Steinke Dirk, Perez Kate Hj, Prosser Sean W J, Sones Jayme E, Agda Jireh Ra, deWaard Stephanie L, deWaard Jeremy R, Zakharov Evgeny V, Ratnasingham Sujeevan, Hebert Paul D N, Fryxell John
Centre for Biodiversity Genomics, University of Guelph, Guelph, Canada Centre for Biodiversity Genomics, University of Guelph Guelph Canada.
University of Guelph, Guelph, Canada University of Guelph Guelph Canada.
Biodivers Data J. 2025 Jun 19;13:e158459. doi: 10.3897/BDJ.13.e158459. eCollection 2025.
Metabarcoding can generate large numbers of georeferenced occurrence data from bulk samples at low cost. Its integration into the practice of agricultural invertebrate biomonitoring currently lacks both standard methods and example datasets that allow the identification of potential challenges and uncertainties.
For this study, we gathered metabarcoding data of terrestrial arthropods from Malaise trap samples across sites in southern Ontario, spanning a gradient from high production, intensely farmed areas to alternative land use farms with varying amounts of natural restoration of marginal lands. The result is one of the largest datasets available for comparison of how agricultural practices influence arthropod biodiversity.
元条形码技术能够以低成本从大量样本中生成大量带有地理参考的出现数据。目前，将其整合到农业无脊椎动物生物监测实践中既缺乏标准方法，也缺乏可用于识别潜在挑战和不确定性的示例数据集。
在本研究中，我们收集了安大略省南部各地马氏网诱捕样本中陆生节肢动物的元条形码数据，涵盖了从高产、集约化养殖区到具有不同程度边缘土地自然恢复的替代土地利用农场的梯度范围。该结果是可用于比较农业实践如何影响节肢动物生物多样性的最大数据集之一。
