Drought regimens predict life history strategies in Heliophila
Drought regimens predict life history strategies in Heliophila
复制标题
干旱方案预测Heliophila的生活史策略
DOI：
10.1111/nph.15919
复制
发表时间：
2019
期刊：
影响因子：
9.4
通讯作者：
McKay, John K.
中科院分区：
文献类型：
--
作者：
Monroe, J. Grey;Gill, Brian;Turner, Kathryn G.;McKay, John K.
解释生活史策略的变异是进化生物学和生态学的一个永恒目标。早期的理论预测，对于植物来说，一年和多年生的生活史反映了对经历替代干旱制度的环境的适应。然而，这一假设仍然缺乏比较分析的实证支持。在这里，我们测试了经典的生活史理论在太阳神属。（菊科），一个不同的属的开花植物原产于非洲，控制干旱和整合34年的卫星干旱检测与2192标本发生记录。我们发现，这些物种的共同祖先可能是一年生植物，并且多年生植物和一年生植物已经重复进化，估计分别为7倍和5倍。通过比较历史上的干旱制度，我们表明，一年生植物，而不是多年生物种发生在干旱的环境中显着更频繁。我们还发现证据表明，一年生植物通过逃避干旱易发季节作为种子来适应可预测的干旱状况。这些结果通过揭示干旱频率和可预测性对解释植物生活史的重要性，为长期存在的理论预测提供了令人信服的支持。更广泛地说，这项工作突出了可扩展的方法，整合植物标本记录和遥感，以解决进化生态学中的突出问题。
Explaining variation in life history strategies is an enduring goal of evolutionary biology and ecology. Early theory predicted that for plants, annual and perennial life histories reflect adaptations to environments that experience alternative drought regimens. Nevertheless, empirical support for this hypothesis from comparative analyses remains lacking. Here, we test classic life history theory in Heliophila L.(Brassicaceae), a diverse genus of flowering plants native to Africa, controlling for phylogeny and integrating 34 yr of satellite-based drought detection with 2192 herbaria occurrence records. We find that the common ancestor of these species was likely to be an annual, and that perenniality and annuality have repeatedly evolved, an estimated seven and five times, respectively. By comparing historical drought regimens, we show that annuals rather than perennial species occur in environments where droughts are significantly more frequent. We also find evidence that annual plants adapt to predictable drought regimens by escaping drought-prone seasons as seeds. These results yield compelling support for longstanding theoretical predictions by revealing the importance of drought frequency and predictability to explain plant life history. More broadly, this work highlights scalable approaches, integrating herbaria records and remote sensing to address outstanding questions in evolutionary ecology.