角质层而非气孔调控木兰科植物叶片最小导度OA
Cuticle,but not Stomata,Regulates Minimum Leaf Conductance in Magnoliaceae
为了解森林植物对干旱的响应与适应机制,对同质园中 26 种木兰科(Magnoliaceae)植物(16 种常绿、10 种落叶)的叶片最小导度(gmin)进行测定.结果表明,常绿物种的 gmin[6.5 mmol/(m2ꞏs)]显著低于落叶物种[11.6 mmol/(m2ꞏs)],且 gmin总体上与叶片角质层厚度呈显著负相关,但与气孔大小、密度和气孔指数无显著相关性.gmin随物种分布地的年均温(MAT)升高而降低,而与年均降水(MAP)无显著相关性.然而,在常绿物种中,gmin随分布地 MAP 的降低而显著下降,表明降低 gmin是常绿物种(而非落叶物种)采取的干旱适应策略.此外,常绿物种具有更厚的角质层,这解释了 gmin较低的原因.木兰科物种的gmin存在显著的种间变异性,并主要受角质层特征而非气孔特征的调控.这为揭示植物干旱适应机制提供了新的视角.
To understand the response and adaptation mechanisms of forest plants to drought,the minimum leaf conductance(gmin)of 26 Magnoliaceae species(16 evergreen and 10 deciduous)in a common garden was measured.The results showed that the gmin of evergreen species[6.5 mmol/(m2ꞏs)]was significantly lower than that of deciduous species[11.6 mmol/(m2ꞏs)],and gmin was generally significantly negatively correlated with leaf cuticle thickness,but not significantly correlated with stomatal size,density,and stomatal index.The gmin decreased with the increase of mean annual temperature(MAT)of the species distribution area,but was not significantly correlated with mean annual precipitation(MAP).However,in evergreen species,the gmin decreased significantly with the decrease of MAP in distribution area,indicating that reducing gmin was an adaptation strategy to drought adopted by evergreen species(but not deciduous species).In addition,evergreen species had thicker cuticles,which explained the lower gmin.There was significant interspecific variability in gmin of Magnoliaceae species,and it was mainly regulated by cuticle characteristics rather than stomatal characteristics.These would provide a new perspective for revealing the drought adaptation mechanisms of plants.
杜莉;张天海;廖良宁;陈新兰;刘慧;秦新生;梁星云
华南农业大学林学与风景园林学院,广州 510642江西省德兴市林业局,江西 德兴 334200中国科学院华南植物园,广州 510650中国科学院华南植物园,广州 510650中国科学院华南植物园,广州 510650华南农业大学林学与风景园林学院,广州 510642中国科学院华南植物园,广州 510650
叶片最小导度干旱适应策略角质层气孔特征
Minimum leaf conductanceDrought adaptation strategyCuticleStomatal trait
《热带亚热带植物学报》 2026 (3)
278-286,9
国家自然科学基金项目(32171503)广州市科技计划项目(2024A04J4347)资助 This work was supported by the National Natural Science Foundation of China(Grant No.32171503),and the Program for Science and Technology in Guangzhou(Grant No.2024A04J4347).
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