rate_change_interval: Differences in community composition over successive time lag...
In codyn: Community Dynamics Metrics
Description
Usage
Arguments
Value
References
Examples
Description
Calculates the differences in species composition within a community over increasing time
intervals. Differences in species composition are characterized by Euclidean distances,
which are calculated on pair-wise communities across the entire time series.
For example, a data set with 6 time intervals will have distance values for five one-year time lags
(year 1 vs year 2, year 2 vs year 3 ...),
4 two-year time lags (year 1 vs year 3, year 2 vs year 4 ...) and so forth.
Returns the full set of community distance values and associated time lag intervals.
Usage
1
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rate_change_interval(
df,
time.var,
species.var,
abundance.var,
replicate.var = NA
)
Arguments
df
A data frame containing time, species and abundance columns and an optional column of replicates
time.var
The name of the time column
species.var
The name of the species column
abundance.var
The name of the abundance column
replicate.var
The name of the optional replicate column
Value
The rate_change_interval function returns a data frame with the following attributes:
interval: A numeric column containing the interval length between time periods.
distance: A numeric column containing the Euclidean distances.
replicate.var: A column that shares the same name and type as the replicate.var column in the input data frame.
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 must be a single abundance value per species within each time point and replicate.
References
Collins, S. L., Micheli, F. and Hartt, L. 2000. A method to determine rates and patterns of variability in ecological communities. - Oikos 91: 285-293.
Examples
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data(knz_001d)
rate_change_interval(knz_001d[knz_001d$subplot=="A_1",],
time.var = "year",
species.var = "species",
abundance.var = "abundance") # for one subplot
rate_change_interval(knz_001d,
time.var = "year",
species.var = "species",
abundance.var = "abundance",
replicate.var = "subplot") # across all subplots
Example output
interval distance
1 1 3.316625
2 1 97.403799
3 1 46.392349
4 1 4.183300
5 1 67.041032
6 1 27.486360
7 1 32.519225
8 1 28.753261
9 1 34.427460
10 1 23.900837
11 1 25.758494
12 1 5.590170
13 1 40.610959
14 1 27.982137
15 1 12.349089
16 1 33.919021
17 1 31.827661
18 1 17.161002
19 1 12.776932
20 1 4.387482
21 1 25.777898
22 1 34.510868
23 1 3.640055
24 2 99.947486
25 2 67.537027
26 2 46.553732
27 2 66.936537
28 2 75.990131
29 2 26.429151
30 2 31.124749
31 2 41.176450
32 2 38.026307
33 2 30.842341
34 2 27.013885
35 2 40.006250
36 2 35.238473
37 2 30.594117
38 2 36.939139
39 2 47.696960
40 2 42.976738
41 2 13.028814
42 2 13.038405
43 2 26.129485
44 2 17.363755
45 2 34.695101
46 3 70.197934
47 3 67.651681
48 3 91.960589
49 3 75.851829
50 3 72.608539
51 3 40.388736
52 3 53.870214
53 3 43.712126
54 3 41.809090
55 3 31.898276
56 3 30.830180
57 3 34.539832
58 3 32.569157
59 3 29.974990
60 3 49.899900
61 3 50.690236
62 3 34.383862
63 3 12.806248
64 3 36.715120
65 3 17.881555
66 3 17.356555
67 4 70.283355
68 4 28.429738
69 4 107.334757
70 4 72.591322
71 4 67.920910
72 4 56.758259
73 4 56.260555
74 4 34.514490
75 4 41.734278
76 4 35.153236
77 4 23.302360
78 4 32.473066
79 4 52.208716
80 4 29.974990
81 4 52.763624
82 4 49.469688
83 4 34.300146
84 4 22.660538
85 4 12.549900
86 4 17.535678
87 5 29.820295
88 5 15.724185
89 5 103.953114
90 5 67.920910
91 5 60.967204
92 5 57.595573
93 5 58.785627
94 5 34.423829
95 5 27.540879
96 5 27.445400
97 5 26.589472
98 5 52.148825
99 5 57.539117
100 5 29.874738
101 5 51.606686
102 5 49.284886
103 5 22.671568
104 5 12.308534
105 5 12.559857
106 6 15.692355
107 6 34.536213
108 6 103.266645
109 6 60.802960
110 6 62.451982
