https://data.botanik.uni-halle.de/bef-china/datasets/599
Data for Schuldt et al. "Biodiversity across trophic levels drives multifunctionality in highly diverse forests"
Andreas
Schuldt
German Centre for Integrative Biodiversity Research (iDiv), Leipzig
Deutscher Platz 5e
Leipzig
Germany
++49 (0) 341 9733232
andreas.schuldt@idiv.de
Jessica
Gutknecht
Helmholtz Centre for Environmental Research UFZ Leipzig-Halle, Department of Soil Ecology
Theodor-Lieser-Straße 4
06120 Halle
Germany
+ 49 (0) 345-558 5255
jgut@umn.edu
Alexandra-Maria
Klein
Institute of Ecology and Environmental Chemistry, Section Ecosystem Functions, Leuphana University of Lueneburg
Scharnhorststr. 1
21332 Lüneburg
Germany
++49 (0) 4131-677-2960
alexandra.klein@nature.uni-freiburg.de
Michael
Scherer-Lorenzen
michael.scherer@biologie.uni-freiburg.de
Bernhard
Schmid
bernhard.schmid@ieu.uzh.ch
Thomas
Scholten
thomas.scholten@uni-tuebingen.de
Christian
Wirth
cwirth@uni-leipzig.de
Helge
Bruelheide
helge.bruelheide@botanik.uni-halle.de
François
Buscot
Helmholtz Centre for Environmental Research UFZ Leipzig-Halle, Department of Soil Ecology
Theodor-Lieser-Straße 4
06120 Halle
Germany
+ 49 (0) 345-558 5221
francois.buscot@ufz.de
Michael
Staab
University of Freiburg, Chair of Nature Conservation and Landscape Ecology
Tennenbacher Str. 4
79106 Freiburg im Breisgau
Germany
+49 (0)761 203 - 67787
michael.staab@nature.uni-freiburg.de
2018-04-23
en_US
Human-induced biodiversity change may impair ecosystem functions crucial to human well-being. However, the consequences of this change for ecosystem multifunctionality are poorly understood beyond effects of plant species loss, particularly in regions with high biodiversity across trophic levels. Here, we adopt a multitrophic perspective to analyze how biodiversity affects multifunctionality in biodiverse subtropical forests. Data are from the Comparative Study Plots (CSPs) of BEF-China. We consider 22 independent measurements of nine ecosystem functions central to energy and nutrient flow across trophic levels, as well as diversity predictors based on data on woody plants and heterotrophic organisms (soil fungi, macrofaunal decomposers, herbivores, predators, parasitoids).
abundance
bacterial biomass
co-variable
decomposition
density
elevation
enzyme activity
explanatory
fungal biomass
location
response variable
slope aspect
slope inclination
soil lipids
successional age
Find the list of keywords here: https://data.botanik.uni-halle.de/bef-china/keywords
plot
stand_age
elevation
slope
aspect
pH_H2O
N_10
C_10
CN_10
temp_jan
temp_jul
temp_year
tree_pc1
tree_pc2
tree_density
CWM.LA
CWM.SLA
CWM.LDMC
CWM.C
CWM.CN
CWM.Phenolics
CWMwd
CWMvess
CWMfibre
RaoQ.chem.tree
RaoQ.morph.tree
Rao.wood
erosion
fungal_biomass
bacterial_biomass
betagluco_activity
n.acetylgluco_activity
acidphosph_activity
xylosidase_activity
amonif
nitrif
leaf.decompo.schima
leaf.decompo.plot
leaf.decompo.mix
wood.decompo.schima
community_wood_decomp
ba.incr_big
ba.incr_small
mean.herbivory.all
canopy.herbivory
baitoccurence.ants.soil
spider.broodcells.wasp
caterpillar.broodcells.wasp
parasitation.rate
rich.amf
rich.ecm
rich.sapro
rich.patho
rich.decomp
rich.tree
rich.weevil
rich.scoly
rich.lepi
rich.ceramby
rich.spider
rich.ant_pred
rich.ant_omni
rich.chilo
rich.wasp
rich.para
List of headers of the data columns in this dataset
Please contact Andreas Schuldt for usage permission
https://data.botanik.uni-halle.de/bef-china/datasets/599/download.csv?separate_category_columns=true
Comparative Study Plots
117.89978
118.148346
29.285201
29.101777
2008-04-30
2012-12-30
aschuldt
jgutknecht
aklein
schererlorenzen
bschmid
tscholten
cwirth
hbruelheide
fbuscot
mstaab
Data for Schuldt et al. "Biodiversity across trophic levels drives multifunctionality in highly diverse forests"
Human-induced biodiversity change may impair ecosystem functions crucial to human well-being. However, the consequences of this change for ecosystem multifunctionality are poorly understood beyond effects of plant species loss, particularly in regions with high biodiversity across trophic levels. Here, we adopt a multitrophic perspective to analyze how biodiversity affects multifunctionality in biodiverse subtropical forests. Data are from the Comparative Study Plots (CSPs) of BEF-China. We consider 22 independent measurements of nine ecosystem functions central to energy and nutrient flow across trophic levels, as well as diversity predictors based on data on woody plants and heterotrophic organisms (soil fungi, macrofaunal decomposers, herbivores, predators, parasitoids).
