Identifying compartments in presence–absence matrices and bipartite networks: insights into modularity measures

By Élisa Thébault. 2013

108 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/99c66d6467884c2a1cf460f7af465092df9baebe

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In Ecology

In Ecology, Evolution, Behavior and Systematics

In Nature and Landscape Conservation

Citations in the corpus

The pairwise approach to analysing species co‐occurrence (2014, background): “…& Olesen, 2009; Ara ujo et al., 2011; Fontaine et al., 2011; Carstensen et al., 2012) that test for non-random clusters of species among sites (i.e. modules and compartments; Th ebault, 2013) may be ideal for uncovering the cooccurrence patterns among multiple (more than two) species (Table 1).”
A method for detecting modules in quantitative bipartite networks (2013, methodology): “…uses only one-mode networks or, more precisely, one-mode projections of bipartite networks (Guimerà et al. , 2007; Martín González et al. , 2012; Thébault, 2013), while other approaches fo-52 cus on the identiﬁcation of crucial species through quantiﬁcations of their position in the network…”
Identifying Causes of Patterns in Ecological Networks: Opportunities and Limitations (2017, background): “…all ecological networks analyzed (e.g., Raffaelli & Hall 1992, Fonseca & Ganade 1996, Dicks et al. 2002, Krause et al. 2003, Allesina & Pascual 2009, Mello et al. 2011, Martı́n González et al. 2012, Dalsgaard et al. 2013, Thébault 2013, Schleuning et al. 2014, Sebastián-González et al. 2015).”
Generalist Species Have a Central Role In a Highly Diverse Plant–Frugivore Network (2016, background): “Because species vary in their ecological attributes and perform different roles in networks (Stouffer et al. 2012), centrality metrics are a useful tool for assessing the relative importance of each species at different levels of network organization, especially at the local scale of immediately…”
The multilayer nature of ecological networks (2015, methodology): “from the more general science of networks. For example, network diagnostics such as `centrality' measures of node and edge importance [59] and nestedness [60], algorithms for community detection [61,62] and associated null models for shuing bipartite networks (see, e.g., [63]), and algorithms t”
Structure–stability relationships in networks combining mutualistic and antagonistic interactions (2014, methodology): “Modularity Q is calculated using the formula developed for bipartite networks (Thébault 2013, Barber 2008).”
A comparison of network and clustering methods to detect biogeographical regions (2018, methodology): “Recently, network methods have been applied to detect bioregions as an alternative to clustering methods (Carstensen and Olesen 2009, Thébault 2013, Vilhena and Antonelli 2015).”
Historical climate‐change influences modularity and nestedness of pollination networks (2013, background): “…community persistence (Th é bault and Fontaine 2010), for instance, by decreasing functional redundancy of species and thereby increasing the likelihood of secondary extinctions (Tylianakis et al. 2010), while nestedness increases the resilience of the network (Th é bault and Fontaine 2010).”