Main Experiment: Litter nutrient concentrations from littertraps (SiteA)

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Given Name

Dataset Abstract

Litter production and subsequent decomposition are key processes in C and nutrient cycling of forest ecosystems: the physical and chemical breakdown of organic matter during decom-position releases both CO2 and nutrients, the latter being again available for plant nutrition. The nutrient pool sizes of leaf litter thus determine the potential for future nutrient supply to the plants. These pool sizes could be affected by plant species diversity due to differences among species in litter quantity and quality, or in timing of litter inputs.

Dataset Design

Methods: Please write about methods in great detail! Please use only one cell.

Spatial Extent

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Taxonomic Extent

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Data columns available in the raw data part of this dataset

ID
Sample ID
Data group: Identifier
Values
C22-1_Schima superba
C32-2_Nyssa sinensis
C32-1_Nyssa sinensis
C32-2_Castanea henryi
C32-1_Castanea henryi
plot
plot Main Experiment Site A
Data group: Plot name Main experiment
Values
C32
E31
C22
E24
E33
spec
litter species
Data group: Litter species
Values
Castanea henryi/Nyssa sinensis
Castanea henryi
Castanea henryi/Liquidamber formosana
Castanopsis fargesii
Castanopsis sclerophylla
trap
Litter trap identifier
Data group: Litter trap
Values
C32-3
C32-1
E24-1
C22-1
C32-2
leaf_or_stem
analysed plant material;whole leaf or stem only
Data group: Plant part
Values
stem
leaf
analysis
method of chemical analysis that was used
Data group: Chemical analysis method
Values
CN/ICP
CN
ICP
Al mg/g
aluminium concentration in leaf material, concentrations given in mg per g (dry mass)
Unit: mg/g
Data group: Nutrient concentration
Values
0.03473924528301887
0.03945934343434343
0.01936875
0
0.00950791139240503
Ca mg/g
calcium concentration in leaf material, concentrations given in mg per g (dry mass)
Unit: mg/g
Data group: Nutrient concentration
Values
10.040741096938774
10.155175306122448
10.104862124999997
10.280778211009174
10.2932186
Fe mg/g
Fe mg/g
Unit: mg/g
Data group: Nutrient concentration
Values
0.07801409722222222
0.08133644230769231
0.06808781553398059
0.07983254587155963
0.07775237864077669
K mg/g
potassium concentration in leaf material, concentrations given in mg per g (dry mass)
Unit: mg/g
Data group: Nutrient concentration
Values
0.8965836274509805
0.31993029999999995
0.7304067821782178
0.8549321183533447
0.9036819897959184
Mg mg/g
magnesium concentration in leaf material, concentrations given in mg per g (dry mass)
Unit: mg/g
Data group: Nutrient concentration
Values
0.436445
0.28598058252427183
0.3516975
0.466818396226415
0.49432598039215686
Mn mg/g
manganese concentration in leaf material, concentrations given in mg per g (dry mass)
Unit: mg/g
Data group: Nutrient concentration
Values
0.027619039999999994
0.054040099009900984
0.02611409195402299
0.03671761386138613
0.03449417346938775
Na mg/g
sodium concentration in leaf material, concentrations given in mg per g (dry mass)
Unit: mg/g
Data group: Nutrient concentration
Values
0.002856
0.0011762435677530013
0.003107598039215688
0
0.003923364485981302
P mg/g
phosphor concentration in leaf material, concentrations given in mg per g (dry mass)
Unit: mg/g
Data group: Nutrient concentration
Values
0.09516411764705879
0.09881374999999998
0
0.1152365
0.11110169902912621
S mg/g
sulphur concentration in leaf material, concentrations given in mg per g (dry mass)
Unit: mg/g
Data group: Nutrient concentration
Values
0.7585465490196079
0.7843197647058824
0.5389369318181818
0.7575476000000001
0.7632588349514564
N %
nitrogen concentration in leaf material
Unit: %
Data group: Nutrient concentration
Values
0.4851066768169403
0.4226011633872986
0.523978054523468
0.4877895414829254
0.5155435800552368
C %
carbon concentration in leaf material
Unit: %
Data group: Nutrient concentration
Values
42.59308624267578
42.65630340576172
42.186126708984375
42.80682373046875
38.62367630004883
C/N_ratio
carbon/nitrogen ration in leaf material
Data group: Nutrient ratio
Values
17.247297652261228
19.828654404555138
18.10620339480613
19.50253097925226
113.11675496620556