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Revealing patterns of local species richness along environmental gradients with a novel network tool

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Academic year: 2020

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Table 1.  Explanation of the different variables (“reflections”) obtained with the method of reflections,  including node type used, reflection symbol, parity, order and name.
Figure 2.  The method of reflections illustrated with synthetic, stochastic datasets. We use two datasets  where the species distribution, respectively: (a,c) follows the precipitation gradient (dataset D1); (b,d) does  not include any trend with precipita
Figure 3.  Species richness and fitted models at different scales in the SFI. Species richness (dots) as a  function of annual precipitation (left) and mean annual temperature (right), computed from the SFI data  at different spatial scales, i.e

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