Journal
ENVIRONMENTAL AND ECOLOGICAL STATISTICS
Volume 25, Issue 1, Pages 71-93Publisher
SPRINGER
DOI: 10.1007/s10651-018-0398-2
Keywords
Citizen science; Estimation of species relative abundances; Habitat selection; Opportunistic data; Resource selection function
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Funding
- Investissement d'avenir project [ANR-11-LABX-0056-LMH]
- LabEx LMH
- Fondation Mathematiques Jacques Hadamard [ANR-10-CAMP-0151-02]
- Chair Modelisation Mathematique et Biodiversite of VEOLIA- Ecole Polytechnique-MNHN-F.X
- Mission for Interdisciplinarity at CNRS
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We develop a new statistical procedure to monitor relative species abundances and their respective preferences for different habitat types, using opportunistic data. Following Giraud et al. (Biometrics 72(2):649-658, 2015), we combine the opportunistic data with some standardized data in order to correct the bias inherent to the opportunistic data collection. Species observations are modeled by Poisson distributions whose parameters quantify species abundances and habitat preferences, and are estimated using Bayesian computations. Our main contributions are (i) to tackle the bias induced by habitat selection behaviors, (ii) to handle data where the habitat type associated to each observation is unknown, (iii) to estimate probabilities of selection of habitat for the species. As an illustration, we estimate common bird species habitat preferences and abundances in the region of Aquitaine (France).
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