详细信息
Comparison of phylobetadiversity indices based on community data from Gutianshan forest plot ( SCI-EXPANDED收录) 被引量:17
文献类型:期刊文献
中文题名:Comparison of phylobetadiversity indices based on community data from Gutianshan forest plot
英文题名:Comparison of phylobetadiversity indices based on community data from Gutianshan forest plot
作者:Feng Gang[1,2] Zhang JinLong[1,2] Pei NanCai[3] Rao MiDe[4] Mi XiangCheng[1] Ren HaiBao[1] Ma KePing[1]
第一作者:Feng Gang
通信作者:Mi, XC[1]
机构:[1]Chinese Acad Sci, State Key Lab Vegetat & Environm Change, Inst Bot, Beijing 100093, Peoples R China;[2]Chinese Acad Sci, Grad Univ, Beijing 100049, Peoples R China;[3]Chinese Acad Forestry, Res Inst Trop Forestry, Guangzhou 510520, Guangdong, Peoples R China;[4]Zhejiang Normal Univ, Coll Chem & Life Sci, Jinhua 321004, Peoples R China
年份:2012
卷号:57
期号:6
起止页码:623-630
中文期刊名:科学通报:英文版
外文期刊名:CHINESE SCIENCE BULLETIN
收录:;Scopus(收录号:2-s2.0-84856236511);WOS:【SCI-EXPANDED(收录号:WOS:000299924600011)】;
基金:We thank Dr. Nathan Swenson for his insightful suggestions on this manuscript, Liu Xiaojuan, Man Xingxing and Song Kai for their help with data processing. Dr. Liwen Zhang supplied the soil data and a number of teachers and workmates also assisted in the Gutianshan 24 ha plot. We also thank Christine Verhille, University of British Columbia, for her assistance with English language and grammatical editing of the manuscript. This work was supported by Key Innovation Project of Chinese Academy of Sciences (KZCX2-EW-Z-5) and National Natural Science Foundation of China (31170401).
语种:英文
中文关键词:古田山;社区;国家级自然保护区;基础;小区;森林;生态意义;物种丰富度
外文关键词:Scale; abundance; correlation; spatial pattern; distance decay
分类号:Q178.535;S718.7
摘要:Phylobetadiversity incorporates phylogenetic information and beta diversity,and can account for the ecological similarities between communities with a phylogenetic perspective.Although different phylobetadiversity indices reflect differences in different characteristics between communities,the results of different phylobetadiversity indices are not comparable.In this study we examined phylobetadiversity indices for a 24-hm 2 plot in the Gutianshan National Nature Reserve.It was found the abundanceweighted D pw was almost identical to Rao's D of Rao's quadratic entropy.PhyloSor had a similar ecological meaning and algorithm to UniFrac.Although Dnn was different in definition from UniFrac and PhyloSor,they were all strongly correlated.The effect of species abundance on phylobetadiversity was not significant when scales were relatively small,but was significant at larger scales.These contrasts likely resulted from reductions in evenness in communities as scales increased.P ST and Rao's H better reflected the distance-decay changes caused by spatial and habitat variation than other indices at larger scales,whereas AW-D nn and D nn better reflected these changes at small scales.
Phylobetadiversity incorporates phylogenetic information and beta diversity, and can account for the ecological similarities between communities with a phylogenetic perspective. Although different phylobetadiversity indices reflect differences in different characteristics between communities, the results of different phylobetadiversity indices are not comparable. In this study we examined phylobetadiversity indices for a 24-hm(2) plot in the Gutianshan National Nature Reserve. It was found the abundance-weighted D (pw) was almost identical to Rao's D of Rao's quadratic entropy. PhyloSor had a similar ecological meaning and algorithm to UniFrac. Although D (nn) was different in definition from UniFrac and PhyloSor, they were all strongly correlated. The effect of species abundance on phylobetadiversity was not significant when scales were relatively small, but was significant at larger scales. These contrasts likely resulted from reductions in evenness in communities as scales increased. P (ST) and Rao's H better reflected the distance-decay changes caused by spatial and habitat variation than other indices at larger scales, whereas AW-D (nn) and D (nn) better reflected these changes at small scales.
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