https://china.befdata.biow.uni-leipzig.de/datasets/197
CSP successional age estimates based on stem diameter distribution and tree ring width
Helge
Bruelheide
helge.bruelheide@botanik.uni-halle.de
Goddert
von Oheimb
Goddert_v_Oheimb@tu-dresden.de
Karin
Nadrowski
nadrowski@uni-leipzig.de
Martin
Baruffol
martin.baruffol@gmail.com
2012-03-02
en_US
Comparative Study Plots of the BEF-China experiment were selected according to a gradient of successional age and a crossed gradient of tree diversity. This file describes measures of stem diameter distribution from the CSPs, as well as basal area measures, which can give quantitative insight into the structure of the plots at different successional ages as defined by Mr. Fang. Use the column max_5 for plot age.
CSP
dbh
land use history
succession
successional age
tree age
Weibull distribution
Find the list of keywords here: https://china.befdata.biow.uni-leipzig.de/keywords
CSP
min
qu25
med
qu75
max
CSPageF
ageF
mean
interqur
skew
kurt
var
sd
CV
aF1
aF2
aF3
aF4
aF5
CSPageD
ageD
aD1
aD2
aD3
aD4
aD5
to5
to10
to20
to30
to60
to80
wbshape
wbscale
wbshapesd
wbscalesd
age_HB
CSPageHB
dbh_10
dbh_15
dbh_20
dbh_25
dbh_30
dbh_35
age_HB_comments
max_1
max_2
max_3
max_4
max_5
max_6
max_7
max_8
max_9
max_10
tree_age_max5
Distr_GvOheimb_comments
ageFang2008
MrFang
List of headers of the data columns in this dataset
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., von Oheimb, G., Nadrowski, K. and Baruffol, M. (2013): CSP successional age estimates based on stem diameter distribution and tree ring width. BEF-China data portal (Accessed through URL http://china.befdata.biow.uni-leipzig.de/datasets/197)
https://china.befdata.biow.uni-leipzig.de/datasets/197/download.csv?separate_category_columns=true
The Gutianshan National Nature Reserve (NNR) is located in the western part of Zhejiang Province (29º8'18" – 29º17'29" N, 118º2'14" – 118º11'12" E, Fig. 1). The Gutianshan NNR has an area of approximately 81 km2 and was initially established as a National Forest Reserve in 1975 and became a National Nature Reserve in 2001. The NNR comprises a large portion of broad-leaved forests of advanced successional stages (Hu & Yu 2008), which have not been managed since the beginning of the 1990ies, as well as young successional stages and conifer plantations, mainly of Cunninghamia lanceolata and Pinus massoniana. --- The vegetation is composed of different types of subtropical evergreen and mixed broad-leaved forests (Yu et al. 2001). Most of the stands are secondary forests, evidenced by maximum tree ages of 180 years, by agricultural terraces in almost all plots and by the presence of charcoal in almost all soil profiles. Around the Gutianshan NRR extensive deforestation has occurred during the Great Leap Forward in the 1950s, as in most parts of Southeast China. However, due to prevailing steep slopes, the Gutianshan area was only marginally usable for agricultural activities, and thus an exceptionally intact forest cover has been preserved. --- The climate at Gutianshan NNR is warm and temperate with a short dry season in November and December and with warm summers (Fig. 2). The climatic conditions are characteristic for the subtropics with an annual average temperature of 15.1°C, January minimum temperatures of -6.8°C, July maximum temperatures of 38.1°C and an accumulated temperature sum (≥ 5°C) of 5221.5 degree days.
117.89978
118.148346
29.285201
29.101777
2008-01-19
2008-12-19
The data aggregates stem diameters of tree and shrub species in the CSPs.
The data aggregates stem diameters of tree and shrub species in the CSPs.
hbruelheide
gvonoheimb
nadrowski
mbaruffol
CSP successional age estimates based on stem diameter distribution and tree ring width
Comparative Study Plots of the BEF-China experiment were selected according to a gradient of successional age and a crossed gradient of tree diversity. This file describes measures of stem diameter distribution from the CSPs, as well as basal area measures, which can give quantitative insight into the structure of the plots at different successional ages as defined by Mr. Fang. Use the column max_5 for plot age.
