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揭示气候对同域分布蝾螈分布的影响。 (注:原文最后“and.”表述不完整,推测可能是文档截取问题,这里按照正常语义补充完整翻译)

Unraveling climate influences on the distribution of the parapatric newts and .

作者信息

Iannella Mattia, Cerasoli Francesco, Biondi Maurizio

机构信息

Department of Life, Health & Environmental Sciences, University of L'Aquila, Via Vetoio snc Coppito, 67100 L'Aquila, Italy.

出版信息

Front Zool. 2017 Dec 12;14:55. doi: 10.1186/s12983-017-0239-4. eCollection 2017.

Abstract

BACKGROUND

Climate is often considered as a key ecological factor limiting the capability of expansion of most species and the extent of suitable habitats. In this contribution, we implement Species Distribution Models (SDMs) to study two parapatric amphibians, and , investigating if and how climate has influenced their present and past (Last Glacial Maximum and Holocene) distributions. A database of 901 GPS presence records was generated for the two newts. SDMs were built through Boosted Regression Trees and Maxent, using the Worldclim bioclimatic variables as predictors.

RESULTS

Precipitation-linked variables and the temperature annual range strongly influence the current occurrence patterns of the two species analyzed. The two newts show opposite responses to the most contributing variables, such as BIO7 (temperature annual range), BIO12 (annual precipitation), BIO17 (precipitation of the driest quarter) and BIO19 (precipitation of the coldest quarter). The hypothesis of climate influencing the distributions of these species is also supported by the fact that the co-occurrences within the sympatric area fall in localities characterized by intermediate values of these predictors. Projections to the Last Glacial Maximum and Holocene scenarios provided a coherent representation of climate influences on the past distributions of the target species. Computation of pairwise variables interactions and the discriminant analysis allowed a deeper interpretation of SDMs' outputs. Further, we propose a multivariate environmental dissimilarity index (MEDI), derived through a transformation of the multivariate environmental similarity surface (MESS), to deal with extrapolation-linked uncertainties in model projections to past climate. Finally, the niche equivalency and niche similarity tests confirmed the link between SDMs outputs and actual differences in the ecological niches of the two species.

CONCLUSIONS

The different responses of the two species to climatic factors have significantly contributed to shape their current distribution, through contractions, expansions and shifts over time, allowing to maintain two wide allopatric areas with an area of sympatry in Central Italy. Moreover, our SDMs hindcasting shows many concordances with previous phylogeographic studies carried out on the same species, thus corroborating the scenarios of potential distribution during the Last Glacial Maximum and the Holocene emerging from the models obtained.

摘要

背景

气候通常被视为限制大多数物种扩张能力和适宜栖息地范围的关键生态因素。在本研究中,我们运用物种分布模型(SDMs)来研究两种邻域分布的两栖动物,调查气候是否以及如何影响它们当前和过去(末次盛冰期和全新世)的分布。为这两种蝾螈建立了一个包含901个GPS出现记录的数据库。利用Worldclim生物气候变量作为预测因子,通过增强回归树和最大熵模型构建物种分布模型。

结果

与降水相关的变量和年温度范围强烈影响所分析的两种蝾螈的当前出现模式。这两种蝾螈对最主要的变量表现出相反的响应,如BIO7(年温度范围)、BIO12(年降水量)、BIO17(最干燥季度降水量)和BIO19(最寒冷季度降水量)。气候影响这些物种分布的假设还得到以下事实的支持:同域分布区域内的共存情况出现在这些预测因子具有中间值的地点。对末次盛冰期和全新世情景的预测提供了气候对目标物种过去分布影响的连贯呈现。成对变量相互作用的计算和判别分析使我们能够更深入地解释物种分布模型的输出结果。此外,我们提出了一种多变量环境差异指数(MEDI),它是通过对多变量环境相似性表面(MESS)进行变换得到的,用于处理模型对过去气候预测中与外推相关的不确定性。最后,生态位等效性和生态位相似性检验证实了物种分布模型输出结果与这两个物种生态位实际差异之间的联系。

结论

这两个物种对气候因素的不同响应通过长期的收缩、扩张和迁移,显著地塑造了它们当前的分布,使得在意大利中部维持了两个广阔的异域分布区域以及一个同域分布区域。此外,我们的物种分布模型回溯分析显示与之前对同一物种进行的系统地理学研究有许多一致性,从而证实了从所获得的模型中得出的末次盛冰期和全新世期间潜在分布情景。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d03/5727953/62196be16d1f/12983_2017_239_Fig1_HTML.jpg

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