Header logo

Title:
Main Experiment: Site A plots: diversity treatments, coordinates, topography
Access rights:
Free for members
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: Bruelheide, H., Schmidt, K., Seidler, G. and Nadrowski, K. (2013): Site A plots: diversity treatments, coordinates, topography. BEF-China data portal (Accessed through URL http://china.befdata.biow.uni-leipzig.de/datasets/71)
Published:
No information available
Abstract:
All plots from site A in the main experiment, their plot names, treatment information, planned richness in trees and shrubs, longitude and latitude and topographic information.
Design:
Describing the A random extinction series along a broken stick random arrangement crossed with an shrub extinction series and replicated once, the B and C broken stick random extinction as well as the two directed extinction series with decreasing SLA (S) and decreasing rareness (R), plus economic treatments (E). Topographic variables (altitude, inclination, exposition) are mean values based on the 5m GIS.
Spatial extent:
Site A of the Main Experiment
Temporal extent:
Last updated January 2014
Taxonomic extent:
Species information only in comments, this is the plot related data.
Measurement cirumstances:
No information available
Data analysis:
Topographic variables can be used as covariates for plot performance.

Filter:
Dataset column

Name:
PTAG
Definition:
plot code, BEF research plot name, 6 digits with "p" in front; Datagroup description: Research plots of the Biodiversity - Ecosystem functioning experiment (BEF-China). There are three main sites for research plots in the BEF Experiment: Comparative Study Plots (CSP) in the Gutianshan Nature Reserve, having a size of 30x30m^2, measured on the ground. Main Experiment plots have a size of 1 mu, which is about 25x25m^2 in horizontal projection. Pilot Study Plots have a size of 1x1 m^2. Research plots on the main experiment have a "p" in front of their IDs and then a 6 digit code: Plots in the main sites A and B are named according to their position in the original spreadsheet, in which they were designed. They consist of 6 digits: _1st digit_: Site (1:A, 2:B), _digit 2and3_: southwards row: as in spreadsheets the rows are named from the top to the bottom; _digit 4 and 5_: westward column: as in the original spreadsheet, but the letters are converted to numbers (A=01, B=02); _6th digit_: indicator, if the plot has been shifted a quarter mu. Example: "p205260": "p" means that this is a plot that is specified. "2" means, that we are at site B. Now the coordinates of the south - west corner: "0526". Since "e" is the fifth letter of the alphabet, this is Plot E26. The last digit "0" means that this plot was not moved by a quarter of a Mu, as some sites in Site B. The 6th digit can also indicate the subplot within the plot. "5", "6", "7", "8" indicate the northwest, northeast, southeast, and southwest quarter plot respectively.; Datagroup description: Reasearch plots of the Biodiversity - Ecosystem functioning experiment (BEF-China). There are three main sites for research plots in the BEF Experiment: Comparative Study Plots (CSP) in the Gutianshan Nature Reserve, having a size of 30x30m^2, measured on the ground. Main Experiment plots have a size of 1 mu, which is about 25x25m^2 in horizontal projection. Pilot Study Plots have a size of 1x1 m^2. Research plots on the main experiment have a "p" in front of their IDs and then a 6 digit code: Plots in the main sites A and B are named according to their position in the original spreadsheet, in which they were designed. They consist of 6 digits: _1st digit_: Site (1:A, 2:B), _digit 2and3_: southwards row: as in spreadsheets the rows are named from the top to the bottom; _digit 4 and 5_: westward column: as in the original spreadsheet, but the letters are converted to numbers (A=01, B=02); _6th digit_: indicator, if the plot has been shifted a quarter mu. Example: "p205260": "p" means that this is a plot that is specified. "2" means, that we are at site B. Now the coordinates of the south - west corner: "0526". Since "e" is the fifth letter of the alphabet, this is Plot E26. The last digit "0" means that this plot was not moved by a quarter of a Mu, as some sites in Site A. The 6th digit can also indicate the subplot within the plot. "5", "6", "7", "8" indicate the northwest, northeast, southeast, and southwest quarter plot respectively.
Unit:
No information available
Datagroup:
BEF research plot name
Keywords:
Main Experiment, Site B
Values:
p102350
p102361
p103310
p102340
p102381
Contributors:
No information available

Dataset column

Name:
PLOT_NO
Definition:
name of each plot, coded with letters and numbers
Unit:
No information available
Datagroup:
Plot name (letter, number code)
Keywords:
Main Experiment, Site B
Values:
B35
B34
C31
B36/C36
B38/C38
Contributors:
No information available

