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科尔沁沙地植物群落分布与土壤特性关系的DCA、CCA及DCCA分析

周欣1,2**,左小安1,赵学勇1,王少昆1,刘川2,张婧1,2,吕朋1,2,张建鹏1,2   

  1. (1中国科学院寒区旱区环境与工程研究所奈曼沙漠化研究站, 兰州 730000; 2中国科学院大学, 北京 100049)
  • 出版日期:2015-04-10 发布日期:2015-04-10

Comparison analyses of DCA, CCA and DCCA on relationships between plant community distribution and soil properties of Horqin Sandy Land.

ZHOU Xin1,2**, ZUO Xiao-an1, ZHAO Xue-yong1, WANG Shao-kun2, LIU Chuan2, ZHANG Jing1,2, LU Peng1,2, ZHANG Jian-peng1,2   

  1. (1Naiman Desertification Research Station, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou 730000, China; 2University of Chinese Academy of Sciences, Beijing 100039, China)
  • Online:2015-04-10 Published:2015-04-10

摘要:

基于科尔沁沙地流动沙丘、半固定沙丘、固定沙丘和草地群落类型24个样地的野外调查,选取11个土壤因子,应用除趋势对应分析法(DCA)、典范对应分析法(CCA)和除趋势典范对应分析法(DCCA)分析沙地植物群落分布与环境因子的关系。结果表明:DCA、CCA和DCCA的物种排序第1轴代表的土壤特性梯度一致,其解释总方差超过33%,即土壤碳氮含量、pH、电导率、容重、粘粉粒等共同的梯度决定了群落生境的变化,影响着沙地植物群落类型的分布格局;3种排序法的物种排序第2轴土壤因子的相关性有较大差异,DCA第2轴仅与土壤细沙含量显著正相关,CCA第2轴与土壤碳氮比和细沙含量显著负相关,DCCA第2轴与土壤碳氮比和细沙含量显著正相关,而与粗沙含量显著负相关。Shannon指数和Simpson指数分别与DCA、CCA和DCCA前2个排序轴存在显著二元线性关系,且Shannon指数的拟合程度好于Simpson指数。3种排序分析方法中,CCA物种排序前两轴的累计解释方差(58.6 %)高于DCA和DCCA,因此CCA排序法更适合于沙地植被分布格局研究及其环境的解释。
 

关键词: 酸性森林土, 氨氧化细菌(AOB), 氮循环, 氨氧化古菌(AOA)

Abstract: Based on the field investigation and laboratory analysis, we analyzed the relationship between plant community distribution and soil properties in four habitats (mobile dune, semifixed dune, fixed dune, and grassland) in Horqin Sandy Land. We also examined the effects of key soil factors on the distribution of 24 plant communities by using three different methods: detrended correspondence analysis (DCA), canonical correspondence analysis (CCA) and detrended canonical correspondence analysis (DCCA). The results showed that the first axes of DCA, CCA and DCCA presented the consistent soil gradient that was related to the soil carbon (C), nitrogen (N), pH, EC, bulk density, silt and clay content, accounting for 33% of total variance of the speciessoil properties relationship. The soil gradient mainly determined the changes of communities’ niche which further affected the distribution pattern of plant community. The second axes of three methods could not express environmental gradient ideally and the correlations with these second axes and soil properties differed greatly. Second axis of DCA only had a significant positive relationship with fine sand content, while the second axis of CCA had a negative relationship with soil C:N ratio and fine sand content. Second axis of DCCA positively correlated with soil C:N ratio and fine sand, but negatively correlated with coarse sand content. Shannon index and Simpson index had significant correlations with the first two axes of DCA, CCA and DCCA, respectively, and the explanation of regression models of Shannon index was better than that of Simpson index. The first two axes of CCA explained 58.6% of speciesenvironment relationship, which was higher than DCA and DCCA did. Our results indicate that CCA performs better in interpreting speciesenvironment relationships than the other two methods.

Key words: ammonia-oxidizing bacteria (AOB), acidic forest soil, ammonia-oxidizing archaea (AOA), N cycling