Panassiti Bernd, Breuer Michael, Marquardt Stacey, Biedermann Robert
State Institute of Viticulture and Oenology, Freiburg, Germany.
Bull Entomol Res. 2013 Dec;103(6):621-33. doi: 10.1017/S0007485313000163. Epub 2013 Apr 29.
Species distribution models (SDMs), which are well established in many fields of biological research, are still uncommon in the agricultural risk analysis of pest insects. To exemplify the use of SDMs, we investigated the influence of environmental factors on the occurrence of Hyalesthes obsoletus Signoret (Hemiptera: Cixiidae). The planthopper is the only known vector of the grapevine yellows disease 'bois noir'. The study was conducted in 145 locations in the Baden region of southwest Germany. The planthopper was surveyed on host plant patches, consisting of stinging nettle and/or bindweeds. We used a stratified modelling framework where (1) species presence-absence data were related to an extensive environmental dataset using logistic regressions; and (2) different types of average models were developed based on an information theoretic method. The results show that the incidence of H. obsoletus is associated to above- as well as below-ground environmental factors, particularly to the amount of fine soil and average annual precipitation. This result was consistent across all average models. The relative importance of other environmental variables was dependent upon the average model under consideration and thus may vary according to their intended use, either the explanation of habitat requirements or the prediction and mapping of occurrence risks. The study showed that SDMs offer a quantification of species' habitat requirements and thus, could represent a valuable tool for pest management purposes. By providing examples of current issues of grapevine pests in viticulture, we discuss the use of SDMs in agricultural risk analysis and highlight their advantages and caveats.
物种分布模型(SDMs)在许多生物学研究领域已得到广泛应用,但在害虫的农业风险分析中仍不常见。为举例说明SDMs的应用,我们研究了环境因素对葡萄根瘤蚜(半翅目:蜡蝉科)发生的影响。这种叶蝉是葡萄黄化病“黑木病”唯一已知的传播媒介。研究在德国西南部巴登地区的145个地点进行。在由荨麻和/或旋花组成的寄主植物斑块上对叶蝉进行了调查。我们使用了一个分层建模框架,其中(1)利用逻辑回归将物种存在与否的数据与一个广泛的环境数据集相关联;(2)基于信息论方法开发了不同类型的平均模型。结果表明,葡萄根瘤蚜的发生率与地上和地下环境因素有关,特别是与细土量和年均降水量有关。这一结果在所有平均模型中都是一致的。其他环境变量的相对重要性取决于所考虑的平均模型,因此可能会根据其预期用途而有所不同,无论是对栖息地需求的解释还是对发生风险的预测和绘图。该研究表明,SDMs提供了对物种栖息地需求的量化,因此可能成为害虫管理的一种有价值的工具。通过提供葡萄栽培中当前葡萄害虫问题的例子,我们讨论了SDMs在农业风险分析中的应用,并强调了它们的优点和注意事项。