by replicate by year for 2018 to 2020

fd_canopy_structure_summary()

Value

A data.frame or tibble. See "Details" for column descriptions.

Details

The columns are as follows:

  • replicate (character): Replicate code, extracted from subplot_id.

  • plot (integer): Plot ID number, extracted from subplot_id.

  • subplot (character): Subplot code, extracted from subplot_id.

  • year (integer): Year in which measurement was taken

  • rugosity (numeric): mean of leaf area index

  • rugosity_sd (numeric): sd of leaf area index

  • rugosity_n (integer): number of observations per sample

  • rugosity_se (numeric): se of leaf area index

  • vai_mean (numeric): mean of leaf area index

  • vai_mean_sd (numeric): sd of leaf area index

  • vai_mean_n (integer): number of observations per sample

  • vai_mean_se (numeric): se of leaf area index

Note

This summary reports only canopy structural complexity (as canopy rugosity) and leaf area (as VAI, or vegetation area index--akin to PAI or LAI).

Author

Measurements by Jeff Atkins at the University of Michigan Biological Station.

Examples

fd_canopy_structure_summary()
#> These data are unpublished. Please contact Jeff Atkins to ask about using
#> Data citation: ESSD
#> Contact person: Jeff Atkins
#> These data are unpublished. Please contact Jeff Atkins to ask about using
#> Data citation: ESSD
#> Contact person: Jeff Atkins
#> # A tibble: 12 x 10 #> replicate year rugosity rugosity_sd rugosity_n rugosity_se vai_mean #> <chr> <int> <dbl> <dbl> <int> <dbl> <dbl> #> 1 A 2018 29.6 10.5 129 0.924 6.80 #> 2 A 2019 29.7 9.80 139 0.831 6.00 #> 3 A 2020 24.6 10.6 135 0.911 6.95 #> 4 B 2018 22.4 5.76 70 0.688 7.23 #> 5 B 2019 23.6 6.72 81 0.747 6.52 #> 6 B 2020 22.1 5.52 86 0.595 7.05 #> 7 C 2018 14.0 5.90 109 0.565 6.70 #> 8 C 2019 14.6 4.80 93 0.497 5.94 #> 9 C 2020 14.9 4.17 105 0.407 5.93 #> 10 D 2018 9.08 4.83 121 0.439 5.83 #> 11 D 2019 10.6 2.43 78 0.276 5.26 #> 12 D 2020 8.75 3.86 91 0.405 4.78 #> # ... with 3 more variables: vai_mean_sd <dbl>, vai_mean_n <int>, #> # vai_mean_se <dbl>