2008-04-30 00:00:00 UTC - 2012-12-30 00:00:00 UTC
2008-2012
Comparative Study Plots
Data on 22 ecosystem function measurements, woody plant species richness and composition, and species richness of heterotrophic organisms. See Schuldt et al. "Biodiversity across trophic levels drives multifunctionality in highly diverse forests" for full description of sampling and processing, and for measurement units of individual variables.
https://data.botanik.uni-halle.de/bef-china/datasets/599
Data for Schuldt et al. "Biodiversity across trophic levels drives multifunctionality in highly diverse forests"
/bef-china/datasets/599
ASCII
1
column
,
https://data.botanik.uni-halle.de/bef-china/datasets/599/download.csv?separate_category_columns=true
BEF research plot name (plot),
plot
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 (29º8'18" – 29º17'29" N, 118º2'14" – 118º11'12" E, Zhejiang Province Southeast China), 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 (29°07'28.2"N 117°54'27.5"E) and B (29°05'06.8"N 117°55'44.4"E) 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.
Morover, Plots from the main experiment may be labelled in the more ambiguous form of e.g. A32. This indicates a plat either on Site A (29°07'28.2"N 117°54'27.5"E) or Site B (29°05'06.8"N 117°55'44.4"E) of the main experiment. This value only becomes a unique identifier if supported with the "site" information from another cell.
Plots labelled in the form of "1_AO1" or "g1_AO1" or "pilot1_AO1" belong to the "Pilot Experiment" (approx location: 29°06'20.2"N 117°55'12.1"E, Jiangxi Province) (plot: Number of the Comparative Study Plot; Datagroup description: BEF research plot name; 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.)
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 (29º8'18" – 29º17'29" N, 118º2'14" – 118º11'12" E, Zhejiang Province Southeast China), 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 (29°07'28.2"N 117°54'27.5"E) and B (29°05'06.8"N 117°55'44.4"E) 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.
Morover, Plots from the main experiment may be labelled in the more ambiguous form of e.g. A32. This indicates a plat either on Site A (29°07'28.2"N 117°54'27.5"E) or Site B (29°05'06.8"N 117°55'44.4"E) of the main experiment. This value only becomes a unique identifier if supported with the "site" information from another cell.
Plots labelled in the form of "1_AO1" or "g1_AO1" or "pilot1_AO1" belong to the "Pilot Experiment" (approx location: 29°06'20.2"N 117°55'12.1"E, Jiangxi Province)
BEF research plot name
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 (29º8'18" – 29º17'29" N, 118º2'14" – 118º11'12" E, Zhejiang Province Southeast China), 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 (29°07'28.2"N 117°54'27.5"E) and B (29°05'06.8"N 117°55'44.4"E) 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.
Morover, Plots from the main experiment may be labelled in the more ambiguous form of e.g. A32. This indicates a plat either on Site A (29°07'28.2"N 117°54'27.5"E) or Site B (29°05'06.8"N 117°55'44.4"E) of the main experiment. This value only becomes a unique identifier if supported with the "site" information from another cell.
Plots labelled in the form of "1_AO1" or "g1_AO1" or "pilot1_AO1" belong to the "Pilot Experiment" (approx location: 29°06'20.2"N 117°55'12.1"E, Jiangxi Province)
Number of the Comparative Study Plot; Datagroup description: BEF research plot name; 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.
