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引用本文:杨品红,王志陶,徐黎明.能效渔业状态下津市西湖生态因子与浮游植物密度的灰关联模型{GM(I, N)}.海洋与湖沼,2010,41(3):403-409.
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能效渔业状态下津市西湖生态因子与浮游植物密度的灰关联模型{GM(I, N)}
杨品红1,2,3, 王志陶1,4, 徐黎明2
1.湖南文理学院生命科学学院;2.湖南省水产工程技术研究中心;3.大湖水殖股份有限公司;4.中国科学院水生生物研究所
摘要:
利用灰色系统理论, 于2004—2008 年5—8 月份对能效渔业状态下津市西湖水质状况进行了实时采样研究, 并计算了浮游植物密度与透明度、水温、水深、溶解氧、pH、NH4-N、NO3-N、NO2-N、PO4-P、TP、TN、NH4-N/PO4-P、TN/TP 和浮游动物共14 个生态因子的关联度、关联序。结果表明, 透明度、水温、水深、溶解氧、pH 和浮游动物(毛里湖)或TN(西湖)是影响浮游植物增殖态势的最重要的环境变量。提取如上变量和浮游植物密度作为建模要素, 构建了津市西湖生态因子与浮游植物密度的灰关联模型{GM(I, N)}, 经作图分析表明, 模型值和实测值具有较好的对应峰,表明模型的有效性及在预测上有较高的参考价值。P 元素在西湖的营养限制性基本得到消除, 水体N/P 比被调控到了较好状态。
关键词:  灰关联模型{GM(1, N)}, 灰关联, 生态因子, 浮游植物密度, 津市西湖, 能效渔业
DOI:10.11693/hyhz201003017017
分类号:
基金项目:国家重点星火计划项目, 2003EA770038 号; 湖南省重点攻关项目, 01NKY2004-1 号; 湖南省“十一五”重点建设学科“动物学”项目, 07-A-2 号; 湖南省高校产学研示范基地——水生生物资源与利用, 2008—2010
附件
ENERGY-EFFICIENT FISHERY AND GREY-MODELING OF ECOLOGICAL FACTORS WITH PHYTOPLANKTON DENSITY IN XIHU LAKE, HUNAN
YANG Pin-Hong1,2,3, WANG Zhi-Tao1,4, XU Li-Ming2
1.College of Life Science, Hunan University of Arts and Science;2.Hunan Province Marine Products Engineering Technique Research Center;3.Dahu Aquaculture Co., Ltd.;4.Institute of Hydrobiology, Chinese Academy of Sciences
Abstract:
Energy-efficient fishery, which is aimed at protecting water ecology for the best use of fishery resource, is a branch of energy-cybernetics or energy-biomanipulation technology. In energy-efficient fishery, N and P contents can be manipulated, to meet the breeding equipments of phytoplankton, expand the base of the "bio-pyramid", and increase the plankton’s density substantially. We applied grey models {GM(I, N)} to study the relation between ecological factors and phytoplankton density in the Xihu Lake (29°29′—29°17′N, 111°52′—112°00′E) in Jinshi City of Hunan Province in energy-efficient fishery manner. Fourteen ecological parameters of water environment were selected in the modeling, such as, water transparency, water depth, water temperature, dissolved oxygen, pH, ammonium nitrogen etc. Samples were collected bimonthly between May and August from 2004 to 2008. The results indicate that six factors influence phytoplankton density mostly, in descending order of importance: water depth, pH, dissolved oxygen, water temperature, etc. A grey relative model {GM (1, N)} was established to describe the relationships between the density of phytoplankton and each top six important parameters. The modeled values coincide with the measured values, indicating that this grey model is applicable for the estimation on phytoplankton biomass. The results show that phosphorus in Xihu Lake was no longer the limiting nutritional factor and the ratio of N/P had been turned to a good point under the regime of energy-efficient fishery.
Key words:  Grey model {GM(1, N)}, Grey relation, Ecological factor, Phytoplankton density, Xihu Lake in Hunan, Energy-efficient fishery
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