Enright N J, Franco M, Silvertown J
Department of Geography, University of Melbourne, 3052, Parkville, Victoria, Australia.
Centro de Ecologia, Universidad Nacional Autonoma de México, Apartado Postal 70-275, 04510, México, D.F., México.
Oecologia. 1995 Sep;104(1):79-84. doi: 10.1007/BF00365565.
Recent studies have used transition matrix elasticity analysis to investigate the relative role of survival (L), growth (G) and fecundity (F) in determining the estimated rate of population increase for perennial plants. The relative importance of these three variables has then been used as a framework for comparing patterns of plant life history in a triangular parameter space. Here we analyse the ways in which the number of life-cycle stages chosen to describe a species (transition matrix dimensionality) might influence the interpretation of such comparisons. Because transition matrix elements describing survival ("stasis") and growth are not independent, the number of stages used to describe a species influences their relative contribution to the population growth rate. Reduction in the number of stages increases the apparent importance of stasis relative to growth, since each becomes broader and fewer individuals make the transition to the next stage per unit time period. Analysis of a test matrix for a hypothetical tree species divided into 4-32 life-cycle stages confirms this. If the number of stages were defined in relation to species longevity so that mean residence time in each stage were approximately constant, then the elasticity of G would reflect the importance of relative growth rate to λ. An alternative, and simpler, approach to ensure comparability of results between species may be to use the same number of stages regardless of species longevity. Published studies for both herbaceous and woody species have tended to use relatively few stages to describe life cycles (herbs: n=45, [Formula: see text]; woody plants: n=21, [Formula: see text]) and so approximate this approach. By using the same number of stages regardless of longevities, the position of species along the G-L side of the triangular parameter space largely reflects differences in longevity. The extent of variation in elasticity for L, G and F within and between species may also be related to factors such as successional status and habitat. For example, the shade-tolerant woody species, Araucaria cunninghamii, shows greater importance for stasis (L), while the gap-phase congener species, Araucaria hunsteinii, shows higher values for G (although values are likely to vary with the stage of stand development).
最近的研究使用转移矩阵弹性分析来探究存活(L)、生长(G)和繁殖力(F)在决定多年生植物估计种群增长率方面的相对作用。这三个变量的相对重要性随后被用作在三角形参数空间中比较植物生活史模式的框架。在此,我们分析选择用来描述一个物种的生命周期阶段数量(转移矩阵维度)可能影响此类比较解释的方式。由于描述存活(“停滞”)和生长的转移矩阵元素并非相互独立,用于描述一个物种的阶段数量会影响它们对种群增长率的相对贡献。阶段数量的减少会增加停滞相对于生长的表观重要性,因为每个阶段变得更宽泛,且单位时间段内进入下一阶段的个体数量减少。对一个分为4 - 32个生命周期阶段的假设树种的测试矩阵分析证实了这一点。如果阶段数量是根据物种寿命来定义的,使得每个阶段的平均停留时间大致恒定,那么G的弹性将反映相对生长率对λ的重要性。另一种更简单的确保物种间结果可比性的方法可能是无论物种寿命如何都使用相同数量的阶段。已发表的针对草本和木本物种的研究倾向于使用相对较少的阶段来描述生命周期(草本植物:n = 45,[公式:见原文];木本植物:n = 21,[公式:见原文]),因此近似采用了这种方法。通过无论寿命长短都使用相同数量的阶段,物种在三角形参数空间中沿G - L边的位置在很大程度上反映了寿命差异。物种内部和物种之间L、G和F弹性的变化程度也可能与诸如演替状态和栖息地等因素有关。例如,耐荫木本物种南洋杉(Araucaria cunninghamii)显示出停滞(L)更为重要,而林窗阶段的同属物种昆士兰南洋杉(Araucaria hunsteinii)则显示出G值更高(尽管这些值可能随林分发育阶段而变化)。