塔纳湖(埃塞俄比亚)的“Barbus”中间物种群I -形态多样性的生态和进化意义

IF 7.5 1区 地球科学 Q1 Earth and Planetary Sciences
L. Nagelkerke, F. Sibbing
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引用次数: 13

摘要

塔纳湖(埃塞俄比亚北部)鱼类学以“大型”倒钩鱼为主(Barbus spp.,鲤科)。最近,已经描述了14种Bar - bus变体。这篇论文提供了证据,证明这些变种确实是生物物种。摘要为了验证与取食相关的形态特征的破坏性选择是物种形成的进化驱动力这一假说,本文采用生态形态学分析方法,对几种水生食物的形态与取食能力之间的定量关系进行了研究。该分析准确预测了塔纳湖倒钩潜在的营养生态位,支持了破坏性选择假说。最后,提出了一种假设的进化情景,在这种进化情景中,破坏性选择导致了最初的形态分化,空间和时间的产卵隔离稳定了形态之间的遗传差异,从而导致了物种的形成。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The 'Barbus' intermedius species flock of Lake Tana (Ethiopia) I - The ecological and evolutionary significance of morphological diversity
Abstract The Lake Tana (northern Ethiopia) ichthyofauna is dominated by ‘large’ barbs (Barbus spp., Cyprinidae). Recently, fourteen Bar‐bus morphs have been described. This paper provides evidence that these morphs are indeed biological species. To investigate the hypothesis that disruptive selection on feeding‐related morphological characters was the evolutionary driving force of speci‐ation, an ecomorphological analysis, investigating the quantitative relationships between morphology and feeding abilities on a number of aquatic food types was investigated. The analysis accurately predicted the potential trophic niches of the Lake Tana barbs and supported the disruptive selection hypothesis. Finally, a hypothetical evolutionary scenario is presented in which disruptive selection led to initial morphological differentiation, and spatial and temporal spawning segregation stabilized the genetic differences among the morphs, resulting in speciation.
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来源期刊
CiteScore
10.20
自引率
8.00%
发文量
49
审稿时长
7.2 months
期刊介绍: The International Journal of Applied Earth Observation and Geoinformation publishes original papers that utilize earth observation data for natural resource and environmental inventory and management. These data primarily originate from remote sensing platforms, including satellites and aircraft, supplemented by surface and subsurface measurements. Addressing natural resources such as forests, agricultural land, soils, and water, as well as environmental concerns like biodiversity, land degradation, and hazards, the journal explores conceptual and data-driven approaches. It covers geoinformation themes like capturing, databasing, visualization, interpretation, data quality, and spatial uncertainty.
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