The frequency of a species (proportion of samples in which the species is recorded) is a non linear function of its abundance, which is modified by the pattern of distribution of the individuals and by the surface of the area sampled. These parameters determine mine the probability of presence of a species. The probability of detection of an individual depends on species detectability and on the sampling duration. Several models are proposed to describe the influence of these parameters on the relationship between frequency and abundance, but it was not possible to deduce a general model that includes all these parameters. Thus sampling conditions have to be carefully chosen in order to control at least some of these parameters. The propos...
In this thesis, I suggest that only under special, simplified circumstances is the point-count meth...
Abstract Species richness is the most widely used biodiversity measure. Virtually always, it cannot ...
Ecologists commonly make strong parametric assumptions when formulating statistical models. Such as...
<div><p>We developed a statistical model to estimate the abundances of potentially interacting speci...
We developed a statistical model to estimate the abundances of potentially interacting species encou...
Occupancy as a surrogate for abundance estimation. — In many monitoring programmes it may be prohibi...
[Extract] Estimation of population abundance of rare and elusive species critically depends on the e...
<p>Relative abundance was estimated as the residuals from a model with abundance as the response var...
We develop a model that uses repeated observations of a biological community to estimate the number ...
Face au déclin global de la biodiversité, de nombreux suivis de populations animales et végétales so...
The number of individuals, or the abundance, of a species in an area is a fundamental ecological pa...
With the internet, a massive amount of information on species abundance can be collected under citi...
peer reviewedAim: Species distribution models have become important tools for studying changes in bi...
Indicator species concepts have a long history in conservation biology. Arguments in favor of these ...
The contributions of species to ecosystem functions or services depend not only on their presence bu...
In this thesis, I suggest that only under special, simplified circumstances is the point-count meth...
Abstract Species richness is the most widely used biodiversity measure. Virtually always, it cannot ...
Ecologists commonly make strong parametric assumptions when formulating statistical models. Such as...
<div><p>We developed a statistical model to estimate the abundances of potentially interacting speci...
We developed a statistical model to estimate the abundances of potentially interacting species encou...
Occupancy as a surrogate for abundance estimation. — In many monitoring programmes it may be prohibi...
[Extract] Estimation of population abundance of rare and elusive species critically depends on the e...
<p>Relative abundance was estimated as the residuals from a model with abundance as the response var...
We develop a model that uses repeated observations of a biological community to estimate the number ...
Face au déclin global de la biodiversité, de nombreux suivis de populations animales et végétales so...
The number of individuals, or the abundance, of a species in an area is a fundamental ecological pa...
With the internet, a massive amount of information on species abundance can be collected under citi...
peer reviewedAim: Species distribution models have become important tools for studying changes in bi...
Indicator species concepts have a long history in conservation biology. Arguments in favor of these ...
The contributions of species to ecosystem functions or services depend not only on their presence bu...
In this thesis, I suggest that only under special, simplified circumstances is the point-count meth...
Abstract Species richness is the most widely used biodiversity measure. Virtually always, it cannot ...
Ecologists commonly make strong parametric assumptions when formulating statistical models. Such as...