Waller D M
The Gray Herbarium, Harvard University, 02138, Cambridge, MA, USA.
Oecologia. 1981 Oct;51(1):116-122. doi: 10.1007/BF00344661.
Research into local (neighborhood) competition has heretofore focused on either natural populations of long-lived woody plants or artifical populations of herbaceous annuals. To explore the usefulness of these techniques for herbaceous perennials, 1 applied them to 11 natural populations of 4 species of violet (Viola blanda, V. pallens, and V. incognita, alone and with V. adunca). Ramet density ranged from 132 to 508 per square meter. The analysis tried to account for the size of each ramet (expressed as the number of leaves) using information on the number, size, and angular aggregation of neighboring plants in three concentric annuli (0-3, 3-6, and 6-9 cm). Simple rank correlations between leaf number and these measures of local competition were usually of the expected sign, but were consistently significant in only two of the populations (1 pallens and 1 incognita). No significant correlations were of the "wrong" sign. When the spatial independent variables were combined into multiple regression equations they accounted for between 5 and 59% of the total variance in leaf number. The equations were best in predicting individual size in the Newfoundland populations of V. incognita which had the greatest range in individual size. Total plant density appeared unrelated to predictive success.The neighborhood competition approach can be applied to natural populations of herbaceous perennials, but low density, inaccurate measures of plant performance and microvariation in site quality limit its usefulness. In particular, it seems impossible to determine the mechanism by which neighbors exert their competitive effects with this approach.
此前,对局部(邻域)竞争的研究主要集中在长寿木本植物的自然种群或一年生草本植物的人工种群上。为了探究这些技术对多年生草本植物的适用性,我将它们应用于4种堇菜(光叶堇菜、淡紫花堇菜、深山堇菜,单独种植以及与钝叶堇菜混种)的11个自然种群。分株密度范围为每平方米132至508株。分析试图利用三个同心环(0 - 3厘米、3 - 6厘米和6 - 9厘米)内相邻植株的数量、大小和角聚集信息来考虑每个分株的大小(以叶片数量表示)。叶片数量与这些局部竞争指标之间的简单秩相关通常具有预期的符号,但仅在两个种群(淡紫花堇菜和深山堇菜)中始终显著。没有显著的相关性具有“错误”的符号。当将空间自变量组合成多元回归方程时,它们解释了叶片数量总方差的5%至59%。这些方程在预测个体大小范围最大的纽芬兰深山堇菜种群的个体大小时效果最佳。总植株密度似乎与预测成功率无关。邻域竞争方法可以应用于多年生草本植物的自然种群,但低密度、植物表现的不准确测量以及场地质量的微变异限制了其有用性。特别是,用这种方法似乎无法确定邻居发挥竞争作用的机制。