2008-01-19 00:00:00 UTC - 2008-12-19 00:00:00 UTC
data is the dbh data collected in 2008
The Gutianshan National Nature Reserve (NNR) is located in the western part of Zhejiang Province (29º8'18" – 29º17'29" N, 118º2'14" – 118º11'12" E, Fig. 1). The Gutianshan NNR has an area of approximately 81 km2 and was initially established as a National Forest Reserve in 1975 and became a National Nature Reserve in 2001. The NNR comprises a large portion of broad-leaved forests of advanced successional stages (Hu & Yu 2008), which have not been managed since the beginning of the 1990ies, as well as young successional stages and conifer plantations, mainly of Cunninghamia lanceolata and Pinus massoniana. --- The vegetation is composed of different types of subtropical evergreen and mixed broad-leaved forests (Yu et al. 2001). Most of the stands are secondary forests, evidenced by maximum tree ages of 180 years, by agricultural terraces in almost all plots and by the presence of charcoal in almost all soil profiles. Around the Gutianshan NRR extensive deforestation has occurred during the Great Leap Forward in the 1950s, as in most parts of Southeast China. However, due to prevailing steep slopes, the Gutianshan area was only marginally usable for agricultural activities, and thus an exceptionally intact forest cover has been preserved. --- The climate at Gutianshan NNR is warm and temperate with a short dry season in November and December and with warm summers (Fig. 2). The climatic conditions are characteristic for the subtropics with an annual average temperature of 15.1°C, January minimum temperatures of -6.8°C, July maximum temperatures of 38.1°C and an accumulated temperature sum (≥ 5°C) of 5221.5 degree days.
The data aggregates stem diameters of tree and shrub species in the CSPs.
CSPs were selected according to a successional age and a diversity gradient. There are 27 CSPs. Within each CSP, trees were sampled in a hierarchical design. Plot size is 30x30m, but the center 10x10m subplot was sampled in higher intensity than the other plots. In the outer plots, trees from 10cm diameter at breastheight were sampled, in the center trees and shrubs from 3cm on. We thus used 9* the data from small trees (<10cm) in the central subplot to reach plot scale. We additionally had to estimate the diameter at breastheight of some small trees which were only measured at the base, this is mentioned in more detaill in the methods. We additionally included the stems affected by the snowbreak to derive the conditions of the plots just before the snowbreak in Winter 2008.
Use the column max_5 for plot age. This dataset collects numerous parameters that describe the stem diameter distribution of the CSPs. All of them can be used as characteristics of the CSPs.
https://china.befdata.biow.uni-leipzig.de/datasets/197
CSP successional age estimates based on stem diameter distribution and tree ring width
/datasets/197
ASCII
1
column
,
https://china.befdata.biow.uni-leipzig.de/datasets/197/download.csv?separate_category_columns=true
BEF research plot name (CSP), dimensionless
CSP
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) (CSP: name of the CSP in the Nature ReserveBEF research plot nameReasearch 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.)
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)
name of the CSP in the Nature ReserveBEF research plot nameReasearch 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.
Diameter at breast height (min), centimeter
min
Diameter of a tree, measured at 1.3 m height (min: minimum stem diameter; Diameter at breast height; )
dimensionless
real
Diameter at breast height
Diameter of a tree, measured at 1.3 m height
minimum stem diameter; Diameter at breast height;
diameter tape, calliper
Diameter at breast height (qu25), centimeter
qu25
Diameter of a tree, measured at 1.3 m height (qu25: 25 % quantile of stem diameters; Diameter at breast height; )
dimensionless
real
Diameter at breast height
Diameter of a tree, measured at 1.3 m height
25 % quantile of stem diameters; Diameter at breast height;
diameter tape, calliper
Diameter at breast height (med), centimeter
med
Diameter of a tree, measured at 1.3 m height (med: median stem diameter; Diameter at breast height; )
dimensionless
real
Diameter at breast height
Diameter of a tree, measured at 1.3 m height
median stem diameter; Diameter at breast height;
diameter tape, calliper
Diameter at breast height (qu75), centimeter
qu75
Diameter of a tree, measured at 1.3 m height (qu75: 75 % stem diameter; Diameter at breast height; )
dimensionless
real
Diameter at breast height
Diameter of a tree, measured at 1.3 m height
75 % stem diameter; Diameter at breast height;
diameter tape, calliper
Diameter at breast height (max), centimeter
max
Diameter of a tree, measured at 1.3 m height (max: maximum stem diameterSuccessional age of a forest plot)
dimensionless
real
Diameter at breast height
Diameter of a tree, measured at 1.3 m height
maximum stem diameterSuccessional age of a forest plot
diameter tape, calliper
Helper (CSPageF), dimensionless
CSPageF
Helper column to understand other columns in this data set (CSPageF: concatenation of the CSP name and successional stage as defined by Mr. Fang at the time of plot selectionHelper)
Helper column to understand other columns in this data set
Helper
Helper column to understand other columns in this data set
concatenation of the CSP name and successional stage as defined by Mr. Fang at the time of plot selectionHelper
Successional age of a forest plot (ageF), dimensionless
ageF
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. (ageF: successional stage as defined by Mr. Fang at the time of plot selectionSuccessional 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.
