C. Dormann

Publications251
h-index64
Citations27,181
Highly Influential Citations1,783
Claim Author Page
Author pages are created from data sourced from our academic publisher partnerships and public sources.

Recommended Authors

  • T. Tscharntke
  • 558 Publications • 69,348 Citations
  • W. Thuiller
  • 444 Publications • 65,697 Citations
  • I. Steffan‐Dewenter
  • 326 Publications • 45,177 Citations
  • A. Klein
  • 266 Publications • 31,505 Citations
  • Publications
  • Influence
Collinearity: a review of methods to deal with it and a simulation study evaluating their performance
TLDR
It was found that methods specifically designed for collinearity, such as latent variable methods and tree based models, did not outperform the traditional GLM and threshold-based pre-selection and the value of GLM in combination with penalised methods and thresholds when omitted variables are considered in the final interpretation.
View via Publisher
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…
View via Publisher
Indices, Graphs and Null Models: Analyzing Bipartite Ecological Networks
TLDR
A new, free software is introduced calculating a large spectrum of network indices, visualizing bipartite networks and generating null models, and enables ecologists to readily contrast their findings with null model expectations for many different questions, thus separating statistical inevitability from ecological process.
View via Publisher
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, focusing on webs consisting of only two trophic levels, e.g. pollination webs or predator-prey-webs.
Landscape moderation of biodiversity patterns and processes ‐ eight hypotheses
TLDR
This review uses knowledge gained from human‐modified landscapes to suggest eight hypotheses, which it hopes will encourage more systematic research on the role of landscape composition and configuration in determining the structure of ecological communities, ecosystem functioning and services.
View on Wiley
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…
View via Publisher
The role of biotic interactions in shaping distributions and realised assemblages of species: implications for species distribution modelling
TLDR
It is shown that biotic interactions have clearly left their mark on species distributions and realised assemblages of species across all spatial extents, and is called for for accelerated collection of spatially and temporally explicit species data.
View on Wiley
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…
View via Publisher
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…
View on Wiley
A method for detecting modules in quantitative bipartite networks
TLDR
The algorithm introduced here must be seen as a considerable improvement over the current standard of algorithms for binary networks due to its higher sensitivity and likely to lead to be useful for detecting modules in the typically noisy data of ecological networks.
View on Wiley
...
...