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本文是仓虫群落生态的初步研究之三,根据1983—1984两年从四川七县(市)进行定时定点系统调查和普查的资料,对仓虫群落的数量分类进行了初步研究。首先,从计算仓虫群落的群落系数入手,对农户、粮店、粮食加工厂、饲料厂及国库等储粮仓虫群落进行了聚类分析。其结果表明:在仓虫结构上、粮店和粮食加工厂、饲料厂、农户等仓虫群落十分相似;农户和饲料厂处于同一水平;而国库则形成一个特殊的仓虫群落,与其它仓虫群落相距较大。其次对上述五种仓虫群落进行了二维极点排序处理。最后,以表征群落结构的三个重要指标一多样性(H~1),均匀度(J~1)和丰富度(r)为三维空间的三个坐标轴,进行了仓虫群落三维排序的初步偿试。其结果与二维排序一致,即各仓虫群落沿三维变差展开的序列是:国库、粮食加工厂、粮店、饲料厂、农户。这与储粮和仓虫在它们之间流动的方向完全一致。因此,可以认为:这样的排序与二维排序和聚类分析一样,都能一致地展示各仓虫群落间仓虫结构的亲疏关系和变化趋势。
This paper is the first study on the habitat ecology of C. trifoliatus. Based on the data from three counties (cities) of Sichuan Province during 1983-1984, the quantitative classification of C. elegans was studied. First, from the calculation of the community coefficient of the warterworm community, cluster analysis was carried out on the insect community in the farmer households, grain stores, grain processing plants, feed mills and state treasury. The results showed that: In the structure of the wolves and worms, grain mills and food processing plants, feed mills and farmers are very similar; the peasant households and feed mills are at the same level; while the treasury forms a special mulch community, Insect communities are far apart. Secondly, two-dimensional pole sorting of the above-mentioned five species of C. elegans was conducted. Finally, the three-dimensional ordination of Cercopithecus spp. Community was carried out on the three axes that represented the three important indexes-diversity (H ~ 1), evenness (J ~ 1) and abundance (r) The initial trial. The results are in accordance with the two-dimensional order, that is, the sequence of each insect community along the three-dimensional variation is: the state treasury, food processing plants, grain stores, feed mills and farmers. This is in full accord with the direction in which grains and worms flow between them. Therefore, it can be considered that, like the two-dimensional sorting and cluster analysis, such a ranking can consistently show the relationship between the species and the relationship between the species and their changing trends.