111 6 51.519414
112 6 58.966092
113 6 34.615748
114 6 39.786933
115 6 24.672860
116 6 49.320381
117 6 57.484781
118 6 54.920397
119 6 27.825348
120 6 51.380930
121 6 52.711479
122 6 41.279535
123 6 12.318685
124 7 34.745503
125 7 27.703790
126 7 101.223762
127 7 62.187217
128 7 64.631649
129 7 51.676881
130 7 37.593217
131 7 40.923710
132 7 37.168535
133 7 47.715302
134 7 54.927225
135 7 54.863467
136 7 56.293872
137 7 27.631504
138 7 54.799635
139 7 49.157909
140 7 41.282563
141 8 27.910571
142 8 52.232653
143 8 102.058807
144 8 64.476740
145 8 64.544558
146 8 39.360513
147 8 54.265551
148 8 38.219759
149 8 42.385139
150 8 53.467280
151 8 52.182373
152 8 56.393705
153 8 56.220548
154 8 37.563280
155 8 51.380930
156 8 49.287422
157 9 53.077773
158 9 53.698231
159 9 98.397154
160 9 64.428255
161 9 56.402571
162 9 56.037934
163 9 52.223079
164 9 43.309930
165 9 35.447144
166 9 50.668037
167 9 53.761045
168 9 56.431374
169 9 65.964005
170 9 32.388269
171 9 51.407684
172 10 54.497706
173 10 56.333826
174 10 98.339972
175 10 56.122634
176 10 66.863667
177 10 54.646592
178 10 46.019018
179 10 36.547914
180 10 30.033315
181 10 51.889305
182 10 53.800558
183 10 66.030296
184 10 56.198310
185 10 32.422986
186 11 57.092031
187 11 56.256111
188 11 92.916629
189 11 66.653957
190 11 65.174765
191 11 48.874840
192 11 21.266170
193 11 36.465737
194 11 32.050741
195 11 52.074466
196 11 63.914005
197 11 56.298313
198 11 56.196085
199 12 57.015349
200 12 33.181320
201 12 107.951378
202 12 65.044216
203 12 68.262362
204 12 26.902602
205 12 21.418450
206 12 38.307963
207 12 33.075671
208 12 62.563967
209 12 53.777319
210 12 56.296092
211 13 34.416566
212 13 54.593956
213 13 106.908840
214 13 68.163407
215 13 64.189174
216 13 25.879529
217 13 25.874698
218 13 38.395963
219 13 47.921811
220 13 52.194348
221 13 53.663302
222 14 55.326305
223 14 52.621288
224 14 104.067286
225 14 64.076127
226 14 57.452154
227 14 29.916551
228 14 26.004807
229 14 48.746795
230 14 33.256578
231 14 52.072065
232 15 53.385391
233 15 46.599356
234 15 95.731395
235 15 57.330184
236 15 58.740957
237 15 29.820295
238 15 40.221263
239 15 34.434721
240 15 33.260337
241 16 47.460510
242 16 22.505555
243 16 87.652724
244 16 58.753723
245 16 58.564067
246 16 43.500000
247 16 15.976545
248 16 34.626579
249 17 24.238399
250 17 12.825755
251 17 88.925531
252 17 58.572605
253 17 71.834880
254 17 22.994565
255 17 16.000000
256 18 15.748016
257 18 19.742087
258 18 88.822857
259 18 71.737368
260 18 63.005952
261 18 23.000000
262 19 21.754310
263 19 19.261360
264 19 101.575095
265 19 62.898728
266 19 63.103090
267 20 21.213203
268 20 40.743098
269 20 94.628220
270 20 62.992063
271 21 41.725292
272 21 17.219175
273 21 94.695565
274 22 19.429359
275 22 17.571283
276 23 19.754746
interval distance subplot
A_1.1 1 3.3166248 A_1
A_1.2 1 97.4037987 A_1
A_1.3 1 46.3923485 A_1
A_1.4 1 4.1833001 A_1
A_1.5 1 67.0410322 A_1
A_1.6 1 27.4863603 A_1
A_1.7 1 32.5192251 A_1
A_1.8 1 28.7532607 A_1
A_1.9 1 34.4274600 A_1
A_1.10 1 23.9008368 A_1
A_1.11 1 25.7584937 A_1
A_1.12 1 5.5901699 A_1
A_1.13 1 40.6109591 A_1
A_1.14 1 27.9821372 A_1
A_1.15 1 12.3490890 A_1
A_1.16 1 33.9190212 A_1
A_1.17 1 31.8276609 A_1
A_1.18 1 17.1610023 A_1
A_1.19 1 12.7769323 A_1
A_1.20 1 4.3874822 A_1
A_1.21 1 25.7778975 A_1
A_1.22 1 34.5108679 A_1
A_1.23 1 3.6400549 A_1
A_1.24 2 99.9474862 A_1
A_1.25 2 67.5370269 A_1
A_1.26 2 46.5537324 A_1
A_1.27 2 66.9365371 A_1
A_1.28 2 75.9901309 A_1
A_1.29 2 26.4291506 A_1
A_1.30 2 31.1247490 A_1
A_1.31 2 41.1764496 A_1
A_1.32 2 38.0263067 A_1
A_1.33 2 30.8423410 A_1
A_1.34 2 27.0138853 A_1
A_1.35 2 40.0062495 A_1
A_1.36 2 35.2384733 A_1
A_1.37 2 30.5941171 A_1
A_1.38 2 36.9391391 A_1
A_1.39 2 47.6969601 A_1
A_1.40 2 42.9767379 A_1
A_1.41 2 13.0288142 A_1
A_1.42 2 13.0384048 A_1
A_1.43 2 26.1294853 A_1
A_1.44 2 17.3637554 A_1
A_1.45 2 34.6951005 A_1
A_1.46 3 70.1979344 A_1
A_1.47 3 67.6516814 A_1
