Large-scale decline of bats and bush-crickets revealed thanks to automatic acoustic monitoring scheme.
Yves Bas  1, *@  , Christian Kerbiriou  2@  , Alienor Jeliazkov  1, 3@  , Isabelle Le Viol  1@  , Jean-Francois Julien  2@  
1 : Centre d'écologie et de sciences de la conservation  (CESCO)  -  Website
CNRS : UMR7204, Université Pierre et Marie Curie (UPMC) - Paris VI, Muséum National d'Histoire Naturelle (MNHN)
55 rue Buffon 75005 PARIS -  France
2 : Centre d'écologie et de sciences de la conservation  (CESCO)  -  Website
Muséum National d'Histoire Naturelle (MNHN)
55 rue Buffon 75005 PARIS -  France
3 : Laboratoire dynamiques sociales et recomposition des espaces  (LADYSS)  -  Website
Université Paris X - Paris Ouest Nanterre La Défense, Université Paris VIII - Vincennes Saint-Denis, CNRS : UMR7533, Université Paris VII - Paris Diderot, Université Paris I - Panthéon-Sorbonne
Université Paris 1 Panthéon-Sorbonne, 2 rue Valette, 75005, Paris, France -  France
* : Corresponding author

Vigie-Chiro, an acoustic monitoring program based on both car transects and point counts carried out by volunteers, was launched in France in 2006. Standardized data gathered on 3560­km car transects and 1270 point counts revealed a negative trend for three common bat species whose decline was previously unsuspected: Common Pipistrelle, Leisler's Bat and Serotine Bat. Useful data were also serendipitously collected on several species of bush­crickets (Orthoptera Tettigonioidea) thanks to their nocturnal ultrasonic songs. Using an automatic identification process on the recordings, these data also revealed unexpected decline for two common species of bush­crickets: Great Green Bush-Cricket (Tettigonia viridissima) and Large Conehead (Ruspolia nitidula). During this same period, new technologies appeared that multiplied sampling efficiency, especially for elusive species of both groups. This led us to propose in 2014 a third protocol taking advantage of these long duration continuous recordings. Using available data to simulate long-term data, we compared the three different types of acoustic data collection (car transect, short point counts, and full­night point recordings), and their statistical power to detect alarming species trends (­30 % over 10 years). Results showed that car transects were optimal for monitoring most bush­cricket species, and some of the most mobile and large bat species, while full­night recordings would provide a better monitoring for most bat species, especially those which have a high activity rate along the night. The protocols therefore showed a very good complementarity and keeping up them should help avoiding any representativeness bias.


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