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.
successional stage as defined by Mr. Fang at the time of plot selectionSuccessional age of a forest plot
Stem diameter distribution (mean), centimeter
mean
Measures based on stem diameter distribution. Additional to the usual quantiles and moments, we are providing parameters of the Weibull distribution fitted to the stem diameter distribution using fitdistr() from the MASS package in R. -- Another approach is to calculate the percent of stems that have a certain diameter: The boundaries of the stem diameter classes (3 to 5, 5 to 10, 10 to 20, 20 to 30, 30 to 60, above 60) are based on the publication on the Gutianshan Forest Dynamic Plot (24ha plot). --- A third approach is the number of stems are bigger than a certain diameter. (mean: mean stem diameter)
dimensionless
real
Stem diameter distribution
Measures based on stem diameter distribution. Additional to the usual quantiles and moments, we are providing parameters of the Weibull distribution fitted to the stem diameter distribution using fitdistr() from the MASS package in R. -- Another approach is to calculate the percent of stems that have a certain diameter: The boundaries of the stem diameter classes (3 to 5, 5 to 10, 10 to 20, 20 to 30, 30 to 60, above 60) are based on the publication on the Gutianshan Forest Dynamic Plot (24ha plot). --- A third approach is the number of stems are bigger than a certain diameter.
mean stem diameter
Stem diameter distribution (interqur), centimeter
interqur
Measures based on stem diameter distribution. Additional to the usual quantiles and moments, we are providing parameters of the Weibull distribution fitted to the stem diameter distribution using fitdistr() from the MASS package in R. -- Another approach is to calculate the percent of stems that have a certain diameter: The boundaries of the stem diameter classes (3 to 5, 5 to 10, 10 to 20, 20 to 30, 30 to 60, above 60) are based on the publication on the Gutianshan Forest Dynamic Plot (24ha plot). --- A third approach is the number of stems are bigger than a certain diameter. (interqur: interquartile range of stem diametersStem diameter distribution)
dimensionless
real
Stem diameter distribution
Measures based on stem diameter distribution. Additional to the usual quantiles and moments, we are providing parameters of the Weibull distribution fitted to the stem diameter distribution using fitdistr() from the MASS package in R. -- Another approach is to calculate the percent of stems that have a certain diameter: The boundaries of the stem diameter classes (3 to 5, 5 to 10, 10 to 20, 20 to 30, 30 to 60, above 60) are based on the publication on the Gutianshan Forest Dynamic Plot (24ha plot). --- A third approach is the number of stems are bigger than a certain diameter.
interquartile range of stem diametersStem diameter distribution
Stem diameter distribution (skew), dimensionless
skew
Measures based on stem diameter distribution. Additional to the usual quantiles and moments, we are providing parameters of the Weibull distribution fitted to the stem diameter distribution using fitdistr() from the MASS package in R. -- Another approach is to calculate the percent of stems that have a certain diameter: The boundaries of the stem diameter classes (3 to 5, 5 to 10, 10 to 20, 20 to 30, 30 to 60, above 60) are based on the publication on the Gutianshan Forest Dynamic Plot (24ha plot). --- A third approach is the number of stems are bigger than a certain diameter. (skew: skewness of the stem diameter distributionStem diameter distribution)
dimensionless
real
Stem diameter distribution
Measures based on stem diameter distribution. Additional to the usual quantiles and moments, we are providing parameters of the Weibull distribution fitted to the stem diameter distribution using fitdistr() from the MASS package in R. -- Another approach is to calculate the percent of stems that have a certain diameter: The boundaries of the stem diameter classes (3 to 5, 5 to 10, 10 to 20, 20 to 30, 30 to 60, above 60) are based on the publication on the Gutianshan Forest Dynamic Plot (24ha plot). --- A third approach is the number of stems are bigger than a certain diameter.
