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Guerra E, Simoes N, Cruz-Motta JJ, Mascaró M.2018. An alternative protocol to estimate sample size at different spatial scales in studies of ecological communitie. PeerJ Preprints6:e26823v1https://doi.org/10.7287/peerj.preprints.26823v1
Deciding sample-size is a key step in any study based on statistical inference. Recently, a pioneer methodology applicable in the multivariate context was proposed by Anderson & Santana-Garcon (2015, DOI: 10.1111/ele.12385). This method is based on estimating the dissimilarity-based multivariate standard error (MultSE) of different sample efforts by double resampling the original data. However, this method has two limitations: (1) it is not possible to observe the behavior of MultSE beyond the original effort; and (2) the estimates are no longer independent when the same sampling units are used. We put forward an alternative method that overcomes both. The procedure consists in simulate a data matrix that contains the ecological properties of the community. Then, sampling is repeatedly executed, so that the following is achieved: (1) estimation of independent MultSE for greater efforts than the original; and (2) estimation of sample-size at different scales. These advantages were evaluated using four study cases.
This is an abstract which has been accepted for the World Conference on Marine Biodiversity (WCMB 2018)