Supporting data for "Direct tracking of pollen with quantum dots reveals surprising uniformity in dispersal distance across eleven populations of an annual plant"

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2021-05-14
2022-09-03

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Supporting data for "Direct tracking of pollen with quantum dots reveals surprising uniformity in dispersal distance across eleven populations of an annual plant"

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2023-06-01

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Abstract

Pollen movement is a crucial component of dispersal in seed plants. We used quantum dot pollen labeling, a new technique that overcomes past limitations, to evaluate the spatial scale of pollen dispersal and its relationship with conspecific density within eleven populations of Clarkia xantiana ssp. xantiana, a bee pollinated, annual plant. We used experimental arrays in two years to track pollen movement across distances of 5 – 35 m within nine populations and across distances of 10 – 70 m within two additional populations. We tested for distance decay of pollen dispersal and whether conspecific density modulated dispersal distance. We also asked whether dispersal kernels varied among populations across an environmentally complex landscape. We did not observe a decline in labeled pollen receipt with distance over 35 m within eight of nine populations or over 70 m within either of two populations. Pollen receipt increased with conspecific density. Overall, dispersal kernels were consistent across populations.

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Kern, Brooke R., Carley, Lauren N., and Moeller, David A. 2023. Direct tracking of pollen with quantum dots reveals surprising uniformity in dispersal distance across eleven populations of an annual plant. American Journal of Botany.
https://doi.org/10.1002/ajb2.16201

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National Science Foundation (DEB-1754246)
National Science Foundation (DEB-1754026)
Bell Museum of Natural History (U. of Minnesota)

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Kern, Brooke R; Carley, Lauren N; Moeller, David A. (2023). Supporting data for "Direct tracking of pollen with quantum dots reveals surprising uniformity in dispersal distance across eleven populations of an annual plant". Retrieved from the Data Repository for the University of Minnesota (DRUM), https://doi.org/10.13020/xy7y-an47.

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