Automatic Drought Tolerance Measurement of the Soil-Living Microarthropod, Folsomia Candida

László Sipőcz, A. Ittzés, M. Dombos
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Abstract

Soil is a complex habitat where microarthropods, such as mites (Acari) and springtails (Collembola) species occur in high number and species diversity. Microarthropods play an essential role in organic matter decomposition and provide an important ecosystem service in soil. The soil-dwelling microarthropods are sensitive to environmental changes; therefore, their ecological characteristics are used to evaluate soil conditions. In modern environmental ecology, several species are involved in assessing the ecological consequences of drought periods. The growth rate is a standard sublethal parameter by which the body size of individuals is measured. Extracting microarthropods from the soil is difficult and time-consuming, requiring a high amount of human resources. Only a few samples can be processed due to laboratory limitations and high costs. However, nowadays the rapidly developing artificial intelligence (AI) technologies promise new opportunities in many research areas.Data on soil-dwelling microarthropods could be collected quickly and automatically using our new digital soil extractor device, the Edapholog, equipped with image analysis based on AI. This device recognizes living individuals, classifies them, and measures their body length automatically. Using this system, the growth and reproductive success of various species in the same experimental culture could be rapidly and simultaneously monitored. In this study, we aimed to analyse the applicability of the Edapholog for measuring the body size of Collembola species and Folsomia candida through a set of drought tolerance tests with three soil moisture treatment levels. Moisture content was set based on the maximum water holding capacity (Wmax) of the soil applied. The three levels were set to Wmax:35%, 40%, and 50%. Furthermore, we aimed to test the reliability of the detection and recognition of the species and the accuracy and reliability of the automatic body size measurement of individuals.Significant correlation (r= 0.94) exists between the automatically and manually measured body sizes. Although the different soil moisture treatments did not show marked differences in the collembolan body sizes between the moisture treatments, we found a significant difference in the reproduction rates between W50 and the other two (W35 and W40) treated groups. The Edapholog can greatly contribute to quick and precise data extraction and can have vast applicability in environmental ecology.
土生小节肢动物假丝酵母的自动耐旱性测定
土壤是小节肢动物的复杂栖息地,如螨(Acari)和弹尾(弹尾)物种数量和物种多样性都很高。小节肢动物在土壤有机质分解中起着重要作用,提供了重要的生态系统服务。土栖微节肢动物对环境变化敏感;因此,它们的生态特性被用来评价土壤条件。在现代环境生态学中,一些物种参与评估干旱期的生态后果。生长速率是衡量个体体型的标准亚致死参数。从土壤中提取微型节肢动物既困难又耗时,需要大量人力资源。由于实验室的限制和高成本,只能处理少量样品。然而,如今快速发展的人工智能(AI)技术在许多研究领域提供了新的机会。使用我们的新型数字土壤提取设备Edapholog可以快速自动收集土壤微型节肢动物的数据,该设备配备了基于人工智能的图像分析。这个设备可以识别活着的个体,对他们进行分类,并自动测量他们的体长。利用该系统,可以快速、同步地监测同一实验培养中不同品种的生长和繁殖成功率。在本研究中,我们旨在通过三种土壤水分处理水平的一组耐旱性试验,分析Edapholog测量弹线虫和假丝虫体型大小的适用性。含水量根据所施土壤的最大持水量(Wmax)设定。三个水平被设置为Wmax:35%, 40%和50%。在此基础上,进一步验证了物种检测和识别的可靠性以及个体体型自动测量的准确性和可靠性。自动测量的体型与人工测量的体型存在显著相关(r= 0.94)。虽然不同土壤水分处理对蚁体大小的影响不显著,但W50处理与W35和W40处理之间的繁殖率差异显著。Edapholog为快速、精确的数据提取做出了巨大贡献,在环境生态学中具有广泛的适用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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