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Data and analyses for Juvenile survival increases with dispersal distance and varies across years: 15 years of evidence in a prairie perennial

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Figshare2024-04-23 更新2026-04-28 收录
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https://figshare.com/articles/dataset/Data_and_analyses_for_i_Juvenile_survival_increases_with_dispersal_distance_and_varies_across_years_15_years_of_evidence_in_a_prairie_perennial_i_/23808870
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Here are the analyses and data for the manuscript:"Juvenile survival increases with dispersal distance and varies across years: 15 years of evidence in a prairie perennial” submitted to EcologyData Files:These ascii comma-separated-values files contain data necessary for analyses listed below.data.csvcontains data tracking 886 Echinacea angustifolia individuals observed first as seedlings in cohorts from 2007-2013, in long form, fields include:slingCd: unique identifier for each individual (character)newLD: survival status = 0 if dead, = 1 if alive (binary)slingYr: cohort, year that seedling was first observed as a seedling (numeric)distMat1: distance to maternal plant in cm (numeric)max.fl: population size, i.e. maximum number of flowering plants observed at the site during study (numeric)lwd: local density of conspecifics, calculated as the average of the the sum of the distances between a seedling and its 1st-4th nearest neighbors within 12 cm, with the distances weighted by an exponential decay factor of 0.2(numeric)data_old.csvcontains data tracking 886 Echinacea angustifolia individuals observed first as seedlings in cohorts from 2007-2013 in long form. This dataset is a preliminary version of data used to make supplemental figures, that only includes survival through 2019. Fields include:slingCd: unique identifier for each individual (character)newLD: survival status = 0 if dead, = 1 if alive (binary)slingYr: cohort, year that seedling was first observed as a seedling (numeric)lfCt.age6: leaf count at age 6 (integer)lfCt.year2019: leaf count in 2019 (integer)distMat1:distance to maternal plant in cm (numeric)max.fl: population size, i.e. maximum number of flowering plants observed at the site during study (numeric)lwd:local density of conspecifics, calculated as the average of the the sum of the distances between a seedling and its 1st-4th nearest neighbors within 12 cm, with the distances weighted by an exponential decay factor of 0.2(numeric)Analysis Files:These files are knitted PDFs from R scripts that together produce all analyses including information for tables and drafts of figures included in the manuscript. Figure 1 in the manuscript is a conceptual figure generated using Adobe Illustrator.These analyses were generated using R version 4.2.1 and load the following packages:aster: Geyer CJ (2021). _aster: Aster Models_. R package version 1.1.2, https://CRAN.R-project.org/package=aster.tidyverse: Wickham H, Averick M, Bryan J, Chang W, McGowan LD, François R, Grolemund G, Hayes A, Henry L, Hester J, Kuhn M, Pedersen TL, Miller E, Bache SM, Müller K, Ooms J, Robinson D, Seidel DP, Spinu V, Takahashi K, Vaughan D, Wilke C, Woo K, Yutani H (2019). “Welcome to the tidyverse.” _Journal of Open Source Software_, *4*(43), 1686. doi:10.21105/joss.01686. R package version 2.0.0.age_model_final.pdf reads in data.csv and generates the age-based analysis as well as predicted values from the best age-based model. Generates RData files that are used to produce final figures in the script finalFigures.pdfyear_model_final.pdf reads in data.csv and generates the year-based analysis as well as predicted values from the best year-based model. Generates RData files that are used to produce final figures in the script finalFigures.pdfsupplemental_age_leafcount_model.pdf reads in data_old.csv and generates the preliminary analysis with data through 2019 to predict leaf count and generate the Appendix 1: Table S5supplemental_year_leafcount_model.pdf reads in data_old.csv and generates the preliminary analysis with data through 2019 to predict leaf count and generate the Appendix 1: Table S6
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2024-04-23
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