Identifying traits that enable lizard adaptation to different habitats
Identifying traits that enable lizard adaptation to different habitats
复制标题
识别使蜥蜴适应不同栖息地的特征
DOI：
10.1111/jbi.14285
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发表时间：
2021
影响因子：
3.9
通讯作者：
Carstens, Bryan C.
中科院分区：
文献类型：
--
作者：
Lanna, Flavia M.;Colli, Guarino R.;Burbrink, Frank T.;Carstens, Bryan C.
物种对不同环境的适应不同，例如植被稀疏的开放栖息地和森林覆盖茂密的森林栖息地。我们调查了在开阔地和森林环境中的殖民模式，在开阔地和周围雨林的对角线上（即亚马逊河和大西洋森林）在巴西，测试了多样化率是否受到环境条件的影响，并确定了使物种在这些环境中持续存在的特征。方法我们使用系统发育信息和物种在开放和森林栖息地的当前分布，以估计祖先的范围，并确定相对于当前栖息地的范围变化。为了评估这些环境是否影响物种多样性，我们使用隐藏地理状态物种形成和灭绝分析测试了12个模型。最后，我们结合系统发育相关性和物种特征的机器学习框架，以确定允许适应这些对比environment.ResultsWe确定了41开放和森林栖息地之间的总转换，其中80%是从森林栖息地到开放的栖息地的特征。广泛分布的物种有较高的物种形成，营业额，灭绝，灭绝分数比在森林或开放的栖息地物种，但也有较低的净多样化率。平均体温、微栖息地、雌性口鼻长度和饮食被确定为能够适应不同环境的推定特征，系统发育相关性是物种发生的重要预测因素。主要结论从森林到开放栖息地的转变是最常见的，强调了栖息地转变的重要性在当前生物多样性模式中。祖先分布的系统发育重建和机器学习框架的结合使我们能够以一种可以在全球范围内应用的方式整合生物性状数据、环境数据和进化历史。
AimSpecies adapt differently to contrasting environments, such as open habitats with sparse vegetation and forested habitats with dense forest cover. We investigated colonization patterns in the open and forested environments in the diagonal of open formations and surrounding rain forests (i.e. Amazonia and Atlantic Forest) in Brazil, tested whether the diversification rates were affected by the environmental conditions and identified traits that enabled species to persist in those environments.LocationSouth America, Brazil.TaxonSquamata, Lizards.MethodsWe used phylogenetic information and the current distribution of species in open and forested habitats to estimate ancestral ranges and identify range shifts relative to the current habitats. To evaluate whether these environments influenced species diversification, we tested 12 models using a Hidden Geographic State Speciation and Extinction analysis. Finally, we combined phylogenetic relatedness and species traits in a machine learning framework to identify the traits permitting adaptation in those contrasting environments.ResultsWe identified 41 total transitions between open and forested habitats, of which 80% were from the forested habitats to the open habitats. Widely distributed species had higher speciation, turnover, extinction, and extinction fraction rates than species in forested or open habitats, but had also the lower net diversification rate. Mean body temperature, microhabitat, female snout–vent length and diet were identified as putative traits that enabled adaptation to different environments, and phylogenetic relatedness was an important predictor of species occurrence.Main conclusionsTransitions from forested to open habitats are most common, highlighting the importance of habitat shift in current patterns of biodiversity. The combination of phylogenetic reconstruction of ancestral distributions and the machine learning framework enables us to integrate organismal trait data, environmental data and evolutionary history in a manner that could be applied on a global scale.
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影响因子：
3.9
作者：
Alexander Zizka;Jefferson Carvalho;R. T. Pennington;Luciano P. Queiroz;S. Alcantara;David A. Baum;C. Bacon;A. Antonelli
通讯作者：
A. Antonelli
影响因子：
5.9
作者：
Tonini, Joao Filipe Riva;Beard, Karen H.;Pyron, R. Alexander
通讯作者：
Pyron, R. Alexander
DOI：
--
发表时间：
--
期刊：
影响因子：
--
作者：
P. Sclater
通讯作者：
P. Sclater
影响因子：
64.5
作者：
Dixon, MS;Jones, DA;Jones, JDG
通讯作者：
Jones, JDG
影响因子：
6.4
作者：
Costa, Gabriel C.;Hampe, Arndt;Carnaval, Ana Carolina
通讯作者：
Carnaval, Ana Carolina