【摘要】 选取黑河流域中游荒漠区14种优势植物,测定了8个叶片水分与功能性状指标:稳定碳同位素组成(δ13C)、总含水量(TWC)、相对含水量(RWC)、干重含水量(DWWC)、叶干物质含量(LDMC)、叶片水势(LWP)、比叶面积(SLA)、比叶体积(SLV),探讨荒漠植物叶片水分与功能性状的特征以及相互之间的内在联系,探寻反映荒漠植物适应严酷环境的典型叶性状特征。结果表明:C4植物珍珠猪毛菜、梭梭、沙拐枣的δ13C值变化范围在–18‰～–15‰,其余的C3植物变化范围在–29‰～–24‰,其中花棒的δ13C值最小,为–28.34‰,红砂最大,为–24.63‰;对C3荒漠植物叶性状之间相关性分析显示,SLV与LDMC之间呈极显著负相关(P<0.01),与TWC、DWWC之间呈极显著正相关(P<0.01),SLA与LDMC之间呈显著负相关(P=0.02),δ13C与LWP之间呈极显著负相关(P<0.01)。SLV可以作为反映荒漠植物叶性状特征的重要指标,叶片水分及功能性状之间所呈现的特征及其对生境的响应都综合表现出荒漠植物的生态应对策略和适应途径。更多还原

【Abstract】 Selected 14 dominant desert plant species in the middle reaches of Heihe River Basin, and 8 foliar water and leaf functional traits including stable carbon isotope composition (δ13C), total water content (TWC), relative water content (RWC), dry weight water content (DWWC), leaf dry matter content (LDMC), leaf water potential (LWP), specific leaf area (SLA) and specific leaf volume (SLV) were measured, studying on the charac-teristics and relationships of leaf functional traits of desert plants, and finding typical and crucial leaf functional traits which reflect plant adaptations to the harsh environment. The present results showed that foliar δ13C values of C4 plants ranged from –18‰～–15‰, including Salsola passerina, Haloxylon ammodendron and Calligo-num mongolicum, and foliar δ13C values of the other C3 plants ranged from –29‰～–24‰. Among them, δ13C values of Hedysarum scoparium and Reaumuria soongorica exhibited the minimum and maximum values of –28.34‰ and –24.63‰, respectively. The relationship between the traits obtained from C 3 plants revealed that SLV was significantly negatively correlated with LDMC (P<0.01), and positively correlated with TWC and DWWC (P<0.01). SLA was negatively correlated with LDMC (P=0.02), and δ13C was negatively correlated with LWP (P<0.01). SLV may serve as a key index of the characteristics of leaf traits of desert plants. Both the characteristics of leaf water content and functional traits and the responses to habitats demonstrate ecological strategies and adaptive ways of desert plants.更多还原