水生生物学报
水生生物學報
수생생물학보
ACTA HYDROBIOLOGICA SINICA
2010年
1期
43-50
,共8页
龚珞军%张仕萍%熊邦喜%刘定柱%李金忠%曹军
龔珞軍%張仕萍%熊邦喜%劉定柱%李金忠%曹軍
공락군%장사평%웅방희%류정주%리금충%조군
浮游动物%浮游植物%主成分分析%因子分析%聚类分析
浮遊動物%浮遊植物%主成分分析%因子分析%聚類分析
부유동물%부유식물%주성분분석%인자분석%취류분석
Phytoplankton%Zooplankton%CA%FA%Lake%PCA
为深入了解湖泊环境生态系统的变化规律,为湖泊渔业和湖泊管理提供基础数据,于2007年夏季测定了武汉市梁子湖、斧头湖、柴泊湖、南湖和野芷湖5个养殖湖泊的浮游生物的数量和生物量.利用SPSS软件,对5个湖泊浮游植物6个门和浮游动物4个类的数量和生物量进行了主成分分析和因子分析.主成分分析和因子分析的结果是不相同的,其原因是两种方法的差异所致.两种方法结合使用,将有效地提高分析结果的准确度.分析结果表明,影响5个湖浮游生物的第1至第6个主成分分别为枝角类桡足类数量和重量因子、轮虫数量重量和绿藻门数量因子、隐藻门数量和重量因子、原生动物数量和重量因子、蓝藻门数量因子、硅藻门数量和绿藻门重量因子.使用SPSS软件,对5个湖泊13个点的浮游生物的数量和生物量予以了层次聚类法,并将5个湖泊的13个点分为5类,即梁子湖和斧头湖敞水区的3号和5号点为一类;梁子湖和斧头湖同拦养殖区的1号和4号点,以及梁子岛附近的2号点为一类;柴泊湖的6、7、8号3个点为一类;南湖原排污口附近的10号点为一类;南湖与野芷湖的其他9、11、12和13号4个点为一类.经分析认为,形成这个结果是由城市废水、生活污染水和养殖生产所致.
為深入瞭解湖泊環境生態繫統的變化規律,為湖泊漁業和湖泊管理提供基礎數據,于2007年夏季測定瞭武漢市樑子湖、斧頭湖、柴泊湖、南湖和野芷湖5箇養殖湖泊的浮遊生物的數量和生物量.利用SPSS軟件,對5箇湖泊浮遊植物6箇門和浮遊動物4箇類的數量和生物量進行瞭主成分分析和因子分析.主成分分析和因子分析的結果是不相同的,其原因是兩種方法的差異所緻.兩種方法結閤使用,將有效地提高分析結果的準確度.分析結果錶明,影響5箇湖浮遊生物的第1至第6箇主成分分彆為枝角類橈足類數量和重量因子、輪蟲數量重量和綠藻門數量因子、隱藻門數量和重量因子、原生動物數量和重量因子、藍藻門數量因子、硅藻門數量和綠藻門重量因子.使用SPSS軟件,對5箇湖泊13箇點的浮遊生物的數量和生物量予以瞭層次聚類法,併將5箇湖泊的13箇點分為5類,即樑子湖和斧頭湖敞水區的3號和5號點為一類;樑子湖和斧頭湖同攔養殖區的1號和4號點,以及樑子島附近的2號點為一類;柴泊湖的6、7、8號3箇點為一類;南湖原排汙口附近的10號點為一類;南湖與野芷湖的其他9、11、12和13號4箇點為一類.經分析認為,形成這箇結果是由城市廢水、生活汙染水和養殖生產所緻.
위심입료해호박배경생태계통적변화규률,위호박어업화호박관리제공기출수거,우2007년하계측정료무한시량자호、부두호、시박호、남호화야지호5개양식호박적부유생물적수량화생물량.이용SPSS연건,대5개호박부유식물6개문화부유동물4개류적수량화생물량진행료주성분분석화인자분석.주성분분석화인자분석적결과시불상동적,기원인시량충방법적차이소치.량충방법결합사용,장유효지제고분석결과적준학도.분석결과표명,영향5개호부유생물적제1지제6개주성분분별위지각류뇨족류수량화중량인자、륜충수량중량화록조문수량인자、은조문수량화중량인자、원생동물수량화중량인자、람조문수량인자、규조문수량화록조문중량인자.사용SPSS연건,대5개호박13개점적부유생물적수량화생물량여이료층차취류법,병장5개호박적13개점분위5류,즉량자호화부두호창수구적3호화5호점위일류;량자호화부두호동란양식구적1호화4호점,이급량자도부근적2호점위일류;시박호적6、7、8호3개점위일류;남호원배오구부근적10호점위일류;남호여야지호적기타9、11、12화13호4개점위일류.경분석인위,형성저개결과시유성시폐수、생활오염수화양식생산소치.
In order to understand the change regularity of the lake ecosystem deeply and provide basic data for lake fishery and management, the author measured the plankton in five aquaculture lakes, Liangzi Lake, Futou Lake, Chaipo Lake, Nanhu Lake and Yezhi Lake respectively, in Wuhan in summer 2007. SPSS was used for principal component analysis and factor analysis of quantity and biomass of six phyla of phytoplankton and four species of zooplankton of five lakes. Two analysis results were different, which was attributed to the difference between two methods. The combination of the above methods would effectively improve the accuracy of analysis result. The result indicated that the first principal component of planktons of the 5 lakes was cladocera and copepod quantitative and gravimetric factors;the second was rotifer quantitative and gravimetric factors and chlorophyta quantitative factor; the third was cryptophyta quantitative and gravimetric factors; the fourth was protozoan quantitative and gravimetric factors; the fifth was cyanophyta quantitative factor; and the sixth was euglenophyta quantitative and chlorophyta gravimetric factors. In addition,SPSS was also used for hierarchical clustering of quantity and biomass of each phylum and species of plankton of the five lakes, and 13 points were divided into five categories, that is, Points 3 and 5 of open water zones of Liangzi Lake and Futou Lake belonged to one category; Points 1 and 4 of enclosed aquaculture zones of Liangzi Lake and Futou Lake and Point 2 near Liangzi Island belonged to one; Points 6, 7 and 8 of Chaipo Lake belonged to one; Point 10 near the sewage drainage outlet of Nanhu Lake belonged to one; and Points 9, 11, 12 and 13 of Nanhu Lake and Yezhi Lake belonged to one. According to the analysis, the above results are caused by urban wastewater, domestic wastewater and aquaculture production.