Bongers et al _JoE_data

Usage Rights

This data is Free for public.

Permission is granted to anybody to access, use and publish all open for public data freely. The commercial use of any data is prohibited. The quality and completeness of data cannot be guaranteed. Users employ these data at their own risk. In order to make attribution of use for owners of the data possible, the identifier of ownership of data must be retained with every data record. Users must publicly acknowledge, in conjunction with the use of the data, the data owners.

Cite the data as follows:

Liu, X. (2019): Bongers et al _JoE_data. (Accessed through URL: http://china.befdata.biow.uni-leipzig.de/datasets/602)

Dataset Abstract

Understanding how species diversity affects plant performance is a central question in biodiversity–ecosystem functioning (BEF) research. At the community level, functional trait means and trait dissimilarities have been used to explain biodiversity effects, but with mixed success. To disentangle how functional traits explain community growth and underpin biodiversity–ecosystem functioning relationships, we should elucidate how plant traits affect individual growth across species richness levels, because the role of functional traits on growth depends on the ecological context of the individual.

Dataset Design

We addressed this topic by using detailed data of twelve functional traits and annual growth for 529 individual trees of 31 species at five species-richness levels in a large forest biodiversity experiment in south-east China from 4–9 years after planting. Functional traits were measured at the end of the growing season from September to October in 2014 and 2015 in 59 plots from both sites. Originally, we planned to sample traits from four individual trees per species per richness level. However, due to logistical constrains (e.g. tree mortality in some plots) the final sample included 529 trees from 31 species.

Published

Growth–trait relationships in subtropical forest are stronger at higher diversity

Data columns available in the raw data part of this dataset

id
id-tag
Data group: id-tag
Values
ind102
ind100
ind101
ind1
ind10
site
site
Data group: site
Values
A
B
PTAG
plot number
Data group: PTAG
Values
p103320
p106210
p105330
p105340
p105310
PR
plot richness
Data group: plot diversity
Values
1
8
4
16
2
NR
neighbour richness
Data group: neighbour diversity
Values
1
5
4
2
3
species
species ID
Data group: species ID
Values
SP10
SP13
SP1
SP11
SP12
branchNR
number of branches
Data group: trait
Values
0
10
12
11
1
WD
Wood density
Data group: trait
Values
0.263
0.273
0.164
0.232
0.249
LA
leaf area
Data group: trait
Values
10.116
10.011
10.034
10.216
10.15
SLA
specific leaf area
Data group: trait
Values
100.0628853
100.985
100.7395911
100.576
101.077802
CHL
chlorophyll content
Data group: trait
Values
20
20.6
22.2
14.9
21.1
LN
leaf nitrogen content
Data group: trait
Values
10.041
10.078
10.319
10.242
10.372
LP
leaf phosphorus content
Data group: trait
Values
0.35
0.21
0.34
0.32
0.36
LC
leaf carbon
Data group: trait
Values
393.18
394.77
382.15
381.21
397.54
SD
stomatal density
Data group: trait
Values
1042
1037
1034
1035
1021
SA
stomatal aperture
Data group: trait
Values
101.1970148
100.4176917
101.8450617
102.1928721
101.4065771
O1_D
first order root diameter
Data group: trait
Values
0.124
0.19
0.195
0.13
0.182
O1_SRL
first order specific root length
Data group: trait
Values
104.707
101.612
100.958
100.495
102.577
BA13
basal area in 2013
Data group: Basal area
Values
0.070685835
0.282743339
0.196349541
0.125663706
0.007853982
BA14
basal area in 2014
Data group: Basal area
Values
0.282743339
0.007853982
0.3848451
0.125663706
0.502654825
BA15
basal area in 2015
Data group: Basal area
Values
0.3848451
0.785398163
0.125663706
0.636172512
0.196349541
BA16
basal area in 2016
Data group: Basal area
Values
0.708821842
0.070685835
0.282743339
0.031415927
0.636172512
BA17
basal area in 2017
Data group: Basal area
Values
100.2874915
0.636172512
0.785398163
0.196349541
0.070685835
BA18
basal area in 2018
Data group: Basal area
Values
103.8689071
10.1787602
0.070685835
100.2874915
102.0703453