Sahlean Tiberiu C, Gherghel Iulian, Papeş Monica, Strugariu Alexandru, Zamfirescu Ştefan R
Faculty of Biology, University of Bucharest, Bucharest, Romania; Department of Terrestrial Fauna, "Grigore Antipa" National Museum of Natural History, Bucharest, Romania.
Department of Zoology, Oklahoma State University, Stillwater, Oklahoma, United States of America.
PLoS One. 2014 Mar 26;9(3):e91994. doi: 10.1371/journal.pone.0091994. eCollection 2014.
Climate warming is one of the most important threats to biodiversity. Ectothermic organisms such as amphibians and reptiles are especially vulnerable as climatic conditions affect them directly. Ecological niche models (ENMs) are increasingly popular in ecological studies, but several drawbacks exist, including the limited ability to account for the dispersal potential of the species. In this study, we use ENMs to explore the impact of global climate change on the Caspian whip snake (Dolichophis caspius) as model for organisms with low dispersal abilities and to quantify dispersal to novel areas using GIS techniques. Models generated using Maxent 3.3.3 k and GARP for current distribution were projected on future climatic scenarios. A cost-distance analysis was run in ArcGIS 10 using geomorphological features, ecological conditions, and human footprint as "costs" to dispersal of the species to obtain a Maximum Dispersal Range (MDR) estimate. All models developed were statistically significant (P<0.05) and recovered the currently known distribution of D. caspius. Models projected on future climatic conditions using Maxent predicted a doubling of suitable climatic area, while GARP predicted a more conservative expansion. Both models agreed on an expansion of suitable area northwards, with minor decreases at the southern distribution limit. The MDR area calculated using the Maxent model represented a third of the total area of the projected model. The MDR based on GARP models recovered only about 20% of the total area of the projected model. Thus, incorporating measures of species' dispersal abilities greatly reduced estimated area of potential future distributions.
气候变暖是生物多样性面临的最重要威胁之一。两栖动物和爬行动物等变温生物尤其脆弱,因为气候条件会直接影响它们。生态位模型(ENMs)在生态研究中越来越受欢迎,但也存在一些缺点,包括考虑物种扩散潜力的能力有限。在本研究中,我们使用生态位模型来探索全球气候变化对里海鞭蛇(Dolichophis caspius)的影响,将其作为扩散能力低的生物的模型,并使用地理信息系统(GIS)技术量化向新区域的扩散。使用Maxent 3.3.3 k和GARP生成的当前分布模型被投影到未来气候情景中。在ArcGIS 10中进行了成本距离分析,使用地貌特征、生态条件和人类足迹作为物种扩散的“成本”,以获得最大扩散范围(MDR)估计值。所开发的所有模型均具有统计学意义(P<0.05),并恢复了里海鞭蛇目前已知的分布范围。使用Maxent预测的未来气候条件下的模型预测适宜气候面积将增加一倍,而GARP预测的扩张更为保守。两个模型都认为适宜区域将向北扩展,在南半部分布边界略有减少。使用Maxent模型计算的最大扩散范围区域占预测模型总面积的三分之一。基于GARP模型的最大扩散范围仅恢复了预测模型总面积的约20%。因此,纳入物种扩散能力的测量大大减少了潜在未来分布的估计面积。