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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

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.