摘要
选择植被分类中常用的优势种分类法、TWINSPAN和UPGMA等3种方法对呼伦贝尔草原40个样点进行了群落分类比较。优势种分类法将这40个样点分为16个组,TWINSPAN将其分为10个组,UPGMA将其分为11个组。优势种分类法和UPGMA的结合系数为0.94,TWINSPAN和UPGMA的结合系数为0.91,优势种分类法和TWINSPAN的结合系数为0.87,最高的结合系数表明优势种分类法和UPGMA的分类结果高度一致。通过计算3种方法各分组内的物种丰富度、地面总生物量和平均相似系数的方差,优势种分类法的3项累计方差为1131,TWINSPAN为976.8,UPGMA为952.8。这一结果表明,优势种分类法各分组内部有较大的差异性,其结果需要适当调整,而UPGMA各分组的差异性最小。从累计方差来看,相较于广泛采用的优势种分类法,UPGMA更适于呼伦贝尔草原的植物群落分类研究。本研究结果对于开展我国草原植被分类研究工作具有一定的参考价值。
Many methods are used in vegetation classification; however, their applications in a single vegetation type are seldom empirically compared. Here, three commonlyused methods, including dominancetype classification, TWINSPAN and UPGMA, were used to classify the communities from 40 sampling sites in Hulunbuir grassland. The dominancetype classification divided these communities into 16 groups, while TWINSPAN and UPGMA divided into 10 and 11 groups, respectively. The coherence coefficient was 0.94 between dominancetype and UPGMA, 0.91 between TWINSPAN and UPGMA, and 0.87 between dominancetype and TWINSPAN. The highest coefficient indicated that the results of dominancetype classification and UPGMA were highly consistent. By calculating the variance of species richness, total aboveground biomass and average similarity coefficient of three methods, the cumulative variance of each method was obtained： 1131 for dominancetype classification, 976.8 for TWINSPAN, and 952.8 for UPGMA. The largest variance suggested that the results of dominancetype method had the highest variation within groups, and thus the results from dominancetype classification might need to be adjusted. The difference of within groups for UPGMA was the smallest. Results from the present study indicated that UPGMA should be more suitable for the classification of plant communities in Hulunbuir grassland, compared with the dominancetype classification that was widely used in the previous community classification literature. Our results had great implications for the future research focusing on the vegetation classification of grasslands in China.
出处
《生态学杂志》
CAS
CSCD
北大核心
2017年第8期2375-2384,共10页
Chinese Journal of Ecology
基金
科技基础性工作专项(2014FY210300)资助
