Drought regimens predict life history strategies in Heliophila

被引:21
作者
Monroe, J. Grey [1 ,2 ]
Gill, Brian [3 ]
Turner, Kathryn G. [4 ,5 ]
McKay, John K. [2 ]
机构
[1] Colorado State Univ, Grad Degree Program Ecol, Ft Collins, CO 80521 USA
[2] Colorado State Univ, Coll Agr, Ft Collins, CO 80521 USA
[3] Brown Univ, Inst Environm & Soc, Providence, RI 02912 USA
[4] Penn State Univ, Biol Dept, State Coll, PA 16802 USA
[5] Max Plank Inst Dev Biol, D-72076 Tubingen, Germany
基金
美国国家科学基金会;
关键词
drought adaptation; Heliophila; herbaria records; life history evolution; phylogeography; remote sensing; EVOLUTION; CLIMATE; CONSEQUENCES; PHYLOGENIES; ALGORITHM; RADIATION; GRASSES; HABITAT; BIOLOGY; PLANTS;
D O I
10.1111/nph.15919
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
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.
引用
收藏
页码:2054 / 2062
页数:9
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