CMR Workshop ended!

The 2022 Workshop on capture-mark-recapture and- recovery data applied to conservation of animal populations ended today! It has been an interesting and stimulating workshop. This year we had datasets on vultures, trouts, dolphins, sharks, gulls ... We always learn new systems, new challenges, new studies and more important new persons. 

Thanks to all for coming!

 

New Publication: Don't mess with encounter probabilities!

Tavecchia, G., Gimenez, O., Choqut, R., Oro, D., Tenan, S. and Sanz-Aguilar, A. 2021.The trap of hidden processes: Why ‘quick & dirty’ methods to estimate mortality are not always good. A comment to De Pascalis et al. (2020) Biological Conservation, 109057, doi: 10.1016/j.biocon.2021.109057

CMRR models can be difficult to build and many conservation biologists are tempted to shortcut them for simpler, ‘quick & dirty’, methods, trading difficulty with the lack of precision. In some particular cases, it is a winning trade, however, in most cases, it is a very hazardous practice. The proportion of animal seen alive vs those seen dead depends, by definition, on the detection probability, p, that an animal alive is detected and on the probability, λ, that a dead animal is found or retrieved (c) and the tag reported (r), with λ = c*r. Not taking thi into acocunt would lead to biased estimates. Explore scenarios through an R shiny application provided at https://github.com/oliviergimenez/bias_recovery.

The 2019 Introductory and Multievent CMR courses have ended!

The first joined Introductory and Multievent CMR courses ended today. A collaboration between the IMEDEA (CSIC-UIB, Spain) and the CEFE (CNRS, France). 
A nice occasion to learn about studies on whales, glossy ibis, mice, rabbits, great tits and other animals ; we have learned how to apply singlesite, multisite and multievent models to address ecological questions. 
Thanks to all participants and to the teachers. Next appointment : November 2020!

Upcoming Capture-Mark-Recapture courses!

WORKSHOPS ON CAPTURE-RECAPTURE ANALYSES 2019

2019 WORKSHOPS ON CAPTURE-RECAPTURE ANALYSES. MALLORCA, SPAIN

New this year!!!! Two CMR courses in a row:

Introductory course    (26-29 November, 20 places, 300 Є)

Multievent course    (2-4 December, 20 places, 300 Є).

Pick up your level or join both (500 Є)!!! 

INTRODUCTORY COURSE: 26-29 November 2019, Mallorca, Spain  (places: 20, price 300 Є)

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 lab exercises with programs MARK, U-CARE and R (optional). No previous knowledge of these programs is needed.  To register send a message specifying the course to: 

g.tavecchia-at-uib.es

Dead line for registration: 15 October 2019

More info here

MULTIEVENT COURSE: 2-4 December 2019, Mallorca, Spain (places: 20, price 300 Є)

This course aims to provide participants with a solid background in the theory and practices of capture-recapture analysis with a specific emphasis on multievent data and models. Multievent models are a natural generalization of the multisite models. Contrary to multisite models, the uncertainty in sate assessment such as breeder, diseased, causes of death or capture heterogenity can be incorporated into the analysis. They can be use to address fine questions on epidemiology, conservation and hiddenbiological processes. The format of the workshop will be a combination of lectures and computer lab exercises with the programs E-SURGE (or R2ESURGE) and U-CARE. No previous knowledge is needed although experience with CMR data and R-programming will be useful. To register send a message a message specifying the course to: 

remi.choquet-at-cefe.cnrs.fr

Dead line for registration: 15 October 2019

More info here