skewness of the stem diameter distributionStem diameter distribution
Stem diameter distribution (kurt), dimensionless
kurt
Measures based on stem diameter distribution. Additional to the usual quantiles and moments, we are providing parameters of the Weibull distribution fitted to the stem diameter distribution using fitdistr() from the MASS package in R. -- Another approach is to calculate the percent of stems that have a certain diameter: The boundaries of the stem diameter classes (3 to 5, 5 to 10, 10 to 20, 20 to 30, 30 to 60, above 60) are based on the publication on the Gutianshan Forest Dynamic Plot (24ha plot). --- A third approach is the number of stems are bigger than a certain diameter. (kurt: kurtosis of the stem diameter distributionStem diameter distribution)
dimensionless
real
Stem diameter distribution
Measures based on stem diameter distribution. Additional to the usual quantiles and moments, we are providing parameters of the Weibull distribution fitted to the stem diameter distribution using fitdistr() from the MASS package in R. -- Another approach is to calculate the percent of stems that have a certain diameter: The boundaries of the stem diameter classes (3 to 5, 5 to 10, 10 to 20, 20 to 30, 30 to 60, above 60) are based on the publication on the Gutianshan Forest Dynamic Plot (24ha plot). --- A third approach is the number of stems are bigger than a certain diameter.
kurtosis of the stem diameter distributionStem diameter distribution
Stem diameter distribution (var), centimeter squared
var
Measures based on stem diameter distribution. Additional to the usual quantiles and moments, we are providing parameters of the Weibull distribution fitted to the stem diameter distribution using fitdistr() from the MASS package in R. -- Another approach is to calculate the percent of stems that have a certain diameter: The boundaries of the stem diameter classes (3 to 5, 5 to 10, 10 to 20, 20 to 30, 30 to 60, above 60) are based on the publication on the Gutianshan Forest Dynamic Plot (24ha plot). --- A third approach is the number of stems are bigger than a certain diameter. (var: variance of the stem diameter distributionStem diameter distribution)
dimensionless
real
Stem diameter distribution
Measures based on stem diameter distribution. Additional to the usual quantiles and moments, we are providing parameters of the Weibull distribution fitted to the stem diameter distribution using fitdistr() from the MASS package in R. -- Another approach is to calculate the percent of stems that have a certain diameter: The boundaries of the stem diameter classes (3 to 5, 5 to 10, 10 to 20, 20 to 30, 30 to 60, above 60) are based on the publication on the Gutianshan Forest Dynamic Plot (24ha plot). --- A third approach is the number of stems are bigger than a certain diameter.
variance of the stem diameter distributionStem diameter distribution
Stem diameter distribution (sd), centimeter
sd
Measures based on stem diameter distribution. Additional to the usual quantiles and moments, we are providing parameters of the Weibull distribution fitted to the stem diameter distribution using fitdistr() from the MASS package in R. -- Another approach is to calculate the percent of stems that have a certain diameter: The boundaries of the stem diameter classes (3 to 5, 5 to 10, 10 to 20, 20 to 30, 30 to 60, above 60) are based on the publication on the Gutianshan Forest Dynamic Plot (24ha plot). --- A third approach is the number of stems are bigger than a certain diameter. (sd: standard deviation of the stem diameter distributionStem diameter distribution)
dimensionless
real
Stem diameter distribution
Measures based on stem diameter distribution. Additional to the usual quantiles and moments, we are providing parameters of the Weibull distribution fitted to the stem diameter distribution using fitdistr() from the MASS package in R. -- Another approach is to calculate the percent of stems that have a certain diameter: The boundaries of the stem diameter classes (3 to 5, 5 to 10, 10 to 20, 20 to 30, 30 to 60, above 60) are based on the publication on the Gutianshan Forest Dynamic Plot (24ha plot). --- A third approach is the number of stems are bigger than a certain diameter.
