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Spatial analysis of gypsy moth populations in Sardinia using geostatistical and climate models

机译:基于地统计和气候模型的撒丁岛吉卜赛蛾种群空间分析

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1 Spatial fluctuations of the Sardinian population of the gypsy moth Lymantria dispar (L.) (Lepidoptera: Lymantriidae) were characterized using geostatistical and climate models. Data on gypsy moth egg mass abundance recorded at 282 permanent monitoring sites from 1980 to 2004 were incorporated in a geographic information system with the vegetational, geomorphological and pedological features of the sites. 2 Statistical analyses revealed that the relative outbreak frequency was related to the predominant host tree, slope and elevation of the monitoring sites, whereas there was no correlation between outbreak frequency and exposure and soil type. 3 By using bioclimatic modelling, probability maps of gypsy moth outbreaks were generated. The model identified a probability surface with climatic conditions favourable to gypsy moth outbreaks and thus potentially subject to defoliation. The maps included 92 sites where outbreaks never occurred, suggesting that the Sardinian climate may not be a determinant factor for gypsy moth outbreaks. 4 The geostatistical method cokriging with outbreak frequency as a covariate was found to be the most suitable technique to estimate gypsy moth egg mass abundance. Semivariograms showed spatial correlation of egg mass abundance within the range 18.5-53 km. The results obtained were used to create regional gypsy moth distribution maps by cokriging, which demonstrated the outbreak foci and different infestation levels at each monitoring area. These results can help to delimit the treatment areas and develop rational gypsy moth management programmes.
机译:1使用地统计和气候模型表征了吉普赛蛾Lymantria dispar(L。)(鳞翅目:Lymantriidae)的撒丁岛种群的空间波动。 1980年至2004年在282个永久性监测点记录的吉卜赛蛾卵质量丰度数据已纳入具有该点的植被,地貌和生态特征的地理信息系统。 2统计分析表明,相对暴发频率与主要的寄主树,监测点的坡度和海拔高度有关,而暴发频率与暴露和土壤类型之间没有相关性。 3通过使用生物气候模拟,生成了吉普赛蛾暴发的概率图。该模型确定了具有有利于吉普赛蛾爆发的气候条件的概率面,因此有可能发生落叶。这些地图包括从未发生过暴发的92个地点,这表明撒丁岛的气候可能不是吉普赛蛾暴发的决定性因素。 4发现地统计学方法以暴发频率作为协变量进行联合克里格法估计是估计吉普赛蛾卵质量丰度的最合适技术。半变异函数显示鸡蛋质量丰度在18.5-53公里范围内的空间相关性。获得的结果通过共克里金法用于创建吉普赛蛾的区域分布图,该图显示了每个监测区域的疫源和不同的侵染程度。这些结果可以帮助划定治疗区域并制定合理的吉普赛蛾管理方案。

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