Real field data: annual counts of rodent captures on the 24 experimental plots of the Portal Project, a long-term study in the Chihuahuan Desert near Portal, Arizona, USA, from 2016 to 2019. Since 2015 plots have been unmanipulated controls, kangaroo rat (Dipodomys) exclosures, or removals of all rodents. Only rodent species that are census targets and identified to species are kept. Each plot and year is one site.
Format
A tibble with one row per site and species captured, and seven columns:
- site
Site identifier, plot and year, such as
"P01-2016".- plot
Plot number, 1 to 24.
- year
Census year.
- treatment
Experimental treatment:
control,krat_exclosureorremoval.- species
Two-letter species code.
- scientific_name
Scientific name.
- abundance
Number of captures in the year.
Source
PortalData, Weecology, https://github.com/weecology/PortalData,
released under the CC0 1.0 public domain dedication. Built by
data-raw/portal_rodents.R in the package source.
References
Ernest, S. K. M., Yenni, G. M., Allington, G., Bledsoe, E. K., Christensen, E. M., Diaz, R. M. et al. (2018). The Portal Project: a long-term study of a Chihuahuan desert ecosystem. bioRxiv. doi:10.1101/332783
Examples
portal_rodents
#> # A tibble: 491 x 7
#> site plot year treatment species scientific_name abundance
#> <chr> <int> <int> <fct> <chr> <chr> <int>
#> 1 P01-2016 1 2016 removal PM Peromyscus maniculatus 9
#> 2 P01-2016 1 2016 removal PE Peromyscus eremicus 8
#> 3 P01-2016 1 2016 removal RM Reithrodontomys megalotis 6
#> 4 P01-2016 1 2016 removal PP Chaetodipus penicillatus 5
#> 5 P01-2016 1 2016 removal PL Peromyscus leucopus 1
#> 6 P01-2017 1 2017 removal PP Chaetodipus penicillatus 16
#> 7 P01-2017 1 2017 removal OT Onychomys torridus 9
#> 8 P01-2017 1 2017 removal PL Peromyscus leucopus 8
#> 9 P01-2017 1 2017 removal PE Peromyscus eremicus 6
#> 10 P01-2017 1 2017 removal RM Reithrodontomys megalotis 5
#> # i 481 more rows
div_hill(portal_rodents, q = 0, .by = c(treatment, year))
#> # A tibble: 96 x 6
#> treatment year site q n diversity
#> <fct> <int> <chr> <dbl> <int> <dbl>
#> 1 removal 2016 P01-2016 0 29 5
#> 2 removal 2017 P01-2017 0 54 10
#> 3 removal 2018 P01-2018 0 35 5
#> 4 removal 2019 P01-2019 0 8 2
#> 5 krat_exclosure 2016 P02-2016 0 81 6
#> 6 krat_exclosure 2017 P02-2017 0 84 8
#> 7 krat_exclosure 2018 P02-2018 0 41 3
#> 8 krat_exclosure 2019 P02-2019 0 70 4
#> 9 krat_exclosure 2016 P03-2016 0 79 8
#> 10 krat_exclosure 2017 P03-2017 0 66 8
#> # i 86 more rows