Successional age of a forest plot (stand_age),
stand_age
Successional stage describes the amount of time a given forest had to grow without further disturbance. This can happen in natural forests after landslides, windthrows, fire, etc. It happens in managed forests after clearance. In the Comparative study sites of the BEF China experiment, forest plots where chosen according to their successional stage to be able to represent young, intermediate and old forests. Successional stage in the CSP was estimated by Mr. Fang Teng. (stand_age: plot age as estimated by the age of the 5th largest treeSuccessional age of a forest plot)
dimensionless
real
Successional age of a forest plot
Successional stage describes the amount of time a given forest had to grow without further disturbance. This can happen in natural forests after landslides, windthrows, fire, etc. It happens in managed forests after clearance. In the Comparative study sites of the BEF China experiment, forest plots where chosen according to their successional stage to be able to represent young, intermediate and old forests. Successional stage in the CSP was estimated by Mr. Fang Teng.
plot age as estimated by the age of the 5th largest treeSuccessional age of a forest plot
Elevation (elevation), m asl
elevation
Elevation above sea level, altitude (elevation: Elevation of the sampled plot, measured with geko201 GPS; Elevation;; ; GIS, Hypsometer, Interpolation from map (derived from datagroup); Instrumentation: GIS, Hypsometer, Interpolation from map (derived from datagroup))
dimensionless
real
Elevation
Elevation above sea level, altitude
Elevation of the sampled plot, measured with geko201 GPS; Elevation;; ; GIS, Hypsometer, Interpolation from map (derived from datagroup); Instrumentation: GIS, Hypsometer, Interpolation from map (derived from datagroup)
GIS, Hypsometer, Interpolation from map
Inclination (slope), degree
slope
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, 2011). Also referred to as 'slope'. (slope: Calculated plot mean slope inclination from geomorphological maps)
dimensionless
real
Inclination
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, 2011). Also referred to as 'slope'.
Calculated plot mean slope inclination from geomorphological maps
geomorphological maps
Aspect (aspect), degree
aspect
Aspect or exposition is the direction a slope is facing and tends to be related to the amount of radiation and humidity a plot receives. (aspect: mean aspect in degree calculated from geomorphological maps and SRTM 90 (only CSP15, 24). MOD(360+ARCTAN2(x;y)*(180/pi);360); y = Sinus, x = Cosinus (in degree); for y > 0, x >= y: Arctan2 = Arctan(y/x); x <= -y: Arctan2 = Arctan(y/x) + Pi; all others : Arctan2 = Pi/2 – Arctan(x/y);; for y < 0, x >= -y: Arctan2 = Arctan(y/x); x <= y: Arctan2 = Arctan(y/x) - Pi ; all others: Arctan2 = -Arctan(x/y) - Pi/2)
dimensionless
real
Aspect
Aspect or exposition is the direction a slope is facing and tends to be related to the amount of radiation and humidity a plot receives.
mean aspect in degree calculated from geomorphological maps and SRTM 90 (only CSP15, 24). MOD(360+ARCTAN2(x;y)*(180/pi);360); y = Sinus, x = Cosinus (in degree); for y > 0, x >= y: Arctan2 = Arctan(y/x); x <= -y: Arctan2 = Arctan(y/x) + Pi; all others : Arctan2 = Pi/2 – Arctan(x/y);; for y < 0, x >= -y: Arctan2 = Arctan(y/x); x <= y: Arctan2 = Arctan(y/x) - Pi ; all others: Arctan2 = -Arctan(x/y) - Pi/2
geomorphological maps, SRTM 90
pH value (pH_H2O),
pH_H2O
In case of H2O: samples were air-dried, sieved < 2mm, solutionH20 : soil = 2.5:1 -- in case of KCL: samples were air-dried, sieved < 2mm, solutionKCL : soil = 2.5:1; pH (KCl) is the maximum potential acidity under the present soil conditions, pH (H2O) is the current acidity; pH (KCl) is the maximum potential acidity under the present soil conditions, pH (H2O) is the current acidity (pH_H2O: Soil pH)
dimensionless
real
pH value
In case of H2O: samples were air-dried, sieved < 2mm, solutionH20 : soil = 2.5:1 -- in case of KCL: samples were air-dried, sieved < 2mm, solutionKCL : soil = 2.5:1; pH (KCl) is the maximum potential acidity under the present soil conditions, pH (H2O) is the current acidity; pH (KCl) is the maximum potential acidity under the present soil conditions, pH (H2O) is the current acidity
Soil pH
