Güizado-Rodríguez Martha Anahí, Ballesteros-Barrera Claudia, Casas-Andreu Gustavo, Barradas-Miranda Victor Luis, Téllez-Valdés Oswaldo, Salgado-Ugarte Isaías Hazarmabeth
Departamento de Zoología, Instituto de Biología, Universidad Nacional Autónoma de México, Circuito Exterior s/n, AP 70-153, México DF 04510.
Zoolog Sci. 2012 Dec;29(12):834-43. doi: 10.2108/zsj.29.834.
The ectothermic nature of reptiles makes them especially sensitive to global warming. Although climate change and its implications are a frequent topic of detailed studies, most of these studies are carried out without making a distinction between populations. Here we present the first study of an Aspidoscelis species that evaluates the effects of global warming on its distribution using ecological niche modeling. The aims of our study were (1) to understand whether predicted warmer climatic conditions affect the geographic potential distribution of different climatic groups of Aspidoscelis costata costata and (2) to identify potential altitudinal changes of these groups under global warming. We used the maximum entropy species distribution model (MaxEnt) to project the potential distributions expected for the years 2020, 2050, and 2080 under a single simulated climatic scenario. Our analysis suggests that some climatic groups of Aspidoscelis costata costata will exhibit reductions and in others expansions in their distribution, with potential upward shifts toward higher elevation in response to climate warming. Different climatic groups were revealed in our analysis that subsequently showed heterogeneous responses to climatic change illustrating the complex nature of species geographic responses to environmental change and the importance of modeling climatic or geographic groups and/or populations instead of the entire species' range treated as a homogeneous entity.
爬行动物的变温特性使它们对全球变暖尤为敏感。尽管气候变化及其影响是详细研究中经常涉及的主题,但大多数此类研究在进行时并未区分不同种群。在此,我们首次对一种鞭尾蜥属物种进行研究,利用生态位建模评估全球变暖对其分布的影响。我们研究的目的是:(1)了解预测的气候变暖状况是否会影响科斯塔鞭尾蜥不同气候组的地理潜在分布;(2)确定这些组在全球变暖情况下潜在的海拔变化。我们使用最大熵物种分布模型(MaxEnt),在单一模拟气候情景下预测2020年、2050年和2080年的潜在分布。我们的分析表明,科斯塔鞭尾蜥的一些气候组分布将减少,而另一些则会扩张,并且可能会因气候变暖而向更高海拔地区上移。我们的分析揭示了不同的气候组,随后这些组对气候变化表现出不同的反应,这说明了物种地理对环境变化反应的复杂性,以及对气候或地理组和/或种群进行建模而非将整个物种范围视为一个同质实体的重要性。