How many are out there? It's one of the oldest questions in ecology — and one of the hardest to answer well. This two-day event brings researchers and students together around the practice of estimating wildlife abundance, with a focus on distance sampling and mark-recapture methods.
A full day of teaching on capture-recapture, distance sampling, density surface models, and data integration. MSc, PhD, and ECRs.
Bring your dataset, your dilemma, your half-finished analysis. A morning of hands-on consultancy with the team.
We're still planning how to best structure the clinic — feel free to reach out if you have suggestions.
An open afternoon of student posters, invited talks, and a round-table discussion. Free and open to all.
On posters — these don't need to be as fully fledged as at a "normal" conference. It's perfectly acceptable, and even somewhat desirable, that posters present possible (even quite vague) plans for abundance estimation exercises, with an "Open Questions" section where participants would welcome feedback and advice.
Best student poster competition — there will be a prize for the best student poster!
Walk the line, record what you see, and let the detection function correct for what you missed. Classic and powerful.
Catch some, mark them, catch again. The overlap between samples reveals the size of the whole population.
Where are the animals, and why? GAM-based DSMs paint density across space using environmental covariates.
Surveys, telemetry, acoustic detections — combine multiple data streams in a single coherent likelihood for better estimates.
Distance sampling turns the simple act of walking a line and recording animals into a rigorous estimator of density. The further out an animal sits, the less likely you are to detect it — the detection function captures that decay, and corrects for what you missed.
Mark-recapture takes a different angle: catch some, mark them, catch again, and let the overlap tell you the population size. Over the workshop we'll cover both, plus the modern density-surface and point-process extensions that bring spatial covariates into the picture.
Morning — Clinic (target 40 max, MSc / PhD / ECRs, NGOs, Environmental Impact Assessment companies). Afternoon — open to all interested, no caps.
Coming as a group? If you're bringing students or are 3+ people, please get in touch beforehand. If your group is coming to present a case study, a single person from the group can cover the registration. We anticipate that case studies during the clinic will be presented by teams rather than individuals.
The workshop is hosted at Faculdade de Ciências da Universidade de Lisboa (FCUL), in Building C6, in rooms 6.2.40 and 6.2.53. Coffee breaks and social moments happen at Bar do C6.
Two metro stops are walking distance from the venue:
Room codes follow the pattern building.floor.room — e.g. 6.2.40 means building C6, floor 2, room 40.
Three complementary activities, designed so you can come for everything or just the parts that matter to your work.
| Complete program | Day 1 only | Day 2 morning only | Day 2 afternoon only* | |
|---|---|---|---|---|
| General public | €150 | €100 | €75 | €3 |
| FCUL researchers | €100 | €60 | €50 | €3 |
| Students (all levels) | €75 | €50 | €50 | €3 |
| CEAUL members | €50 | €30 | €30 | €3 |
Spaces are limited — 30 seats for the short course, 10 teams for the clinic. The afternoon of talks and posters is free and open to everyone.
Register now
Funded by national funds through FCT – Fundação para a Ciência e a Tecnologia, I.P., under CEAUL Research Unit, UID/00006/2025, DOI: https://doi.org/10.54499/UID/00006/2025, and by the European Union – NextGenerationEU through the project UID/PRR/00006/2025, DOI: https://doi.org/10.54499/UID/PRR/00006/2025.