首页> 外文期刊>The Journal of Applied Ecology >Can we predict the number of plant species from the richness of a few common genera, families or orders?
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Can we predict the number of plant species from the richness of a few common genera, families or orders?

机译:我们可以预测植物物种的数量吗丰富的一些常见的属,或家庭订单吗?

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摘要

1. Halting biodiversity loss, a major environmental challenge, relies on the understanding of species richness patterns. The assessment of species richness is often hampered by limited taxonomic knowledge and the general dearth of trained systematists. Research has shown that we can predict the number of species in a community by the number of higher order taxonomic units present. Here, wfe test whether we need to know all the genera, families or orders in order to do so. Further, the number of common species in a region is a good predictor of total richness and we test if this predictability translates to using higher taxa. 2. Weused data from240 sites fromtheNatura 2000 network of protected areas inGreece, including 5148 plant species and subspecies, which are grouped in 1113 genera 174 families and 56 orders. We correlated species richness with the number of common genera, families or orders present.The analysis was repeated using the number of themost speciose higher orders instead of themost common. 3. We found that we do not need to know all higher order taxa present, in order to predict species richness. If we know how many out of the 30 most common orders are present, we can reliably predict the number of species. Similar results were obtained if we know how many of the 60 most common families or 200 most common genera are present. 4. Equally good results were obtained using the same numbers of the most speciose higher orders. 5. Synthesis and applications. Our analysis demonstrates that species richness can be predicted from the number of common or more speciose genera, families and orders present. These predictions hold without complete sampling of these higher taxa. The implication is that we need only limited systematic knowledge, resources and effort in order to predict species richness. Assuming these findings hold in other taxonomic groups and in other regions, we argue that the uncertainty introduced by limited knowledge of the systematics of less studied taxa should not be used as an excuse to avoid making conservation decisions.
机译:1. 环境挑战,依靠物种丰富度的理解模式。物种丰富度的评估往往是阻碍通过有限的分类知识和一般缺乏训练有素的分类学家。表明,我们可以预测物种的数量在一个社区的高阶分类单位。我们需要知道所有的属,或家庭订单来这样做。常见的物种在一个地区是一个很好的预测总丰富性和我们测试如果这种可预测性翻译使用较高的类群。from240 fromtheNatura 2000网络的网站保护区inGreece,其中包括5148厂种和亚种,在1113年被分组56属174个家庭和订单。物种丰富度与常见的数量属、科或订单。重复使用的数量最speciose吗更高的订单而不是最常见。发现我们都不需要知道更高订单分类单元,为了预测物种丰富。常见的订单,我们可以可靠地预测物种的数量。如果我们知道获得多少60最多常见的家庭或200最常见的属礼物。最speciose使用相同的数字更高的订单。分析表明,物种丰富度从常见的数量或更多预测speciose属、家庭和订单。这些预测将不完整的抽样这些更高的分类单元。只需要有限的系统知识,资源和精力为了预测物种丰富度。如果这些发现在其他分类组织和其他地区,我们认为引入不确定性的知识有限少的分类学研究类群不应该的作为借口来避免保护决策。

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