Mobaied Samira, Machon Nathalie, Porcher Emmanuelle
Centre d׳Ecologie et des Sciences de la Conservation (CESCO, UMR7204), Sorbonne Universités, MNHN, CNRS, UPMC, CP51, 55 rue Buffon, 75005 Paris, France.
Data Brief. 2015 Mar 4;3:165-8. doi: 10.1016/j.dib.2015.02.015. eCollection 2015 Jun.
The biological diversity of the Earth is being rapidly depleted due to the direct and indirect consequences of human activities. Specialist or rare species are generally thought to be more extinction prone than generalist or common species. Testing this assumption however requires that the rarity and ecological specialization of the species are quantified. Many indices have been developed to classify species as generalists vs. specialists or as rare vs. common, but large data sets are needed to calculate these indices. Here, we present a list of specialization and rarity values for more than 2800 plant species of continental France, which were computed from the large botanical and ecological dataset SOPHY. Three specialization indices were calculated using species co-occurrence data. All three indices are based on (dis)similarity among plant communities containing a focal species, quantified either as beta diversity in an additive (Fridley et al., 2007 [6]) or multiplicative (Zeleny, 2008 [15]) partitioning of diversity or as the multiple site similarity of Baselga et al. (2007) [1]. Species rarity was calculated as the inverse of a species occurrence.
由于人类活动的直接和间接影响，地球的生物多样性正在迅速减少。一般认为，狭域分布或珍稀物种比广域分布或常见物种更容易灭绝。然而，要验证这一假设，需要对物种的珍稀程度和生态专一性进行量化。人们已经开发了许多指数来将物种分类为广适种与狭适种，或珍稀种与常见种，但计算这些指数需要大量数据集。在此，我们给出了法国大陆2800多种植物的专一性和珍稀性值列表，这些值是根据大型植物学和生态数据集SOPHY计算得出的。利用物种共现数据计算了三个专一性指数。所有这三个指数都是基于包含目标物种的植物群落之间的（不）相似性，这种相似性在多样性的加性（弗里德利等人，2007 [6]）或乘性（泽莱尼，2008 [15]）划分中被量化为β多样性，或者如巴塞尔加等人（2007）[1]的多位点相似性。物种珍稀性被计算为物种出现频率的倒数。
