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  • Good Attention Score compared to outputs of the same age (68th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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1 X user
patent
1 patent

Readers on

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126 Mendeley
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Article details
Title
Optimizing occupancy surveys by maximizing detection probability: application to amphibian monitoring in the Mediterranean region
Published in
Ecology and Evolution, August 2014
DOI 10.1002/ece3.1207
Pubmed ID
Authors

Maud Petitot, Nicolas Manceau, Philippe Geniez, Aurélien Besnard

Abstract

Setting up effective conservation strategies requires the precise determination of the targeted species' distribution area and, if possible, its local abundance. However, detection issues make these objectives complex for most vertebrates. The detection probability is usually <1 and is highly dependent on species phenology and other environmental variables. The aim of this study was to define an optimized survey protocol for the Mediterranean amphibian community, that is, to determine the most favorable periods and the most effective sampling techniques for detecting all species present on a site in a minimum number of field sessions and a minimum amount of prospecting effort. We visited 49 ponds located in the Languedoc region of southern France on four occasions between February and June 2011. Amphibians were detected using three methods: nighttime call count, nighttime visual encounter, and daytime netting. The detection nondetection data obtained was then modeled using site-occupancy models. The detection probability of amphibians sharply differed between species, the survey method used and the date of the survey. These three covariates also interacted. Thus, a minimum of three visits spread over the breeding season, using a combination of all three survey methods, is needed to reach a 95% detection level for all species in the Mediterranean region. Synthesis and applications: detection nondetection surveys combined to site occupancy modeling approach are powerful methods that can be used to estimate the detection probability and to determine the prospecting effort necessary to assert that a species is absent from a site.

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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 126 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 3 2%
Portugal 1 <1%
Spain 1 <1%
Belgium 1 <1%
Unknown 120 95%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 25 20%
Student > Master 23 18%
Student > Ph. D. Student 16 13%
Student > Bachelor 12 10%
Other 11 9%
Other 14 11%
Unknown 25 20%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 55 44%
Environmental Science 32 25%
Biochemistry, Genetics and Molecular Biology 4 3%
Mathematics 2 2%
Psychology 2 2%
Other 3 2%
Unknown 28 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 21 April 2016.
All research outputs
#7,959,659
of 25,373,627 outputs
Outputs from Ecology and Evolution
#4,217
of 8,476 outputs
Outputs of similar age
#73,957
of 247,842 outputs
Outputs of similar age from Ecology and Evolution
#36
of 75 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 8,476 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.0. This one is in the 49th percentile – i.e., 49% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 247,842 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
We're also able to compare this research output to 75 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.