Dorovskikh G N
Parazitologiia. 2005 May-Jun;39(3):221-36.
Component communities of parasites of gudgeon from the ecologically sustainable reservoirs are studied. The general principle of their organization is established. The material had been collected in the basins of Northern Dvina (41 specimens of gudgeon were dissected) and Mezen (55 specimens of gudgeon were dissected) rivers using generally accepted methods. Errors of regression equations for all individual species groups with their subsequent summation were calculate in order to estimate the state of the component community structure. In different seasons of a year the component community of the parasites of gudgeon from the Ertom river has the same structure, which is determined by the ratio of the biomasses of its comprising species, while it is differs in its species composition, biomasses of the species, leading groups of parasites, and in the dominating species. Thus, several stable seasonal states of the communities of fish parasites can be supposed. Three groups of species distinguished by the ratio of their biomasses are the general for the component communities of the parasites of gudgeon from the basins of Northern Dvina and Mezen rivers. The generalist species is more frequently the dominating species. The group of autogenic species always leads in the community. When methods of parasites collection are violated, the decrease in the number of species groups down to two is recorded. When the materials collected in different periods of a year from an ecologically sustainable reservoir are mixed, the sum of the errors of regression equations become higher than 0.250.
对来自生态可持续水库的 gudgeon 寄生虫的组成群落进行了研究。确定了它们组织的一般原则。使用普遍接受的方法在北德维纳河(解剖了 41 条 gudgeon 标本)和梅津河(解剖了 55 条 gudgeon 标本)流域收集了材料。计算了所有单个物种组的回归方程误差及其随后的总和,以估计组成群落结构的状态。在一年的不同季节,埃尔托姆河 gudgeon 寄生虫的组成群落具有相同的结构,这由其组成物种的生物量比例决定,但其物种组成、物种生物量、主要寄生虫群体以及优势物种有所不同。因此,可以推测鱼类寄生虫群落存在几种稳定的季节状态。以北德维纳河和梅津河流域 gudgeon 寄生虫组成群落为例,按生物量比例区分的三类物种具有普遍性。广布种更常成为优势种。自生种群体在群落中总是占主导地位。当违反寄生虫收集方法时,记录到物种组数量减少到两个。当将一年中不同时期从生态可持续水库收集的材料混合时,回归方程误差之和会高于 0.250。