Description Usage Arguments Details Value References Examples
View source: R/community_stability.R
Calculates the stability of the overall community over time as the temporal mean / temporal standard deviation of aggregate species abundances (Tilman 1999).
1 | community_stability(df, time.var, abundance.var, replicate.var = NA)
|
df |
A data frame containing time, species and abundance columns and an optional column of replicates |
time.var |
The name of the time column |
abundance.var |
The name of the abundance column |
replicate.var |
The name of the optional replicate column |
The input data frame needs to contain columns for time, species and abundance; time.var, species.var and abundance.var are used to indicate which columns contain those variables. If multiple replicates are included in the data frame, that column should be specified with replicate.var. Each replicate should reflect a single experimental unit - there should be a single community represented within each time point and replicate.
The community_stability function returns a numeric stability value unless a replication column is specified in the input data frame. If replication is specified, the function returns a data frame with the following columns:
stability: A numeric column with the stability values.
replicate.var: A column that shares the same name and type as the replicate.var column in the input data frame.
Tilman, D. "The Ecological Consequences of Changes in Biodiversity: A Search for General Principles." Ecology 80, no. 5 (July 1999): 1455-74. doi:10.1890/0012-9658(1999)080[1455:TECOCI]2.0.CO;2.
1 2 3 4 5 6 7 8 | data(knz_001d)
community_stability(knz_001d[knz_001d$subplot=="A_1",],
time.var = "year",
abundance.var = "abundance") # for one subplot
community_stability(knz_001d,
time.var = "year",
abundance.var = "abundance",
replicate.var = "subplot") # across all subplots
|
[1] 4.123316
subplot stability
1 A_1 4.123316
2 A_2 3.986904
3 A_3 6.514939
4 A_4 4.322140
5 A_5 3.415329
6 B_1 4.479464
7 B_2 3.442573
8 B_3 3.551204
9 B_4 3.937452
10 B_5 3.282738
11 C_1 3.165395
12 C_2 3.703476
13 C_3 3.744142
14 C_4 5.057938
15 C_5 3.207514
16 D_1 4.497318
17 D_2 6.222124
18 D_3 4.504468
19 D_4 6.197067
20 D_5 5.246663
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