A_1.48 3 91.9605894 A_1
A_1.49 3 75.8518292 A_1
A_1.50 3 72.6085394 A_1
A_1.51 3 40.3887361 A_1
A_1.52 3 53.8702144 A_1
A_1.53 3 43.7121265 A_1
A_1.54 3 41.8090899 A_1
A_1.55 3 31.8982758 A_1
A_1.56 3 30.8301800 A_1
A_1.57 3 34.5398321 A_1
A_1.58 3 32.5691572 A_1
A_1.59 3 29.9749896 A_1
A_1.60 3 49.8998998 A_1
A_1.61 3 50.6902357 A_1
A_1.62 3 34.3838625 A_1
A_1.63 3 12.8062485 A_1
A_1.64 3 36.7151195 A_1
A_1.65 3 17.8815547 A_1
A_1.66 3 17.3565550 A_1
A_1.67 4 70.2833551 A_1
A_1.68 4 28.4297380 A_1
A_1.69 4 107.3347567 A_1
A_1.70 4 72.5913218 A_1
A_1.71 4 67.9209099 A_1
A_1.72 4 56.7582593 A_1
A_1.73 4 56.2605546 A_1
A_1.74 4 34.5144897 A_1
A_1.75 4 41.7342785 A_1
A_1.76 4 35.1532360 A_1
A_1.77 4 23.3023604 A_1
A_1.78 4 32.4730658 A_1
A_1.79 4 52.2087157 A_1
A_1.80 4 29.9749896 A_1
A_1.81 4 52.7636238 A_1
A_1.82 4 49.4696877 A_1
A_1.83 4 34.3001458 A_1
A_1.84 4 22.6605384 A_1
A_1.85 4 12.5499004 A_1
A_1.86 4 17.5356779 A_1
A_1.87 5 29.8202951 A_1
A_1.88 5 15.7241852 A_1
A_1.89 5 103.9531144 A_1
A_1.90 5 67.9209099 A_1
A_1.91 5 60.9672043 A_1
A_1.92 5 57.5955727 A_1
A_1.93 5 58.7856275 A_1
A_1.94 5 34.4238290 A_1
A_1.95 5 27.5408787 A_1
A_1.96 5 27.4454003 A_1
A_1.97 5 26.5894716 A_1
A_1.98 5 52.1488255 A_1
A_1.99 5 57.5391171 A_1
A_1.100 5 29.8747385 A_1
A_1.101 5 51.6066856 A_1
A_1.102 5 49.2848861 A_1
A_1.103 5 22.6715681 A_1
A_1.104 5 12.3085336 A_1
A_1.105 5 12.5598567 A_1
A_1.106 6 15.6923548 A_1
A_1.107 6 34.5362129 A_1
A_1.108 6 103.2666451 A_1
A_1.109 6 60.8029605 A_1
A_1.110 6 62.4519816 A_1
A_1.111 6 51.5194138 A_1
A_1.112 6 58.9660920 A_1
A_1.113 6 34.6157479 A_1
A_1.114 6 39.7869325 A_1
A_1.115 6 24.6728596 A_1
A_1.116 6 49.3203812 A_1
A_1.117 6 57.4847806 A_1
A_1.118 6 54.9203969 A_1
A_1.119 6 27.8253482 A_1
A_1.120 6 51.3809303 A_1
A_1.121 6 52.7114788 A_1
A_1.122 6 41.2795349 A_1
A_1.123 6 12.3186850 A_1
A_1.124 7 34.7455033 A_1
A_1.125 7 27.7037904 A_1
A_1.126 7 101.2237620 A_1
A_1.127 7 62.1872173 A_1
A_1.128 7 64.6316486 A_1
A_1.129 7 51.6768807 A_1
A_1.130 7 37.5932175 A_1
A_1.131 7 40.9237095 A_1
A_1.132 7 37.1685351 A_1
A_1.133 7 47.7153015 A_1
A_1.134 7 54.9272246 A_1
A_1.135 7 54.8634669 A_1
A_1.136 7 56.2938718 A_1
A_1.137 7 27.6315038 A_1
A_1.138 7 54.7996350 A_1
A_1.139 7 49.1579088 A_1
A_1.140 7 41.2825629 A_1
A_1.141 8 27.9105715 A_1
A_1.142 8 52.2326526 A_1
A_1.143 8 102.0588066 A_1
A_1.144 8 64.4767400 A_1
A_1.145 8 64.5445583 A_1
A_1.146 8 39.3605132 A_1
A_1.147 8 54.2655508 A_1
A_1.148 8 38.2197593 A_1
A_1.149 8 42.3851389 A_1
A_1.150 8 53.4672797 A_1
A_1.151 8 52.1823725 A_1
A_1.152 8 56.3937053 A_1
A_1.153 8 56.2205478 A_1
A_1.154 8 37.5632799 A_1
A_1.155 8 51.3809303 A_1
A_1.156 8 49.2874223 A_1
A_1.157 9 53.0777731 A_1
A_1.158 9 53.6982309 A_1
A_1.159 9 98.3971544 A_1
A_1.160 9 64.4282547 A_1
A_1.161 9 56.4025709 A_1
A_1.162 9 56.0379336 A_1
A_1.163 9 52.2230792 A_1
A_1.164 9 43.3099296 A_1
A_1.165 9 35.4471437 A_1
A_1.166 9 50.6680373 A_1
A_1.167 9 53.7610454 A_1
A_1.168 9 56.4313743 A_1
A_1.169 9 65.9640053 A_1
A_1.170 9 32.3882695 A_1
A_1.171 9 51.4076843 A_1
A_1.172 10 54.4977064 A_1
A_1.173 10 56.3338264 A_1
A_1.174 10 98.3399715 A_1
A_1.175 10 56.1226336 A_1
A_1.176 10 66.8636673 A_1
A_1.177 10 54.6465918 A_1
A_1.178 10 46.0190178 A_1
A_1.179 10 36.5479138 A_1
A_1.180 10 30.0333148 A_1
A_1.181 10 51.8893053 A_1
A_1.182 10 53.8005576 A_1
A_1.183 10 66.0302961 A_1
A_1.184 10 56.1983096 A_1
A_1.185 10 32.4229857 A_1
A_1.186 11 57.0920310 A_1
A_1.187 11 56.2561108 A_1
A_1.188 11 92.9166293 A_1
A_1.189 11 66.6539571 A_1
A_1.190 11 65.1747651 A_1
A_1.191 11 48.8748402 A_1
A_1.192 11 21.2661703 A_1
A_1.193 11 36.4657373 A_1
A_1.194 11 32.0507410 A_1
A_1.195 11 52.0744659 A_1
A_1.196 11 63.9140047 A_1
A_1.197 11 56.2983126 A_1
A_1.198 11 56.1960853 A_1
A_1.199 12 57.0153488 A_1
A_1.200 12 33.1813200 A_1
A_1.201 12 107.9513779 A_1
A_1.202 12 65.0442157 A_1
A_1.203 12 68.2623615 A_1
