Climate and habitat type interact to influence contemporary dispersal potential in Prairie Smoke (Geum triflorum)
Creators: name: Sullivan, Lauren L.
name: Portlas, Zoe
name: Jaeger, Kelsey
name: Hoffner, Mercedes
name: Hamilton, Jill
Publisher: name: Zenodo
Year: 2024
Subjects: Fragmentation
Gene flow
Geum triflorum
Isolation
local adaptation
WALD model
Common garden
natural populations

description: Understanding dispersal potential, or the probability a species will move a given distance, under different environmental conditions is essential to predicting species' ability to move across the landscape and track shifting ecological niches. Two important drivers of dispersal ability are climatic differences and variation in local habitat type. Despite the likelihood these global drivers act simultaneously on plant populations, and thus dispersal potential is likely to change as a result, their combined effects on dispersal are rarely examined. To understand the effect of climate and varying habitat types on dispersal potential, we studied Geum triflorum - a perennial grassland species that spans a wide range of environments, including both prairie and alvar habitats. We explored how the climate of the growing season and habitat type (prairie vs alvar) interact to alter dispersal potential. We found a consistent interactive effect of climate and habitat type on dispersal potential. Across prairie populations, an increased number of growing degree days favored traits that increase dispersal potential, or the probability of dispersing farther distances. However, for alvar populations, dispersal potential tended to decrease as the number of growing degree days increase. Our findings suggest that under continued warming, populations in prairie habitats will benefit from increased gene flow, while alvar populations will become increasingly segregated, with reduced potential to track shifting fitness optima.
description: Funding provided by: Legislative-Citizen Commission on Minnesota ResourcesCrossref Funder Registry ID: https://ror.org/0036jb858Award Number: M.L. 2016, Chp. 186, Sec. 2, Subd. 08b
Funding provided by: National Science FoundationCrossref Funder Registry ID: https://ror.org/021nxhr62Award Number: NSF-IIA-1355466
Funding provided by: University of MissouriCrossref Funder Registry ID: https://ror.org/02ymw8z06Award Number: 
Funding provided by: University of MissouriCrossref Funder Registry ID: https://ror.org/02ymw8z06Award Number: 
Funding provided by: North Dakota State UniversityCrossref Funder Registry ID: https://ror.org/05h1bnb22Award Number:
description: 1) geum_data.csv - trait data for geum.  Trait data measured in the lab.

2) terminalvelocity_data.csv - terminal velocity data collected from dropping seeds through a tunnel with light receptors in the lab

3) height_data.csv - data on heights of G. triflorum individuals collected from digital herbarium specimens provided by: University of Minnesota, University of Manitoba, the Canadian Museum of Nature (CAN), and the Agriculture and Agri-Food Canada National Collection of Vascular Plants (DAO).

4) wind_data.csv - wind data from a weather station near Moorehead, MN

5) PCA_results.xlsx - the PCA results for our climate variables to demonstrate how we chose the variables we did in our analysis.

6) climate_data_tomerge_trait.csv: The .csv file to merge with geum_data.csv for analyses from that dataset (code merges these together).  Created from ClimateNA

7) climate_data_tomerge_tv.csv: The .csv file to merge with terminalvelocity_data.csv for analyses from that dataset (code merges these together).  Created from ClimateNA