首页> 外文期刊>Agriculture, Ecosystems & Environment: An International Journal for Scientific Research on the Relationship of Agriculture and Food Production to the Biosphere >Environmentally mediated coffee pest densities in relation to agroforestry management, using hierarchical partitioning analyses.
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Environmentally mediated coffee pest densities in relation to agroforestry management, using hierarchical partitioning analyses.

机译:使用分层划分分析,与农林业管理相关的环境介导的咖啡害虫密度。

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摘要

Understanding pest density patterns in the field is important to account for distinct environmental variables potentially influencing populations across different habitat types. Here, we assessed the relative importance of single environmental abiotic and biotic variables on densities of three major coffee pests, i.e., spider mites, leaf miners and berry borers, in simple, complex and abandoned agroforests of coastal Ecuador, using hierarchical partitioning methods. Most of the variation in spider mite and leaf miner densities was accounted for by the abiotic variables temperature and relative humidity, while agroforestry type, relative humidity and tree diversity were more important in explaining densities of berry borers. Furthermore, densities of spider mites and berry borers, but not leaf miners, were affected by agroforestry type, with lower densities in structurally complex agroforests. In conclusion, very different environmental variables influence coffee pest population density. Understanding such species density-environmental relationships provide insights on how to predict and manage populations in the field.
机译:了解田间有害生物密度模式对于解释可能影响不同生境类型种群的独特环境变量很重要。在这里,我们使用分层划分方法,评估了厄瓜多尔沿海简单,复杂和废弃农林中单一环境非生物和生物变量对三种主要咖啡害虫(即蜘蛛螨,矿工和浆果蛀虫)的密度的相对重要性。非生物变量温度和相对湿度解释了叶螨和矿工密度的大部分变化,而农林类型,相对湿度和树木多样性对于解释bore虫的密度更为重要。此外,农林类型影响红蜘蛛和bore虫的密度,而不是矿工的密度,而结构复杂的农林的密度较低。总之,非常不同的环境变量会影响咖啡害虫的种群密度。了解此类物种密度与环境之间的关系可以提供有关如何预测和管理田间种群的见解。

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