| Abstract Detail
Biodiversity Informatics & Herbarium Digitization Markley, PT [1], Daru, BH [1]. Analysis of spatiotemporal trends of floristic diversity of the circumpolar Arctic. The Arctic biome is a sparsely populated and challenging system to study. It spans the entirety of the Northern Hemisphere above latitude 66°N. Open-access citizen science biodiversity databases such as the Global Biodiversity Information Facility (GBIF) can facilitate our understanding of the biogeography of the region. However, alterations in the plant community structure induced by anthropogenic climate change are not uniformly documented across the Arctic and across years when using this database. Therefore, present plant diversity trajectories based on data from GBIF and other similar platforms of specimen occurrences in the Arctic may underrepresent the true state of Arctic biodiversity. In this study, we present an investigation of the spatial and temporal trends of the vascular plant species diversity of the circumpolar Arctic covering 5,284 species, and spanning 357 years of botanical sampling. Our preliminary results showed a high collection density around Alaska in United States, and Svalbard in Norway. Across seasons, occurrence records are overrepresented in the summer with peaks around July and August and to a lesser extent in fall and winter. Historically, plant sampling has been very unevenly distributed across years with earlier years showing very sparse records, whereas high density of collecting was observed in the latter half of the twentieth century. Our results will guide future botanical collecting in the Arctic especially in regions of low collection densities such as the Canadian Archipelago and the Russian Far East, and in seasons of low sampling densities such as winter and fall.
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Related Links:
Daru Lab Website
1 - Texas A&M Unversity - Corpus Christi, Life Sciences, 6300 Ocean Drive, Corpus CHristi, TX, 78412, USA
Keywords:
biogeography
GBIF
climate change
biodiversity
Citizen science.
Presentation Type: Poster
Session: P1, Biodiversity Informatics & Herbarium Digitization Posters
Location: Virtual/Virtual
Date: Monday, July 19th, 2021
Time: 5:00 PM(EDT)
Number: P1BI005
Abstract ID:743
Candidate for Awards:None |
