Improving indicator species analysis by combining groups of sites
Improving indicator species analysis by combining groups of sites
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DOI：
10.1111/j.1600-0706.2010.18334.x
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发表时间：
2010-10-01
期刊：
影响因子：
3.4
通讯作者：
Moretti, Marco
中科院分区：
文献类型：
--
作者：
De Caceres, Miquel;Legendre, Pierre;Moretti, Marco
指示种是作为群落或生境类型、环境条件或环境变化的生态指示物的物种。为了确定指示物种，要预测的特征是以地点分类的形式表示的，并与在地点发现的物种分布模式进行比较。指标物种分析应考虑到物种具有不同的生态位宽度：如果一个物种与两组或多组地点的普遍条件有关，则对各组地点进行的指标物种分析可能无法揭示这种关联。在本文中，我们建议改善指标物种分析，考虑所有可能的组合组的网站，并选择组合的物种可以最好地用作指示。当使用相关性指数时，例如点-双对数相关性，该方法产生的组合中，物种的观测和预期丰度/频率之间的差异最大。当使用指标值指数（IndVal）时，该方法提供了与观察到的物种分布模式最匹配的一组站点群。我们在三个不同的例子说明了该方法的优点。考虑组合的网站组提供了一个额外的灵活性，定性模型的栖息地偏好的物种的利益。该方法还允许用户跨越同一网站的多个分类，增加了分析产生的信息量。当应用于群落类型时，它允许人们区分那些表征个体类型的物种和那些表征它们之间关系的物种。这种区分有助于确定使指示物种数量最大化的类型数量。
Indicator species are species that are used as ecological indicators of community or habitat types, environmental conditions, or environmental changes. In order to determine indicator species, the characteristic to be predicted is represented in the form of a classification of the sites, which is compared to the patterns of distribution of the species found at the sites. Indicator species analysis should take into account the fact that species have different niche breadths: if a species is related to the conditions prevailing in two or more groups of sites, an indicator species analysis undertaken on individual groups of sites may fail to reveal this association. In this paper, we suggest improving indicator species analysis by considering all possible combinations of groups of sites and selecting the combination for which the species can be best used as indicator. When using a correlation index, such as the point-biserial correlation, the method yields the combination where the difference between the observed and expected abundance/frequency of the species is the largest. When an indicator value index (IndVal) is used, the method provides the set of site-groups that best matches the observed distribution pattern of the species. We illustrate the advantages of the method in three different examples. Consideration of combinations of groups of sites provides an extra flexibility to qualitatively model the habitat preferences of the species of interest. The method also allows users to cross multiple classifications of the same sites, increasing the amount of information resulting from the analysis. When applied to community types, it allows one to distinguish those species that characterize individual types from those that characterize the relationships between them. This distinction is useful to determine the number of types that maximizes the number of indicator species.