植物生态学报 ›› 2011, Vol. 35 ›› Issue (3): 284-293.DOI: 10.3724/SP.J.1258.2011.00284 cstr: 32100.14.SP.J.1258.2011.00284
收稿日期:2010-04-19
接受日期:2010-12-10
出版日期:2011-04-19
发布日期:2011-03-02
作者简介:*E-mail: zhoudaowei@neigae.ac.cnReceived:2010-04-19
Accepted:2010-12-10
Online:2011-04-19
Published:2011-03-02
摘要:
虽然个体大小和密度的关系是植物生态学研究的中心问题, 但是大多数基础研究只观测植株地上部分的生物量, 即地上部分大小-密度关系, 而对于地下构件大小-密度关系的研究十分薄弱。因为植物个体的生长是构件变化的过程, 所以个体大小和密度的关系不仅表现为种群水平和个体水平, 也表现为构件水平。该文研究了5个密度(36、49、64、121和225株·m-2)的红葱(Allium cepa var. proliferum)种群地下构件密度制约调节规律及其与地上构件密度制约调节规律的关系, 地下部分和全株(包括地上部分和地下部分)的密度制约调节规律, 及二者与地上部分密度制约调节规律的关系。结果表明: (1)不同密度环境下, 植物的表型可以通过各器官形态的可塑性反应发生调整; 植株地下构件和地上构件的各个特征(株高、叶片长、叶片数、鳞茎直径、分蘖重)均与密度呈显著的线性相关关系; (2)平均根、鳞茎、叶片和鞘生物量均与密度呈显著的幂函数负相关关系, 但异速指数不同: 鳞茎(-1.14)<叶片(-1.03)<根(-0.78)<鞘(-0.49), 表明地下构件的大小和地上构件的大小随密度的变化不一致; (3)平均地下、地上和个体生物量均与种群密度呈显著的幂函数负相关关系, 但异速指数不同, 分别为: -1.13、-0.95和-0.98, 表明地上部分大小和全株大小随种群密度的变化基本一致, 但与地下部分大小的变化不一致。总之, 密度制约对植株地下构件的调节作用大于地上构件, 对地下部分的调节作用大于地上部分, 红葱种群对地下资源的竞争占主导地位。
黎磊, 周道玮. 红葱种群地上和地下构件的密度制约调节. 植物生态学报, 2011, 35(3): 284-293. DOI: 10.3724/SP.J.1258.2011.00284
LI Lei, ZHOU Dao-Wei. Density-dependent regulation of above- and below-ground modules in Allium cepa var. proliferum populations. Chinese Journal of Plant Ecology, 2011, 35(3): 284-293. DOI: 10.3724/SP.J.1258.2011.00284
图1 植株密度对红葱构件形态特征的影响(平均值±标准误差)。不同小写字母表示不同密度处理间差异显著(p < 0.05)。
Fig. 1 Effects of plant density on morphological characteristics of Allium cepa var. proliferum modules (mean ± SE). Different lowercase letters indicate significant differences among density treatments (p < 0.05).
