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Predicting population viability of the narrow endemic Mediterranean plant Centaurea corymbosa under climate change

机译:在气候变化下预测狭窄的地方地中海植物中心植物植物植物植物植物的可行性

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摘要

Climate change is a growing threat for global biodiversity, in particular for narrow endemic species. The Mediterranean region, which harbors an exceptional biodiversity, has been identified as one of the most sensitive regions to climate change. Based on a 22-year monitoring period, we analyzed the dynamic and viability of the six extant populations of a narrow endemic plant species of the Mediterranean area, Centaurea corymbosa, to predict their fate under two climatic scenarios. We constructed matrix projection models to calculate current asymptotic growth rates and to perform stochastic projections including both demographic and environmental stochasticity. Neither asymptotic growth rates nor their temporal variance were linked to population size and age at flowering. Randomization tests showed that asymptotic growth rates were significantly different among years but not among populations. An increase in temperature and a decrease in the number of wet days had a negative impact on the whole life-cycle, particularly in the summer period, and thus reduced asymptotic growth rates. Stochastic projections showed that an increased frequency of extreme climatic events increased population extinction risk and decreased mean time to extinction. The warm scenario had a more dramatic impact on population viability than the dry scenario. Management recommendations are proposed to increase population viability of endangered plant species such as C. corymbosa that face climate change.
机译:气候变化是对全球生物多样性的巨大威胁,特别是对于狭义的地方性物种。港口遗传生物多样性的地中海地区已被识别为气候变化最敏感的地区之一。基于22年的监测期,我们分析了六个现存人口的动态和可行性,即地中海地区,CenteRea Corymbosa的狭窄地方植物种类,以预测其在两个气候情景下的命运。我们构建了矩阵投影模型,以计算当前的渐近生长速率,并执行随机投影,包括人口统计和环境随机性。渐近生长率和它们的时间方差都没有与开花的人口大小和年龄联系起来。随机化测试表明,渐近生长率在群体中具有显着差异而不是人口。温度的增加和潮湿天数的减少对整个生命周期产生负面影响,特别是在夏季期间,从而降低渐近生长速率。随机预测显示,极端气候事件的频率增加增加了人口灭绝风险,并减少了灭绝的平均时间。温暖的情况对人口活力产生更大的影响而不是干燥场景。提出了管理建议,以增加濒危植物种类的人口活力,如CORYMBOSA面临气候变化。

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