摘要
灌木在荒漠化防治和植被恢复中发挥着重要作用,特别是在应对气候变化引发的干旱方面.然而,沙漠灌木通过形态和解剖结构特征适应干旱环境的机制仍不清楚.对乌兰布和沙漠10种常见植物在干旱胁迫环境下的叶片压力-容积(PV)曲线水分参数、叶片解剖和结构等特征及其适应机制进行研究.结果显示:(1)10种植物在PV曲线水分参数(PV性状)和解剖特征差异显著.(2)C3植物和C4植物在PV性状、叶片厚度、角质层厚度、比叶面积(SLA)和叶干物质含量(LDMC)等方面存在显著差异.C3植物的失膨点水势(Ψtlp)和饱和含水时的渗透势(Ψ0)值较高,但叶片水容(Cleaf)较低.C3植物的叶片厚度和角质层厚度显著低于C4植物,而SLA和LDMC显著高于C4植物.(3)叶片厚度、栅栏组织和海绵组织与Ψtlp、Cleaf和弹性模量(ε)等PV性状之间存在显著相关关系,并且不同光合作用途径植物叶片解剖特征与PV性状之间的关系表现出差异.
Abstract
Shrubs play a crucial role in desertification control and vegetation restoration,especially under the in-fluence of drought induced by climate change.However,the morphological and anatomical characteristics of des-ert shrubs and their adaptation mechanisms remain unclear.In this study,ten common plant spieces were selected from the same site conditions in the Ulan Buh Desert,and were classified into C3 and C4 plants based on their photosynthetic pathways.We investigated the leaf PV curve water parameters of the plants under drought stress,as well as their leaf anatomy,structure,and adaptation mechanisms.Our results indicate that:(1)There is sig-nificant interspecific variation among the ten woody plants in terms of their PV traits and anatomical characteris-tics.(2)There are significant differences between C3 and C4 plants in PV traits,leaf thickness,cuticle thick-ness,specific leaf area(SLA),and leaf dry matter content(LDMC).C3 plants exhibit higher values of turgor loss point(Ψtlp)and osmotic potential at full turgor(Ψ0),but lower leaf water capacity(C1eaf)compared to C4 plants.The leaf thickness and cuticle thickness of C3 plants are significantly lower than those of C4 plants,while SLA and LDMC are significantly higher in C3 plants.(3)There are significant correlations between leaf thick-ness,mesophyll structure,and Ψtlp,Cleaf,and modulus of elasticity(ε)among PV traits.Moreover,the relation-ship between leaf anatomical characteristics and PV traits varies among plants with different photosynthetic path-ways.
基金项目
中央引导地方科技发展资金项目(2021ZY0058)
内蒙古自治区自然科学基金项目(2023QN03008)
内蒙古自治区自然科学基金项目(2024MS03038)
国家自然科学基金项目(32001374)
国家自然科学基金项目(32101595)
维普
万方数据