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Eric Marboutin
26Publications
12H-index
943Citations
Publications 26
Newest
#1Julie Louvrier (CNRS: Centre national de la recherche scientifique)H-Index: 1
#2Anja Molinari-Jobin (KORA Organics)H-Index: 8
Last.Rok Černe (USFS: United States Forest Service)
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#1Julie Louvrier (CNRS: Centre national de la recherche scientifique)H-Index: 1
#2Thierry Chambert (CNRS: Centre national de la recherche scientifique)H-Index: 12
Last.Olivier Gimenez (CNRS: Centre national de la recherche scientifique)H-Index: 39
view all 4 authors...
Abstract Occupancy models allow assessing species occurrence while accounting for imperfect detection. As with any statistical models, occupancy models rely on several assumptions amongst which (i) there should be no unmodelled heterogeneity in the detection probability and (ii) the species should not be detected when absent from a site, in other words there should be no false positives (e.g., due to misidentification). In the real world, these two assumptions are often violated. To date, models...
#1Anja Molinari-Jobin (KORA Organics)H-Index: 8
#2Marc Kéry (Swiss Ornithological Institute)H-Index: 35
Last.Florent Bled (MSU: Mississippi State University)H-Index: 6
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The Eurasian lynx is of special conservation concern based on the European Union's Habitat Directive and its populations need to be maintained or restored at favourable conservation status. To evaluate lynx population status, appropriate monitoring needs to be in place. We modelled the distribution dynamics of lynx in the Alps (200 000 km2) during 1994–2014 at a resolution of 100 km2. Lynx distribution and detection probability varied by year, country, forest cover, elevation and distance to the...
#1Julie Louvrier (University of Montpellier)H-Index: 1
#2Christophe DuchampH-Index: 7
Last.Olivier Gimenez (University of Montpellier)H-Index: 10
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While large carnivores are recovering in Europe, assessing their distributions can help to predict and mitigate conflicts with human activities. Because they are highly mobile, elusive and live at very low density, modeling their distributions presents several challenges due to i) their imperfect detectability, ii) their dynamic ranges over time and iii) their monitoring at large scales consisting mainly of opportunistic data without a formal measure of the sampling effort. Here, we focused on w...
#1Guillaume Chapron (SLU: Swedish University of Agricultural Sciences)H-Index: 24
#2Petra Kaczensky (University of Veterinary Medicine Vienna)H-Index: 23
Last.Ole AndersH-Index: 1
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The conservation of large carnivores is a formidable challenge for biodiversity conservation. Using a data set on the past and current status of brown bears ( Ursus arctos ), Eurasian lynx ( Lynx lynx ), gray wolves ( Canis lupus ), and wolverines ( Gulo gulo ) in European countries, we show 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. The reasons for this overall conservation succ...
#1Laetitia Blanc (University of Montpellier)H-Index: 1
#2Eric MarboutinH-Index: 12
Last.Olivier Gimenez (CNRS: Centre national de la recherche scientifique)H-Index: 39
view all 5 authors...
Summary 1. Abundance is a key quantity for conservation and management strategies but remains challenging to assess in the field. Capture–recapture (CR) methods are often used to estimate abundance while correcting for imperfect detection, but these methods are costly. Occupancy, sometimes considered as a surrogate for abundance, is estimated through the collection of presence/absence data and is less costly while allowing gathering of information at a large spatial scale. 2. Building on the rec...
#1Olivier Gimenez (CNRS: Centre national de la recherche scientifique)H-Index: 39
#2Laetitia Blanc (CNRS: Centre national de la recherche scientifique)H-Index: 4
Last.Rémi Choquet (CNRS: Centre national de la recherche scientifique)H-Index: 22
view all 7 authors...
Summary Occupancy – the proportion of area occupied by a species – is a key notion for addressing important questions in ecology, biogeography and conservation biology. Occupancy models allow estimating and inferring about species occurrence while accounting for false absences (or imperfect species detection). Occupancy models can be formulated as hidden Markov models (HMM) in which the state process captures the Markovian dynamic of the actual but latent states, while the observation process co...
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