Onufrieva Ksenia S, Onufriev Alexey V
Department of Entomology, Virginia Tech, Blacksburg, VA 24061, USA.
College of Agriculture and Life Sciences Center for Advanced Innovation in Agriculture, Virginia Tech, Blacksburg, VA 24061, USA.
Insects. 2021 Oct 13;12(10):932. doi: 10.3390/insects12100932.
Knowledge of insect population density is crucial for establishing management and conservation tactics and evaluating treatment efficacies. Here, we propose a simple and universal method for estimating the most probable absolute population density and its statistical bounds. The method is based on a novel relationship between experimentally measurable characteristics of insect trap systems and the probability to catch an insect located a given distance away from the trap. The generality of the proposed relationship is tested using 10 distinct trapping datasets collected for insects from 5 different orders and using major trapping methods, i.e., chemical-baited traps and light. For all datasets, the relationship faithfully (R¯=0.91) describes the experiment. The proposed approach will take insect detection and monitoring to a new, rigorously quantitative level. It will improve conservation and management, while driv-ing future basic and applied research in population and chemical ecology.
了解昆虫种群密度对于制定管理和保护策略以及评估防治效果至关重要。在此，我们提出一种简单通用的方法来估计最可能的绝对种群密度及其统计界限。该方法基于昆虫诱捕系统的实验可测量特征与捕获距离诱捕器一定距离处昆虫的概率之间的新关系。使用从5个不同目昆虫收集的10个不同诱捕数据集，并采用主要诱捕方法，即化学诱饵诱捕器和灯光，对所提出关系的普遍性进行了测试。对于所有数据集，该关系都能如实地（R¯ = 0.91）描述实验。所提出的方法将把昆虫检测和监测提升到一个新的、严格定量的水平。它将改善保护和管理，同时推动种群和化学生态学未来的基础研究和应用研究。
