Department of Biology, Eastern Mennonite University, 1200 Park Road, Harrisonburg, VA, 22802, USA.
Department of Biology and Environmental Science, Bridgewater College, 402 East College Street, Bridgewater, VA, 22812, USA.
Sci Rep. 2024 Jul 30;14(1):17521. doi: 10.1038/s41598-024-67372-4.
Determining movement parameters for pest insects such as tephritid fruit flies is critical to developing models which can be used to increase the effectiveness of surveillance and control strategies. In this study, harmonic radar was used to track wild-caught male Queensland fruit flies (Qflies), Bactrocera tryoni, in papaya fields. Experiment 1 continuously tracked single flies which were prodded to induce movement. Qfly movements from this experiment showed greater mean squared displacement than predicted by both a simple random walk (RW) or a correlated random walk (CRW) model, suggesting that movement parameters derived from the entire data set do not adequately describe the movement of individual Qfly at all spatial scales or for all behavioral states. This conclusion is supported by both fractal and hidden Markov model (HMM) analysis. Lower fractal dimensions (straighter movement paths) were observed at larger spatial scales (> 2.5 m) suggesting that Qflies have qualitatively distinct movement at different scales. Further, a two-state HMM fit the observed movement data better than the CRW or RW models. Experiment 2 identified individual landing locations, twice a day, for groups of released Qflies, demonstrating that flies could be tracked over longer periods of time.
确定像桔小实蝇这样的害虫昆虫的运动参数对于开发可以提高监测和控制策略有效性的模型至关重要。在这项研究中,谐波雷达被用于追踪在木瓜田中捕获的野生雄性昆士兰实蝇(Qfly)。实验 1 连续追踪了被刺激以诱导运动的单个苍蝇。该实验中 Qfly 的运动比简单随机游走(RW)或相关随机游走(CRW)模型预测的均方根位移更大,这表明从整个数据集得出的运动参数根本不能充分描述个体 Qfly 在所有空间尺度或所有行为状态下的运动。这一结论得到了分形和隐马尔可夫模型(HMM)分析的支持。在较大的空间尺度(>2.5 m)上观察到较低的分形维数(更直的运动路径),这表明 Qfly 在不同尺度上具有定性上不同的运动。此外,与 CRW 或 RW 模型相比,双状态 HMM 更适合观察到的运动数据。实验 2 确定了每天两次释放 Qfly 群的个体着陆位置,证明可以在更长的时间内跟踪苍蝇。