Indices, Graphs and Null Models: Analyzing Bipartite Ecological Networks

By Carsten F. Dormann, Jochen Fründ, N. Blüthgen, Bernd Gruber. 2009

1,674 citations recorded by the source corpus.

Subfields: Ecology, Evolution, Behavior and Systematics, Nature and Landscape Conservation, Plant Science

View Paper: https://www.semanticscholar.org/paper/35cfeb6ab3a4cf57b49196d0d68f476952d285be

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In Ecology, Evolution, Behavior and Systematics

In Nature and Landscape Conservation

In Plant Science

Citations in the corpus

The macroecology of phylogenetically structured hummingbird–plant networks (2015, methodology): “20 (Dormann et al., 2009).”
How to be a specialist? Quantifying specialisation in pollination networks (2011, neutral): “None of the above indices is able to capture such behaviour, nor are any of the many other indices proposed for ecological network analysis (e.g. Bersier et al., 2002, Dormann et al., 2009).”
The ‘night shift’: nocturnal pollen‐transport networks in a boreal pine forest (2011, background): “If abundance and the degree of generalisation are not correlated, this could affect definitions of network indices in which the use of resources are considered relative to their availability (Vázquez, 2005; Dormann et al., 2009).”
Complexity and stability of ecological networks: a review of the theory (2018, background): “Thus, quantitative counterparts of linkage density and connectance, called respectively weighted connectance and weighted linkage density, have been developed (Bersier et al. 2002; Tylianakis et al. 2007; Dormann et al. 2009).”
Global patterns of interaction specialization in bird–flower networks (2017, background): “This algorithm constrains network size (representing species richness) and the interaction matrix marginal totals (the sum of interaction frequencies of each bird and plant species, which may be a consequence of species abundance or sampling effort; Dormann et al., 2009).”
Influence of extrafloral nectary phenology on ant–plant mutualistic networks in a neotropical savanna (2013, methodology): “We calculated the specialisation indices using the bipartite package (Dormann et al., 2009) in r, version 2.”
A method for detecting modules in quantitative bipartite networks (2013, methodology): “The QuaBiMo-algorithm is implemented in C++ and is made available through the open source R-package bipartite (Dormann et al. , 2009).”
Evaluating the dependence of urban pollinators on ornamental, non-native, and ‘weedy’ floral resources (2018, background): “To determine level of specialization for pollinator morphotypes, and investigate how the loss of plant species would impact pollinators, we built a plant-pollinator network in the bipartite package of R version 3.1 (Dormann et al. 2009; R Development Core Team 2015).”
Macroecological trends in nestedness and modularity of seed-dispersal networks: human impact matters (2015, methodology): “We calculated the NODF values and null model analysis using ANINHADO (Guimarães & Guimarães, 2006) and the WNODF values with the Bipartite package in R (Dormann et al., 2009).”
Revealing secret liaisons: DNA barcoding changes our understanding of food webs (2010, methodology): “Quantitative food web structure Quantitative food webs were constructed using the Bipartite package of R (Dormann et al., 2008, 2009).”