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Title:
Decomposcape (wood): decomposition data for Schima superba logs (2011-2014)
Access rights:
Free within projects
Usage rights:
No information available
Published:
No information available
Abstract:
The Ecoscape approach was set up to investigate the influence of biodiversity on litter decomposition (leaves and wood). In order to separate the effects of microclimate and topography from putative effects of (plant) biodiversity, leaf litter samples were set out in a total of 134 plots across Site A and Site B, respectively. Topographic measures were recorded directly in the field. The present dataset contains the data on the decomposition of Schima superba wood logs across the Ecoscape set up. In addition to variations in biodiversity, topographic and microclimatic variations, litter bags were used as an additional treatment factor. Fine meshed litter bags (25µm) prevented meso- and macroinvertebrates to access the wood samples, whereas the coarse mesh treatment allowed for the access of invertebrates. The experiment has been set up in 2011 and logs were sampled in two cohorts, after two and four years of in-situ wood decomposition.
Design:
The samples positioned in a randomized square with four replicates per sample position. There were two levels of sample treatment: 2 mesh-sizes (i.e. fine vs. coarse) and two sampling periods (i.e. 2012 and 2014). Every sampling period (2012 and 2014), one fine and one coarse meshed sample was collected from the respective position and taken to the lab. Dry weight was determined after drying the samples in the drying ovenm at 60°C until a stable mass was reached. For further details see the manuscript entitled "Influence of Biodiversity, topography and microclimate on the effect of invertebrate exclusion on coarse wood decomposition: a case study from subtropical China" by Eichenberg et al (2015, submitted to Journal of Plant Ecology, Special issue on Biodiversity research in China)
Spatial extent:
Experimental sites A and B
Temporal extent:
The first samples were set out on the 28.11.2011. The last sample was collected on the 30.08.2014. For further detailed information on the deposition or retention date of specific samples, please contact kpietsch@uni-leipzig.de
Taxonomic extent:
Schima superba
Measurement cirumstances:
No information available
Data analysis:
We determine decomposition rates (k-rates) for every sample based on the relative mass los over time. The k-rates are calculated from an exponential decay function (Odum 1963) and converted into mass los per year.

Filter:
Dataset column

Name:
Plot_Site
Definition:
Helper to identify where the respective sample has been laid out. Combines the information on Site and Plot to avoid ambiguousnes, as plot names may be repeated between sites (e.g. E23 may be on both, Site A and Site B).
Unit:
No information available
Datagroup:
Helper
Keywords:
sample position
Values:
A_C32
A_E31
A_E33
A_E23
A_E24
Contributors:
No information available

Dataset column

Name:
Sample_ID
Definition:
Unique identifier for each sample laid out in the field
Unit:
No information available
Datagroup:
Identifier
Keywords:
sample identity
Values:
T10F116
T10F118
T10F119
T10F117
T10F120
Contributors:
No information available

Dataset column

Name:
Life_tree_number
Definition:
Refers to the tree individual from which the respective sample has been cut. This factor can be used e.g. as a random effect in mixed effects models to account for across-individual differences in non-measured properties such as e.g. nutrient contents or secondary compounds
Unit:
No information available
Datagroup:
Helper
Keywords:
No information available
Values:
12
10
13
11
1
Contributors:
No information available

Dataset column

Name:
Plot
Definition:
Plot in which the respective sample has been laid out
Unit:
No information available
Datagroup:
Plot name Main experiment (letter, number code)
Keywords:
No information available
Values:
C32
E23
E31
D29
E24
Contributors:
No information available

Dataset column

Name:
Site
Definition:
Site of the plot on which the sample has been laid out.
Unit:
No information available
Datagroup:
Experimental Site
Keywords:
No information available
Values:
A
B
Contributors:
No information available

