揭示地方性丰富性的假设:西南阿尔卑斯山的研究案例

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Maria Guerrina , Davide Dagnino , Luigi Minuto , Frédéric Médail , Gabriele Casazza
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引用次数: 0

摘要

分布范围受限物种集中的地区对保护具有重要意义。然而,大多数研究的目的是为保护规划确定特有物种丰富的地区,而很少有研究旨在了解特有物种丰富性的因果因素。在这里,我们的目标是通过检验四种非相互排斥的假说,来确定西南欧洲阿尔卑斯山这一特有物种中心内特有物种丰富性的决定因素,这些假说已被提出来解释特有物种丰富性的模式。我们特别研究了时空气候稳定性和环境异质性在多大程度上与特有物种丰富性相关。几乎所有的假说都部分支持了在西南阿尔卑斯地区观察到的植物特有物种丰富度模式。一般来说,环境变量与特有物种丰富度之间的大多数关系都具有统计学意义。然而,气候变化速度和坡度标准偏差这两个影响物种扩散可能性的因素对解释特有物种丰富度的影响最大。这与特有物种受到扩散而不仅仅是气候的强烈限制这一观点是一致的。我们的研究结果表明,在过去气候变化影响较小的地区,物种扩散与地区和特定历史因素的相互作用导致了地方性物种的丰富性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Unveiling the hypotheses of endemic richness: A study case in the Southwestern Alps

Areas where range-restricted species are concentrated are of importance for conservation. However, most of the studies aim at identifying areas rich in endemics for conservation planning, while few studies aim at understanding the causal factors of endemic richness. Here, our goal is to identify the determinants of endemic richness within a centre of endemism, the Southwestern European Alps, by testing four non-mutually exclusive hypotheses that have been proposed to explain patterns of endemic richness. In particular, we examined to what extent temporal and spatial climatic stability and environmental heterogeneity are related to endemic richness. Almost all hypotheses partially support the observed patterns of plant endemics richness within the SW Alps. In general, most of the relationships between environmental variables and endemic richness are statistically significant. However, the highest effect in explaining endemic richness is found for climate change velocity and standard deviation of slope, two factors affecting the possibility of species to disperse. This is in line with the idea that endemics are strongly limited by dispersal and not only by climate. Our results suggest that in regions where the effects of past climate changes were less dramatic endemic richness results from the interaction of species dispersal with regional and specific historical factors.

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CiteScore
7.20
自引率
4.30%
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