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| 应用PRIMER软件进行浮游植物群落结构的多元统计分析 | |
| 引用本文： | 吴荣军,李瑞香,朱明远,郑家声,郑有飞.应用PRIMER软件进行浮游植物群落结构的多元统计分析[J].海洋与湖沼,2006,37(4):316-321. |
| 作者姓名： | 吴荣军 李瑞香 朱明远 郑家声 郑有飞 |
| 作者单位： | 1. 南京信息工程大学环境科学系,南京,210044 2. 海洋生态环境科学与工程国家海洋局重点实验室,青岛,266061 3. 中国海洋大学生命科学与技术学部,青岛,266003 |
| 基金项目： | 国家重点基础研究发展规划项目,2001CB409702号，国家自然科学基金项目,49876030号，南京信息工程大学科研基金项目,Y307号。 |
| 摘 要： | 根据青岛近海进行的一次添加营养盐的围隔实验数据,采用专业软件PRIMER中的多元统计分析方法,进行了浮游植物群落结构的变化研究。结果表明,虽然由于本实验中浮游植物的生长受到Si的限制,硅藻类群不占明显的优势,使得优势种随时间的变化不明显,没有出现明显的群落演替,但用PRIMER软件的聚类分析(Clustering)和多维尺度转换排序(MDS)分析表明,添加营养盐后浮游植物群落结构有较明显的变化,同时,PRIMER软件的相异系数(ANOSIM)分析也表明,在同时添加N、P的围隔内,浮游植物群落结构变化较只添加P的围隔中的变化显著。这显示了PRIMER软件在分析浮游植物群落结构变化和评价水域富营养化中的应用前景。 |
| 关 键 词： | PRIMER 浮游植物 群落结构 多元统计 |
| 收稿时间： | 2004-10-26 |
| 修稿时间： | 2005-02-28 |
MULTIVARIATE ANALYSIS WITH PRIMER ON MARINE PHYTOPLANKTON COMMUNITY STRUCTURE IN MESOCOSM SYSTEM |
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| WU Rong-Jun,LI Rui-Xiang,ZHU Ming-Yuan,ZHENG Jia-Sheng and ZHENG You-Fei.MULTIVARIATE ANALYSIS WITH PRIMER ON MARINE PHYTOPLANKTON COMMUNITY STRUCTURE IN MESOCOSM SYSTEM[J].Oceanologia Et Limnologia Sinica,2006,37(4):316-321. | |
| Authors: | WU Rong-Jun LI Rui-Xiang ZHU Ming-Yuan ZHENG Jia-Sheng and ZHENG You-Fei |
| Institution: | Department of Environmental Science, Nanjing University of Information Science & Technology, Nanjing, 210044;Key Laboratory of Science and Engineering for Marine Ecology and Environment,State Oceanic Administration, Qingdao, 266061;Key Laboratory of Science and Engineering for Marine Ecology and Environment,State Oceanic Administration, Qingdao, 266061;Division of Life Science and Technology, Ocean University of China, Qingdao, 266003;Department of Environmental Science, Nanjing University of Information Science & Technology, Nanjing, 210044 |
| Abstract: | This paper analyzed the structural change in phytoplankton community in a mesocosm experiment conducted in Qingdao near shore in July, 2002, using PRIMER software packages MDS, ANOSIM and Clustering, which are user-friendly statistic tools from Plymouth Marine Laboratory, to study observational data in community ecology and environmental science with multiple variables and environmental factors. The results indicated, after nutrition salts adding, the structure of phytoplankton community changed more significantly than in the control. Meanwhile, the difference in community structure between phosphate enriched and nitrate-phosphate enriched was not evident. Although the phytoplankton growth in mesocosm was limited by silicate, diatom component was dominant in phytoplankton community, and no significant change in dominant species and no occurrence of community succession were noticed in species component in mesocosm.Variation in daily Bray-Curtis dissimilarity coefficients between the control and phosphate enriched mesocosm, the control and nitrate-phosphate enriched mesocosm were also analyzed. The results indicated, the regression value of dissimilarity coefficients of phytoplankton community with time between the control and nitrate-phosphate enriched mesocosm was 1.2404, which was higher than that between the control and phosphate enriched mesocosm, whose regression value was 0.9831. Simultaneously, the diatom component had the same results too.It is indicated that although the concentration was not high enough duo to insufficient nutrition salt enrichment resulting unclear change in phytoplankton community between nitrate-phosphate enriched and phosphate enriched mesocosm, but with the aid of Bray-Curtis for dissimilarity coefficient change in phytoplankton community, a significant difference in community structure was revealed. Meanwhile, the analyzed results of Bray-Curtis dissimilarity coefficients agreed well with the results using MDS and Clustering. The structural change in phytoplankton community of nitrate-phosphate enriched mesocosm was more significant than the phosphate enriched mesocosm.In conclusion, PRIMER software was an excellent tool in analyzing structural variation of phytoplankton communities and assessing marine eutrophication status. |
| Keywords: | PRIMER Phytoplankton Community structure Multivariate analysis |
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