Svendsen Anna-Sofie Lützhøft, Nielsen Louise Bach, Schmidt Jakob Braüner, Bruhn Dan, Andersen Line Holm, Pertoldi Cino
Department of Chemistry and Bioscience, Aalborg University, Fredrik Bajers Vej 7H, DK-9220 Aalborg Øst, Denmark.
Department of Zoology, Aalborg Zoo, Mølleparkvej 63, DK-9000 Aalborg, Denmark.
Biology (Basel). 2023 Sep 21;12(9):1272. doi: 10.3390/biology12091272.
Understanding diets and structural food webs are keys to the apprehension of ecological communities, upon which conservation and management biology are based. The understanding of grazing and habitat choice for waterfowl is one of the most important topics for avian ecologists today and can, to some degree, be answered by dietary analysis. Droppings collected from four waterfowl, the Eurasian wigeon (), Greylag goose (), pink-footed goose () and Barnacle goose () in Vejlerne (Denmark), were analysed microscopically and through eDNA metabarcoding with the use of next generation sequencing (NGS) to accumulate knowledge about the diet of these waterfowl. In total, 120 dropping samples were microscopically analysed, of which the eDNA metabarcoding analysis was done on 79 samples. The prey items were identified according to the taxonomic level of species, and a qualitative method, frequency of occurrence (FO) and FO calculated as a percentage, was used in order to compare the results from the two methods. As neither of the methods was able to encompass all species discovered when combining the two methods, it was concluded in this study that the two methods can support each other in a dietary analysis of waterfowl, but not replace one another.
了解食物习性和结构食物网是理解生态群落的关键,而保护生物学和管理生物学正是基于这些生态群落。了解水禽的觅食和栖息地选择是当今鸟类生态学家最重要的课题之一,并且在某种程度上可以通过饮食分析来解答。从丹麦韦勒讷的四种水禽——欧洲绿头鸭、灰雁、粉脚雁和白额雁收集粪便,通过显微镜检查以及利用下一代测序(NGS)的环境DNA宏条形码技术进行分析,以积累有关这些水禽饮食的知识。总共对120份粪便样本进行了显微镜分析,其中79份样本进行了环境DNA宏条形码分析。根据物种的分类水平确定猎物种类,并使用一种定性方法,即出现频率(FO)以及以百分比计算的FO,以便比较两种方法的结果。由于两种方法在结合使用时都无法涵盖所有发现的物种,因此本研究得出结论,在水禽饮食分析中,这两种方法可以相互支持,但不能相互替代。