Dataset column

Name:
Plot_Treatment
Definition:
This cloumn gives information on the psotion of the sample as well as on the litter bag treatment. c: coarse mesh (7mm), f: fine mesh (0.25mm)
Unit:
No information available
Datagroup:
Helper
Keywords:
No information available
Values:
Site-A-E23f
Site-A-C32c
Site-A-E24c
Site-A-C32f
Site-A-E23c
Contributors:
No information available

Dataset column

Name:
Mesh_fine
Definition:
Giving information on wheter the sample has been stored in a fine mesh bag (0.255mm) or in a coarse mesh bag (7mm). Fine: 1, coarse: 0
Unit:
No information available
Datagroup:
Treatment
Keywords:
litterbag, control treatment
Values:
0
1
Contributors:
No information available

Dataset column

Name:
d_mean
Definition:
Mean diameter of the respective sample. Has been calculated as the mean of two diameter measures at both ends of the sample.
Unit:
cm²
Datagroup:
Sample diameter
Keywords:
sample size, diameter
Values:
10
10.06666667
10.05
10.16666667
10.01666667
Contributors:
No information available

Dataset column

Name:
l_mean
Definition:
Mean length of the sample. Calculated as the mean of two measurements with the sample turned by 180°
Unit:
cm
Datagroup:
Sample size
Keywords:
sample size, length
Values:
24.3
24.25
24.45
24.15
14.355
Contributors:
No information available

Dataset column

Name:
Volume
Definition:
Volume of the respective sample, calulated as a cylinder based on the mean diameter and mean length
Unit:
cm³
Datagroup:
Volume of an object
Keywords:
sample volume, volume
Values:
254.6575005
257.5896536
256.9325372
241.6866498
169.8674856
Contributors:
No information available

Dataset column

Name:
dw_depos
Definition:
Dry weight of the sample at the date of deposition in the field. This value is calculated from the fresh weigth of the sample corrected by the ratio of dry to fresh weight from separate samples takes from the respective individual given in life tree number. These separate samples were weighted freshly and then dried in the oven at 60° until stable weight. The, the fresh weight to dry weigth ratio was calculated for these samples.
Unit:
g
Datagroup:
Litter Biomass
Keywords:
litter biomass
Values:
1011.20372
1003.022925
1004.168474
1003.814224
1010.178164
Contributors:
No information available

Dataset column

Name:
dw_retent
Definition:
Dry weight of the sample at time of retention. Samples were colelcted fromthe field and then dired in the oven at 60° until reaching stable weight.
Unit:
g
Datagroup:
Litter Biomass
Keywords:
litter biomass
Values:
1061.825821
1021.63701
1004.112742
1048.294452
1025.847043
Contributors:
No information available

Dataset column

Name:
Termites
Definition:
Indicates whether termites or termite feeding traces were found on the sample.
Unit:
No information available
Datagroup:
Organisms found on or in specimen
Keywords:
termites, decomposition
Values:
0
1
Contributors:
No information available

Dataset column

Name:
Fungi
Definition:
Indicates wheter fungi (in terms of fruitbodies or visible mycelia) were present o the respective sample by visual inspection.
Unit:
No information available
Datagroup:
Organisms found on or in specimen
Keywords:
fungi, wood decomposition, decomposition
Values:
1
0
Contributors:
No information available

Dataset column

Name:
Duration_days
Definition:
Time )in days) how long the respective sample was laid out in the field for in-situ decomposition
Unit:
d
Datagroup:
Exposure time
Keywords:
duration
Values:
299
301
297
300
298
Contributors:
No information available

Dataset column

Name:
Delta_m
Definition:
Massloss of the respective sample during the time of in-situ decomposition.
Unit:
g
Datagroup:
Litter Biomass
Keywords:
decomposition, wood decomposition, massloss
Values:
100.8955045
102.4621287
100.3709909
100.4107953
0.227610892
Contributors:
No information available

