CSPs: Tree and shrub functional diversity, dissimilarity and eveness in the CSPs

Usage Rights

This data is Free within projects.

BEF-China intern

Dataset Abstract

Functional diversity, dissimilarity and eveness based on the following traits... Functional diversity is .... Dissimilarity is ... Eveness is... Calculated as... (from the manuscripts). Generation of random traits...

Dataset Design

sampling design

Spatial Extent

Gutianshan National Nature Reserve, Comparative study sites (CSPs)
29°08'-29°17'N
118°02'-118°11'E

Published

Böhnke et al. 2011, Ecol. Letters

Temporal Extent

2008-2009

Taxonomic Extent

Plant traits were taken from wood and leaf traits of the plants in the CSPs

Data Analysis

These are highly aggregated values based on traits of plant organs. They can be used to characerize plots.

Freeformat files (1)

  • functional diversity CSPs.xls (71 KB)
    extensive information not only on functional diversity but also simulated functional diversity --- probably Martin Boehnkes dataset on all leaf traits

Paper proposal submissions

Published

2013

2012

Data columns available in the raw data part of this dataset

CSP
name of the CSP in the Nature ReserveBEF research plot nameReasearch plots of the Biodiversity - Ecosystem functioning experiment (BEF-China). There are three main sites for research plots in the BEF Experiment: Comparative Study Plots (CSP) in the Gutianshan Nature Reserve, having a size of 30x30m^2, measured on the ground.
Data group: BEF research plot name
Keywords: CSP
Values
CSP05
CSP03
CSP04
CSP01
CSP02
Species richness tababu3
Species richness of trees and shrubs, considering only those species in Böhnke et al. 2011, Ecol. Letters, i.e. those species for which there are traits
Data group: Taxonomic biodiversity
Keywords: species richness
Values
29
32
23
25
26
tababu3_shannon
Shannon diversity of "Species richness tababu3", used in Fig. 1a in Böhnke et al. 2011, Ecol. Letters
Data group: Taxonomic biodiversity
Keywords: shannon diversity
Values
2.315481
1.855034
1.721742
2.100328
2.107889
tababu3_evenness
Evenness of "Species richness tababu3", used in Fig. 1b in Böhnke et al. 2011, Ecol. Letters
Data group: Taxonomic biodiversity
Keywords: biodiversity, eveness
Values
0.6237433
0.5882175
0.6807213
0.5284503
0.5508974
FD_Q
FD_Q Observed functional diversity calculated from the full set of the measured 26 traits, used in Fig. 2a in Böhnke et al. 2011, Ecol. Letters
Data group: Functional biodiversity
Keywords: functional biodiversity, Rao's Q
Values
0.3102272
0.2880409
0.2944587
0.3143548
0.3125552
TD_Q
TD_Q Observed trait dissimilarity calculated from the full set of the measured 26 traits, used in Fig. 2b in Böhnke et al. 2011, Ecol. Letters
Data group: Functional biodiversity
Keywords: trait dissimilarity
Values
0.392364
0.4077938
0.4051133
0.3693649
0.3908442
FE_Q
FE_Q Observed functional evenness calculated from the full set of the measured 26 traits, used in Fig. 2c in Böhnke et al. 2011, Ecol. Letters
Data group: Functional biodiversity
Keywords: functional eveness
Values
0.6545339
0.6997648
0.6938214
0.6812234
0.6898711
FD_Q_Random_within_Pool
FD_Q Functional diversity calculated as the mean of 1000 runs with randomly selected trait sets, obtained by randomizing trait sets across the trait pool of 120 species, used in Fig. 4a in Böhnke et al. 2011, Ecol. Letters
Data group: Functional biodiversity
Values
0.358051088
0.378198691
0.392333098
0.410336284
0.342676362
FD_Q_Random_within_Succ
FD_Q Functional diversity calculated as the mean of 1000 runs with randomly selected trait sets, obtained by randomizing trait sets within the successional stage to which the CSP belonged, used in Fig. 4b in Böhnke et al. 2011, Ecol. Letters
Data group: Functional biodiversity
Values
0.343971187
0.3651703
0.360145007
0.391892779
0.396076748
FD_Q_Random_within_CSP
FD_Q Functional diversity calculated as the mean of 1000 runs with randomly selected trait sets, obtained by randomizing trait sets within each CSP, i.e. by reshuffling the trait sets among species, used in Fig. 4c in Böhnke et al. 2011, Ecol. Letters
Data group: Functional biodiversity
Values
0.344344837
0.370322947
0.33642673
0.361775528
