Should phylogenetic and functional diversity metrics compose macroinvertebrate multimetric indices for stream biomonitoring?
Should phylogenetic and functional diversity metrics compose macroinvertebrate multimetric indices for stream biomonitoring?
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DOI：
10.1007/s10750-014-2102-3
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发表时间：
2015-02
期刊：
影响因子：
2.6
通讯作者：
V. Saito;T. Siqueira;A. A. Fonseca-Gessner-A.
中科院分区：
文献类型：
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作者：
V. Saito;T. Siqueira;A. A. Fonseca-Gessner-A.
多指标指数背后的想法是整合多个指标的信息，以提供水体的一般分类，同时又不丢失每个指标的特殊性。从历史上看，多指标指数使用有关丰富度、分类单元敏感性和分类多样性的信息。最近，功能和系统发育多样性被证明可以捕获生物多样性的不同维度。在这里，我们询问这些新指标是否为经典指标提供了补充信息，并且应该包含在多指标指数中。我们使用基于统计过滤器的索引构建协议来测试候选指标的范围、敏感性和冗余性。我们使用来自巴西稀树草原地区溪流的大型无脊椎动物数据（包含影响梯度）来测试我们的想法。在41个候选指标中，功能多样性的功能分散度、系统发育多样性的平均最近邻距离和四个经典指标通过了过滤器选择，构成了最终的多指标。我们的结果表明，功能和系统发育多样性指标确实对环境影响做出了反应，并补充了经典指标提供的信息。我们建议未来的指数应考虑纳入功能和系统发育多样性的新指标，以正确监测生物多样性的多个维度。
The idea behind multimetric indices is to integrate information from several metrics to provide a general classification of water bodies without losing the particularities of each individual metric. Historically, multimetric indices use information on richness, taxon sensitivity, and taxonomic diversity. Recently, functional and phylogenetic diversity proved to capture different dimensions of biodiversity. Here we asked if these new metrics provide complementary information to classical metrics and should be included in multimetric indices. We used an index construction protocol based on statistical filters to test candidate metrics for range, sensitivity, and redundancy. We used macroinvertebrate data from streams located in a Savanna region of Brazil, encompassing a gradient of impact, to test our ideas. Of 41 candidate metrics, functional dispersion of functional diversity, mean nearest neighbor distance of phylogenetic diversity, and four classical metrics passed the filter selection composing the final multimetric index. Our results indicated that functional and phylogenetic diversity metrics indeed responded to environmental impact and complemented the information provided by classical metrics. We suggest that future indices should consider including new metrics of functional and phylogenetic diversity to properly monitor multiple dimensions of biodiversity.