A_1.204 12 26.9026021 A_1
A_1.205 12 21.4184500 A_1
A_1.206 12 38.3079626 A_1
A_1.207 12 33.0756708 A_1
A_1.208 12 62.5639673 A_1
A_1.209 12 53.7773186 A_1
A_1.210 12 56.2960922 A_1
A_1.211 13 34.4165658 A_1
A_1.212 13 54.5939557 A_1
A_1.213 13 106.9088397 A_1
A_1.214 13 68.1634066 A_1
A_1.215 13 64.1891735 A_1
A_1.216 13 25.8795286 A_1
A_1.217 13 25.8746981 A_1
A_1.218 13 38.3959633 A_1
A_1.219 13 47.9218113 A_1
A_1.220 13 52.1943484 A_1
A_1.221 13 53.6633022 A_1
A_1.222 14 55.3263048 A_1
A_1.223 14 52.6212885 A_1
A_1.224 14 104.0672859 A_1
A_1.225 14 64.0761266 A_1
A_1.226 14 57.4521540 A_1
A_1.227 14 29.9165506 A_1
A_1.228 14 26.0048072 A_1
A_1.229 14 48.7467948 A_1
A_1.230 14 33.2565783 A_1
A_1.231 14 52.0720654 A_1
A_1.232 15 53.3853913 A_1
A_1.233 15 46.5993562 A_1
A_1.234 15 95.7313951 A_1
A_1.235 15 57.3301840 A_1
A_1.236 15 58.7409568 A_1
A_1.237 15 29.8202951 A_1
A_1.238 15 40.2212630 A_1
A_1.239 15 34.4347208 A_1
A_1.240 15 33.2603367 A_1
A_1.241 16 47.4605099 A_1
A_1.242 16 22.5055549 A_1
A_1.243 16 87.6527239 A_1
A_1.244 16 58.7537233 A_1
A_1.245 16 58.5640675 A_1
A_1.246 16 43.5000000 A_1
A_1.247 16 15.9765453 A_1
A_1.248 16 34.6265794 A_1
A_1.249 17 24.2383993 A_1
A_1.250 17 12.8257553 A_1
A_1.251 17 88.9255306 A_1
A_1.252 17 58.5726045 A_1
A_1.253 17 71.8348801 A_1
A_1.254 17 22.9945646 A_1
A_1.255 17 16.0000000 A_1
A_1.256 18 15.7480157 A_1
A_1.257 18 19.7420870 A_1
A_1.258 18 88.8228574 A_1
A_1.259 18 71.7373682 A_1
A_1.260 18 63.0059521 A_1
A_1.261 18 23.0000000 A_1
A_1.262 19 21.7543099 A_1
A_1.263 19 19.2613603 A_1
A_1.264 19 101.5750954 A_1
A_1.265 19 62.8987281 A_1
A_1.266 19 63.1030903 A_1
A_1.267 20 21.2132034 A_1
A_1.268 20 40.7430976 A_1
A_1.269 20 94.6282199 A_1
A_1.270 20 62.9920630 A_1
A_1.271 21 41.7252921 A_1
A_1.272 21 17.2191754 A_1
A_1.273 21 94.6955648 A_1
A_1.274 22 19.4293592 A_1
A_1.275 22 17.5712834 A_1
A_1.276 23 19.7547463 A_1
A_2.1 1 34.0624427 A_2
A_2.2 1 27.2259068 A_2
A_2.3 1 38.7298335 A_2
A_2.4 1 32.0546408 A_2
A_2.5 1 52.6355393 A_2
A_2.6 1 37.5099987 A_2
A_2.7 1 29.6690074 A_2
A_2.8 1 26.1294853 A_2
A_2.9 1 39.3287427 A_2
A_2.10 1 33.5410197 A_2
A_2.11 1 28.4121453 A_2
A_2.12 1 3.6055513 A_2
A_2.13 1 13.0192166 A_2
A_2.14 1 3.5707142 A_2
A_2.15 1 4.7169906 A_2
A_2.16 1 2.6925824 A_2
A_2.17 1 3.6742346 A_2
A_2.18 1 25.1346375 A_2
A_2.19 1 41.2674206 A_2
A_2.20 1 2.5980762 A_2
A_2.21 1 41.2734782 A_2
A_2.22 1 36.6230802 A_2
A_2.23 1 2.6457513 A_2
A_2.24 2 29.5550334 A_2
A_2.25 2 54.1317836 A_2
A_2.26 2 38.8908730 A_2
A_2.27 2 52.6497863 A_2
A_2.28 2 56.1248608 A_2
A_2.29 2 34.3037899 A_2
A_2.30 2 13.8564065 A_2
A_2.31 2 34.3511281 A_2
A_2.32 2 36.4931500 A_2
A_2.33 2 18.5943540 A_2
A_2.34 2 28.4561066 A_2
A_2.35 2 13.1148770 A_2
A_2.36 2 13.4814688 A_2
A_2.37 2 5.9160798 A_2
A_2.38 2 5.4313902 A_2
A_2.39 2 4.4440972 A_2
A_2.40 2 25.3919279 A_2
A_2.41 2 58.8153891 A_2
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D_5.157 9 70.1979344 D_5
D_5.158 9 34.7059073 D_5
D_5.159 9 56.3471383 D_5
D_5.160 9 56.3737528 D_5
D_5.161 9 48.1040539 D_5
D_5.162 9 35.9687364 D_5
D_5.163 9 33.9116499 D_5
D_5.164 9 24.4540385 D_5
D_5.165 9 25.6953303 D_5
D_5.166 9 26.4054919 D_5
D_5.167 9 7.9056942 D_5
D_5.168 9 34.9499642 D_5
D_5.169 9 32.6266762 D_5
D_5.170 9 13.7295302 D_5
D_5.171 9 13.7295302 D_5
D_5.172 10 55.6349710 D_5
D_5.173 10 48.1741632 D_5
D_5.174 10 61.6745490 D_5
D_5.175 10 50.3611954 D_5
D_5.176 10 47.9452813 D_5
D_5.177 10 33.9484904 D_5
D_5.178 10 33.9153358 D_5
D_5.179 10 19.7484177 D_5
D_5.180 10 24.2487113 D_5
D_5.181 10 26.5235744 D_5
D_5.182 10 14.3614066 D_5
D_5.183 10 38.0361670 D_5
D_5.184 10 29.3385412 D_5
D_5.185 10 13.2003788 D_5
D_5.186 11 55.5292716 D_5
D_5.187 11 42.9127021 D_5
D_5.188 11 56.2494444 D_5
D_5.189 11 50.0899191 D_5
D_5.190 11 49.9349577 D_5
D_5.191 11 33.9521722 D_5
D_5.192 11 31.6583322 D_5
D_5.193 11 19.4486503 D_5
D_5.194 11 24.3259121 D_5
D_5.195 11 29.1075592 D_5
