Wenk Elizabeth Hedi, Falster Daniel S
Biological Sciences Macquarie University NSW 2109 Australia.
Ecol Evol. 2015 Nov 7;5(23):5521-38. doi: 10.1002/ece3.1802. eCollection 2015 Dec.
A plant's reproductive allocation (RA) schedule describes the fraction of surplus energy allocated to reproduction as it increases in size. While theorists use RA schedules as the connection between life history and energy allocation, little is known about RA schedules in real vegetation. Here we review what is known about RA schedules for perennial plants using studies either directly quantifying RA or that collected data from which the shape of an RA schedule can be inferred. We also briefly review theoretical models describing factors by which variation in RA may arise. We identified 34 studies from which aspects of an RA schedule could be inferred. Within those, RA schedules varied considerably across species: some species abruptly shift all resources from growth to reproduction; most others gradually shift resources into reproduction, but under a variety of graded schedules. Available data indicate the maximum fraction of energy allocated to production ranges from 0.1 to 1 and that shorter lived species tend to have higher initial RA and increase their RA more quickly than do longer-lived species. Overall, our findings indicate, little data exist about RA schedules in perennial plants. Available data suggest a wide range of schedules across species. Collection of more data on RA schedules would enable a tighter integration between observation and a variety of models predicting optimal energy allocation, plant growth rates, and biogeochemical cycles.
植物的繁殖分配(RA)时间表描述了随着植物大小增加,分配给繁殖的剩余能量的比例。虽然理论学家将RA时间表用作生活史与能量分配之间的联系,但对于真实植被中的RA时间表却知之甚少。在此,我们利用直接量化RA的研究或收集了可据此推断RA时间表形状的数据的研究,回顾了关于多年生植物RA时间表的已知情况。我们还简要回顾了描述RA可能产生变化的因素的理论模型。我们确定了34项可据此推断RA时间表各方面情况的研究。在这些研究中,不同物种的RA时间表差异很大:一些物种会突然将所有资源从生长转向繁殖;大多数其他物种则逐渐将资源转向繁殖,但遵循各种不同的渐变时间表。现有数据表明,分配给繁殖的能量的最大比例在0.1到1之间,且寿命较短的物种往往具有较高的初始RA,并且比寿命较长的物种更快地增加其RA。总体而言,我们的研究结果表明,关于多年生植物RA时间表的数据很少。现有数据表明不同物种的时间表差异很大。收集更多关于RA时间表的数据将使观测与预测最佳能量分配、植物生长速率和生物地球化学循环的各种模型之间实现更紧密的整合。