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Title:
Common Garden Experiment: Seedling addition experiment - growth and biomass data
Access rights:
Free for public
Usage rights:
No information available
Published:
No information available
Abstract:
While coexistence in plant communities is frequently explained by effects of resource niche partitioning, the Janzen-Connell (J-C) hypothesis is an alternative approach that has been assumed as a major ecological mechanism explaining high species richness levels, in particular, in tropical forest ecosystems. Central components of the J-C hypothesis are non-competitive effects of density- and distance-dependence, thereby two drivers that contribute independently to species coexistence, but that are ultimately linked in the field. Here, we make use of the forest Biodiversity-Ecosystem Functioning project in subtropical China (BEF-China) to estimate density and distance dependence effects by means of a reciprocal tree seedling transplant experiment. Using monocultures of ten and seven tree species, respectively planted at two different sites, juveniles of all species were grown in their own (home) and in all other monocultures (away), thereby testing for distance effect, just as in three different levels of planting density, testing for density effects (see "Main Experiment: Seedling addition experiment - growth and biomass data" for further details) In addition, we repeated a similar set-up in a nearby common garden experiment, where we added a 'shadow' treatment to simulate different light conditions induced by the canopy layer. The general aim of the common garden experiment is to test for additional density dependent intraspecific competition for light in the absence of host-specific agents necessary for J-C effects. Density dependent patterns that are prevalent in the main experiment, while not being prevalent in the common garden experiment can be considered true J-C effects.
Design:
From the 11 different tree species used in the main experiment juvenile plants from 8 different tree species have been implemented in an additional common garden experiment established on a former agricultural used field nearby (former Pilot Experiment). Each species was planted at density levels of 1, 4, 9 and 25 individuals. Each species × density combination was grown in plots either established as 'shadow' or 'light'-treatment (3 replicates each). Each plot consisted of 1 species with 0.5 x 0.5 m2 in size (corresponding to the size of one splitplot of the main experiment). Plots established as 'shadow'-treatment have been surrounded by a container with 1.2 m in height wrapped in a shadow net. On the north facing site each shadow net was then opened up to 0.5 m in hight to provide a more suitable microclimate and prevent natural enemies exclusion. Each species X density X treatment combination was randomly allocated within the area of approximately 135 m2. The general aim of the common garden experiment is to test for density-dependent intraspecific competition effects as well as light and drought dependent mortality rates by excluding host-specific agents necessary for J-C effects.
Spatial extent:
Pilot experiment
Temporal extent:
No information available
Taxonomic extent:
No information available
Measurement cirumstances:
No information available
Data analysis:
No information available

Filter:
Dataset column

Name:
Samplenr
Definition:
An individual number for each taken sample
Unit:
No information available
Datagroup:
Helper
Keywords:
No information available
Values:
100.01.1
100.01.0
100.01.3
100.01.2
100.02.0
Contributors:
No information available

Dataset column

Name:
Seedlingnr
Definition:
An individual number for each seedling
Unit:
No information available
Datagroup:
Helper
Keywords:
No information available
Values:
100.04
100.05
100.02
100.01
100.03
Contributors:
No information available

Dataset column

Name:
Plot
Definition:
Plot
Unit:
No information available
Datagroup:
Helper
Keywords:
No information available
Values:
103
101
100
102
1
Contributors:
No information available

Dataset column

Name:
Record
Definition:
number for the records
Unit:
No information available
Datagroup:
Helper
Keywords:
No information available
Values:
2
3
1
0
Contributors:
No information available

Dataset column

Name:
Date
Definition:
Month and year of record
Unit:
No information available
Datagroup:
Date time information
Keywords:
No information available
Values:
July_2015
August_2015
September_2015
September_2016
Contributors:
No information available

Dataset column

Name:
Planted_Species
Definition:
Species planted. The scientific species fullnames are based on the "Flora of China". Scientific species names consist of epithet and genus.
Unit:
No information available
Datagroup:
Scientific plant species name
Keywords:
No information available
Values:
D.glaucifolia
C.sclerophylla
L.formosana
C.fargesii
C.glauca
Contributors:
No information available

Dataset column

Name:
Density
Definition:
Density of planted species within each splitplot
Unit:
No information available
Datagroup:
Seedling Density
Keywords:
No information available
Values:
9
4
1
25
Contributors:
No information available

Dataset column

Name:
Treatment
Definition:
indicator for species either planted in plots with shadow net (= shadow) or without shadow net (= light); Datagroup description: treatment of each Plot
Unit:
No information available
Datagroup:
Treatment
Keywords:
No information available
Values:
Shadow
Light
Contributors:
No information available

Dataset column

Name:
Dead
Definition:
indicator for species dead (1) or alive (0)
Unit:
No information available
Datagroup:
Living status
Keywords:
No information available
Values:
0
1
Contributors:
No information available

Dataset column

Name:
Height_P
Definition:
Height of the seedling up to the last photosynthetically active tissue
Unit:
cm
Datagroup:
Plant height
Keywords:
No information available
Values:
0
101
1
100
10
Contributors:
No information available

Dataset column

Name:
Height_G
Definition:
Height of the seedling up to the last still living tissue
Unit:
cm
Datagroup:
Plant height
Keywords:
No information available
Values:
10.3
10.1
10.2
104
10
Contributors:
No information available

Dataset column

Name:
Leaves_Liv
Definition:
Number of living leaves
Unit:
No information available
Datagroup:
Plant leaf number
Keywords:
No information available
Values:
10
0
101
1
100
Contributors:
No information available

Dataset column

Name:
Leaves_Dam
Definition:
Number of damaged leaves
Unit:
No information available
Datagroup:
Plant leaf number
Keywords:
No information available
Values:
0
1
100
10
101
Contributors:
No information available

Dataset column

Name:
Leaves_Dead
Definition:
Number of dead leaves on seedling
Unit:
No information available
Datagroup:
Plant leaf number
Keywords:
No information available
Values:
0.1
1
15
0
13
Contributors:
No information available

Dataset column

Name:
Damage_pro
Definition:
estimated leave damage in percent
Unit:
in percent
Datagroup:
Herbivore damage
Keywords:
No information available
Values:
0.5
0.1
0.3
0.2
0
Contributors:
No information available

Dataset column

Name:
Biomass_Above
Definition:
aboveground dry matter biomass in Sep. 2016
Unit:
g
Datagroup:
Above and below ground biomass measurement
Keywords:
No information available
Values:
0.15
0.01
0.21
0.23
0.2
Contributors:
No information available

Dataset column

Name:
Biomass_Below
Definition:
belowground dry matter biomass in Sep. 2016
Unit:
No information available
Datagroup:
Above and below ground biomass measurement
Keywords:
No information available
Values:
0.08
0.09
0.04
0.05
0.1
Contributors:
No information available

No information available


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140 germany medium

Markus
Germany

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22 erfmeier medium

Alexandra
Erfmeier

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