Title:
Pilot experiment: tree - herb interactions and invasibility of exotic species
Access rights:
Free for public
Usage rights:
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: Erfmeier, A. and Both, S. (2013): Tree - herb interactions and invasibility of exotic species. BEF-China data portal (Accessed through URL http://china.befdata.biow.uni-leipzig.de/datasets/429)
Published:
Both S, Fang T, Baruffol M, Schmid B, Bruelheide H, Erfmeier A (2012). Effects of tree sapling diversity and nutrient addition on herb-layer invasibility in communities of subtropical species. Open Journal of Ecology 2(1). http://www.scirp.org/journal/Pap
Abstract:
Exotic species are assumed to alter ecosystem functioning. However, little is known of the relationships within vertically structured plant communities such as forests, where tree saplings interact with herbaceous species, especially in the early phases of succession. This relationship was tested in a common garden experiment which assessed the impacts on tree saplings and herbaceous species following nutrient addition and the introduction of exotic herb species. We studied the relationships between tree sapling diversity, herb-layer productivity and invasibility in an early-successional forest ecosystem. A full factorial design was applied, within which species com- position was crossed with nutrient and exotic seed-addition treatments. The seed-addition treatment included mixtures of seeds from eight exotic herb species, and herb community attributes were assessed after a four month growing season.
Design:
We applied fertilizer and exotic seed-addition treatments in a factorial design to randomly chosen plots. Eight exotic herbaceous species, selected according to their abundance in the Jiangxi and nearby Zhejiang provinces (seeds collected in 2008), were used for the seed-addition. Each exotic species was represented by 150 seeds per seed mixture applied to each plot. Fertilizer was applied shortly before seed-addition and plots received 13 g·N·m2·yr–1 added as NPK (17-13-15) standard fertilizer. At the end of May 2009, after weeding of the plots, the seed mixtures were sown into the bare ground at the centre of each plot (0.6 m × 0.6 m) along with four tree saplings, representing the respective tree diversity level. The remaining plot area acted as a buffer zone with the same treatment combination (tree diversity × fertilizer) but without seed-addition. At the end of September 2009, the total number of individuals (abundance) and the number of reproducing individuals of each herb species were counted. The height of each species was assessed by averaging the height of five randomly selected individuals. These values were used to calculate the abundance-weighted mean height of the herb-layer. In addition, herb-layer aboveground biomass was determined by harvesting each species separately. The harvested plant material was oven-dried (70°C 48 h) and weighed.
Spatial extent:
Pilot Experiment, Xingangshan, Jiangxi Province, China
29°06'N
117°55'E
Temporal extent:
Final harvest of the SP11 Pilot experimental plots was conducted in September 2009
Taxonomic extent:
Exotic herbaceous species were Ageratum conyzoides, Amaranthus spinosus, Chenopodium ambrosioides, Crassocephalum crepidioides, Oenothera biennis, Phytolacca americana, Sesbania cannabina and Solidago canadensis. Tree species used: Elaeocarpus decipiens, Schima superba, Quercus serrata, Castanea henryi
Measurement cirumstances:
No information available
Data analysis:
The variables of interest were invasibility measures like cover and abundance (cover, abundance) of introduced exotic species. In addition, fitness variables like number of flowering or fruiting individuals (ind_with_flow, ind_with_fruits) verify the success of the exotic species and the resident native species. On the community level the productivity of the herb-layer can be assessed by summing up biomass of each species (total_BM) and then can be analysed as a function of the treatments applied (seed_add, fert).
Filter:
Dataset column
Name:
date
Definition:
date
Unit:
No information available
Datagroup:
Date time information
Keywords:
date
Values:
2009-09-19 |
2009-09-22 |
2009-09-20 |
2009-09-21 |
2009-09-23 |
Contributors:
No information available
Dataset column
Name:
block
Definition:
block within pilot experiment
Unit:
No information available
Datagroup:
Block code in the pilot experiment
Keywords:
Pilot experiment, location, block
Values:
1 |
3 |
4 |
2 |
Contributors:
No information available
Dataset column
Name:
plot_old
Definition:
plot identification within pilot experiment
Unit:
No information available
Datagroup:
Helper
Keywords:
Pilot experiment, location, plot
Values:
AF1 |
AF11 |
AF12 |
AF10 |
AF2 |
Contributors:
No information available
Dataset column
Name:
plot_id
Definition:
The community code combines the block number (numbers with _), plot tree community (as numbers) and the plot allocation to a subgroup (as letters)
Unit:
No information available
Datagroup:
BEF research plot name
Keywords:
Pilot experiment, location, plot
Values:
pilot1AF03 |
2_AF12 |
4_AF12 |
pilot1AF01 |
pilot1AF02 |
Contributors:
No information available
Dataset column
Name:
tree_diversity
Definition:
tree diversity of the plot
Unit:
No information available
Datagroup:
Taxonomic biodiversity
Keywords:
Diversity level
Values:
0 |
1 |
4 |
2 |
Contributors:
No information available
Dataset column
Name:
tree_species
Definition:
tree species present in the plot
Unit:
No information available
Datagroup:
Community Composition
Keywords:
Composition
Values:
Castanea_Elaeocarpus_Quercus_Schima |
Castanea_Quercus |
Castanea |
0 |
Elaeocarpus |
Contributors:
No information available
Dataset column
Name:
seed_add
Definition:
seed addition treatment; s= seeds added; ns= no seeds added
Unit:
No information available