D_5.196 11 20.3960781 D_5
D_5.197 11 35.0713558 D_5
D_5.198 11 29.0860791 D_5
D_5.199 12 61.0921435 D_5
D_5.200 12 34.4782540 D_5
D_5.201 12 56.0066960 D_5
D_5.202 12 52.2278661 D_5
D_5.203 12 49.9324544 D_5
D_5.204 12 35.9130895 D_5
D_5.205 12 31.4722100 D_5
D_5.206 12 19.5448203 D_5
D_5.207 12 27.1108834 D_5
D_5.208 12 32.5192251 D_5
D_5.209 12 15.0582203 D_5
D_5.210 12 35.0392637 D_5
D_5.211 13 56.0089279 D_5
D_5.212 13 34.4383507 D_5
D_5.213 13 57.7148161 D_5
D_5.214 13 52.2350457 D_5
D_5.215 13 47.9400668 D_5
D_5.216 13 35.7351368 D_5
D_5.217 13 31.5317301 D_5
D_5.218 13 22.9183333 D_5
D_5.219 13 29.5423425 D_5
D_5.220 13 29.4745653 D_5
D_5.221 13 15.0831031 D_5
D_5.222 14 55.9843728 D_5
D_5.223 14 37.0303929 D_5
D_5.224 14 57.7256442 D_5
D_5.225 14 50.2045815 D_5
D_5.226 14 47.8434949 D_5
D_5.227 14 35.8294572 D_5
D_5.228 14 33.7268439 D_5
D_5.229 14 25.7487864 D_5
D_5.230 14 28.5482048 D_5
D_5.231 14 23.7802439 D_5
D_5.232 15 57.6151022 D_5
D_5.233 15 37.0405184 D_5
D_5.234 15 55.9799071 D_5
D_5.235 15 50.0774400 D_5
D_5.236 15 47.8826691 D_5
D_5.237 15 37.7822710 D_5
D_5.238 15 35.7106427 D_5
D_5.239 15 23.3612928 D_5
D_5.240 15 29.7615524 D_5
D_5.241 16 57.6216105 D_5
D_5.242 16 34.0881211 D_5
D_5.243 16 55.9821400 D_5
D_5.244 16 49.9949997 D_5
D_5.245 16 49.9599840 D_5
D_5.246 16 40.6417273 D_5
D_5.247 16 34.0000000 D_5
D_5.248 16 24.5662370 D_5
D_5.249 17 55.7471972 D_5
D_5.250 17 34.2746262 D_5
D_5.251 17 55.9307608 D_5
D_5.252 17 51.4125471 D_5
D_5.253 17 51.3200740 D_5
D_5.254 17 38.0328805 D_5
D_5.255 17 33.9668956 D_5
D_5.256 18 55.8569602 D_5
D_5.257 18 34.3656806 D_5
D_5.258 18 57.7191476 D_5
D_5.259 18 49.3254498 D_5
D_5.260 18 49.9949997 D_5
D_5.261 18 33.9889688 D_5
D_5.262 19 55.9352304 D_5
D_5.263 19 37.2055103 D_5
D_5.264 19 55.8681483 D_5
D_5.265 19 50.8601022 D_5
D_5.266 19 50.1123737 D_5
D_5.267 20 57.7234788 D_5
D_5.268 20 39.0128184 D_5
D_5.269 20 57.0876519 D_5
D_5.270 20 52.2876658 D_5
D_5.271 21 59.5168043 D_5
D_5.272 21 36.8747881 D_5
D_5.273 21 57.8597442 D_5
D_5.274 22 57.7234788 D_5
D_5.275 22 37.2223051 D_5
D_5.276 23 57.7559521 D_5
codyn documentation built on Dec. 1, 2020, 9:09 a.m.
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Usage Arguments Value References Examples
Description
Calculates the differences in species composition within a community over increasing time intervals. Differences in species composition are characterized by Euclidean distances, which are calculated on pair-wise communities across the entire time series. For example, a data set with 6 time intervals will have distance values for five one-year time lags (year 1 vs year 2, year 2 vs year 3 ...), 4 two-year time lags (year 1 vs year 3, year 2 vs year 4 ...) and so forth. Returns the full set of community distance values and associated time lag intervals.
Usage
1 2 3 4 5 6 7 | rate_change_interval(
df,
time.var,
species.var,
abundance.var,
replicate.var = NA
)
|
Arguments
df |
A data frame containing time, species and abundance columns and an optional column of replicates |
time.var |
The name of the time column |
species.var |
The name of the species column |
abundance.var |
The name of the abundance column |
replicate.var |
The name of the optional replicate column |
Value
The rate_change_interval function returns a data frame with the following attributes:
interval: A numeric column containing the interval length between time periods.
distance: A numeric column containing the Euclidean distances.
replicate.var: A column that shares the same name and type as the replicate.var column in the input data frame.
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 must be a single abundance value per species within each time point and replicate.
References
Collins, S. L., Micheli, F. and Hartt, L. 2000. A method to determine rates and patterns of variability in ecological communities. - Oikos 91: 285-293.
