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Combining genetic and demographic data for prioritizing conservation actions: insights from a threatened fish species

机译:结合遗传和人口数据优先考虑保护行动:受威胁鱼类的见解

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AbstractPrioritizing and making efficient conservation plans for threatened populations requires information at both evolutionary and ecological timescales. Nevertheless, few studies integrate multidisciplinary approaches, mainly because of the difficulty for conservationists to assess simultaneously the evolutionary and ecological status of populations. Here, we sought to demonstrate how combining genetic and demographic analyses allows prioritizing and initiating conservation plans. To do so, we combined snapshot microsatellite data and a 30-year-long demographic survey on a threatened freshwater fish species (Parachondrostoma toxostoma) at the river basin scale. Our results revealed low levels of genetic diversity and weak effective population sizes (63 individuals) in all populations. We further detected severe bottlenecks dating back to the last centuries (200–800 years ago), which may explain the differentiation of certain populations. The demographic survey revealed a general decrease in the spatial distribution and abundance of P. toxostoma over the last three decades. We conclude that demo-genetic approaches are essential for (1) identifying populations for which both evolutionary and ecological extinction risks are high; and (2) proposing conservation plans targeted toward these at risk populations, and accounting for the evolutionary history of populations. We suggest that demo-genetic approaches should be the norm in conservation practices.
机译:摘要为受威胁的人群确定优先次序并制定有效的保护计划需要在进化和生态时间尺度上的信息。然而,很少有研究整合多学科方法,这主要是由于保护主义者难以同时评估种群的进化和生态状况。在这里,我们试图证明将遗传和人口分析相结合如何能够确定优先次序并启动保护计划。为此,我们结合了快照微卫星数据和长达30年的人口调查,以对流域范围内的濒临灭绝的淡水鱼类(Parachondrostoma toxostoma)进行研究。我们的研究结果表明,所有人群的遗传多样性水平都较低,有效种群规模较小(<63个个体)。我们进一步检测到可以追溯到最近几个世纪(200-800年前)的严重瓶颈,这可能可以解释某些人群的分化。人口统计调查显示,过去三十年来,弓形虫的空间分布和数量普遍减少。我们得出结论,示范遗传学方法对于(1)识别进化和生态灭绝风险均很高的种群至关重要; (2)针对这些高危人群提出保护计划,并说明其进化史。我们建议,示范遗传学方法应成为保护实践的规范。

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