Nitrogen (N_10),
N_10
Nitrogen concentration (N_10: Soil nitrogen content)
dimensionless
real
Nitrogen
Nitrogen concentration
Soil nitrogen content
Carbon (C_10),
C_10
measurements of Carbon such as concentrations, pools, amount (C_10: Soil carbon content)
dimensionless
real
Carbon
measurements of Carbon such as concentrations, pools, amount
Soil carbon content
Carbon Nitrogen ratio (CN_10),
CN_10
Carbon Nitrogen ratio (CN_10: Soil cabon to nitrogen ratio)
dimensionless
real
Carbon Nitrogen ratio
Carbon Nitrogen ratio
Soil cabon to nitrogen ratio
Air temperature (temp_jan), °C
temp_jan
Air temperature (temp_jan: Mean January temperature)
dimensionless
real
Air temperature
Air temperature
Mean January temperature
Air temperature (temp_jul), °C
temp_jul
Air temperature (temp_jul: Mean July temperature)
dimensionless
real
Air temperature
Air temperature
Mean July temperature
Air temperature (temp_year), °C
temp_year
Air temperature (temp_year: Mean annual temperature)
dimensionless
real
Air temperature
Air temperature
Mean annual temperature
Community Composition (tree_pc1),
tree_pc1
Composition of the community (tree_pc1: Plot-scores of axis 1 of a principal components analysis on woody plant species composition)
dimensionless
real
Community Composition
Composition of the community
Plot-scores of axis 1 of a principal components analysis on woody plant species composition
Community Composition (tree_pc2),
tree_pc2
Composition of the community (tree_pc2: Plot-scores of axis 2 of a principal components analysis on woody plant species composition)
dimensionless
real
Community Composition
Composition of the community
Plot-scores of axis 2 of a principal components analysis on woody plant species composition
Abundance (tree_density), count
tree_density
Number of individuals determined for the respective category. The respective category can be taxonomic or functional, depending on the subject of the respective study. (tree_density: Number of tree and shrub individuals)
dimensionless
real
Abundance
Number of individuals determined for the respective category. The respective category can be taxonomic or functional, depending on the subject of the respective study.
Number of tree and shrub individuals
Functional biodiversity (CWM.LA),
CWM.LA
Functional biodiversity uses functional traits of organisms as a basis to quantifying biodiversity. This can be the range of variation of traits, the amount of dissimilarity or similarity of traits. Common measures are functional diversity, eveness, dissimilarity. (CWM.LA: Community weighted mean of leaf area)
dimensionless
real
Functional biodiversity
Functional biodiversity uses functional traits of organisms as a basis to quantifying biodiversity. This can be the range of variation of traits, the amount of dissimilarity or similarity of traits. Common measures are functional diversity, eveness, dissimilarity.
Community weighted mean of leaf area
Functional biodiversity (CWM.SLA),
CWM.SLA
Functional biodiversity uses functional traits of organisms as a basis to quantifying biodiversity. This can be the range of variation of traits, the amount of dissimilarity or similarity of traits. Common measures are functional diversity, eveness, dissimilarity. (CWM.SLA: Community weighted mean of specific leaf area)
dimensionless
real
Functional biodiversity
Functional biodiversity uses functional traits of organisms as a basis to quantifying biodiversity. This can be the range of variation of traits, the amount of dissimilarity or similarity of traits. Common measures are functional diversity, eveness, dissimilarity.
Community weighted mean of specific leaf area
Functional biodiversity (CWM.LDMC),
CWM.LDMC
Functional biodiversity uses functional traits of organisms as a basis to quantifying biodiversity. This can be the range of variation of traits, the amount of dissimilarity or similarity of traits. Common measures are functional diversity, eveness, dissimilarity. (CWM.LDMC: Community weighted mean of leaf drys matter content)
dimensionless
real
Functional biodiversity
Functional biodiversity uses functional traits of organisms as a basis to quantifying biodiversity. This can be the range of variation of traits, the amount of dissimilarity or similarity of traits. Common measures are functional diversity, eveness, dissimilarity.