Dataset column

Name:
Init_m_perc
Definition:
Initial mass of the respective sample. Set to 100% for each sample
Unit:
%
Datagroup:
Litter Biomass
Keywords:
litter biomass, decomposition, wood decomposition
Values:
100
Contributors:
No information available

Dataset column

Name:
End_m_perc
Definition:
Percentage of dry mass at the date of retention.
Unit:
%
Datagroup:
Litter Biomass
Keywords:
massloss, decomposition, wood decomposition
Values:
16.76
20.52
19.6
19.1
19.99
Contributors:
No information available

Dataset column

Name:
Massloss_perc
Definition:
Massloss of the sample during the process of decomposition.
Unit:
%
Datagroup:
Litter Biomass
Keywords:
decomposition, massloss, wood decomposition
Values:
0.59
0.5
0.03
0.24
0.45
Contributors:
No information available

Dataset column

Name:
Harvest_year
Definition:
Year in which the respective sample was retained from the field
Unit:
No information available
Datagroup:
Helper
Keywords:
duration, year
Values:
2014
2012
Contributors:
No information available

Dataset column

Name:
k_rate
Definition:
Decomposition rate of the respective sample, based on the relative massloss of each sample. Has been calculated based on the assumption of exponential decay as described in Olson (1963)
Unit:
No information available
Datagroup:
Decomposition
Keywords:
No information available
Values:
0.076803229098782
0.0494524418001781
0.0671748241531007
0.0710292404577157
0.0174955708680797
Contributors:
No information available

Dataset column

Name:
Inclination
Definition:
Inclination of the respective sample position in °
Unit:
°
Datagroup:
Inclination
Keywords:
inclination, slope inclination
Values:
1
12
13
11
10

Dataset column

Name:
Eastness
Definition:
Eastness in °radians calculated from the aspect information. Wastness is calcualted as sin(Aspect*PI/180).
Unit:
°rad
Datagroup:
Aspect
Keywords:
slope aspect; eastness
Values:
0.017452406
0.087155743
-0.017452406
0
-0.087155743
Contributors:
No information available

Dataset column

Name:
Northness
Definition:
Northness in °radians calculated from the aspect information. Wastness is calcualted as cos(Aspect*PI/180).
Unit:
°rad
Datagroup:
Aspect
Keywords:
slope aspect; northness
Values:
-0.052335956
-0.087155743
0.087155743
0.052335956
-0.017452406

Dataset column

Name:
Tree_Richness
Definition:
Number of tree species richness in the respective community.
Unit:
No information available
Datagroup:
Taxonomic biodiversity
Keywords:
species richness
Values:
1
2
0
16
24
Contributors:
No information available

Dataset column

Name:
Tree_composition
Definition:
Composition of tree species in the respective community.
Unit:
No information available
Datagroup:
Taxonomic biodiversity
Keywords:
Composition
Values:
A. altissima_C. biondii_E. glabripetalus_E. japonicus_I. polycarpa_M. grijsii_M. flexuosa_Ph. bournei
A. altissima_A. fortunei_B. luminifera_C. fargesii_C. biondii_E. chinensis_E. glabripetalus_E. japonicus_I. polycarpa_M. grijsii_M. leptophylla_M. thunbergii_M. yuyuanensis_M. flexuosa_Ph. bournei_Q. phillyreoides
A. altissima_M. flexuosa
A. altissima_I. polycarpa_M. grijsii_M. flexuosa
A. altissima
Contributors:
No information available

Dataset column

Name:
Planted
Definition:
Indicating whether the respective plot in which the sample was laid out has ben planted with trees or not.
Unit:
No information available
Datagroup:
Helper
Keywords:
treatment
Values:
0
1
Contributors:
No information available

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54 pietsch medium

Katherina
Pietsch

Owner of:
16 Datasets

Involved in:
2 Projects

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14 wirth medium

Christian
Wirth

Owner of:
18 Datasets

Involved in:
6 Projects

E-Mail Profile
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