Dataset column

Name:
TRTM_SUB
Definition:
including the number of the 1 mu plot within a 4 mu plot
Unit:
No information available
Datagroup:
Numeric treatment acronyms for the main experiment
Keywords:
extinction treatment, Main Experiment, Site B
Values:
10.1
10.2
101
102
10.3
Contributors:
No information available

Dataset column

Name:
TRTM_NO2
Definition:
treatment acronym in experimental sites
Unit:
No information available
Datagroup:
Treatment acronym in experimental sites
Keywords:
extinction treatment, Main Experiment, Site B
Values:
A_0_1_2
A_0_1_1
A_1_10_1
A_0_1_3
A_1_10_2
Contributors:
No information available

Dataset column

Name:
TREE_R
Definition:
planned tree species richness according to design, taxonomic biodiversity; Datagroup description: Taxon diversity can be given as species richness, or other diversity indices. We also use rarefied species richness, shannon diversity index, and phylogenetic diversity indices. Rarefaction curves show the increase in species number with an increase of sampled individuals. R uses rarefy() from the package vegan to estimated species number for a given number of individuals. To compare different plots, the number of individuals should be smaller than the minimum number of individuals. -- The Shannon diversity is given by H = -sum (p_i log(p_i)), p_i is the relative abundance of the ith species. R provides this through the vegan package: diversity(x). -- The Simpson diversity is given by D = sum p_i^2, with p_i representing the relative abundance of the ith species. R provides this through the vegan package: diversity(x, index="simpson") -- Trees were counted when they exceeded 1m height. This data is aggregated from the raw data provided by Martin Böhnke and Martin Baruffol; in R with vegan: specnumber() -- Eveness as defined by Ricotta, C. A semantic taxonomy for diversity measures Acta Biotheoretica, 2007, 55, 23-33: shannon/log(rich) -- Phylogenetic diversity is calculated using Rao's Q. This is basically the mean distance of all pairswise distances between individuals in phylogenetic space. I used genus and family name to calculate phylogenetic distances between species. R provides Rao's Q and tools for calculating phylogenetic distances in the package ade4. Commands: as.taxo(), divc().
Unit:
count
Datagroup:
Taxonomic biodiversity
Keywords:
biodiversity, Main Experiment, Site B
Values:
2
16
24
1
0
Contributors:
No information available

Dataset column

Name:
SHRU_R
Definition:
planned shrub species richness according to design, taxonomic biodiversity; Datagroup description: Taxon diversity can be given as species richness, or other diversity indices. We also use rarefied species richness, shannon diversity index, and phylogenetic diversity indices. Rarefaction curves show the increase in species number with an increase of sampled individuals. R uses rarefy() from the package vegan to estimated species number for a given number of individuals. To compare different plots, the number of individuals should be smaller than the minimum number of individuals. -- The Shannon diversity is given by H = -sum (p_i log(p_i)), p_i is the relative abundance of the ith species. R provides this through the vegan package: diversity(x). -- The Simpson diversity is given by D = sum p_i^2, with p_i representing the relative abundance of the ith species. R provides this through the vegan package: diversity(x, index="simpson") -- Trees were counted when they exceeded 1m height. This data is aggregated from the raw data provided by Martin Böhnke and Martin Baruffol; in R with vegan: specnumber() -- Eveness as defined by Ricotta, C. A semantic taxonomy for diversity measures Acta Biotheoretica, 2007, 55, 23-33: shannon/log(rich) -- Phylogenetic diversity is calculated using Rao's Q. This is basically the mean distance of all pairswise distances between individuals in phylogenetic space. I used genus and family name to calculate phylogenetic distances between species. R provides Rao's Q and tools for calculating phylogenetic distances in the package ade4. Commands: as.taxo(), divc().
Unit:
count
Datagroup:
Taxonomic biodiversity
Keywords:
biodiversity, Main Experiment, Site B
Values:
0
4
2
1
8
Contributors:
No information available

Dataset column

Name:
Extinction
Definition:
extinction series type within the main experiment
Unit:
No information available
Datagroup:
Extinction series type within main experiment.
Keywords:
extinction treatment, Main Experiment, Site B
Values:
E
A
F
C
B
Contributors:
No information available