Community weighted mean of leaf drys matter content
Functional biodiversity (CWM.C),
CWM.C
Functional biodiversity uses functional traits of organisms as a basis to quantifying biodiversity. This can be the range of variation of traits, the amount of dissimilarity or similarity of traits. Common measures are functional diversity, eveness, dissimilarity. (CWM.C: Community weighted mean of leaf carbon content)
dimensionless
real
Functional biodiversity
Functional biodiversity uses functional traits of organisms as a basis to quantifying biodiversity. This can be the range of variation of traits, the amount of dissimilarity or similarity of traits. Common measures are functional diversity, eveness, dissimilarity.
Community weighted mean of leaf carbon content
Functional biodiversity (CWM.CN),
CWM.CN
Functional biodiversity uses functional traits of organisms as a basis to quantifying biodiversity. This can be the range of variation of traits, the amount of dissimilarity or similarity of traits. Common measures are functional diversity, eveness, dissimilarity. (CWM.CN: Community weighted mean of leaf carbon to nitrogen ratio)
dimensionless
real
Functional biodiversity
Functional biodiversity uses functional traits of organisms as a basis to quantifying biodiversity. This can be the range of variation of traits, the amount of dissimilarity or similarity of traits. Common measures are functional diversity, eveness, dissimilarity.
Community weighted mean of leaf carbon to nitrogen ratio
Functional biodiversity (CWM.Phenolics),
CWM.Phenolics
Functional biodiversity uses functional traits of organisms as a basis to quantifying biodiversity. This can be the range of variation of traits, the amount of dissimilarity or similarity of traits. Common measures are functional diversity, eveness, dissimilarity. (CWM.Phenolics: Community weighted mean of leaf phenolics content)
dimensionless
real
Functional biodiversity
Functional biodiversity uses functional traits of organisms as a basis to quantifying biodiversity. This can be the range of variation of traits, the amount of dissimilarity or similarity of traits. Common measures are functional diversity, eveness, dissimilarity.
Community weighted mean of leaf phenolics content
Functional biodiversity (CWMwd),
CWMwd
Functional biodiversity uses functional traits of organisms as a basis to quantifying biodiversity. This can be the range of variation of traits, the amount of dissimilarity or similarity of traits. Common measures are functional diversity, eveness, dissimilarity. (CWMwd: Community weighted mean of wood density)
dimensionless
real
Functional biodiversity
Functional biodiversity uses functional traits of organisms as a basis to quantifying biodiversity. This can be the range of variation of traits, the amount of dissimilarity or similarity of traits. Common measures are functional diversity, eveness, dissimilarity.
Community weighted mean of wood density
Functional biodiversity (CWMvess),
CWMvess
Functional biodiversity uses functional traits of organisms as a basis to quantifying biodiversity. This can be the range of variation of traits, the amount of dissimilarity or similarity of traits. Common measures are functional diversity, eveness, dissimilarity. (CWMvess: Community weighted mean of mean xylem vessel diameter)
dimensionless
real
Functional biodiversity
Functional biodiversity uses functional traits of organisms as a basis to quantifying biodiversity. This can be the range of variation of traits, the amount of dissimilarity or similarity of traits. Common measures are functional diversity, eveness, dissimilarity.
Community weighted mean of mean xylem vessel diameter
Functional biodiversity (CWMfibre),
CWMfibre
Functional biodiversity uses functional traits of organisms as a basis to quantifying biodiversity. This can be the range of variation of traits, the amount of dissimilarity or similarity of traits. Common measures are functional diversity, eveness, dissimilarity. (CWMfibre: Community weighted mean of wood fiber wall thickness)
dimensionless
real
Functional biodiversity
Functional biodiversity uses functional traits of organisms as a basis to quantifying biodiversity. This can be the range of variation of traits, the amount of dissimilarity or similarity of traits. Common measures are functional diversity, eveness, dissimilarity.
Community weighted mean of wood fiber wall thickness
Functional biodiversity (RaoQ.chem.tree),
RaoQ.chem.tree
Functional biodiversity uses functional traits of organisms as a basis to quantifying biodiversity. This can be the range of variation of traits, the amount of dissimilarity or similarity of traits. Common measures are functional diversity, eveness, dissimilarity. (RaoQ.chem.tree: Rao's quadratic entropy based on leaf chemical traits)
dimensionless
real
Functional biodiversity
Functional biodiversity uses functional traits of organisms as a basis to quantifying biodiversity. This can be the range of variation of traits, the amount of dissimilarity or similarity of traits. Common measures are functional diversity, eveness, dissimilarity.
