The algorithm ReMatch for the photo-identification of animals hits the news!
Tuesday, 13 October 2026
Tuesday, 6 October 2026
New Publication on Coastal Resilience!
Hernan, G., [...], Tavecchia, G., [...], Santangeli, A., [...] and Stelzenmüller, V. 2026. Coastal Resilience in a Changing World: Lessons, Gaps, and Pathways Forward". Bulletin of the American Meteorological Society, vol. 107, no. 9. E2326–E2336 https://doi.org/10.1175/BAMS-D-26-0238.1
The 4th-5th of November the Mediterranean Institute for Advanced Studies (IMEDEA, UIB/CSIC) hosted the International Symposium Coastal Resilience: Mitigating Threats for Healthy Oceans, bringing together more than 50 participants from over 15 international institutions.
The symposium fostered interdisciplinary discussions on the main challenges facing coastal ecosystems, identifying key knowledge gaps, barriers, and innovative research directions to help define future scientific priorities and inform research investment. The article at https://doi.org/10.1175/BAMS-D-26-0238.1 is the Meeting Report.
Monday, 7 September 2026
New publication on red-necked nightjars!
Hidalgo-Rodríguez, P, Sanz-Aguilar, A., Edelaar P., [...], Camacho, C. 2026 Temperature extremes across breeding and nonbreeding regions shape annual survival in a migratory bird, Current Zoology https://doi.org/10.1093/cz/zoag045
In a shell:Using 12 years of capture–recapture data from a migratory population of red-necked nightjars (Caprimulgus ruficollis), we found that adult survival was stable over time, with no effect of vegetation development (NDVI). In contrast, land surface temperature (LST) in both, wintering and breeding grounds, was positively associated with survival across age classes.
Summary:Migratory birds experience diverse ecological conditions throughout their migratory range that can influence survival, particularly during vulnerable life stages such as juveniles. Identifying the life stages and regions that constrain populations is therefore essential for migratory species of conservation concern, including aerial insectivores.
Using a migratory population of red-necked nightjars (Caprimulgus ruficollis) as a model, we analyzed 12 years (2010–2021) of capture–recapture data to estimate sex- and age-specific annual survival probabilities and assessed the effects of time (year), vegetation development (normalized difference vegetation index [NDVI]), and land surface temperature (LST) in the breeding (Doñana) and nonbreeding staging areas (Mali and Guinea). Survival probabilities remained constant throughout the study period. Adults showed higher survival (females: 0.660 ± 0.038 standard error (SE), 95% confidence interval [CI]: 0.581–0.731; males: 0.677 ± 0.037 SE, 95% CI: 0.6–0.746) than juveniles (females: 0.398 ± 0.040 SE, 95% CI: 0.323–0.479; males: 0.352 ± 0.036 SE, 95% CI: 0.285–0.426), after accounting for age-specific differences in recapture probabilities. NDVI did not affect survival. In contrast, LST in both Doñana and Guinea was positively associated with survival in adults and juveniles. Our findings demonstrate that climatic factors operating in geographically distant regions can jointly shape red-necked nightjar demography and suggest that this species may be relatively resilient to projected increases in temperature.
Raccoons in Mallorca!
Award! Best Poster at XXVII SEO congress
The poster presented by B. Albalat et al. on the effect of GPS deployment on the European Storm Petrel has been awarded among the best posters of the Congress. Congratulation Balma!
GEDA at the XXVII Spanish Ornithological Congress !
GEDA joined the XXVII Spanish Ornithologial Congress at Granda from the 2nd to 6th of September. See the program here
Tuesday, 21 July 2026
Subscriptions to CMRR 2026 workshop open!
Subscription to the upcoming workshop on CMRR analysis, now open.
INTRODUCTORY COURSE: 23 - 27 Nov. 2026, Mallorca, Spain
(places: 20, price 350Є)
This introductory course aims to introduce students, researchers and
environmental managers to the theory and practical aspects of the analysis of
capture-mark-recapture and –recovery data to estimate survival, recruitment and
dispersal probabilities. The
course is based on theoretical classes as well as practical sessions with real
and simulated data. The format of the course will be a combination of lectures and computer exercises with programs MARK, U-CARE and R. No previous knowledge of
these programs is needed, but a personal lap-top is needed.
To register :
(click on: "MATRICULA-t'hi")
If you want to ask more: g.tavecchia-at-uib.es
Thursday, 9 April 2026
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Mingozzi, T., Storino, P., Venuto, G., Massolo, A., Tavecchia, G., 2021. Climate warming induced a streth of the breeding season and an incr... -
Here is a short video by A. Rotger of the exhibition at the Natural History Museum in Soller "When data speak". The exhibition w...