Datagroup:
Treatment in the Pilot Experiment
Keywords:
experimental treatment, seed addition
Values:
s |
ns |
Contributors:
No information available
Dataset column
Name:
fert
Definition:
fertilizer application treatment, f= fertilized; nf= non-fertilized
Unit:
No information available
Datagroup:
Treatment in the Pilot Experiment
Keywords:
experimental treatment, fertilizer
Values:
nf |
f |
Contributors:
No information available
Dataset column
Name:
species
Definition:
species monitored in the herb-layer
Unit:
No information available
Datagroup:
Scientific plant species name
Keywords:
herbs, species
Values:
Alternthera philoxeroides |
Acalypha australis |
Amaranthus spinosus |
Ageratum conyzoides |
Alternthera sessilis |
Contributors:
Dataset column
Name:
species_approx
Definition:
where exact determination was not possible. approximate species name are given here as information
Unit:
No information available
Datagroup:
Helper
Keywords:
herbs, species
Values:
Alternthera philoxeroides |
Acalypha australis |
Ageratum conyzoides |
Alternthera sessilis |
Amaranthus spinosus |
Contributors:
Dataset column
Name:
status_species
Definition:
status of the species monitored in the herb-layer, e= exotic, n= native
Unit:
No information available
Datagroup:
Species status (native, exotic)
Keywords:
exotic species, native species
Values:
e |
n |
Contributors:
No information available
Dataset column
Name:
cover
Definition:
cover of the species monitored in the herb layer
Unit:
percent
Datagroup:
Cover of species
Keywords:
herbs, vegetation cover
Values:
1 |
0 |
10 |
12 |
15 |
Contributors:
No information available
Dataset column
Name:
abundance
Definition:
abundance of the species monitored in the herb layer
Unit:
No information available
Datagroup:
Abundance
Keywords:
herbs, abundance
Values:
1 |
0 |
11 |
12 |
10 |
Contributors:
No information available
Dataset column
Name:
ind_with_flow
Definition:
number of individuals of the respective species showing flowers
Unit:
No information available
Datagroup:
Reproductive organs
Keywords:
reproductive organs, flowers
Values:
0 |
1 |
12 |
10 |
11 |
Contributors:
No information available
Dataset column
Name:
ind_with_fruits
Definition:
number of individuals of the respective species showing fruits
Unit:
No information available
Datagroup:
Reproductive organs
Keywords:
reproductive organs, fruits
Values:
14 |
0 |
11 |
10 |
1 |
Contributors:
No information available
Dataset column
Name:
ind_with_flowfruit
Definition:
number of individuals of the respective species showing flowers and fruits
Unit:
No information available
Datagroup:
Reproductive organs
Keywords:
reproductive organs, flowers, fruits
Values:
12 |
11 |
10 |
0 |
1 |
Contributors:
No information available
Dataset column
Name:
ind_without_repr_org
Definition:
number of individuals of the respective species showing no reproductive organs
Unit:
No information available
Datagroup:
Reproductive organs
Keywords:
reproductive organs, flowers, fruits
Values:
0 |
10 |
1 |
12 |
11 |
Contributors:
No information available
Dataset column
Name:
average_height
Definition:
average height of the respective species
Unit:
centimeter
Datagroup:
Plant height
Keywords:
species, height
Values:
10 |
110 |
105 |
100 |
11 |
Contributors:
No information available
Dataset column
Name:
max_height
Definition:
maximal height of the respective species
Unit:
centimeter
Datagroup:
Plant height
Keywords:
species, height
Values:
101 |
10 |
103 |
100 |
102 |
Contributors:
No information available
Dataset column
Name:
plot_block
Definition:
unique identification of plot within block
Unit:
No information available
Datagroup:
Pilot Experiment: Plot ID
Keywords:
plot
Values:
AF1_1 |
AF10_4 |
AF10_2 |
AF10_3 |
AF10_1 |
Contributors:
No information available
Dataset column
Name:
total_BM
Definition:
total aboveground biomass of all individuals of the respective species
Unit:
gram
Datagroup:
Above and below ground biomass measurement
Keywords:
herbs, aboveground biomass
Values:
0.004 |
0.001 |
0.008 |
0.01 |
0.011 |
Contributors:
No information available
Dataset column
Name:
shoot_BM
Definition:
biomass of shoots of all individuals of the respective species
Unit:
gram
Datagroup:
Above and below ground biomass measurement
Keywords:
herbs, aboveground biomass, shoot
Values:
0.005 |
0.01 |
0.001 |
0.002 |
0.004 |
Contributors:
No information available
Dataset column
Name:
leaves_BM
Definition:
biomass of leaves of all individuals of the respective species
Unit:
gram
Datagroup:
Above and below ground biomass measurement
Keywords:
herbs, leaf, aboveground biomass
Values:
0.006 |
0.004 |
0.001 |
0.002 |
0.005 |
Contributors:
No information available
Dataset column
Name:
repr_org_BM
Definition:
biomass of reproductive organs of all individuals of the respective species
Unit:
gram
Datagroup:
Above and below ground biomass measurement
Keywords:
herbs, aboveground biomass, reproductive organs
Values:
0.001 |
0.002 |
0.02 |
0.005 |
0.01 |
Contributors:
No information available
Dataset column
Name:
fruit_BM
Definition:
biomass of fruits of all individuals of the respective species
Unit:
gram
Datagroup:
Above and below ground biomass measurement
Keywords:
herbs, aboveground biomass, fruits
Values:
0.01 |
0.08 |
0.04 |
0.06 |
0.002 |
Contributors:
No information available
Dataset column
Name:
flow_BM
Definition:
biomass of flowers of all individuals of the respective species
Unit:
gram
Datagroup:
Above and below ground biomass measurement
Keywords:
herbs, aboveground biomass, flowers
Values:
0.02 |
0.01 |
0.05 |
0.001 |
0.003 |
Contributors:
No information available
No information available
No information available
No information avialable
Filter:
No information available
Filter:
No information available
No information available
No information available
No information available
No information available