| x | y | 方程 Equation | 参数 Parameter | r | p | |
|---|---|---|---|---|---|---|
| a | b | |||||
| 密度 Density | 株高 Plant height | L | 35.72 | 0.06 | 0.85 | <0.001 |
| 叶片长 Leaf blade length | L | 17.05 | 0.03 | 0.92 | <0.001 | |
| 叶片数 Number of leaves | L | 38.34 | -0.37 | -0.96 | <0.001 | |
| 鳞茎直径 Bulb diameter | L | 6.95 | -0.01 | -0.84 | <0.001 | |
| 分蘖数 Number of tillers | L | 11.67 | -0.01 | -0.24 | 0.40 | |
| 分蘖重 Weight per tiller | P | 70.65 | -0.98 | -0.99 | <0.001 | |
| 根生物量 Root biomass | P | 22.14 | -0.78 | -0.98 | <0.001 | |
| 鳞茎生物量 Bulb biomass | P | 1 766.50 | -1.14 | -0.98 | <0.001 | |
| 鞘生物量 Sheath biomass | P | 12.50 | -0.49 | -0.92 | <0.001 | |
| 叶片生物量 Leaf blade biomass | P | 642.22 | -1.03 | -0.99 | <0.001 | |
| 地下生物量 Below-ground biomass | P | 1 855.60 | -1.13 | -0.97 | <0.001 | |
| 个体生物量 Individual biomass | P | 1 517.60 | -0.98 | -0.99 | <0.001 | |
| 地上生物量 Above-ground biomass | P | 608.47 | -0.95 | -0.99 | <0.001 | |
表1 红葱个体各数量性状与植株密度之间关系的拟合模型
Table 1 Simulated models on relationships between quantitative characters and plant density of Allium cepa var. proliferum
| x | y | 方程 Equation | 参数 Parameter | r | p | |
|---|---|---|---|---|---|---|
| a | b | |||||
| 密度 Density | 株高 Plant height | L | 35.72 | 0.06 | 0.85 | <0.001 |
| 叶片长 Leaf blade length | L | 17.05 | 0.03 | 0.92 | <0.001 | |
| 叶片数 Number of leaves | L | 38.34 | -0.37 | -0.96 | <0.001 | |
| 鳞茎直径 Bulb diameter | L | 6.95 | -0.01 | -0.84 | <0.001 | |
| 分蘖数 Number of tillers | L | 11.67 | -0.01 | -0.24 | 0.40 | |
| 分蘖重 Weight per tiller | P | 70.65 | -0.98 | -0.99 | <0.001 | |
| 根生物量 Root biomass | P | 22.14 | -0.78 | -0.98 | <0.001 | |
| 鳞茎生物量 Bulb biomass | P | 1 766.50 | -1.14 | -0.98 | <0.001 | |
| 鞘生物量 Sheath biomass | P | 12.50 | -0.49 | -0.92 | <0.001 | |
| 叶片生物量 Leaf blade biomass | P | 642.22 | -1.03 | -0.99 | <0.001 | |
| 地下生物量 Below-ground biomass | P | 1 855.60 | -1.13 | -0.97 | <0.001 | |
| 个体生物量 Individual biomass | P | 1 517.60 | -0.98 | -0.99 | <0.001 | |
| 地上生物量 Above-ground biomass | P | 608.47 | -0.95 | -0.99 | <0.001 | |
| 因变量 Dependent variable | 自变量 Independent variable | 分析类型 Analysis type | F | p | R2 |
|---|---|---|---|---|---|
| 根生物量 Root biomass | 密度 Density | 方差分析 ANOVA | 19.4 | <0.001 | |
| 密度 Density | 协方差分析 ANCOVA | 4.4 | 0.031 | 0.86 | |
| 个体生物量 Individual biomass | 2.3 | 0.161 | |||
| 鳞茎生物量 Bulb biomass | 密度 Density | 方差分析 ANOVA | 2 651.7 | <0.001 | |
| 密度 Density | 协方差分析 ANCOVA | 82.8 | <0.001 | 1.000 | |
| 个体生物量 Individual biomass | 45.4 | <0.001 | |||
| 鞘生物量 Sheath biomass | 密度 Density | 方差分析 ANOVA | 18.3 | <0.001 | |
| 密度 Density | 协方差分析 ANCOVA | 0.6 | 0.696 | 0.833 | |
| 个体生物量 Individual biomass | 1.1 | 0.326 | |||