standard deviation of the stem diameter distributionStem diameter distribution
Stem diameter distribution (CV), percent
CV
Measures based on stem diameter distribution. Additional to the usual quantiles and moments, we are providing parameters of the Weibull distribution fitted to the stem diameter distribution using fitdistr() from the MASS package in R. -- Another approach is to calculate the percent of stems that have a certain diameter: The boundaries of the stem diameter classes (3 to 5, 5 to 10, 10 to 20, 20 to 30, 30 to 60, above 60) are based on the publication on the Gutianshan Forest Dynamic Plot (24ha plot). --- A third approach is the number of stems are bigger than a certain diameter. (CV: Coefficient of variation of the stem diameter distributionStem diameter distribution)
dimensionless
real
Stem diameter distribution
Measures based on stem diameter distribution. Additional to the usual quantiles and moments, we are providing parameters of the Weibull distribution fitted to the stem diameter distribution using fitdistr() from the MASS package in R. -- Another approach is to calculate the percent of stems that have a certain diameter: The boundaries of the stem diameter classes (3 to 5, 5 to 10, 10 to 20, 20 to 30, 30 to 60, above 60) are based on the publication on the Gutianshan Forest Dynamic Plot (24ha plot). --- A third approach is the number of stems are bigger than a certain diameter.
Coefficient of variation of the stem diameter distributionStem diameter distribution
Helper (aF1), dimensionless
aF1
Helper column to understand other columns in this data set (aF1: indicating, whether the plot belongs to a specific successional age class as defined in ageF: 1st age classHelper)
Helper column to understand other columns in this data set
Helper
Helper column to understand other columns in this data set
indicating, whether the plot belongs to a specific successional age class as defined in ageF: 1st age classHelper
Helper (aF2), dimensionless
aF2
Helper column to understand other columns in this data set (aF2: indicating, whether the plot belongs to a specific successional age class as defined in ageF: 2nd age classHelper)
Helper column to understand other columns in this data set
Helper
Helper column to understand other columns in this data set
indicating, whether the plot belongs to a specific successional age class as defined in ageF: 2nd age classHelper
Helper (aF3), dimensionless
aF3
Helper column to understand other columns in this data set (aF3: indicating, whether the plot belongs to a specific successional age class as defined in ageF: 3rd age classHelper)
Helper column to understand other columns in this data set
Helper
Helper column to understand other columns in this data set
indicating, whether the plot belongs to a specific successional age class as defined in ageF: 3rd age classHelper
Helper (aF4), dimensionless
aF4
Helper column to understand other columns in this data set (aF4: indicating, whether the plot belongs to a specific successional age class as defined in ageF: 4th age classHelper)
Helper column to understand other columns in this data set
Helper
Helper column to understand other columns in this data set
indicating, whether the plot belongs to a specific successional age class as defined in ageF: 4th age classHelper
Helper (aF5), dimensionless
aF5
Helper column to understand other columns in this data set (aF5: indicating, whether the plot belongs to a specific successional age class as defined in ageF: 4th age classHelper)
Helper column to understand other columns in this data set
Helper
Helper column to understand other columns in this data set
indicating, whether the plot belongs to a specific successional age class as defined in ageF: 4th age classHelper
Helper (CSPageD), dimensionless
CSPageD
Helper column to understand other columns in this data set (CSPageD: concatenation of the CSP name and successional stage as defined by G. von OheimbHelper)
Helper column to understand other columns in this data set
Helper
Helper column to understand other columns in this data set
concatenation of the CSP name and successional stage as defined by G. von OheimbHelper
Successional age of a forest plot (ageD), dimensionless
ageD
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. (ageD: successional stage as defined by G. von Oheimb based on stem diameter distribution and information provided by Mr. FangSuccessional 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.
