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1996年5月上旬至下旬,在山西运城地区临猗县,选择高水肥及中水肥棉田进行蜘蛛混合种群空间格局的调查分析。用经典频次法分析,大部分样本符合负二项分布,少数样本有多解和无解现象。9种聚集指标结果均符合聚集分布型,聚类分析结果表明,9种指标可按其性质分成3类。Iwao M~＃-m模型为M~＃=3.5151+1.4765 m,改进的M~＃-M模型为M~＃=2.6423+1.9587 m-0.0246 m~2,Taylor的幂法则式为S~2=22.089M~(2.6466),其结果均为聚集分布。应用以上分析结果,建立棉田蜘蛛混合种群调查的简化抽样方案。用零样出现的百分率来估计百株蜘蛛数量的指数回归式为:P_O=(0.6011/(0.6011+m)~(0.6011);用有蜘蛛的株率来估计百株蛛量,则用以下指数回归式:Y=256.52~(1.5345)。
From early May to late May 1996, a survey was conducted on the spatial pattern of spider mixed populations in Lintao County, Yuncheng, Shanxi Province. With the classical frequency analysis, most of the samples conform to the negative binomial distribution, and the minority samples have more solutions and no solutions. The results of the 9 kinds of aggregation indexes are in accordance with the aggregation distribution type. The results of cluster analysis show that the 9 kinds of indexes can be divided into 3 types according to their characteristics. The improved M ~ # -M model is M ~ # = 2.6423 + 1.9587 m-0.0246 m ~ 2, Taylor’s power law formula is S ~ 2 = 22.089M ~ (2.6466), the results are aggregated distribution. Based on the above analysis results, a simplified sampling scheme for investigation of spider mixed populations in cotton fields was established. The exponential regression equation for estimating the number of spiders per 100 spikes was as follows: P_O = (0.6011 / (0.6011 + m) ~ (0.6011)); Regression: Y = 256.52 ~ (1.5345).