中文摘要：

以广东省11个县区的灌丛为研究对象，基于18个调查点植被群落调查方法获取的数据，分析了广东省灌丛群落的分布、结构、种群的数量特征并明确了生物量计算方法。研究结果如下：1）从区域分布来看，广东省灌丛群落分布广泛，粤北地区灌丛分布面积占广东省灌丛总面积的50％以上。2）广东省灌丛群落主要由灌木层、草本层及层问植物构成，灌木层和层问植物分层不明显。3）从群落组成来看，广东省灌丛群落植物种类组成丰富，但灌丛群落均匀性偏低，具有较高丰富度的种类仅占很少部分，其中，桃金娘Rhodomyrtus tomentosa、岗松Baeckea frutescens、槛木Loropetalum chinense、火棘Pyracantha fortuneana等在群落中占有明显的优势。4）建立了广东省7种灌木优势种的生物量估测模型，回归方程均达到统计上极显著水平（P〈0．01）；其中，Cv（树冠投影体积）和D2H（D基径，日高度）作为自变量，是估测灌丛总生物量的最优指标。研究结果为准确估算广东省灌丛生态系统碳储量及植被保护、土地利用提供了科学依据。

英文摘要：

Shrub communities in 11 counties of Guangdong province were selected as research objects, by applying field vegetation investigation methods, 18 sampling sites were measured, and based on the measured data, the community distribution, structure and quantitative characteristics of the typical shrub communities were analyzed, the method of biomass calculation was determined. The studying results indicate that （1） the shrub communities widely distributed in Guangdong province, and the distribution areas of northern Guangdong accounted for more than 50% of the total distribution area; （2） the shrub community structure was complex in this area, mainly consisted of shrub layer, herbaceous layer and interlayer plants, while the stratification of shrub layer and interlayer was not obvious; （3） the shrub communities were rich in plant species in Guangdong, with the typical characteristics of subtropical flora, and the dominant species are Rhodomyrtus tomentosa, Baeckeafrutescens. and Loropetalum chinense （R. Br.） Oliver etc., occupying a distinct advantage status but in low uniformity, and the species with higher richness occupied only a small part; （4） the biomass regression models for seven dominant shrub species for Guangdong province were developed, the species included R. tomentosa, B. frutescens Linn., L. chinense （R. Br.） Oliver, llex asprella （Hook. et Am.） Champ., Castanopsis eyrei （Champ. ex Benth.） Tutch, Rhododendron simsii Planch and Raphiolepis indica.Cv （crown volume） and/3~H （/9=-ground diameter,/-/--height） were the best independent variables for total biomass estimation. The findings provide an accurate estimation in carbon storage of shrub ecosystems in Guangdong province, and provide scientific support for vegetation protection and land use.