Examples
1 2 3 4 5 6 7 8 9 10 11 12 | data(knz_001d)
rate_change_interval(knz_001d[knz_001d$subplot=="A_1",],
time.var = "year",
species.var = "species",
abundance.var = "abundance") # for one subplot
rate_change_interval(knz_001d,
time.var = "year",
species.var = "species",
abundance.var = "abundance",
replicate.var = "subplot") # across all subplots
|
Example output
interval distance
1 1 3.316625
2 1 97.403799
3 1 46.392349
4 1 4.183300
5 1 67.041032
6 1 27.486360
7 1 32.519225
8 1 28.753261
9 1 34.427460
10 1 23.900837
11 1 25.758494
12 1 5.590170
13 1 40.610959
14 1 27.982137
15 1 12.349089
16 1 33.919021
17 1 31.827661
18 1 17.161002
19 1 12.776932
20 1 4.387482
21 1 25.777898
22 1 34.510868
23 1 3.640055
24 2 99.947486
25 2 67.537027
26 2 46.553732
27 2 66.936537
28 2 75.990131
29 2 26.429151
30 2 31.124749
31 2 41.176450
32 2 38.026307
33 2 30.842341
34 2 27.013885
35 2 40.006250
36 2 35.238473
37 2 30.594117
38 2 36.939139
39 2 47.696960
40 2 42.976738
41 2 13.028814
42 2 13.038405
43 2 26.129485
44 2 17.363755
45 2 34.695101
46 3 70.197934
47 3 67.651681
48 3 91.960589
49 3 75.851829
50 3 72.608539
51 3 40.388736
52 3 53.870214
53 3 43.712126
54 3 41.809090
55 3 31.898276
56 3 30.830180
57 3 34.539832
58 3 32.569157
59 3 29.974990
60 3 49.899900
61 3 50.690236
62 3 34.383862
63 3 12.806248
64 3 36.715120
65 3 17.881555
66 3 17.356555
67 4 70.283355
68 4 28.429738
69 4 107.334757
70 4 72.591322
71 4 67.920910
72 4 56.758259
73 4 56.260555
74 4 34.514490
75 4 41.734278
76 4 35.153236
77 4 23.302360
78 4 32.473066
79 4 52.208716
80 4 29.974990
81 4 52.763624
82 4 49.469688
83 4 34.300146
84 4 22.660538
85 4 12.549900
86 4 17.535678
87 5 29.820295
88 5 15.724185
89 5 103.953114
90 5 67.920910
91 5 60.967204
92 5 57.595573
93 5 58.785627
94 5 34.423829
95 5 27.540879
96 5 27.445400
97 5 26.589472
98 5 52.148825
99 5 57.539117
100 5 29.874738
101 5 51.606686
102 5 49.284886
103 5 22.671568
104 5 12.308534
105 5 12.559857
106 6 15.692355
107 6 34.536213
108 6 103.266645
109 6 60.802960
110 6 62.451982
111 6 51.519414
112 6 58.966092
113 6 34.615748
114 6 39.786933
115 6 24.672860
116 6 49.320381
117 6 57.484781
118 6 54.920397
119 6 27.825348
120 6 51.380930
121 6 52.711479
122 6 41.279535
123 6 12.318685
124 7 34.745503
125 7 27.703790
126 7 101.223762
127 7 62.187217
128 7 64.631649
129 7 51.676881
130 7 37.593217
131 7 40.923710
132 7 37.168535
133 7 47.715302
134 7 54.927225
135 7 54.863467
136 7 56.293872
137 7 27.631504
138 7 54.799635
139 7 49.157909
140 7 41.282563
141 8 27.910571
142 8 52.232653
143 8 102.058807
144 8 64.476740
145 8 64.544558
146 8 39.360513
147 8 54.265551
148 8 38.219759
149 8 42.385139
150 8 53.467280
151 8 52.182373
152 8 56.393705
153 8 56.220548
154 8 37.563280
155 8 51.380930
156 8 49.287422
157 9 53.077773
158 9 53.698231
159 9 98.397154
160 9 64.428255
161 9 56.402571
162 9 56.037934
163 9 52.223079
164 9 43.309930
165 9 35.447144
166 9 50.668037
167 9 53.761045
168 9 56.431374
169 9 65.964005
170 9 32.388269
171 9 51.407684
172 10 54.497706
173 10 56.333826
174 10 98.339972
175 10 56.122634
176 10 66.863667
177 10 54.646592
178 10 46.019018
179 10 36.547914
180 10 30.033315
181 10 51.889305
182 10 53.800558
183 10 66.030296
184 10 56.198310
185 10 32.422986
186 11 57.092031
187 11 56.256111
188 11 92.916629
189 11 66.653957
190 11 65.174765
191 11 48.874840
192 11 21.266170
193 11 36.465737
194 11 32.050741
195 11 52.074466
196 11 63.914005
197 11 56.298313
198 11 56.196085
199 12 57.015349
200 12 33.181320
201 12 107.951378
202 12 65.044216
203 12 68.262362
204 12 26.902602
205 12 21.418450
206 12 38.307963
207 12 33.075671
208 12 62.563967
209 12 53.777319
210 12 56.296092
211 13 34.416566
212 13 54.593956
213 13 106.908840
214 13 68.163407
215 13 64.189174
216 13 25.879529
217 13 25.874698
218 13 38.395963
219 13 47.921811
220 13 52.194348
221 13 53.663302
222 14 55.326305
223 14 52.621288
224 14 104.067286
225 14 64.076127
226 14 57.452154
227 14 29.916551
228 14 26.004807
229 14 48.746795
230 14 33.256578
231 14 52.072065
232 15 53.385391
233 15 46.599356
234 15 95.731395
