2023 Early Hearing Detection & Intervention Conference
March 5-7, 2023 • Cincinnati, OH
6/08/2017 | 11:00 AM - 11:15 AM | OPPORTUNISTIC DATA REVEAL WIDESPREAD SPECIES TURNOVER IN A DAMSELFLY GENUS | 302C
OPPORTUNISTIC DATA REVEAL WIDESPREAD SPECIES TURNOVER IN A DAMSELFLY GENUS
A quality vs. quantity trade-off exists among experiments, standardized observational studies, and purely opportunistic datasets. Opportunistic species occurrence data may be of relatively limited quality, but it typically involves a large number of observations and species. Given the trade-off, how useful are opportunistic data in understanding patterns of spatial diversity structure? Here we explore opportunistic data in describing patterns of species composition among localities, using over 4,600 occurrence records of bluet damselflies in the United States. We tested phylogenetic scale (genus level, bluet major clades, bluet subclades) and spatial extent (US vs. watershed regions), hypothesizing that nonrandom structure is more likely at larger extent, and used several environmental and spatial gradients and matrix information scenarios. Null model analysis of matrix coherence and species replacements showed many cases of nonrandom structure and widespread species turnover. Findings did not support the spatial hypothesis, except for a prevalence of random outcomes in one watershed with limited longitudinal extent. Level of phylogeny did not appear to have any effect. Our study suggests that extensive opportunistic data can be used to identify nonrandom spatial diversity structure and species turnover at biogeographical scales.
- C18 Biodiversity
- S28 Shared pathways: contributions of citizen science to our freshwater future
- C11 Community Ecology
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Presenters/Authors
Jason Bried
(), University of Arkansas, bried@uark.edu;
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Adam Siepielski
(), University of Arkansas, amsiepie@uark.edu;
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