Data Flows for Metabarcoding-based Monitoring in the Project Automated Multisensor Stations for Monitoring of Biodiversity

Biodiversity Information Science and Standards

article

Peter Grobe¹  Birgit Gemeinholzer²  Ameli Kirse¹  Ammar Saeed¹  Sarah J. Bourlat¹ 

[1] LIB - Leibniz Institute for the Analysis of Biodiversity Change;Kassel University

关键词: ASV sequences;    data pipelines;    sequence data;    data duplication;   

DOI  :  10.3897/biss.6.91549

来源: Pensoft

【 摘 要 】

Biodiversity monitoring is an important tool to document rapid ecosystem changes and on-going species loss by collecting high-resolution biodiversity data over long periods of time. Large-scale monitoring provides long-range information on species occurrence, interactions, and migrations. In the German project "Automated Multisensor Stations for Monitoring of BioDiversity" (AMMOD, https://ammod.de/), field stations equipped with different sensors (e.g. acoustic sensors, camera traps, volatile organic compound sensors, pollen and insect traps) are being developed that can be operated largely autonomously. These stations provide continuous data on the occurrence of birds, bats, mammals, insects and plants and associated environmental parameters.Besides the autonomous operation of the stations, a challenge is to master the different requirements that the wide range of sensors bring with them (cf. Wägele et al. 2022). In addition to the detection of fauna and flora by means of sounds, images, films and smells, samples are also collected in malaise and pollen traps with automatically rotating multi samplers. The mixed samples are processed in the laboratory using metabarcoding methods and the resulting sequence data bioinformatically processed into amplicon sequence variants (ASV, Callahan et al. 2017). Unlike data from acoustic sensors or camera traps, which can flow and be analyzed almost entirely automatically, metabarcoding requires a labor-intensive intermediate step in the laboratories at the University of Kassel (pollen) and the LIB (insects).

【 授权许可】

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