Data from: Plant dispersal in the sub-Antarctic inferred from anisotropic genetic structure
Climatic conditions and landscape features often strongly affect species' local distribution patterns, dispersal, reproduction and survival, and may therefore have considerable impacts on species' fine-scale spatial genetic structure (SGS). In this paper we demonstrate the efficacy of comb...
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ftzenodo:oai:zenodo.org:4992136 2023-06-06T11:44:12+02:00 Data from: Plant dispersal in the sub-Antarctic inferred from anisotropic genetic structure Born, Céline le Roux, Peter C. Spohr, Colin McGeoch, Melodie A. Van Vuuren, Bettine Jansen 2011-10-19 https://zenodo.org/record/4992136 https://doi.org/10.5061/dryad.4f1r5vg8 unknown doi:10.1111/j.1365-294X.2011.05372.x https://zenodo.org/communities/dryad https://zenodo.org/record/4992136 https://doi.org/10.5061/dryad.4f1r5vg8 oai:zenodo.org:4992136 info:eu-repo/semantics/openAccess https://creativecommons.org/publicdomain/zero/1.0/legalcode Azorella selago Plant Mating Systems info:eu-repo/semantics/other dataset 2011 ftzenodo https://doi.org/10.5061/dryad.4f1r5vg810.1111/j.1365-294X.2011.05372.x 2023-04-13T21:27:26Z Climatic conditions and landscape features often strongly affect species' local distribution patterns, dispersal, reproduction and survival, and may therefore have considerable impacts on species' fine-scale spatial genetic structure (SGS). In this paper we demonstrate the efficacy of combining fine-scale SGS analyses with isotropic and anisotropic spatial autocorrelation techniques to infer the impact of wind patterns on plant dispersal processes. We genotyped 1304 Azorella selago (Apiaceae) specimens, a wind-pollinated and wind-dispersed plant, from four populations distributed across sub-Antarctic Marion Island. SGS was variable with Sp values ranging from 0.001 to 0.014, suggesting notable variability in dispersal distance and wind velocities between sites. Nonetheless, the data supported previous hypotheses of a strong NW – SE gradient in wind strength across the island. Anisotropic autocorrelation analyses further suggested that dispersal is strongly directional, but varying between sites depending on the local prevailing winds. Despite the high frequency of gale-force winds on Marion Island, gene dispersal distance estimates (σ) were surprisingly low (< 10 m), most likely because of a low pollen dispersal efficiency. An SGS approach in association with isotropic and anisotropic analyses provides a powerful means to assess the relative influence of abiotic factors on dispersal, and allow inferences that would not be possible without this combined approach. MEC-11-0847 Born CThis file is an excel spreadsheet giving details about individuals' locations (in decimal degree) and genotypes (6 microsatellites markers) for the four study sites presented in the study. Dataset Antarc* Antarctic Marion Island Zenodo Antarctic |
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unknown |
topic |
Azorella selago Plant Mating Systems |
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Azorella selago Plant Mating Systems Born, Céline le Roux, Peter C. Spohr, Colin McGeoch, Melodie A. Van Vuuren, Bettine Jansen Data from: Plant dispersal in the sub-Antarctic inferred from anisotropic genetic structure |
topic_facet |
Azorella selago Plant Mating Systems |
description |
Climatic conditions and landscape features often strongly affect species' local distribution patterns, dispersal, reproduction and survival, and may therefore have considerable impacts on species' fine-scale spatial genetic structure (SGS). In this paper we demonstrate the efficacy of combining fine-scale SGS analyses with isotropic and anisotropic spatial autocorrelation techniques to infer the impact of wind patterns on plant dispersal processes. We genotyped 1304 Azorella selago (Apiaceae) specimens, a wind-pollinated and wind-dispersed plant, from four populations distributed across sub-Antarctic Marion Island. SGS was variable with Sp values ranging from 0.001 to 0.014, suggesting notable variability in dispersal distance and wind velocities between sites. Nonetheless, the data supported previous hypotheses of a strong NW – SE gradient in wind strength across the island. Anisotropic autocorrelation analyses further suggested that dispersal is strongly directional, but varying between sites depending on the local prevailing winds. Despite the high frequency of gale-force winds on Marion Island, gene dispersal distance estimates (σ) were surprisingly low (< 10 m), most likely because of a low pollen dispersal efficiency. An SGS approach in association with isotropic and anisotropic analyses provides a powerful means to assess the relative influence of abiotic factors on dispersal, and allow inferences that would not be possible without this combined approach. MEC-11-0847 Born CThis file is an excel spreadsheet giving details about individuals' locations (in decimal degree) and genotypes (6 microsatellites markers) for the four study sites presented in the study. |
format |
Dataset |
author |
Born, Céline le Roux, Peter C. Spohr, Colin McGeoch, Melodie A. Van Vuuren, Bettine Jansen |
author_facet |
Born, Céline le Roux, Peter C. Spohr, Colin McGeoch, Melodie A. Van Vuuren, Bettine Jansen |
author_sort |
Born, Céline |
title |
Data from: Plant dispersal in the sub-Antarctic inferred from anisotropic genetic structure |
title_short |
Data from: Plant dispersal in the sub-Antarctic inferred from anisotropic genetic structure |
title_full |
Data from: Plant dispersal in the sub-Antarctic inferred from anisotropic genetic structure |
title_fullStr |
Data from: Plant dispersal in the sub-Antarctic inferred from anisotropic genetic structure |
title_full_unstemmed |
Data from: Plant dispersal in the sub-Antarctic inferred from anisotropic genetic structure |
title_sort |
data from: plant dispersal in the sub-antarctic inferred from anisotropic genetic structure |
publishDate |
2011 |
url |
https://zenodo.org/record/4992136 https://doi.org/10.5061/dryad.4f1r5vg8 |
geographic |
Antarctic |
geographic_facet |
Antarctic |
genre |
Antarc* Antarctic Marion Island |
genre_facet |
Antarc* Antarctic Marion Island |
op_relation |
doi:10.1111/j.1365-294X.2011.05372.x https://zenodo.org/communities/dryad https://zenodo.org/record/4992136 https://doi.org/10.5061/dryad.4f1r5vg8 oai:zenodo.org:4992136 |
op_rights |
info:eu-repo/semantics/openAccess https://creativecommons.org/publicdomain/zero/1.0/legalcode |
op_doi |
https://doi.org/10.5061/dryad.4f1r5vg810.1111/j.1365-294X.2011.05372.x |
_version_ |
1767959855284355072 |