摘要
基于GS+软件,应用地统计学方法对大黄枯叶蛾卵的空间分布关系进行研究。结果表明:63.2%的大黄枯叶蛾卵块被产在雌茧上,且卵在沙棘上的平均高度为66.5 cm,卵距最近雌茧的平均距离为22.9 cm;沙棘林中大黄枯叶蛾卵的空间依赖范围为95.782 m,空间变异值为0.680,最佳拟合模型为高斯模型,呈聚集分布;卵块的空间分布模拟结果同雌蛹最为接近,两者在空间分布上存在一定的跟随性。大黄枯叶蛾种群密度深受8月下旬至9月中旬气温与降水的影响。
In recent years,Trabala vishnou gigantina（ Lepidoptera： Lasiocampidae） had caused enormous economic losses in the northwest drought region of China,where Hippophae rhamnoides forests were distributed. As one of the most important defoliators in that area,larvae of T. vishnou gigantina feeding on tender leaves primarily caused damage to the crown layers of the trees. Using Software GS ＋ and geostatistics methods,we investigated the spatial distribution of eggs of T. vishnou gigantina in pure H. rhamnoides forest. Results showed that adult moths preferred to spawn on the female pupae,with an incidence of 63. 2%. Eggs gathered mainly at heights of 66. 5 cm on the tree stems. Average distance between eggs and nearby female pupae was 22. 9 cm. Analysis of isotropic variograms indicated that the distance of spatial dependence of eggs was 95. 782 m,while the intensity of local spatial continuity was 0. 680. Furthermore,semivariogram analysis revealed that the Gaussian model was fitted best to eggs distribution,implying an aggregation distribution. The maps derived from the Kriging interpolation exhibited that the spatial distribution of T. vishnou gigantina eggs was similar to that of the female pupae. Taking climatic factors into consideration,we found that oviposition of T. vishnou gigantina was affected by the temperature and rainfall from late-August to mid-September. This research provided a theoretical basis for controlling T. vishnou gigantina,particularly in predicting their potential distribution areas and future possible population density.
出处
《林业科学》
CAS
CSCD
北大核心
2013年第10期100-105,共6页
Scientia Silvae Sinicae
基金
林业公益性行业科研专项(201004003)
“十二五”国家科技支撑计划项目(2012BAD19B07)
国家自然科学基金项目(31270693)
关键词
大黄枯叶蛾
卵
空间分布
地统计学
气象因子
Trabala vishnou gigantina
eggs
spatial distribution pattern
geostatistics
climatic factors