0.34970979
TD_Q_Random_within_Pool
TD_Q Trait dissimilarity calculated as the mean of 1000 runs with randomly selected trait sets, obtained by randomizing trait sets across the trait pool of 120 species, not in Böhnke et al. 2011, Ecol. Letters, but corresponding to FD_Q in Fig. 4a
Data group: Functional biodiversity
Values
0.466701487
0.467426479
0.466178187
0.469091428
0.469512203
FE_Q_Random_within_Pool
FE_Q Functional evenness calculated as the mean of 1000 runs with randomly selected trait sets, obtained by randomizing trait sets across the trait pool of 120 species, not in Böhnke et al. 2011, Ecol. Letters, but corresponding to FD_Q in Fig. 4a
Data group: Functional biodiversity
Values
0.872857236
0.80302284
0.827506453
0.761120461
0.73046254
FD_Q_All_Col_N_Species
FD_Q Functional diversity calculated as the mean of 1000 runs with randomly chosen 20 species out of the total species number of a CSP, used in Fig. 5a in Böhnke et al. 2011, Ecol. Letters
Data group: Functional biodiversity
Values
0.278346851
0.297925678
0.27781185
0.291443368
0.284341915
TD_Q_All_Col_N_Species
TD_Q Trait dissimilarity calculated as the mean of 1000 runs with randomly chosen 20 species out of the total species number of a CSP, used in Fig. 5b in Böhnke et al. 2011, Ecol. Letters
Data group: Functional biodiversity
Values
0.383081789
0.400545606
0.364978829
0.38246236
0.397615284
FE_Q_All_Col_N_Species
FE_Q Functional evenness calculated as the mean of 1000 runs with randomly chosen 20 species out of the total species number of a CSP, used in Fig. 5c in Böhnke et al. 2011, Ecol. Letters
Data group: Functional biodiversity
Values
0.647582317
0.668420644
0.603000358
0.640159867
0.679027136
FD_Q_PCA_Traits
FD_Q Functional diversity calculated from the eight most uncorrelatedeight traits as obtained by a PCA of the trait matrix, mentioned in the results in in Böhnke et al. 2011, Ecol. Letters
Data group: Functional biodiversity
Values
0.2697912
0.2920481
0.3148784
0.3123315
0.3038107
TD_Q_PCA_Traits
TD_Q Trait dissimilaritycalculated from the eight most uncorrelatedeight traits as obtained by a PCA of the trait matrix, mentioned in the results in in Böhnke et al. 2011, Ecol. Letters
Data group: Functional biodiversity
Values
0.3872339
0.403129
0.4023975
0.3662365
0.4112088
FE_Q_PCA_Traits
FE_Q Functional evenness calculated from the eight most uncorrelatedeight traits as obtained by a PCA of the trait matrix, mentioned in the results in in Böhnke et al. 2011, Ecol. Letters
Data group: Functional biodiversity
Values
0.6681977
0.6297643
0.681458
0.692363
0.67282
FD_Q_Random_Traits
FD_Q Functional diversity calculated from the mean of 1000 runs with randomly selected eight traits, used in Fig. 3a in Böhnke et al. 2011, Ecol. Letters
Data group: Functional biodiversity
Values
0.310829002
0.292989973
0.286489884
0.31365288
0.308751558
TD_Q_Random_Traits
TD_Q trait dissimilarity calculated from the mean of 1000 runs with randomly selected eight traits, used in Fig. 3b Böhnke et al. 2011, Ecol. Letters
Data group: Functional biodiversity
Values
0.390288026
0.40310526
0.391473796
0.368267165
0.407153359
FE_Q_Random_Traits
FE_Q functional evenness calculated from the mean of 1000 runs with randomly selected eight traits, used in Fig. 3c in Böhnke et al. 2011, Ecol. Letters
Data group: Functional biodiversity
Values
0.697631258
0.689154385
0.653103249
0.677577895
0.691952608
FD_Q_PCA8
FD_Q Functional diversity calculated from the scores of the first eight PCA scores of the trait matrix, mentioned in the results in in Böhnke et al. 2011, Ecol. Letters
Data group: Functional biodiversity
Values
0.4903133
0.5107872
0.484401
0.5067161
0.4725349
TD_Q_PCA8
TD_Q Trait dissimilarity calculated from the scores of the first eight PCA scores of the trait matrix, mentioned in the results in in Böhnke et al. 2011, Ecol. Letters
Data group: Functional biodiversity
Values
0.6076254
0.6318464
0.688583
0.6537424
0.675669
FE_Q_PCA8
FE_Q Functional evenness calculated from the scores of the first eight PCA scores of the trait matrix, mentioned in the results in in Böhnke et al. 2011, Ecol. Letters
Data group: Functional biodiversity
Values
0.6718228
0.6851119
0.6917671
0.6556521
0.6929662