five

Data and code from: Fire-survival strategies of first-year acacia seedlings

收藏
DataCite Commons2026-04-20 更新2026-04-25 收录
下载链接:
https://datadryad.org/dataset/doi:10.5061/dryad.15dv41p9z
下载链接
链接失效反馈
官方服务:
资源简介:
Savannas—defined by discontinuous tree cover and continuous grass cover—are maintained by factors such as drought, fire, and herbivory which impose bottlenecks on tree populations. Despite evidence that young plants are particularly vulnerable to fire, surprisingly little is known about the traits that enable first-year seedlings to survive fire. This limits our understanding of the mechanisms underlying tree establishment and savanna dynamics more generally. We conducted a full factorial common garden experiment to measure the separate and combined impacts of fire, drought, and herbivory on rates on three- to six-month-old seedlings of 12 ‘Acacia’ (sensu lato) species in the genera Vachellia and Senegalia. Results demonstrate an overwhelming impact of fire on mortality, enhanced by drought, but the impact of herbivory was not detectable. Stem thickness was the best predictor of topkill and survival, with threshold diameters of 9.56 mm (95% CI 9.51–9.59) for well-watered and 11.52 mm (95% CI 10.88–12.69) for droughted plants, above which seedlings had favorable odds of avoiding topkill by fire and surviving. The ability of seedlings to survive after being topkilled by fire varied by species and was linked to the drought treatment and the existence of stem bases belowground. Thus, fire represents a major demographic bottleneck for first-year acacia seedlings, even when seedlings are established and have sufficient access to water. Synthesis: Acacia seedlings (eleven of twelve species) acquire some ability to survive grass fires in their first year, either by resisting topkill with thickened stems and/or by regrowing from below-ground stems. Our results suggest that small differences in these fire-survival strategies at this crucial life stage translate to large differences in savanna physiognomy and species composition.
提供机构:
Dryad
创建时间:
2026-04-20
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作