学术论文

      草原植物群落分类方法的比较研究——以呼伦贝尔草原为例

      A comparative study on the classification methods of grassland plant communities: A case of Hulunbuir grassland

      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.
      Abstract:
      Many methods are used in vegetation classification;however,their applications in a single vegetation type are seldom empirically compared.Here,three commonly-used methods,including dominance-type classification,TWINSPAN and UPGMA,were used to classify the communities from 40 sampling sites in Hulunbuir grassland.The dominance-type 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 dominance-type and UPGMA,0.91 between TWINSPAN and UPGMA,and 0.87 between dominance-type and TWINSPAN.The highest coefficient indicated that the results of dominance-type classification and UPGMA were highly consistent.By calculating the variance of species richness,total above-ground biomass and average similarity coefficient of three methods,the cumulative variance of each method was obtained:1131 for dominance-type classification,976.8 for TWINSPAN,and 952.8 for UPGMA.The largest variance suggested that the results of dominance-type method had the highest variation within groups,and thus the results from dominance-type 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 dominance-type 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.
      作者: 杨筑筑 [1] 吕晓涛 [1] 宋彦涛 [2] 贾子金 [2] 乌云娜 [2] 王正文 [1]
      Author: YANG Zhu-zhu [1] L(U) Xiao-tao [1] SONG Yan-tao [2] JIA Zi-jin [2] WU Yun-na [2] WANG Zheng-wen [1]
      作者单位: 中国科学院沈阳应用生态研究所,沈阳110016;中国科学院大学,北京100049 大连民族大学环境与资源学院,辽宁大连,116600
      刊 名: 生态学杂志 ISTICPKU
      年,卷(期): 2017, 36(8)
      在线出版日期: 2017年9月15日
      基金项目: 科技基础性工作专项