C. Dormann

Publications233
h-index60
Citations22,654
Highly Influential Citations1,636
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Collinearity: a review of methods to deal with it and a simulation study evaluating their performance
TLDR
We demonstrate the reach of the problem of collinearity in ecology, and show how relationships among predictors differ over spatial scales and through time. Expand
Methods to account for spatial autocorrelation in the analysis of species distributional data : a review
Species distributional or trait data based on range map (extent-of-occurrence) or atlas survey data often display spatial autocorrelation, i.e. locations close to each other exhibit more similar… Expand
Indices, Graphs and Null Models: Analyzing Bipartite Ecological Networks
TLDR
We introduce a new, free software calculating a large spectrum of network indices, visualizing bipartite networks and generating null models. Expand
Introducing the bipartite Package: Analysing Ecological Networks
TLDR
The new R-package bipartite, introduced here, provides functions to viualise webs and calculate a series of indices commonly used to describe pattern in ecological webs. Expand
Landscape moderation of biodiversity patterns and processes ‐ eight hypotheses
Understanding how landscape characteristics affect biodiversity patterns and ecological processes at local and landscape scales is critical for mitigating effects of global environmental change. In… Expand
A quantitative review of ecosystem service studies: approaches, shortcomings and the road ahead
Summary 1. Ecosystem services are defined as the benefits that humans obtain from ecosystems. Employing the ecosystem service concept is intended to support the development of policies and… Expand
The role of biotic interactions in shaping distributions and realised assemblages of species: implications for species distribution modelling
Predicting which species will occur together in the future, and where, remains one of the greatest challenges in ecology, and requires a sound understanding of how the abiotic and biotic environments… Expand
Effects of incorporating spatial autocorrelation into the analysis of species distribution data
Aim  Spatial autocorrelation (SAC) in data, i.e. the higher similarity of closer samples, is a common phenomenon in ecology. SAC is starting to be considered in the analysis of species distribution… Expand
Correlation and process in species distribution models: bridging a dichotomy
Within the field of species distribution modelling an apparent dichotomy exists between process-based and correlative approaches, where the processes are explicit in the former and implicit in the… Expand
A method for detecting modules in quantitative bipartite networks
TLDR
We introduce QuanBiMo, an algorithm to identify modules in quantitative bipartite (or two-mode) networks. Expand
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