• Publications
  • Influence
SPECIES ASSEMBLAGES AND INDICATOR SPECIES:THE NEED FOR A FLEXIBLE ASYMMETRICAL APPROACH
This paper presents a new and simple method to find indicator species and species assemblages characterizing groups of sites. The novelty of our approach lies in the way we combine a species relativeExpand
  • 6,513
  • 761
  • PDF
Partialling out the spatial component of ecological variation
A method is proposed to partition the variation of species abundance data into independent components: pure spatial, pure environmental, spatial component of environmental influence, andExpand
  • 3,633
  • 316
Numerical Ecology with R
Numerical Ecology with R provides a long-awaited bridge between a textbook in Numerical Ecology and the implementation of this discipline in the R language. After short theoretical overviews, theExpand
  • 1,826
  • 263
  • PDF
Spatial Autocorrelation: Trouble or New Paradigm?
ilbstract. Autocorrelation is a very general statistical property of ecological variables observed across geographic space; its most common forms are patches and gradients. Spatial autocorrelation.Expand
  • 3,245
  • 220
A distance-based framework for measuring functional diversity from multiple traits.
A new framework for measuring functional diversity (FD) from multiple traits has recently been proposed. This framework was mostly limited to quantitative traits without missing values and toExpand
  • 1,736
  • 204
  • PDF
Developments in Numerical Ecology
From earlier ecological studies it has become apparent that simple univariate or bivariate statistics are often inappropriate, and that multivariate statistical analyses must be applied. DespiteExpand
  • 906
  • 147
Associations between species and groups of sites: indices and statistical inference.
Ecologists often face the task of studying the association between single species and one or several groups of sites representing habitat types, community types, or other categories. BesidesExpand
  • 1,486
  • 138
  • PDF
All-scale spatial analysis of ecological data by means of principal coordinates of neighbour matrices
Spatial heterogeneity of ecological structures originates either from the physical forcing of environmental variables or from community processes. In both cases, spatial structuring plays aExpand
  • 1,451
  • 129
  • PDF
Spatial modelling: a comprehensive framework for principal coordinate analysis of neighbour matrices (PCNM)
Spatial structures of ecological communities may originate either from the dependence of community structure on environmental variables or/and from community-based processes. In order to assess theExpand
  • 1,265
  • 123
  • PDF
Forward selection of explanatory variables.
This paper proposes a new way of using forward selection of explanatory variables in regression or canonical redundancy analysis. The classical forward selection method presents two problems: aExpand
  • 1,273
  • 113
  • PDF
...
1
2
3
4
5
...