摘要
为探明二化螟种群分布格局的空间相关性并进而为抽样估计提供依据,从一个原始样本出发,另构建了一个顺序样本和一个随机样本,采用地统计学半变异函数对上述3样本进行分析.结果表明,地统计学半变异函数克服了经典格局分析的局限性,能有效刻划二化螟种群空间分布格局,并表征其聚集强度;二化螟原始样本属聚集分布,在行方向和列方向的聚集强度均较弱,但存在几何异向性,行方向的空间连续性(0.2716)明显高于列方向(0.0867);原始样本行方向和列方向的空间依赖范围分别为1.15m和2.64m.
In order to understand the spatial correlativity of Chilo supressalis, an origin sample and its two construction samples,sequence sample and random sample,are analyzed with geostatistics. Results show that semivariogram can characterize well the spatial distribution pattern and congregation intensity of Chilo supressalis.As for origin sample,the population distribute in a clump pattern with a weak aggregated intensity both in line and row direction. The dependence ranges are 1.15 m and 2.64 m in line and row direction respectively, with the spatial correlativity in line direction more than that in row direction.
出处
《湖南农业大学学报（自然科学版）》
CAS
CSCD
北大核心
2003年第2期154-157,共4页
Journal of Hunan Agricultural University(Natural Sciences)
基金
湖南农业大学作物学博士后流动站资助项目
关键词
二化螟种群
空间格局
地统计学
半变异函数
稻
虫害
Chilo supressalis
spatial distribution pattern
geostatistics
semivariogram
