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利用视频监测评估复杂地面类型对地面节肢动物运动的影响:处理植物残体层下的隐蔽运动。

Assessing the effect of complex ground types on ground-dwelling arthropod movements with video monitoring: Dealing with concealed movements under a layer of plant residues.

作者信息

Collard Blanche, Tixier Philippe, Carval Dominique, Lavigne Claire, Delattre Thomas

机构信息

INRAE Avignon France.

CIRAD, UPR GECO Montpellier France.

出版信息

Ecol Evol. 2022 Jul 11;12(7). doi: 10.1002/ece3.9072. eCollection 2022 Jul.

Abstract

Understanding the effect of ground types on foraging movements of ground-dwelling arthropods is a key step to managing their spatial distribution as required for successful conservation biological control. Indeed, fine movements at the centimeter scale can strongly influence the foraging ability of pest predators. However, because radio frequency identification or harmonic tracking techniques are not yet suitable for small species and video tracking focuses on uniform and light backgrounds, foraging movements have rarely been studied in relation to ground types. We present a method to track a ground-dwelling arthropod (the earwig ) at night, walking on two contrasted ground types: bare soil and soil partly covered with a stratum of banana plant residues allowing individuals to hide periodically. The tracking of individuals within these ground types was achieved by infrared light, tagging individuals, video treatments, and semi-automatic cleaning of trajectories. We tested different procedures to obtain segments with identical durations to quantify speeds and sinuosities. These procedures were characterized by the junction time gap between trajectory fragments, the rediscretization time of trajectories, and whether or not to use interpolation to fill in missing points in the trajectories. Earwigs exhibited significantly slower and more sinuous movements on soil with banana plant residues than on bare soil. Long time gaps for trajectory junction, extended rediscretization times, and interpolation were complementary means to integrate concealed movements in the trajectories. The highest slowdown in plant residues was detected when the procedure could account for longer periods under the residues. These results suggest that earwigs spent a significant amount of time concealed by the residues. Additionally, the residues strongly decreased the earwigs' movement. Since the technical solutions presented in this study are inexpensive, easy to set up, and replicate, they represent valuable contributions to the emerging field of video monitoring.

摘要

了解地面类型对地面节肢动物觅食活动的影响是根据成功的保护生物防治要求管理其空间分布的关键一步。实际上,厘米级的精细活动会强烈影响害虫捕食者的觅食能力。然而,由于射频识别或谐波跟踪技术尚不适用于小型物种,且视频跟踪侧重于均匀和浅色背景,因此很少研究与地面类型相关的觅食活动。我们提出了一种在夜间跟踪一种地面节肢动物(蠼螋)的方法,该动物在两种截然不同的地面类型上行走:裸土和部分覆盖有一层香蕉植物残体的土壤,这些残体使个体能够周期性地隐藏起来。通过红外光、标记个体、视频处理以及轨迹的半自动清理实现了对这些地面类型中个体的跟踪。我们测试了不同的程序以获得持续时间相同的片段来量化速度和曲折度。这些程序的特征在于轨迹片段之间的连接时间间隔、轨迹的重新离散化时间以及是否使用插值来填补轨迹中的缺失点。蠼螋在有香蕉植物残体的土壤上的运动明显比在裸土上更慢且更曲折。轨迹连接的长时间间隔、延长的重新离散化时间和插值是整合轨迹中隐藏运动的互补手段。当程序能够考虑残体下更长时间时,在植物残体中检测到最高的速度减缓。这些结果表明蠼螋在残体下隐藏了大量时间。此外,残体极大地降低了蠼螋的运动速度。由于本研究中提出的技术解决方案成本低廉、易于设置和复制,它们为新兴的视频监测领域做出了宝贵贡献。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4232/9271991/7ea54ec6d429/ECE3-12--g004.jpg

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