V
Vincent Bretagnolle
Researcher at University of La Rochelle
Publications - 360
Citations - 13561
Vincent Bretagnolle is an academic researcher from University of La Rochelle. The author has contributed to research in topics: Population & Agriculture. The author has an hindex of 53, co-authored 331 publications receiving 10837 citations. Previous affiliations of Vincent Bretagnolle include University of Puerto Rico & University of Aberdeen.
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A comparison of live versus kill pitfall traps to assess the diet of carabids through a metabarcoding approach
TL;DR: In this article , two types of pitfall traps, dry vs. with brine, were compared for the conservation of prey DNA contained in the digestive tract of predators and subsequent metabarcoding analyses.
Journal ArticleDOI
Status of Gould’s Petrel Pterodroma leucoptera caledonica in New Caledonia: distribution, breeding biology, threats and conservation
Vincent Bretagnolle,Ludovic Renaudet,Pascal Villard,Hadoram Shirihai,Nicholas Carlile,David Priddel +5 more
TL;DR: If, as expected, the level of predation observed at one colony extends across all breeding colonies, population decline is inevitable and extinction likely in the long term, the global status of Gould’s Petrel Pterodroma leucoptera is upgraded from Vulnerable to Endangered.
Journal ArticleDOI
Système d’information spatiotemporel pour l’intégration et l’exploitation de données environnementales
TL;DR: Cet article presente une solution open-source pour l’acquisition etl’exploitation de donnees environnementales heterogenes collectees sur la zone atelier Plaine and Val de Sevre.
Estimatinginter-groupinteractionradiusforpointprocesseswith nestedspatialstructures
TL;DR: In this paper, a statistical procedure is proposed to estimate the interaction radius between points of a non-stationary point process when the process can present local aggregated and regular patterns.
Book ChapterDOI
Model on a population and prediction on another one: a generalized discriminant rule
TL;DR: In this paper, the discriminant analysis in a decision purpose proceeds in the following manner (McLachlan 1992): a sample is drawn from a population and a partition of this sample in two classes, males and females, is known.