| 叶片生物量 Leaf blade biomass | 密度 Density | 方差分析 ANOVA | 302.3 | <0.001 | |
| 密度 Density | 协方差分析 ANCOVA | 16.8 | <0.001 | 0.989 | |
| 个体生物量 Individual biomass | 1.1 | 0.326 | |||
| 个体生物量 Individual biomass | 密度 Density | 方差分析 ANOVA | 3 241.3 | <0.001 | 0.996 |
| 地上生物量 Above-ground biomass | 密度 Density | 方差分析 ANOVA | 2 386.7 | <0.001 | |
| 密度 Density | 协方差分析 ANCOVA | 77.5 | <0.001 | 0.998 | |
| 个体生物量 Individual biomass | 0.1 | 0.725 | |||
| 地下生物量 Below-ground biomass | 密度 Density | 方差分析 ANOVA | 1 795.1 | <0.001 | |
| 密度 Density | 协方差分析 ANCOVA | 77.4 | <0.001 | 1.000 | |
| 个体生物量 Individual biomass | 95.7 | <0.001 |
表2 不同密度对红葱个体地上和地下各部分平均生物量影响的单因素方差分析与协方差分析
Table 2 One-way ANOVA and ANCOVA of mean biomass of above- and below-ground parts of Allium cepa var. proliferum under different densities
| 因变量 Dependent variable | 自变量 Independent variable | 分析类型 Analysis type | F | p | R2 |
|---|---|---|---|---|---|
| 根生物量 Root biomass | 密度 Density | 方差分析 ANOVA | 19.4 | <0.001 | |
| 密度 Density | 协方差分析 ANCOVA | 4.4 | 0.031 | 0.86 | |
| 个体生物量 Individual biomass | 2.3 | 0.161 | |||
| 鳞茎生物量 Bulb biomass | 密度 Density | 方差分析 ANOVA | 2 651.7 | <0.001 | |
| 密度 Density | 协方差分析 ANCOVA | 82.8 | <0.001 | 1.000 | |
| 个体生物量 Individual biomass | 45.4 | <0.001 | |||
| 鞘生物量 Sheath biomass | 密度 Density | 方差分析 ANOVA | 18.3 | <0.001 | |
| 密度 Density | 协方差分析 ANCOVA | 0.6 | 0.696 | 0.833 | |
| 个体生物量 Individual biomass | 1.1 | 0.326 | |||
| 叶片生物量 Leaf blade biomass | 密度 Density | 方差分析 ANOVA | 302.3 | <0.001 | |
| 密度 Density | 协方差分析 ANCOVA | 16.8 | <0.001 | 0.989 | |
| 个体生物量 Individual biomass | 1.1 | 0.326 | |||
| 个体生物量 Individual biomass | 密度 Density | 方差分析 ANOVA | 3 241.3 | <0.001 | 0.996 |
| 地上生物量 Above-ground biomass | 密度 Density | 方差分析 ANOVA | 2 386.7 | <0.001 | |
| 密度 Density | 协方差分析 ANCOVA | 77.5 | <0.001 | 0.998 | |
| 个体生物量 Individual biomass | 0.1 | 0.725 | |||
| 地下生物量 Below-ground biomass | 密度 Density | 方差分析 ANOVA | 1 795.1 | <0.001 | |
| 密度 Density | 协方差分析 ANCOVA | 77.4 | <0.001 | 1.000 | |
| 个体生物量 Individual biomass | 95.7 | <0.001 |
图2 植株密度对红葱各构件(根、鳞茎、鞘和叶片)生物量的影响(平均值±标准误差)。不同小写字母表示相同构件在不同密度处理下差异显著(p < 0.05)。
Fig. 2 Effects of plant density on mean biomass of modules (root, bulb, sheath and leaf blade) for Allium cepa var. proliferum (mean ± SE). Different lowercase letters indicate significant differences of different density treatments for identical module (p < 0.05).
图3 植株密度对红葱各构件生物量分配的影响(平均值±标准误差)。不同小写字母表示相同构件在不同密度处理下差异显著(p < 0.05)。
Fig. 3 Effects of plant density on biomass allocation of Allium cepa var. proliferum modules (mean ± SE). Different lowercase letters indicate significant differences of different density treatments for identical module (p < 0.05).
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