Input data for the analysis of changes in functional structures of Japanese tree species by species loss simulation

<p>The dataset was used in Kusumoto, Shiono &amp; Kubota (2020).&nbsp;It includes functional structure indices (community means, functional richness, and Rao&#39;s quadratic entropy) for 514 Japanese timber and non-timber tree species&nbsp;at 10-km grid cell level. The community means were based on specific leaf area and leaf nitrogen content, respectively. Functional richness and Rao&#39;s Q were based on wood density and tree height. There functional metrics were calculated for the observed species assemblages and simulated assemblages&nbsp;at 10-km grid cell level. The simulated assemblages were computed&nbsp;by removing species in each grid cell at 5 levels of species loss (10%, 20%, 30%, 40% and 50%) with two scenarios: random loss and ordered loss depending on species successional niche score (i.e. later successinal species are preferentially lost). See &quot;README&quot; sheet for detailed explanations of the contents.</p> <p>Kusumoto, Shiono &amp; Kubota (2020)&nbsp;&nbsp;Ethnobotany-informed trait ecology: measuring vulnerability of timber provisioning services across forest biomes in Japan.&nbsp;Biodiversity and Conservation.&nbsp;DOI: 10.1007/s10531-020-01974-y</p>