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.
successional stage as defined by G. von Oheimb based on stem diameter distribution and information provided by Mr. FangSuccessional age of a forest plot
Helper (aD1), logical
aD1
Helper column to understand other columns in this data set (aD1: indicating, whether the plot belongs to a specific successional age class as defined in ageD: 1st age classHelper)
Helper column to understand other columns in this data set
Helper
Helper column to understand other columns in this data set
indicating, whether the plot belongs to a specific successional age class as defined in ageD: 1st age classHelper
Helper (aD2), logical
aD2
Helper column to understand other columns in this data set (aD2: indicating, whether the plot belongs to a specific successional age class as defined in ageD: 2nd age classHelper)
Helper column to understand other columns in this data set
Helper
Helper column to understand other columns in this data set
indicating, whether the plot belongs to a specific successional age class as defined in ageD: 2nd age classHelper
Helper (aD3), logical
aD3
Helper column to understand other columns in this data set (aD3: indicating, whether the plot belongs to a specific successional age class as defined in ageD: 3rd age classHelper)
Helper column to understand other columns in this data set
Helper
Helper column to understand other columns in this data set
indicating, whether the plot belongs to a specific successional age class as defined in ageD: 3rd age classHelper
Helper (aD4), logical
aD4
Helper column to understand other columns in this data set (aD4: indicating, whether the plot belongs to a specific successional age class as defined in ageD: 4th age classHelper)
Helper column to understand other columns in this data set
Helper
Helper column to understand other columns in this data set
indicating, whether the plot belongs to a specific successional age class as defined in ageD: 4th age classHelper
Helper (aD5), logical
aD5
Helper column to understand other columns in this data set (aD5: indicating, whether the plot belongs to a specific successional age class as defined in ageD: 5th age classHelper)
Helper column to understand other columns in this data set
Helper
Helper column to understand other columns in this data set
indicating, whether the plot belongs to a specific successional age class as defined in ageD: 5th age classHelper
Stem diameter distribution (to5), percent
to5
Measures based on stem diameter distribution. Additional to the usual quantiles and moments, we are providing parameters of the Weibull distribution fitted to the stem diameter distribution using fitdistr() from the MASS package in R. -- Another approach is to calculate the percent of stems that have a certain diameter: The boundaries of the stem diameter classes (3 to 5, 5 to 10, 10 to 20, 20 to 30, 30 to 60, above 60) are based on the publication on the Gutianshan Forest Dynamic Plot (24ha plot). --- A third approach is the number of stems are bigger than a certain diameter. (to5: percent of stems having a diameter between 3 and 5 cmStem diameter distribution)
dimensionless
real
Stem diameter distribution
Measures based on stem diameter distribution. Additional to the usual quantiles and moments, we are providing parameters of the Weibull distribution fitted to the stem diameter distribution using fitdistr() from the MASS package in R. -- Another approach is to calculate the percent of stems that have a certain diameter: The boundaries of the stem diameter classes (3 to 5, 5 to 10, 10 to 20, 20 to 30, 30 to 60, above 60) are based on the publication on the Gutianshan Forest Dynamic Plot (24ha plot). --- A third approach is the number of stems are bigger than a certain diameter.
percent of stems having a diameter between 3 and 5 cmStem diameter distribution
Stem diameter distribution (to10), percent
to10
Measures based on stem diameter distribution. Additional to the usual quantiles and moments, we are providing parameters of the Weibull distribution fitted to the stem diameter distribution using fitdistr() from the MASS package in R. -- Another approach is to calculate the percent of stems that have a certain diameter: The boundaries of the stem diameter classes (3 to 5, 5 to 10, 10 to 20, 20 to 30, 30 to 60, above 60) are based on the publication on the Gutianshan Forest Dynamic Plot (24ha plot). --- A third approach is the number of stems are bigger than a certain diameter. (to10: percent of stems having a diameter between 5 and 10 cmStem diameter distribution)
dimensionless
real
Stem diameter distribution
Measures based on stem diameter distribution. Additional to the usual quantiles and moments, we are providing parameters of the Weibull distribution fitted to the stem diameter distribution using fitdistr() from the MASS package in R. -- Another approach is to calculate the percent of stems that have a certain diameter: The boundaries of the stem diameter classes (3 to 5, 5 to 10, 10 to 20, 20 to 30, 30 to 60, above 60) are based on the publication on the Gutianshan Forest Dynamic Plot (24ha plot). --- A third approach is the number of stems are bigger than a certain diameter.
