The Study On The Biochemical Compositions And Energy Content Of Important Biology Resource In The Central And Southern Yellow Sea

The experiment samples were collected by "Bei Dou" number marine scienceresearch ship from bottom trawl surveys in the central and southern Yellow Sea fromApril, 2005 to July, 2006. The samples included important economy fish—Pseudosciaena polyactis, 7 kinds of important prey (Thrissa kammalensis, Coiliamystus,Setipinna taty,Collichthys niveatus,Johnius belengerii,Collichthys fragilis,Apogonichthys lineatus) and 8 kinds of invertebrate (Solenocera sinensis,Crangonaffinis,Palaemon gravieri,Trachypenaeus curvirostris,Squilla oratoria,Charybdisbimaculata,Loligo beka,Loligo japonica). There were all 6374 including 1443Pseudosciaena polyactis (including 110 juveniles), 1607 prey and 3324 vertebrate.In this study, the biochemical compositions and energy content of Pseudosciaenapolyactis, 7 kinds of important prey and 8 kinds of invertebrate were measured.Interspecific, seasonal and geographic difference of biochemical compositions andenergy content were discussed. The results and the conclusion mainly as followed:(1) 16 kinds important biology may be divided 3 groups: the first group includedThrissa kammalensis, Coilia mystus and Setipinna taty. The average of fat and energycontent were 9.11%, 7.46 KJ/g and higher than other kinds. The second groupincluded Pseudosciaena polyactis,Collichthys niveatus,Johnius belengerii,Collichthys fragilis and Apogonichthys lineatus. The average of fat and energycontent were 4.76%, 5.30 KJ/g and relatively lower than the first group. The averageof fat and energy content of invertebrate were lowest among 16 kinds which were1.88%, and 3.84 KJ/g. They belonged to the third group.(2) There were obvious seasonal variation in biochemical compositions andenergy content of various kinds. However, fat and energy content changes were mostremarkable. The extent of seasonal variation of fat content most highly was 130%,and energy content most highly was 58%. The seasonal variation extent of differentkinds differed from one another. The seasonal change usually related to physiologicalactivities such as feeding, growth, wintering and reproduce. The study on seasonalvariation rule helped to go deep into study of energy countermeasure in the ecosystem.At the same time, if this season difference was ignored it would bring very big errorin estimating energy of predator. (3) To 16 kinds important biology, there were two circumstances on geographicaldifference of biochemical compositions and energy content. One kind of differencewas not obvious including Apogonichthys lineatus,Crangon affinis,Trachypenaeuscurvirostris and Squilla oratoria. Another was different remarkably. The geographicaldifference of Coilia mystus and Setipinna taty were most notable. But there wasnotable geographical difference in some index of biochemical compositions for therest kinds. This notable difference showed 2 characteristics:①season effect;②inconsistent region tendentiousness. The reason of remarkable difference was thatthere were different geography community and surrounding in the central andsouthern Yellow Sea. The diversity of prey abundance, salinity and temperature incentral and southern Yellow Sea cause the geography difference of biochemicalcompositions and energy content. In a word, the geographical difference of energycontent did not be ignored when ocean aquatic animal energy ecology was studiedaccurately.(4) There was a significantly inversely linear relationship in Pseudosciaenapolyactis and 7 kinds of prey between water content and fat, energy contentrespectively. And there was a significantly inversely linear relationship in invertebratebetween water content and protein content, energy content. Since this correlativity didnot vary with seasonal and geographic location change, the energy forecast model canbe established by water content to estimate energy content of marine fish orinvertebrate. Judging from quantificational angle, there were 2 circumstances: onewas that the regression equation slope and intercept for marine fish varied little withseasonal variation such as Pseudosciaena polyactis,Coilia mystus,Setipinna taty,Collichthys niveatus,. When energy content was estimated by water content, thefactor of seasonal variation did not be considered. Another was that the regressionequation slope and intercept for marine biology varied largely with seasonal variationsuch as Pseudosciaena polyactis,Thrissa kammalensis,Johnius belengerii,Collichthys fragilis,Apogonichthys lineatus. The effect of seasonal variation must beconsidered during estimating their energy content by water content.