Summary data for canopy structural data including canopy complexity and leaf area

Source: R/fd_remote_sensing.R

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 These data are unpublished.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 These data are unpublished.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>