Plant mortality and birth rates are critical components of plant life history affecting the stability of plant populations and the ecosystems they form. Although allometric theory predicts that both plant birth and mortality rates should be size-dependent, this prediction has not yet been tested across plants ranging the full size spectrum. Here we show that both population mortality and population birth rates scale as the ؊ 1 ⁄4 power and plant lifespan as the 1 ⁄4 power of plant mass across plant species spanning from the tiniest phototrophs to the largest trees. Whereas the controls on plant lifespans are as yet poorly understood, our findings suggest that plant mortality rates have evolved to match population birth rates, thereby helping to maintain plant communities in equilibrium and optimizing plant life histories.birth ͉ lifespan ͉ mortality ͉ phototrophic organisms ͉ population growth P lant mortality, the negative loss term in the demographic balance of the populations, has received far less attention than the positive components of plant population dynamics, such as reproductive effort (1, 2). Yet, plant mortality is essential to maintain population turnover and the associated carbon cycling (3). Whereas animal life history has been shown to be closely scaled to body size (4-7), the possible size scaling of plant birth and mortality rates has not yet been tested, despite evidence of a strong size dependence of a range of plant functional traits such as carbon turnover, production, growth, metabolism, and reproduction (2, 8-11).Plant lifespan varies broadly across phototrophs, from hours in the smallest phytoplankton cells (12) to centuries in large trees (13). These differences suggest a possible size dependence of plant life history, which has been postulated on the basis of theoretical analyses of the optimal plant life history, which predicts plant lifespan (E) to be scaled to the 1 ⁄4 power of individual plant mass (M) (1). This prediction, which is consistent with expectations from the metabolic theory of metabolism predicting specific organismal rates to scale as the Ϫ 1 ⁄4 power of size (5)(6)(7)(8)14) and with the 1 ⁄4 power scaling of animal lifespan with body size (4), remains, however, untested. We tested this prediction by examining the scaling of plant birth and mortality rates, lifespan, and population growth with plant mass on the basis of a compilation of published reports yielding 293 and 728 estimates of plant birth and mortality rates, respectively, across the broadest possible range of phototrophic organisms, which span Ϸ6 orders of magnitude in mortality and birth rates, and Ϸ21 orders of magnitude in mass [ Table 1 and supporting information (SI) Tables 2 and 3].
Results and DiscussionPlant mortality, D (dϪ1), was strongly, inversely related to plant mass (grams, dry weight), with mortality rates scaled, as predicted, as the Ϫ 1 ⁄4 power of plant mass (Fig. 1). The slope of this relationship is, however, slightly, but significantly, lower than the expected value of Ϫ 1 ⁄4 (slope...