Dataset column

Name:
TREE_CMP
Definition:
tree species composition according to design; Datagroup description: Helper column to understand other columns in this data set.
Unit:
No information available
Datagroup:
Helper
Keywords:
species, Main Experiment, Site B
Values:
A. davidii_C. henryi_C. carlesii_C. eyrei_Ch. axillaris_C. glauca_C. myrsinaefolia_D. glaucifolia_L. formosana_L. glaber_Q. acutissima_Q. fabri_Q. serrata_R. chinensis_S. mukorossi_S. discolor
A. davidii_C. carlesii_C. eyrei_C. camphora_C. myrsinaefolia_K. bipinnata_L. glaber_M. azedarach
A. davidii
A. davidii_C. carlesii_C. eyrei_C. camphora_C. myrsinaefolia_D. oldhamii_D. glaucifolia_K. bipinnata_L. glaber_M. azedarach_N. sinensis_Q. acutissima_Q. fabri_S. mukorossi_S. discolor_S. superba
A. davidii_C. carlesii_L. glaber_M. azedarach
Contributors:
No information available

Dataset column

Name:
SHRU_CMP
Definition:
shrub species composition according to design; Datagroup description: Helper column to understand other columns in this data set.
Unit:
No information available
Datagroup:
Helper
Keywords:
species, Main Experiment, Site B
Values:
A. crenata_C. chekiangoleosa_D. buxifolium_D. myricoides_E. muricata_G. jasminoides_Rh. indica_S. buxifolium
A. crenata_C. chekiangoleosa_D. buxifolium_D. myricoides_E. myrianthus_E. muricata_G. jasminoides_L. chinense
A. crenata_C. chekiangoleosa_D. buxifolium_D. myricoides_E. muricata_G. jasminoides_L. chinense_S. buxifolium
A. crenata_C. chekiangoleosa_D. buxifolium_D. myricoides_E. muricata_L. chinense_Rh. indica_S. buxifolium
A. crenata
Contributors:
No information available

Dataset column

Name:
MU
Definition:
indicating the presence of a plot within a 4 mu plot by the number 4, of self contained within a 1 species plot with the number 1, or a partly filled plot, quarter or less, with 0.25
Unit:
No information available
Datagroup:
Plot randomization level in terms of belonging to Extinction series
Keywords:
VIP plots, Main Experiment, Site B
Values:
4
1
Contributors:
No information available

Dataset column

Name:
Vip
Definition:
VIP plots are the plots without shrubs in the 4 mu plots, which are replicated
Unit:
No information available
Datagroup:
VIP plot indication
Keywords:
VIP plots, Main Experiment, Site B
Values:
vip
viprep
Contributors:
No information available

Dataset column

Name:
X_DD
Definition:
longitude of plot south west corner, based on the 5m interpolation
Unit:
decimal degree
Datagroup:
Longitude
Keywords:
GIS, longitude, Main Experiment, Site B
Values:
117.9055568714
117.9052915789
117.9054242252
117.9058221639
117.9061131432
Contributors:
No information available

Dataset column

Name:
Y_DD
Definition:
latitude of plot south west corner, based on the 5m interpolation; Datagroup description: "The latitude of a location on the Earth is the angular distance of that location south or north of the Equator" (Wikipedia).
Unit:
decimal degree
Datagroup:
Latitude
Keywords:
GIS, latitude, Main Experiment, Site B
Values:
29.1208095796
29.1201107231
29.1205766274
29.1210650872
29.1203436753
Contributors:
No information available

Dataset column

Name:
ALTITUDE
Definition:
elevation (from interpolated raster); Datagroup description: Elevation above sea level. Altitude.; Datagroup description: Elevation above sea level, altitude.
Unit:
meter
Datagroup:
Elevation
Keywords:
GIS, elevation, Main Experiment, Site B
Values:
112.75
113.22
108.32
113.12
107.58
Contributors:
No information available

Dataset column

Name:
EASTNESS
Definition:
easterly aspect (from aspect of interpolated raster); Datagroup description: Eastness was converted from the aspects of 0°-360°, where 0° and 360° = north and 180° = south, into values between -1 and 1, where -1 = west and 1 = east. High values are oriented more easterly than low values.
Unit:
No information available
Datagroup:
Aspect
Keywords:
GIS, aspect, eastness, Main Experiment, Site B
Values:
-0.0190228874
-0.0134385769
0.0094246919
-0.0260024208
-0.0410036845
Contributors:
No information available

Dataset column

Name:
NORTHNESS
Definition:
northerly aspect (from aspect of interpolated raster); Datagroup description: Northness was converted from the aspects of 0°-360°, where 0° and 360° = north and 180° = south, into values between -1 and 1, where -1 = south and 1 = north. High values are oriented more northerly than low values.
Unit:
No information available
Datagroup:
Aspect
Keywords:
GIS, aspect, northness, Main Experiment, Site B
Values:
-0.0151838611
0.0108207496
0.0005236255
0.001047117
-0.0132640863
Contributors:
No information available

