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

The dataset was used in Kusumoto, Shiono & Kubota (2020). It includes functional structure indices (community means, functional richness, and Rao's quadratic entropy) for 514 Japanese timber and non-timber tree species at 10-km grid cell level. The community means were based on specific leaf area and leaf nitrogen content, respectively. Functional richness and Rao's Q were based on wood density and tree height. There functional metrics were calculated for the observed species assemblages and simulated assemblages at 10-km grid cell level. The simulated assemblages were computed 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 "README" sheet for detailed explanations of the contents. Kusumoto, Shiono & Kubota (2020) Ethnobotany-informed trait ecology: measuring vulnerability of timber provisioning services across forest biomes in Japan. Biodiversity and Conservation. DOI: 10.1007/s10531-020-01974-y本数据集已应用于Kusumoto、Shiono与Kubota（2020）的研究工作。数据集涵盖514种日本用材树种及非用材树种在10公里栅格单元尺度下的功能结构指数，具体包含群落均值、功能丰富度（functional richness）与Rao二次熵（Rao's quadratic entropy）。其中，群落均值分别以比叶面积（specific leaf area）和叶片氮含量为计算基准；功能丰富度与Rao二次熵则以木材密度和树高为依据开展计算。上述功能指标均针对10公里栅格单元尺度下的实际物种组合与模拟物种组合进行测算。模拟物种组合的生成方式为：针对每个栅格单元，按照5个物种丧失梯度（10%、20%、30%、40%与50%）移除物种，共设置两类移除场景：随机移除，以及依据物种演替生态位得分的有序移除（即优先丧失演替后期物种）。有关数据集内容的详细说明，请参阅"README"工作表。本数据集对应的原始研究为Kusumoto、Shiono与Kubota（2020）发表于《生物多样性与保护》（Biodiversity and Conservation）的论文《基于民族植物学的功能性状生态学：评估日本森林生物群系用材供给服务的脆弱性》，DOI: 10.1007/s10531-020-01974-y