Rao's quadratic entropy based on leaf chemical traits
Functional biodiversity (RaoQ.morph.tree),
RaoQ.morph.tree
Functional biodiversity uses functional traits of organisms as a basis to quantifying biodiversity. This can be the range of variation of traits, the amount of dissimilarity or similarity of traits. Common measures are functional diversity, eveness, dissimilarity. (RaoQ.morph.tree: Rao's quadratic entropy based on leaf morphological traits)
dimensionless
real
Functional biodiversity
Functional biodiversity uses functional traits of organisms as a basis to quantifying biodiversity. This can be the range of variation of traits, the amount of dissimilarity or similarity of traits. Common measures are functional diversity, eveness, dissimilarity.
Rao's quadratic entropy based on leaf morphological traits
Functional biodiversity (Rao.wood),
Rao.wood
Functional biodiversity uses functional traits of organisms as a basis to quantifying biodiversity. This can be the range of variation of traits, the amount of dissimilarity or similarity of traits. Common measures are functional diversity, eveness, dissimilarity. (Rao.wood: Rao's quadratic entropy based on wood traits)
dimensionless
real
Functional biodiversity
Functional biodiversity uses functional traits of organisms as a basis to quantifying biodiversity. This can be the range of variation of traits, the amount of dissimilarity or similarity of traits. Common measures are functional diversity, eveness, dissimilarity.
Rao's quadratic entropy based on wood traits
Deriving kinetic energy from sand loss (erosion),
erosion
Kinetic energy is derived from sand loss out of splashcups. For this, the amount of sand removed by rain can be used to calculate a standardized amount of removed sand per area and a kinetic energy per area. (erosion: estimated erosivity of rain drops)
dimensionless
real
Deriving kinetic energy from sand loss
Kinetic energy is derived from sand loss out of splashcups. For this, the amount of sand removed by rain can be used to calculate a standardized amount of removed sand per area and a kinetic energy per area.
estimated erosivity of rain drops
Lipid biomass (fungal_biomass), nmol g dry soil-1
fungal_biomass
mesure for the abundance of fatty acids (fungal_biomass: sum of fungal lipids (18:1 w9c, 18:2 w6,9c))
dimensionless
real
Lipid biomass
mesure for the abundance of fatty acids
sum of fungal lipids (18:1 w9c, 18:2 w6,9c)
Lipid biomass (bacterial_biomass), nmol g dry soil-1
bacterial_biomass
mesure for the abundance of fatty acids (bacterial_biomass: sum of bacterial lipids (all Gram-, Gram + lipids and actinomycetes))
dimensionless
real
Lipid biomass
mesure for the abundance of fatty acids
sum of bacterial lipids (all Gram-, Gram + lipids and actinomycetes)
Enzyme activity (betagluco_activity), nmol activity dry soil-1 hr-1
betagluco_activity
enzyme activity (betagluco_activity: Soil Beta-glucosidase activity)
dimensionless
real
Enzyme activity
enzyme activity
Soil Beta-glucosidase activity
Enzyme activity (n.acetylgluco_activity), nmol activity dry soil-1 hr-1
n.acetylgluco_activity
enzyme activity (n.acetylgluco_activity: Soil N-acetyl-glucosaminidase activity)
dimensionless
real
Enzyme activity
enzyme activity
Soil N-acetyl-glucosaminidase activity
Enzyme activity (acidphosph_activity), nmol activity dry soil-1 hr-1
acidphosph_activity
enzyme activity (acidphosph_activity: Soil Acid Phosphatase activity)
dimensionless
real
Enzyme activity
enzyme activity
Soil Acid Phosphatase activity
Enzyme activity (xylosidase_activity), nmol activity dry soil-1 hr-1
xylosidase_activity
enzyme activity (xylosidase_activity: Soil Xylosidase activity)
dimensionless
real
Enzyme activity
enzyme activity
Soil Xylosidase activity
Ammonification rate (amonif),
amonif
Ammonification rate (amonif: Ammonification rate)
dimensionless
real
Ammonification rate
Ammonification rate
Ammonification rate
Nitrification rate (nitrif),
nitrif
Nitrification rate (nitrif: Nitrification rate)
dimensionless
real
Nitrification rate
Nitrification rate
Nitrification rate
Decomposition (leaf.decompo.schima), per year
leaf.decompo.schima
Any numeric information concerning Decomposition; e.g. mass based decomposition; litter decay rates; remaining litter mass after exposure time ect. (leaf.decompo.schima: leaf decomposition constant for Schima superba)
dimensionless
real
Decomposition
Any numeric information concerning Decomposition; e.g. mass based decomposition; litter decay rates; remaining litter mass after exposure time ect.
