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GIS支持下考洲洋养殖水域浮游植物数量的时空分布及其与营养盐的相关性研究
引用本文:蔡文贵,李纯厚,林钦,贾晓平,杨美兰,张汉华.GIS支持下考洲洋养殖水域浮游植物数量的时空分布及其与营养盐的相关性研究[J].生态学杂志,2005,24(5):513-517.
作者姓名:蔡文贵  李纯厚  林钦  贾晓平  杨美兰  张汉华
作者单位:中国水产科学研究院南海水产研究所农业部渔业生态环境重点开放实验室,广东省渔业生态环境重点实验室,广州,510300
基金项目:广东省惠州市海洋渔业资源评价与规划项目(1998),广东省自然科学基金项目(033101),农业部渔业生态研究重点开放实验室开放基金(20031),农业部海洋与河口渔业重点开放实验室开放基金(开0307)。
摘    要:在GIS和统计分析软件SPSS的支持下,利用数据插值、相关性分析和回归分析等方法,研究了枯水期和丰水期考洲洋养殖水域浮游植物数量的分布趋势及其与海水营养盐的相关关系。结果表明,枯水期浮游植物数量的分布较为均匀,其密集区分布于吉隆河口及其附近水域;而丰水期的数量变化幅度较大,密集分布区出现在湾口至盐洲岛北部水域,呈现出从湾西北部至湾口水域逐渐增加的分布趋势。两次调查相比,丰水期浮游植物的数量明显高于枯水期。相关性研究结果表明,调查期间浮游植物数量与无机氮和无机磷的相关性均不显著,但与活性硅酸盐呈显著相关,在枯水期两者之间呈显著正相关,而在丰水期则刚好相反,两者之间呈显著负相关。

关 键 词:GIS  SPSS  浮游植物  数据插值  相关性分析  回归分析
文章编号:1000-4890(2005)05-0513-05
修稿时间:2003年5月13日

Horizontal distribution of phytoplankton quantity and the correlation with the nutrients in culturing waters of Kaozhou Bay based on GIS
CAI Wengui,LI Chunhou,LIN Qin,Jia Xiaoping,YANG Meilan,ZHANG Hanhua.Horizontal distribution of phytoplankton quantity and the correlation with the nutrients in culturing waters of Kaozhou Bay based on GIS[J].Chinese Journal of Ecology,2005,24(5):513-517.
Authors:CAI Wengui  LI Chunhou  LIN Qin  Jia Xiaoping  YANG Meilan  ZHANG Hanhua
Abstract:Supported by GIS and SPSS,the horizontal distribution of phytoplankton quantity and its correlation with water nutrients during highstand and lowstand seasons in culturing waters of Kaozhou Bay were studied with data interpolation,correlation analysis and regression analysis methods.The results showed that during the highstand,the distribution of phytoplankton quantity was even with the dense area locating in the estuary of Jilong River,while during the lowstand,it varied greatly with the dense area occurring in the waters from the mouth of the bay to the north of Yanzhou Island,which showed an increasing tendency from the northwest to the mouth of the bay.Comparing the two survey seasons,the phytoplankton quantity during highstand was obviously higher than that in the lowstand.The correlations between phytoplankton quantity and inorganic nitrate or phosphate were not significant,while there was a significant correlation between phytoplankton quantity and silicate which showed positive during the lowstand and negative during the highstand.
Keywords:GIS  SPSS  phytoplankton  data interpolation  correlation analysis  regression analysis  
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