2016
DOI: 10.1101/080655
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Assessing sampling sufficiency of network metrics using bootstrap

Abstract: Abstract:Sampling the full diversity of interactions in an ecological community is a highly intensive effort. Recent studies have demonstrated that many network metrics are sensitive to both sampling effort and network size. Here, we develop a statistical framework, based on bootstrap resampling, that aims to assess sampling sufficiency for some of the most widely used metrics in network ecology, namely connectance, nestedness (NODF-nested overlap and decreasing fill) and modularity (using the QuaBiMo algorith… Show more

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Cited by 1 publication
(1 citation statement)
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“…No-records were filled with zeroes (Bascompte et al, 2003;Falcão, Dáttilo, & Rico-Gray, 2016). Because we are faced with a simplified ecosystem, assessing the completeness of our network sampling became a critical first step required to precede analyses with a robust method to handle a small universe of interacting species (Casas, Bastazini, Debastiani, & Pillar, 2016;Chacoff et al, 2012;Hyde, Stewart, & Miller, 2014).…”
Section: Interaction Recordsmentioning
confidence: 99%
“…No-records were filled with zeroes (Bascompte et al, 2003;Falcão, Dáttilo, & Rico-Gray, 2016). Because we are faced with a simplified ecosystem, assessing the completeness of our network sampling became a critical first step required to precede analyses with a robust method to handle a small universe of interacting species (Casas, Bastazini, Debastiani, & Pillar, 2016;Chacoff et al, 2012;Hyde, Stewart, & Miller, 2014).…”
Section: Interaction Recordsmentioning
confidence: 99%