leaf decomposition constant for Schima superba
Decomposition (leaf.decompo.plot), per year
leaf.decompo.plot
Any numeric information concerning Decomposition; e.g. mass based decomposition; litter decay rates; remaining litter mass after exposure time ect. (leaf.decompo.plot: leaf decomposition constant plot level)
dimensionless
real
Decomposition
Any numeric information concerning Decomposition; e.g. mass based decomposition; litter decay rates; remaining litter mass after exposure time ect.
leaf decomposition constant plot level
Decomposition (leaf.decompo.mix), per year
leaf.decompo.mix
Any numeric information concerning Decomposition; e.g. mass based decomposition; litter decay rates; remaining litter mass after exposure time ect. (leaf.decompo.mix: leaf decomposition constant litter bag mixtures)
dimensionless
real
Decomposition
Any numeric information concerning Decomposition; e.g. mass based decomposition; litter decay rates; remaining litter mass after exposure time ect.
leaf decomposition constant litter bag mixtures
Decomposition (wood.decompo.schima),
wood.decompo.schima
Any numeric information concerning Decomposition; e.g. mass based decomposition; litter decay rates; remaining litter mass after exposure time ect. (wood.decompo.schima: wood decomposition constant for Schima superba)
dimensionless
real
Decomposition
Any numeric information concerning Decomposition; e.g. mass based decomposition; litter decay rates; remaining litter mass after exposure time ect.
wood decomposition constant for Schima superba
Basal area (ba.incr_big),
ba.incr_big
Basal area is calculated as the area at breastheight of a given tree and can be summed up to estimate the tree mass in a given plot. (ba.incr_big: Increment in stem basal area of woody plants > 10 cm dbh from 2008 to 2012)
dimensionless
real
Basal area
Basal area is calculated as the area at breastheight of a given tree and can be summed up to estimate the tree mass in a given plot.
Increment in stem basal area of woody plants > 10 cm dbh from 2008 to 2012
Basal area (ba.incr_small),
ba.incr_small
Basal area is calculated as the area at breastheight of a given tree and can be summed up to estimate the tree mass in a given plot. (ba.incr_small: Increment in stem basal area of woody plants > 3 and < 10 cm dbh from 2008 to 2012)
dimensionless
real
Basal area
Basal area is calculated as the area at breastheight of a given tree and can be summed up to estimate the tree mass in a given plot.
Increment in stem basal area of woody plants > 3 and < 10 cm dbh from 2008 to 2012
Herbivore damage (mean.herbivory.all),
mean.herbivory.all
Herbivore damage in percentage or as herbivory classes e.g. those defined by Schuldt et al. (2010) (mean.herbivory.all: Mean percentage of leaf damage)
dimensionless
real
Herbivore damage
Herbivore damage in percentage or as herbivory classes e.g. those defined by Schuldt et al. (2010)
Mean percentage of leaf damage
Herbivore damage (canopy.herbivory),
canopy.herbivory
Herbivore damage in percentage or as herbivory classes e.g. those defined by Schuldt et al. (2010) (canopy.herbivory: Mean percentage of leaf damage)
dimensionless
real
Herbivore damage
Herbivore damage in percentage or as herbivory classes e.g. those defined by Schuldt et al. (2010)
Mean percentage of leaf damage
Predation (baitoccurence.ants.soil),
baitoccurence.ants.soil
Predation (baitoccurence.ants.soil: The occurrence of ants at a bait. Every occurrence of an ant species at a bait was counted as '1'.)
dimensionless
real
Predation
Predation
The occurrence of ants at a bait. Every occurrence of an ant species at a bait was counted as '1'.