235 15 57.330184
236 15 58.740957
237 15 29.820295
238 15 40.221263
239 15 34.434721
240 15 33.260337
241 16 47.460510
242 16 22.505555
243 16 87.652724
244 16 58.753723
245 16 58.564067
246 16 43.500000
247 16 15.976545
248 16 34.626579
249 17 24.238399
250 17 12.825755
251 17 88.925531
252 17 58.572605
253 17 71.834880
254 17 22.994565
255 17 16.000000
256 18 15.748016
257 18 19.742087
258 18 88.822857
259 18 71.737368
260 18 63.005952
261 18 23.000000
262 19 21.754310
263 19 19.261360
264 19 101.575095
265 19 62.898728
266 19 63.103090
267 20 21.213203
268 20 40.743098
269 20 94.628220
270 20 62.992063
271 21 41.725292
272 21 17.219175
273 21 94.695565
274 22 19.429359
275 22 17.571283
276 23 19.754746
interval distance subplot
A_1.1 1 3.3166248 A_1
A_1.2 1 97.4037987 A_1
A_1.3 1 46.3923485 A_1
A_1.4 1 4.1833001 A_1
A_1.5 1 67.0410322 A_1
A_1.6 1 27.4863603 A_1
A_1.7 1 32.5192251 A_1
A_1.8 1 28.7532607 A_1
A_1.9 1 34.4274600 A_1
A_1.10 1 23.9008368 A_1
A_1.11 1 25.7584937 A_1
A_1.12 1 5.5901699 A_1
A_1.13 1 40.6109591 A_1
A_1.14 1 27.9821372 A_1
A_1.15 1 12.3490890 A_1
A_1.16 1 33.9190212 A_1
A_1.17 1 31.8276609 A_1
A_1.18 1 17.1610023 A_1
A_1.19 1 12.7769323 A_1
A_1.20 1 4.3874822 A_1
A_1.21 1 25.7778975 A_1
A_1.22 1 34.5108679 A_1
A_1.23 1 3.6400549 A_1
A_1.24 2 99.9474862 A_1
A_1.25 2 67.5370269 A_1
A_1.26 2 46.5537324 A_1
A_1.27 2 66.9365371 A_1
A_1.28 2 75.9901309 A_1
A_1.29 2 26.4291506 A_1
A_1.30 2 31.1247490 A_1
A_1.31 2 41.1764496 A_1
A_1.32 2 38.0263067 A_1
A_1.33 2 30.8423410 A_1
A_1.34 2 27.0138853 A_1
A_1.35 2 40.0062495 A_1
A_1.36 2 35.2384733 A_1
A_1.37 2 30.5941171 A_1
A_1.38 2 36.9391391 A_1
A_1.39 2 47.6969601 A_1
A_1.40 2 42.9767379 A_1
A_1.41 2 13.0288142 A_1
A_1.42 2 13.0384048 A_1
A_1.43 2 26.1294853 A_1
A_1.44 2 17.3637554 A_1
A_1.45 2 34.6951005 A_1
A_1.46 3 70.1979344 A_1
A_1.47 3 67.6516814 A_1
A_1.48 3 91.9605894 A_1
A_1.49 3 75.8518292 A_1
A_1.50 3 72.6085394 A_1
A_1.51 3 40.3887361 A_1
A_1.52 3 53.8702144 A_1
A_1.53 3 43.7121265 A_1
A_1.54 3 41.8090899 A_1
A_1.55 3 31.8982758 A_1
A_1.56 3 30.8301800 A_1
A_1.57 3 34.5398321 A_1
A_1.58 3 32.5691572 A_1
A_1.59 3 29.9749896 A_1
A_1.60 3 49.8998998 A_1
A_1.61 3 50.6902357 A_1
A_1.62 3 34.3838625 A_1
A_1.63 3 12.8062485 A_1
A_1.64 3 36.7151195 A_1
A_1.65 3 17.8815547 A_1
A_1.66 3 17.3565550 A_1
A_1.67 4 70.2833551 A_1
A_1.68 4 28.4297380 A_1
A_1.69 4 107.3347567 A_1
A_1.70 4 72.5913218 A_1
A_1.71 4 67.9209099 A_1
A_1.72 4 56.7582593 A_1
A_1.73 4 56.2605546 A_1
A_1.74 4 34.5144897 A_1
A_1.75 4 41.7342785 A_1
A_1.76 4 35.1532360 A_1
A_1.77 4 23.3023604 A_1
A_1.78 4 32.4730658 A_1
A_1.79 4 52.2087157 A_1
A_1.80 4 29.9749896 A_1
A_1.81 4 52.7636238 A_1
A_1.82 4 49.4696877 A_1
A_1.83 4 34.3001458 A_1
A_1.84 4 22.6605384 A_1
A_1.85 4 12.5499004 A_1
A_1.86 4 17.5356779 A_1
A_1.87 5 29.8202951 A_1
A_1.88 5 15.7241852 A_1
A_1.89 5 103.9531144 A_1
A_1.90 5 67.9209099 A_1
A_1.91 5 60.9672043 A_1
A_1.92 5 57.5955727 A_1
A_1.93 5 58.7856275 A_1
A_1.94 5 34.4238290 A_1
A_1.95 5 27.5408787 A_1
A_1.96 5 27.4454003 A_1
A_1.97 5 26.5894716 A_1
A_1.98 5 52.1488255 A_1
A_1.99 5 57.5391171 A_1
A_1.100 5 29.8747385 A_1
A_1.101 5 51.6066856 A_1
A_1.102 5 49.2848861 A_1
A_1.103 5 22.6715681 A_1
A_1.104 5 12.3085336 A_1
A_1.105 5 12.5598567 A_1
A_1.106 6 15.6923548 A_1
A_1.107 6 34.5362129 A_1
A_1.108 6 103.2666451 A_1
A_1.109 6 60.8029605 A_1
A_1.110 6 62.4519816 A_1
A_1.111 6 51.5194138 A_1
A_1.112 6 58.9660920 A_1
A_1.113 6 34.6157479 A_1
A_1.114 6 39.7869325 A_1
A_1.115 6 24.6728596 A_1
A_1.116 6 49.3203812 A_1
A_1.117 6 57.4847806 A_1
A_1.118 6 54.9203969 A_1
A_1.119 6 27.8253482 A_1
A_1.120 6 51.3809303 A_1
A_1.121 6 52.7114788 A_1
A_1.122 6 41.2795349 A_1
A_1.123 6 12.3186850 A_1
A_1.124 7 34.7455033 A_1
A_1.125 7 27.7037904 A_1
A_1.126 7 101.2237620 A_1
A_1.127 7 62.1872173 A_1
A_1.128 7 64.6316486 A_1
A_1.129 7 51.6768807 A_1
A_1.130 7 37.5932175 A_1
A_1.131 7 40.9237095 A_1
A_1.132 7 37.1685351 A_1
A_1.133 7 47.7153015 A_1
A_1.134 7 54.9272246 A_1
A_1.135 7 54.8634669 A_1
A_1.136 7 56.2938718 A_1
A_1.137 7 27.6315038 A_1
A_1.138 7 54.7996350 A_1
A_1.139 7 49.1579088 A_1