Dataset column

Name:
SLOPE
Definition:
slope (from interpolated raster); Datagroup description: Inclination "is the angular distance of the orbital plane from the plane of reference (usually the primary's equator or the ecliptic), normally stated in degrees" (Wikipedia). Also referred to as 'slope'.
Unit:
degree
Datagroup:
Inclination
Keywords:
GIS, inclination, Main Experiment, Site B
Values:
14.37
14.42
15.12
12.03
15.15
Contributors:
No information available

Dataset column

Name:
SOLAR
Definition:
solar radiation (from interpolated raster); Datagroup description: Solar radiation.; Datagroup description: Solar radiation.
Unit:
kWh/m²
Datagroup:
Solar radiation
Keywords:
GIS, solar radiation, Main Experiment, Site B
Values:
1000190
1011300
1029750
1024000
1035880
Contributors:
No information available

Dataset column

Name:
CURV_PR
Definition:
profile curvature (from interpolated raster); convex (+) / concave(-)
Unit:
No information available
Datagroup:
Profile curvature
Keywords:
GIS, Main Experiment, Site B, curvature
Values:
0.83411
-0.4415
0.40073
0.2224
0.09795
Contributors:
No information available

Dataset column

Name:
CURV_PL
Definition:
plan curvature (from interpolated raster); convex (+) / concave(-)
Unit:
No information available
Datagroup:
Planar curvature
Keywords:
GIS, Main Experiment, Site B, curvature
Values:
0.10965
-0.17251
-0.05556
0.14015
-0.20238
Contributors:
No information available

Dataset column

Name:
REMARKS
Definition:
remarks mostly concerning planting; Datagroup description: Helper column to understand other columns in this data set.; Datagroup description: Helper column to understand other columns in this data set.
Unit:
No information available
Datagroup:
Helper
Keywords:
No information available
Values:
planting with problems
moved to I8
missing Treatment_No2
missing random sheet
rotated
Contributors:
No information available

No information available


Filter:
Attachment:

File name:
plots_Site_A_2015-07-30.txt
Description:
plots: coordinates and topography site A
Uri:
No information available
Is essential:
No information available
Content type:
text/plain
File size:
59.1 KB
Created at:
2015-07-30
Updated at:
2015-07-30

No information available
No information avialable

Filter:
78 schmidt medium

Karsten
Schmidt

Owner of:
15 Datasets

Involved in:
1 Projects

E-Mail Profile
8 bruelheide medium

Helge
Bruelheide

Owner of:
59 Datasets

Involved in:
9 Projects

E-Mail Profile
63 seidler medium

Gunnar
Seidler

Owner of:
17 Datasets

Involved in:
1 Projects

E-Mail Profile
3 nadrowski medium

Karin
Nadrowski

Owner of:
44 Datasets

Involved in:
1 Projects

E-Mail Profile
No information available

Filter:

Ants at plant wounds - A little-known trophic interaction with evolutionary implications for ant-plant interactions

Abstract:
Extrafloral nectaries (EFNs) allow plants to engage in mutualisms with ants preventing herbivory in exchange for food. EFNs occur scattered through the plant phylogeny and likely evolved independently from herbivore-created wounds subsequently vis...

Id: 161
Users: 7
Datafiles: 2
Attachments: 0
Board: Final
State: Accepted
Created at: 2015-09-28
Updated at: 2019-02-20

Soil and tree species traits both shape soil microbial communities during early growth of Chinese subtropical forests

Abstract:
A better understanding of the linkages between aboveground and belowground biotic communities is needed for more accurate predictions about how ecosystems may be altered by climate change, land management, or biodiversity loss. Soil microbes are s...

Id: 83
Users: 29
Datafiles: 12
Attachments: 1
Board: Final
State: Accepted
Created at: 2013-06-10
Updated at: 2016-02-22

Early positive effects of tree species richness on herbivory in a large-scale forest biodiversity experiment influence tree growth

Abstract:
Despite the importance of herbivory for the structure and functioning of species-rich forests, little is known about how herbivory is affected by tree species richness, and more specifically by random versus nonrandom species loss. We assessed her...

Id: 119
Users: 16
Datafiles: 6
Attachments: 0
Board: Final
State: Accepted
Created at: 2014-08-20
Updated at: 2017-03-10
No information available

No information available
No information available