Department of Environmental Sciences, University of South Africa, Florida campus Florida, 1710, South Africa.
African Centre for DNA Barcoding, University of Johannesburg, APK Campus Auckland Park, 2006, South Africa ; Department of Biological Sciences, Bindura University of Science Education Bindura, Private Bag, 1020, Zimbabwe.
Ecol Evol. 2014 Jun;4(11):2115-23. doi: 10.1002/ece3.1031. Epub 2014 Apr 30.
Attempts to investigate the drivers of invasion success are generally limited to the biological and evolutionary traits distinguishing native from introduced species. Although alien species introduced to the same recipient environment differ in their invasion intensity - for example, some are "strong invaders"; others are "weak invaders" - the factors underlying the variation in invasion success within alien communities are little explored. In this study, we ask what drives the variation in invasion success of alien mammals in South Africa. First, we tested for taxonomic and phylogenetic signal in invasion intensity. Second, we reconstructed predictive models of the variation in invasion intensity among alien mammals using the generalized linear mixed-effects models. We found that the family Bovidae and the order Artiodactyla contained more "strong invaders" than expected by chance, and that such taxonomic signal did not translate into phylogenetic selectivity. In addition, our study indicates that latitude, gestation length, social group size, and human population density are only marginal determinant of the variation in invasion success. However, we found that evolutionary distinctiveness - a parameter characterising the uniqueness of each alien species - is the most important predictive variable. Our results indicate that the invasive behavior of alien mammals may have been "fingerprinted" in their evolutionary past, and that evolutionary history might capture beyond ecological, biological and life-history traits usually prioritized in predictive modeling of invasion success. These findings have applicability to the management of alien mammals in South Africa.
尝试研究入侵成功的驱动因素通常仅限于区分本地和引入物种的生物和进化特征。尽管引入到同一受纳环境中的外来物种在入侵强度上存在差异 - 例如,有些是“强入侵物种”,有些是“弱入侵物种” - 但外来物种群落中入侵成功变异的背后因素却很少被探索。在这项研究中,我们探讨了是什么驱动了南非外来哺乳动物入侵成功的变化。首先,我们测试了入侵强度的分类和系统发育信号。其次,我们使用广义线性混合效应模型为外来哺乳动物的入侵强度变化构建了预测模型。我们发现牛科和偶蹄目包含了比预期更多的“强入侵物种”,而且这种分类学信号并没有转化为系统发育选择。此外,我们的研究表明,纬度、妊娠期、社会群体规模和人口密度只是决定入侵成功变化的边缘因素。然而,我们发现进化独特性 - 一个描述每个外来物种独特性的参数 - 是最重要的预测变量。我们的研究结果表明,外来哺乳动物的入侵行为可能在其进化历史中留下了“指纹”,而进化历史可能会捕捉到通常在入侵成功预测模型中优先考虑的生态、生物和生活史特征之外的因素。这些发现适用于南非外来哺乳动物的管理。