percent of stems having a diameter between 5 and 10 cmStem diameter distribution
Stem diameter distribution (to20), percent
to20
Measures based on stem diameter distribution. Additional to the usual quantiles and moments, we are providing parameters of the Weibull distribution fitted to the stem diameter distribution using fitdistr() from the MASS package in R. -- Another approach is to calculate the percent of stems that have a certain diameter: The boundaries of the stem diameter classes (3 to 5, 5 to 10, 10 to 20, 20 to 30, 30 to 60, above 60) are based on the publication on the Gutianshan Forest Dynamic Plot (24ha plot). --- A third approach is the number of stems are bigger than a certain diameter. (to20: percent of stems having a diameter between 10 and 20 cmStem diameter distribution)
dimensionless
real
Stem diameter distribution
Measures based on stem diameter distribution. Additional to the usual quantiles and moments, we are providing parameters of the Weibull distribution fitted to the stem diameter distribution using fitdistr() from the MASS package in R. -- Another approach is to calculate the percent of stems that have a certain diameter: The boundaries of the stem diameter classes (3 to 5, 5 to 10, 10 to 20, 20 to 30, 30 to 60, above 60) are based on the publication on the Gutianshan Forest Dynamic Plot (24ha plot). --- A third approach is the number of stems are bigger than a certain diameter.
percent of stems having a diameter between 10 and 20 cmStem diameter distribution
Stem diameter distribution (to30), percent
to30
Measures based on stem diameter distribution. Additional to the usual quantiles and moments, we are providing parameters of the Weibull distribution fitted to the stem diameter distribution using fitdistr() from the MASS package in R. -- Another approach is to calculate the percent of stems that have a certain diameter: The boundaries of the stem diameter classes (3 to 5, 5 to 10, 10 to 20, 20 to 30, 30 to 60, above 60) are based on the publication on the Gutianshan Forest Dynamic Plot (24ha plot). --- A third approach is the number of stems are bigger than a certain diameter. (to30: percent of stems having a diameter between 30 and 60 cmStem diameter distribution)
dimensionless
real
Stem diameter distribution
Measures based on stem diameter distribution. Additional to the usual quantiles and moments, we are providing parameters of the Weibull distribution fitted to the stem diameter distribution using fitdistr() from the MASS package in R. -- Another approach is to calculate the percent of stems that have a certain diameter: The boundaries of the stem diameter classes (3 to 5, 5 to 10, 10 to 20, 20 to 30, 30 to 60, above 60) are based on the publication on the Gutianshan Forest Dynamic Plot (24ha plot). --- A third approach is the number of stems are bigger than a certain diameter.
percent of stems having a diameter between 30 and 60 cmStem diameter distribution
Stem diameter distribution (to60), percent
to60
Measures based on stem diameter distribution. Additional to the usual quantiles and moments, we are providing parameters of the Weibull distribution fitted to the stem diameter distribution using fitdistr() from the MASS package in R. -- Another approach is to calculate the percent of stems that have a certain diameter: The boundaries of the stem diameter classes (3 to 5, 5 to 10, 10 to 20, 20 to 30, 30 to 60, above 60) are based on the publication on the Gutianshan Forest Dynamic Plot (24ha plot). --- A third approach is the number of stems are bigger than a certain diameter. (to60: percent of stems having a diameter between 30 and 60 cmStem diameter distribution)
dimensionless
real
Stem diameter distribution
Measures based on stem diameter distribution. Additional to the usual quantiles and moments, we are providing parameters of the Weibull distribution fitted to the stem diameter distribution using fitdistr() from the MASS package in R. -- Another approach is to calculate the percent of stems that have a certain diameter: The boundaries of the stem diameter classes (3 to 5, 5 to 10, 10 to 20, 20 to 30, 30 to 60, above 60) are based on the publication on the Gutianshan Forest Dynamic Plot (24ha plot). --- A third approach is the number of stems are bigger than a certain diameter.