A_1.140 7 41.2825629 A_1
A_1.141 8 27.9105715 A_1
A_1.142 8 52.2326526 A_1
A_1.143 8 102.0588066 A_1
A_1.144 8 64.4767400 A_1
A_1.145 8 64.5445583 A_1
A_1.146 8 39.3605132 A_1
A_1.147 8 54.2655508 A_1
A_1.148 8 38.2197593 A_1
A_1.149 8 42.3851389 A_1
A_1.150 8 53.4672797 A_1
A_1.151 8 52.1823725 A_1
A_1.152 8 56.3937053 A_1
A_1.153 8 56.2205478 A_1
A_1.154 8 37.5632799 A_1
A_1.155 8 51.3809303 A_1
A_1.156 8 49.2874223 A_1
A_1.157 9 53.0777731 A_1
A_1.158 9 53.6982309 A_1
A_1.159 9 98.3971544 A_1
A_1.160 9 64.4282547 A_1
A_1.161 9 56.4025709 A_1
A_1.162 9 56.0379336 A_1
A_1.163 9 52.2230792 A_1
A_1.164 9 43.3099296 A_1
A_1.165 9 35.4471437 A_1
A_1.166 9 50.6680373 A_1
A_1.167 9 53.7610454 A_1
A_1.168 9 56.4313743 A_1
A_1.169 9 65.9640053 A_1
A_1.170 9 32.3882695 A_1
A_1.171 9 51.4076843 A_1
A_1.172 10 54.4977064 A_1
A_1.173 10 56.3338264 A_1
A_1.174 10 98.3399715 A_1
A_1.175 10 56.1226336 A_1
A_1.176 10 66.8636673 A_1
A_1.177 10 54.6465918 A_1
A_1.178 10 46.0190178 A_1
A_1.179 10 36.5479138 A_1
A_1.180 10 30.0333148 A_1
A_1.181 10 51.8893053 A_1
A_1.182 10 53.8005576 A_1
A_1.183 10 66.0302961 A_1
A_1.184 10 56.1983096 A_1
A_1.185 10 32.4229857 A_1
A_1.186 11 57.0920310 A_1
A_1.187 11 56.2561108 A_1
A_1.188 11 92.9166293 A_1
A_1.189 11 66.6539571 A_1
A_1.190 11 65.1747651 A_1
A_1.191 11 48.8748402 A_1
A_1.192 11 21.2661703 A_1
A_1.193 11 36.4657373 A_1
A_1.194 11 32.0507410 A_1
A_1.195 11 52.0744659 A_1
A_1.196 11 63.9140047 A_1
A_1.197 11 56.2983126 A_1
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B_4.18 1 1.0000000 B_4
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B_5.2 1 13.3977610 B_5
B_5.3 1 13.1909060 B_5
B_5.4 1 37.7557943 B_5
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B_5.6 1 27.2671964 B_5
B_5.7 1 21.5522621 B_5
B_5.8 1 13.3135270 B_5
B_5.9 1 33.6377764 B_5
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B_5.11 1 6.8738635 B_5
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B_5.13 1 13.5830777 B_5
B_5.14 1 25.0099980 B_5
B_5.15 1 3.8078866 B_5
B_5.16 1 1.1180340 B_5
B_5.17 1 2.6457513 B_5
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B_5.19 1 13.5000000 B_5
B_5.20 1 51.9687406 B_5
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B_5.24 2 59.1248679 B_5
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B_5.46 3 60.4793353 B_5
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D_4.19 1 5.1234754 D_4
D_4.20 1 3.5355339 D_4
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D_4.79 4 6.8738635 D_4
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D_4.81 4 6.5000000 D_4
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D_4.89 5 63.9003130 D_4
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D_5.2 1 27.8702350 D_5
D_5.3 1 25.7245019 D_5
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D_5.5 1 38.5486705 D_5
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D_5.13 1 25.9951919 D_5
D_5.14 1 5.1720402 D_5
D_5.15 1 13.4814688 D_5
D_5.16 1 1.1180340 D_5
D_5.17 1 12.7867119 D_5
D_5.18 1 3.6400549 D_5
D_5.19 1 2.5980762 D_5
D_5.20 1 12.0312094 D_5
D_5.21 1 14.5172311 D_5
D_5.22 1 13.0288142 D_5
D_5.23 1 17.8955302 D_5
D_5.24 2 19.0394328 D_5
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D_5.26 2 28.1069386 D_5
D_5.27 2 41.4095400 D_5
D_5.28 2 66.2947962 D_5
D_5.29 2 47.4631436 D_5
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D_5.31 2 32.2102468 D_5
D_5.32 2 23.4787138 D_5
D_5.33 2 26.2249881 D_5
D_5.34 2 25.4558441 D_5
D_5.35 2 32.5576412 D_5
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D_5.37 2 13.3977610 D_5
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D_5.102 5 19.0000000 D_5
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D_5.218 13 22.9183333 D_5
D_5.219 13 29.5423425 D_5
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D_5.265 19 50.8601022 D_5
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D_5.272 21 36.8747881 D_5
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D_5.274 22 57.7234788 D_5
D_5.275 22 37.2223051 D_5
D_5.276 23 57.7559521 D_5
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