Predation (spider.broodcells.wasp),
spider.broodcells.wasp
Predation (spider.broodcells.wasp: The number of wasp (mostly Pompilidae; a few Sphecidae) broodcells, that were provisioned with spiders)
dimensionless
real
Predation
Predation
The number of wasp (mostly Pompilidae; a few Sphecidae) broodcells, that were provisioned with spiders
Predation (caterpillar.broodcells.wasp),
caterpillar.broodcells.wasp
Predation (caterpillar.broodcells.wasp: The number of parasitized caterpillar wasp broodcells)
dimensionless
real
Predation
Predation
The number of parasitized caterpillar wasp broodcells
Parasitism (parasitation.rate),
parasitation.rate
Parasitism (parasitation.rate: The number of parasitized brood cells divided by the total number of broodcells)
dimensionless
real
Parasitism
Parasitism
The number of parasitized brood cells divided by the total number of broodcells
Taxonomic biodiversity (rich.amf), total per plot
rich.amf
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() (rich.amf: Number of OTUs of arbuscular mycorrhizal fungi)
dimensionless
real
Taxonomic biodiversity
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()
Number of OTUs of arbuscular mycorrhizal fungi
Taxonomic biodiversity (rich.ecm), total per plot
rich.ecm
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() (rich.ecm: Number of OTUs of ectomycorrhizal fungi)
dimensionless
real
Taxonomic biodiversity
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()
Number of OTUs of ectomycorrhizal fungi
Taxonomic biodiversity (rich.sapro), total per plot
rich.sapro
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() (rich.sapro: Number of OTUs of saprophytic fungi)
dimensionless
real
Taxonomic biodiversity
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()
Number of OTUs of saprophytic fungi
Taxonomic biodiversity (rich.patho), total per plot
rich.patho
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() (rich.patho: Number of OTUs of pathogenic fungi)
dimensionless
real
Taxonomic biodiversity
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()
Number of OTUs of pathogenic fungi
Taxonomic biodiversity (rich.decomp), total per plot
rich.decomp
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() (rich.decomp: Number of species of macrofaunal decomposers)
dimensionless
real
Taxonomic biodiversity
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()
Number of species of macrofaunal decomposers
Taxonomic biodiversity (rich.tree), total per plot
rich.tree
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() (rich.tree: Number of species of woody plants)
dimensionless
real
Taxonomic biodiversity
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()
Number of species of woody plants
Taxonomic biodiversity (rich.weevil), total per plot
rich.weevil
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() (rich.weevil: Number of species of weevils)
dimensionless
real
Taxonomic biodiversity
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()
Number of species of weevils
Taxonomic biodiversity (rich.scoly), total per plot
rich.scoly
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() (rich.scoly: Number of species of bark beetles)
dimensionless
real
Taxonomic biodiversity
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()
Number of species of bark beetles
Taxonomic biodiversity (rich.lepi), total per plot
rich.lepi
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() (rich.lepi: Number of species of lepidopteran caterpillars)
dimensionless
real
Taxonomic biodiversity
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()
Number of species of lepidopteran caterpillars
Taxonomic biodiversity (rich.ceramby), total per plot
rich.ceramby
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() (rich.ceramby: Number of species of longhorn beetles)
dimensionless
real
Taxonomic biodiversity
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()
Number of species of longhorn beetles
Taxonomic biodiversity (rich.spider), total per plot
rich.spider
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() (rich.spider: Number of species of spiders)
dimensionless
real
Taxonomic biodiversity
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()
Number of species of spiders
Taxonomic biodiversity (rich.ant_pred), total per plot
rich.ant_pred
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() (rich.ant_pred: Number of species of predatory ants)
dimensionless
real
Taxonomic biodiversity
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()
Number of species of predatory ants
Taxonomic biodiversity (rich.ant_omni), total per plot
rich.ant_omni
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() (rich.ant_omni: Number of species of omnivorous ants)
dimensionless
real
Taxonomic biodiversity
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()
Number of species of omnivorous ants
Taxonomic biodiversity (rich.chilo), total per plot
rich.chilo
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() (rich.chilo: Number of species of centipedes)
dimensionless
real
Taxonomic biodiversity
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()
Number of species of centipedes
Taxonomic biodiversity (rich.wasp), total per plot
rich.wasp
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() (rich.wasp: Number of species of predatory wasps)
dimensionless
real
Taxonomic biodiversity
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()
Number of species of predatory wasps
Taxonomic biodiversity (rich.para), total per plot
rich.para
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() (rich.para: Number of species of parasitoids)
dimensionless
real
Taxonomic biodiversity
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()
Number of species of parasitoids
yes
27