifies the fitting of DNNs by supporting the familiar formula syntax, hyperpa...

The {cito} R package provides a user-friendly interface for training and interpreting deep neural networks (DNN) in the familiar regression style. It supports the formula syntax, hyperparameter tuning under cross-validation, and helps to detect and handle convergence problems.

Welcome! You are invited to join a webinar: EFI-ESA Stats Seminar: cito R package and neural networks. After registering, you will receive a confirmation email about joining the webinar. This Statistical Methods seminar by the Ecological Forecasting Initiative and the Ecological Society of America Statistical Ecology Section is hosting Dr. Maximilian Pichler from the University of Reg...

The next Statistical Methods webinar co-hosted with the @ecologicalsociety.bsky.social Stats Ecology Section will be at noon US ET next Monday, February 2.

@maximilianpichler.bsky.social will present on “The {cito} R package: Building and Training Deep Neural Networks”

Register at: bit.ly/4jPJmkh

Learn about @mkour.bsky.social's impact-oriented forecasting perspective that links coasts of biological invasion to ecological traits, trait dynamics, and environmental and socioeconomic context. Also learn about how scenario-based forecasting of invasion can inform management and policy decisions.

Reminder to join us tomorrow for the next European EFI Chapter, which will be by @mkour.bsky.social!

Find the abstract for the seminar and details on how to join at: euro-ecoforecast.wordpress.com/seminar-seri...

The newsletter also has reminders about nominations for the EFI Steering Committee & for the Ecological Forecasting Outstanding Paper award, an announcement of the Social Science and Ecoforecasting award, notifications about upcoming seminars, and updates about working groups.

Ecological Forecasting Initiative January 2026 Newsletter Email from Ecological Forecasting Initiative EFI Newsletter Issue 55| January 26, 2026 Trouble viewing this email? View as Webpage As we kick off another year I'm excited to announce the launch of the

Issue 55 of the EFI Newsletter is out! conta.cc/4sXY90g

The big update is the launch of the Asian EFI Chapter! If you or your colleagues are interested in connecting with this chapter, fill out the expression of interest form to learn about upcoming activities for that group.

@mkour.bsky.social will present an impact-oriented forecasting perspective that links costs of biological invasion to ecological traits, trait dynamics, and environmental and socioeconomic context. Further scenario-based forecasting of invasion impacts can inform
management and policy decisions.

Flyer with Melina Kourantidou's seminar title

Join us for the bonus European EFI Chapter January virtual seminar on 28th January at 1pm CET by @mkour.bsky.social!

Find the abstract for the seminar and details on how to join at: euro-ecoforecast.wordpress.com/seminar-seri...

This presentation will outline how BON in a Box can enhance ecological forecasting by streamlining workflow reproducibility, enabling scenario exploration, and supporting the integration of forecasting models into global biodiversity monitoring.

Reminder to join the European EFI Chapter this Wednesday, 14th January at 3pm CET for their monthly seminar by Jory Griffith with @geobon.org!

Details on how to join the virtual seminar can be found at: euro-ecoforecast.wordpress.com/seminar-seri...

In this talk, Dr. Dumelle will provide an overview of spatial statistics and show how to use {spmodel} to fit, interpret, and make predictions using spatial models.

More details about the webinar series and previous sessions are available at: ecoforecast.org/workshops/st...

Spatial Statistical Modeling and Prediction Fit, summarize, and predict for a variety of spatial statistical models applied to point-referenced and areal (lattice) data. Parameters are estimated using various methods. Additional modeling featur...

The {spmodel} R package (usepa.github.io/spmodel/) is free software for creating spatial models with the splm() and spglm() functions, building on R’s familiar lm() and glm() functions, to formally account for spatial dependence among nearby observations.

Video Conferencing, Web Conferencing, Webinars, Screen Sharing Zoom is the leader in modern enterprise video communications, with an easy, reliable cloud platform for video and audio conferencing, chat, and webinars across mobile, desktop, and room systems. Zoom ...

Reminder to join us next Monday, January 12, at noon US ET.

We are co-hosting the Statistical Methods webinar series with the @ecologicalsociety.bsky.social to hear from Dr. Michael Dumelle about “Building Spatial Statistical Models in R using {spmodel}”.

Register at: bit.ly/4i7l0BD

EFI Social Science & Ecoforecasting Award RFP.

📆Deadline: Dec 15, 2025

$1,000 grants available for 5 project groups led by a social scientist to either 1) develop a proposal for external funding or 2) convene a group to explore ideas and potential funding sources.
ecoforecast.org/social-scien...

In this talk, Dr. Dumelle will provide an overview of spatial statistics and show how to use {spmodel} to fit, interpret, and make predictions using spatial models.

More details about the webinar series and previous sessions are available at: ecoforecast.org/workshops/st...

The {spmodel} R package (usepa.github.io/spmodel/) is free software for creating spatial models with the splm() and spglm() functions, building on R’s familiar lm() and glm() functions, to formally account for spatial dependence among nearby observations.

Welcome! You are invited to join a webinar: EFI-ESA Stats Seminar: spmodel R package. After registering, you will receive a confirmation email about joining the webinar. This Statistical Methods seminar by the Ecological Forecasting Initiative and the Ecological Society of America Statistical Ecology Section is hosting Michael Dumelle from the U.S. Environmental Prote...

Mark your calendar for Jan 12, 2026!

The next Statistical Methods webinar hosted with the @ecologicalsociety.bsky.social Statistical Ecology Section will be at noon US ET.

Michael Dumelle will present on “Building Spatial Statistical Models in R using {spmodel}”

Register at: bit.ly/4i7l0BD