Butterflies in the Wanang forest dynamics plot, Papua New Guinea
Source:R/data.R
wanang_butterflies.RdReal field data: butterflies counted on 36 sampling days, three days a month over 12 months spread across three years, in the Wanang 50 ha forest dynamics plot, Papua New Guinea (Luk et al. 2019). Each sampling day is one site, which makes the data suited to sample-based accumulation and to partitioning diversity across days, months and years. Only the Wanang part of the published multi-site dataset is included.
Format
A tibble with one row per day and species recorded, and six columns:
- site
Sampling day,
"day01"to"day36".- day
Sampling day number, 1 to 36.
- month
Sampling month, 1 to 12, in order of sampling.
- year
Sampling year, 1 to 3, in order of sampling.
- species
Butterfly species.
- abundance
Number of individuals counted.
Source
Luk, C.-L., Basset, Y., Kongnoo, P., Hau, B. C. H. and
Bonebrake, T. C. (2019). Data from: Inter-annual monitoring improves
diversity estimation of tropical butterfly assemblages. Dryad.
doi:10.5061/dryad.j35fq7r
, released under CC0 1.0. Built by
data-raw/wanang_butterflies.R.
References
Luk, C.-L., Basset, Y., Kongnoo, P., Hau, B. C. H. and Bonebrake, T. C. (2019). Inter-annual monitoring improves diversity estimation of tropical butterfly assemblages. Biotropica, 51, 519-528. doi:10.1111/btp.12671
Examples
wanang_butterflies
#> # A tibble: 2,020 x 6
#> site day month year species abundance
#> <chr> <int> <int> <int> <chr> <int>
#> 1 day01 1 1 1 Apaturina erminea 4
#> 2 day01 1 1 1 Appias celestina 2
#> 3 day01 1 1 1 Cirrochroa regina 14
#> 4 day01 1 1 1 Cyrestis acilia 1
#> 5 day01 1 1 1 Danis danis 41
#> 6 day01 1 1 1 Danis glaucopis 1
#> 7 day01 1 1 1 Danis regalis 34
#> 8 day01 1 1 1 Dicallaneura decorata 2
#> 9 day01 1 1 1 Elodina hypatia 5
#> 10 day01 1 1 1 Elymnias cybele 6
#> # i 2,010 more rows
div_hill(wanang_butterflies, q = 0, .by = year) |> head()
#> # A tibble: 6 x 5
#> year site q n diversity
#> <int> <chr> <dbl> <int> <dbl>
#> 1 1 day01 0 197 30
#> 2 1 day02 0 192 33
#> 3 1 day03 0 171 33
#> 4 1 day04 0 341 41
#> 5 1 day05 0 299 36
#> 6 1 day06 0 399 37