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玉树江西林场森林群落植物多样性特征与土壤理化性质耦合关系研究
Coupling relationship between plant diversity characteristics and soil physicochemical properties of forest communities in Jiangxi Forest Farm, Yushu Prefecture
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摘要: 以玉树江西林场川西云杉林、大果圆柏林、红桦林及川西云杉 + 红桦混交林为研究对象,采用物种多样性指数和冗余分析等方法,研究不同群落灌草层的物种多样性特征、土壤理化性质差异及其相互关系。结果表明:4种群落共有种子植物169种(含种下等级),隶属于46科、98属,群落物种数量依次为川西云杉林>大果圆柏林>红桦林>混交林;其中乔木层物种组成单一,1~3种,多样性主要源于灌草层,其中草本层贡献更高。灌木层Shannon-Wiener指数以混交林最高(2.94 ± 0.07),大果圆柏林最低(2.10 ± 0.09),且差异显著,大果圆柏林Margalef指数(0.96 ± 0.01)显著低于其他群落,反映其严苛生境对灌木的环境过滤作用最强。草本层物种多样性在群落类型间无显著差异,且Pielou均匀度在灌草层间差异不显著。4种群落的土壤理化性质差异显著,川西云杉林土壤呈弱酸性(pH=6.37 ± 1.28),有机碳(61.61 ± 13.64) g/kg、全氮(3.40 ± 0.13) g/kg含量最高,且非毛管孔隙度最高(55.06 ± 7.83)%;红桦林全磷(0.63 ± 0.05) g/kg与速效磷(2.66 ± 0.50) mg/kg含量最高;大果圆柏林土壤养分含量普遍最低。土壤容重与有机碳是解释灌草层多样性变异的关键因子,土壤理化性质对多样性的解释率普遍较高(>80%),但主导因子在不同群落类型间存在差异,川西云杉林解释率高(>90%),大果圆柏林灌木层受土壤化学性质影响的解释率低(58.51%),主要受物理性质驱动。红桦林与混交林中土壤含水量和pH的重要性显著上升。Abstract: Taking Picea likiangensis var. rubescens forest, Juniperus tibetica forest, Betula albosinensis forest, and mixed Picea likiangensis var. rubescens + Betula albosinensis forest in Yushu Jiangxi Forest Farm as research subjects, this study adopted species diversity indices and redundancy analysis (RDA) to investigate the characteristics of shrub and herb layer diversity, soil physicochemical properties, and their interrelationships across different communities. The results showed that a total of 169 seed plant species, including infraspecific taxa, belonging to 46 families and 98 genera were recorded across the four communities. Species richness ranked as follows: Picea likiangensis var. rubescens forest > Juniperus tibetica forest > Betula albosinensis forest > mixed forest. The tree layer had low species richness (1~3 species), and diversity was mainly derived from the shrub and herb layers, with a greater contribution from the herb layer. The Shannon-Wiener index of the shrub layer was highest in the mixed forest (2.94 ± 0.07) and lowest in the Juniperus tibetica forest (2.10 ± 0.09), with significant differences among communities. The Margalef index of the Juniperus tibetica forest (0.96 ± 0.01) was significantly lower than that of the other communities, indicating the strongest environmental filtering effect of its harsh habitat on shrubs. No significant differences in herb layer diversity were detected among communities, and Pielou evenness did not differ significantly between shrub and herb layers. Soil physicochemical properties varied significantly among the four communities. The Picea likiangensis var. rubescens forest exhibited weakly acidic soil (pH = 6.37 ± 1.28), the highest organic carbon (61.61 ± 13.64 g/kg) and total nitrogen (3.40 ± 0.13 g/kg) contents, and the highest non-capillary porosity (55.06 ± 7.83%). The Betula albosinensis forest had the highest total phosphorus (0.63 ± 0.05 g/kg) and available phosphorus (2.66 ± 0.50 mg/kg) contents. Soil nutrient levels were generally lowest in the Juniperus tibetica forest. Redundancy analysis showed that soil bulk density and organic carbon were key factors explaining the variation in shrub and herb layer diversity. Soil physicochemical properties collectively explained a high proportion of the diversity variation (>80%), but the dominant factors differed among community types. The explanatory power was relatively high in the Picea likiangensis var. rubescens forest (>90%). In contrast, shrub layer variation in the Juniperus tibetica forest was less explained by soil chemical properties (58.51%) and was mainly driven by physical properties. Soil water content and pH gained significantly higher importance in the Betula albosinensis forest and mixed forest.
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