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Eric Marboutin

Publications -  26
Citations -  2269

Eric Marboutin is an academic researcher. The author has contributed to research in topics: Population & Eurasian lynx. The author has an hindex of 14, co-authored 25 publications receiving 1844 citations.

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Recovery of large carnivores in Europe’s modern human-dominated landscapes

Guillaume Chapron, +79 more
- 19 Dec 2014 - 
TL;DR: It is shown that roughly one-third of mainland Europe hosts at least one large carnivore species, with stable or increasing abundance in most cases in 21st-century records, and coexistence alongside humans has become possible, argue the authors.

Status, management and distribution of large carnivores – bear, lynx, wolf & wolverine – in Europe

TL;DR: In this article, an expert based update of the conservation status of all populations identified by the Large Carnivore Initiative for Europe (LCIE), available in the document “Guidelines for Population Level Management Plans for Large carnivores” (Linnell et al. 2008) and/or in the various Species Online Information Systems (http://www.lcie.kora.ch/sp‐ois/ ; also see Appendix 1).
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Assessing habitat selection using multivariate statistics: Some refinements of the ecological-niche factor analysis

TL;DR: In this paper, the authors proposed some refinements of the ecological-niche factor analysis (ENFA) to describe precisely one organism's habitat selection, based on the concept of ecological niche, and provided a measure of the realised niche within the available space from the computation of two parameters, the marginality and the specialization.
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Importance of Accounting for Detection Heterogeneity When Estimating Abundance: the Case of French Wolves

TL;DR: This work developed multievent capture-recapture models for an open population and proposed an associated estimator of population size that both account for individual detection heterogeneity (IDH) and considered a two-class mixture model with weakly and highly detectable individuals to account for IDH.
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Complex decisions made simple: a primer on stochastic dynamic programming

TL;DR: This review explains the main concepts of stochastic dynamic programming and provides useful guidelines to implement this technique, including R code, using a wildlife management problem of the French wolf population.