半干旱地区3种植物叶片水平的抗旱耐旱特性分析——两个气孔导度模型的应用和比较

doi:10.17521/cjpe.2006.0009

摘要/Abstract

摘要：

在对半干旱区3种植物进行生理生态特性测定的基础上,应用两种气孔导度模型进行参数的非线性拟合,BBL模型平均可以解释77.6%的结果,Gao模型平均可以解释59.3%的结果。但Gao模型作为一个机理性的模型,其参数具有明确的物理意义。模型的行为和敏感性分析结果说明,用BBL计算的气孔导度一般大于Gao模型。BBL模型对于干旱胁迫下的土壤水分亏缺没有响应, 因而不适合用作干旱半干旱区的植物生理生态学分析和生态系统模拟。而Gao模型可以描述在各种水分条件下植物气孔导度的响应。Gao模型的结果说明,与油松 (Pinus tabulaeformis) 和中间锦鸡儿 (Caragana intermedia) 比较,小叶杨 (Populus simonii) 具有最小的抗旱和耐旱能力,油松具有最好的叶片水平的耐旱和抗旱特性,但其气孔导度对土壤水分的不敏感意味着在干旱条件下维持光合作用的同时,也可能会导致过多的水分损失。中间锦鸡儿具有很强的耐旱性,且其气孔导度对土壤水分的变化敏感,二者相结合,中间锦鸡儿可以在土壤水分条件较好的情况下,维持较大的气孔导度以满足光合作用的需要,但在土壤水分胁迫严重的时候能迅速降低气孔导度以保持土壤水分。

关键词: 气孔导度, 抗旱性, 敏感性分析, 气孔模型

Abstract:

We measured diurnal gas exchange properties of three major species in a semi-arid site, and two stomatal conductance models were then applied to the data. The result indicated that the BBL model and the Gao model could explain on average 77.6% and 59.3% of variation in the observed stomatal conductance, respectively. Sensitivity analysis of the models indicated that the BBL model tended to give higher predictions of stomatal conductance than the Gao model. Both models showed similar responses to changes in vapor pressure. The sharp contrast between the two models, however, was that the Gao model responded to changes in soil water stress to different extents. The BBL model coupled with the TJ photosynthesis model was indifferent to increases of soil water stresses, which contradicts concurrent understanding and observations about plant physiology in arid and semiarid regions. Thus the BBL model, even though it provided better explanations of the variations in field stomata data, may not be appropriate for experimental data analysis and ecosystem simulation applications. The analysis using the Gao model indicated that Populus simonii was the least tolerant and resistant to water stresses among the three species studied. Pinus tabulaeformis had both high tolerance and resistance, but stomatal conductance of the pine tree was the least insensitive to changes in soil water stresses. Hence this pine tree may not be good for water conservation under extremely dry conditions. Caragana intermedia, however, had both larger drought tolerance and larger sensitivity to incremental soil water stresses, and thus can provide large stomatal conductance for photosynthesis when soil water stress was low, but reduce water consumption under severe water stresses by decreasing stomatal conductance with increasing soil water stress.

Key words: Stomatal conductance, Drought resistance, Sensitive analysis, Stomatal model

刘颖慧, 高琼, 贾海坤. 半干旱地区3种植物叶片水平的抗旱耐旱特性分析——两个气孔导度模型的应用和比较. 植物生态学报, 2006, 30(1): 64-70. DOI: 10.17521/cjpe.2006.0009

LIU Ying-Hui, GAO Qiong, JIA Hai-Kun. LEAF-SCALE DROUGHT RESISTANCE AND TOLERANCE OF THREE PLANT SPECIES IN A SEMI-ARID ENVIRONMENT: APPLICATION AND COMPARISON OF TWO STOMATAL CONDUCTANCE MODELS. Chinese Journal of Plant Ecology, 2006, 30(1): 64-70. DOI: 10.17521/cjpe.2006.0009

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链接本文: https://www.plant-ecology.com/CN/10.17521/cjpe.2006.0009

https://www.plant-ecology.com/CN/Y2006/V30/I1/64

图/表 4

Fig.1 Comparison of stomatal conductance predicted by the two models

Table 1 Nonlinear regression result for the BBL models

Species	g₀	α	D₀	R²	F	F_c(1%)
Populus simonii	0.074 0	29.99	0.247 1	0.775	$F 983$ =112.5	3.99
Pinus tabulaeformis	0.026 5	196.34	0.019 0	0.736	$F 1033$ =97.7	3.97
Caragana intermedia	0.067 1	10.84	1.179 4	0.818	$F 983$ =147.0	3.99

Table 1 Nonlinear regression result for the BBL models

Species	g₀	α	D₀	R²	F	F_c(1%)
Populus simonii	0.074 0	29.99	0.247 1	0.775	$F 983$ =112.5	3.99
Pinus tabulaeformis	0.026 5	196.34	0.019 0	0.736	$F 1033$ =97.7	3.97
Caragana intermedia	0.067 1	10.84	1.179 4	0.818	$F 983$ =147.0	3.99

Table 2 Nonlinear regression result for the model by Gao et al. (2002)

Species	g₀_m	k_ψ	k_αβ	k_βg	R²	F	F_c(1%)	β	π₀	g_z
Populus simonii	0.77	0.37	1.19	253.5	0.627	$F 984$ =37.1	3.52	2.7	-2.06	0.0015
Pinus tabulaeformis	1.47	0.13	0.73	600	0.416	$F 1054$ =14.2	3.50	7.4	-10.9	0.0002
Caragana intermedia	5.19	0.51	16.35	2320.9	0.735	$F 984$ =66.6	3.52	2.0	-10.2	0.0002

Table 2 Nonlinear regression result for the model by Gao et al. (2002)

Species	g₀_m	k_ψ	k_αβ	k_βg	R²	F	F_c(1%)	β	π₀	g_z
Populus simonii	0.77	0.37	1.19	253.5	0.627	$F 984$ =37.1	3.52	2.7	-2.06	0.0015
Pinus tabulaeformis	1.47	0.13	0.73	600	0.416	$F 1054$ =14.2	3.50	7.4	-10.9	0.0002
Caragana intermedia	5.19	0.51	16.35	2320.9	0.735	$F 984$ =66.6	3.52	2.0	-10.2	0.0002

Fig.2 Simulated stomatal conductance by the two models under prescribed micro-environmental conditions

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