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Erratum to “Spatial and Climatic Factors Influence Ambrosia Beetle (Coleoptera: Curculionidae) Abundance in Intensively Managed Plantations of Eastern Black Walnut”
Environmental Entomology ( IF 1.7 ) Pub Date : 2020-01-11 , DOI: 10.1093/ee/nvz163
G M Williams , M D Ginzel

Invasive ambrosia beetles are among the most economically important pests of forest and plantation trees worldwide. The development of effective management guidelines for these pests in plantations of high-value hardwood species is hindered by a lack of baseline information regarding their seasonal abundance and dispersal behavior. By analyzing long-term monitoring data from intensively-managed plantations of eastern black walnut (Juglans nigra L.) in north-central Indiana, we identified key spatial and climatic variables that could improve the timing and precision of management actions to reduce ambrosia beetle populations. We also used geospatial analyses to compare species-specific spatial patterns of population density and evaluate the sensitivity of the trap density deployed in our long-term monitoring efforts. Xyleborinus saxesenii Ratzeburg and Xylosandrus crassiusculus Matschulsky (Coleoptera: Curculionidae) were more abundant during the spring in years preceded by a hot, dry growing season, and cold winter. Both species were positively associated with plantation edges during the fall flight period. However, X. saxesenii was less abundant in plantations close to forest corridors, whereas X. crassiusculus was more abundant in plantations closer to woodlots and other walnut plantations. Geospatial analysis revealed X. crassiusculus is active in larger, more spatially continuous patches than X. saxesenii, and that 200-m trap spacing is likely to be sufficient to detect both species in the spring flight period but may be insufficient to detect X. saxesenii during the fall flight period. Our findings underscore the power and utility of long-term monitoring to improve management strategies.

中文翻译:

“空间和气候因素影响东方黑胡桃集约化管理人工林中仙茅(鞘翅目:仙茅科)丰度的勘误表”

入侵的金银花甲虫是世界范围内森林和人工林最重要的经济害虫之一。由于缺乏有关季节性丰度和扩散行为的基线信息,为高价值硬木种植园中的这些害虫制定有效的管理指南受到阻碍。通过分析印第安纳州中北部东部黑胡桃 (Juglans nigra L.) 集约化管理种植园的长期监测数据,我们确定了关键的空间和气候变量,这些变量可以改善管理行动的时机和精度,以减少金银花甲虫种群. 我们还使用地理空间分析来比较特定物种的种群密度空间模式,并评估我们长期监测工作中部署的陷阱密度的敏感性。Xyleborinus saxesenii Ratzeburg 和 Xylosandrus crassiusculus Matschulsky(鞘翅目: Curculionidae)在炎热干燥的生长季节和寒冷的冬季之前的几年里,在春季更为丰富。在秋季飞行期间,这两个物种都与种植园边缘呈正相关。然而,X. saxesenii 在靠近森林走廊的人工林中含量较少,而在靠近林地和其他核桃人工林的人工林中,X. crassiusculus 含量更高。地理空间分析显示 X. crassiusculus 在比 X. saxesenii 更大、空间更连续的斑块中活跃,并且 200 米的陷阱间距可能足以在春季飞行期间检测到这两种物种,但可能不足以检测 X. saxesenii在秋季飞行期间。
更新日期:2020-01-11
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