percent of stems having a diameter between 30 and 60 cmStem diameter distribution
Stem diameter distribution (to80), percent
to80
Measures based on stem diameter distribution. Additional to the usual quantiles and moments, we are providing parameters of the Weibull distribution fitted to the stem diameter distribution using fitdistr() from the MASS package in R. -- Another approach is to calculate the percent of stems that have a certain diameter: The boundaries of the stem diameter classes (3 to 5, 5 to 10, 10 to 20, 20 to 30, 30 to 60, above 60) are based on the publication on the Gutianshan Forest Dynamic Plot (24ha plot). --- A third approach is the number of stems are bigger than a certain diameter. (to80: percent of stems having a diameter larger than 60 (maximum was below 80)Stem diameter distribution)
dimensionless
real
Stem diameter distribution
Measures based on stem diameter distribution. Additional to the usual quantiles and moments, we are providing parameters of the Weibull distribution fitted to the stem diameter distribution using fitdistr() from the MASS package in R. -- Another approach is to calculate the percent of stems that have a certain diameter: The boundaries of the stem diameter classes (3 to 5, 5 to 10, 10 to 20, 20 to 30, 30 to 60, above 60) are based on the publication on the Gutianshan Forest Dynamic Plot (24ha plot). --- A third approach is the number of stems are bigger than a certain diameter.
percent of stems having a diameter larger than 60 (maximum was below 80)Stem diameter distribution
Stem diameter distribution (wbshape), dimensionless
wbshape
Measures based on stem diameter distribution. Additional to the usual quantiles and moments, we are providing parameters of the Weibull distribution fitted to the stem diameter distribution using fitdistr() from the MASS package in R. -- Another approach is to calculate the percent of stems that have a certain diameter: The boundaries of the stem diameter classes (3 to 5, 5 to 10, 10 to 20, 20 to 30, 30 to 60, above 60) are based on the publication on the Gutianshan Forest Dynamic Plot (24ha plot). --- A third approach is the number of stems are bigger than a certain diameter. (wbshape: Weibull distribution shape parameter based on stem diametersStem diameter distribution)
dimensionless
real
Stem diameter distribution
Measures based on stem diameter distribution. Additional to the usual quantiles and moments, we are providing parameters of the Weibull distribution fitted to the stem diameter distribution using fitdistr() from the MASS package in R. -- Another approach is to calculate the percent of stems that have a certain diameter: The boundaries of the stem diameter classes (3 to 5, 5 to 10, 10 to 20, 20 to 30, 30 to 60, above 60) are based on the publication on the Gutianshan Forest Dynamic Plot (24ha plot). --- A third approach is the number of stems are bigger than a certain diameter.
Weibull distribution shape parameter based on stem diametersStem diameter distribution
Stem diameter distribution (wbscale), dimensionless
wbscale
Measures based on stem diameter distribution. Additional to the usual quantiles and moments, we are providing parameters of the Weibull distribution fitted to the stem diameter distribution using fitdistr() from the MASS package in R. -- Another approach is to calculate the percent of stems that have a certain diameter: The boundaries of the stem diameter classes (3 to 5, 5 to 10, 10 to 20, 20 to 30, 30 to 60, above 60) are based on the publication on the Gutianshan Forest Dynamic Plot (24ha plot). --- A third approach is the number of stems are bigger than a certain diameter. (wbscale: Weibull distribution scale parameter based on stem diametersStem diameter distribution)
dimensionless
real
Stem diameter distribution
Measures based on stem diameter distribution. Additional to the usual quantiles and moments, we are providing parameters of the Weibull distribution fitted to the stem diameter distribution using fitdistr() from the MASS package in R. -- Another approach is to calculate the percent of stems that have a certain diameter: The boundaries of the stem diameter classes (3 to 5, 5 to 10, 10 to 20, 20 to 30, 30 to 60, above 60) are based on the publication on the Gutianshan Forest Dynamic Plot (24ha plot). --- A third approach is the number of stems are bigger than a certain diameter.
Weibull distribution scale parameter based on stem diametersStem diameter distribution
Stem diameter distribution (wbshapesd), dimensionless
wbshapesd
Measures based on stem diameter distribution. Additional to the usual quantiles and moments, we are providing parameters of the Weibull distribution fitted to the stem diameter distribution using fitdistr() from the MASS package in R. -- Another approach is to calculate the percent of stems that have a certain diameter: The boundaries of the stem diameter classes (3 to 5, 5 to 10, 10 to 20, 20 to 30, 30 to 60, above 60) are based on the publication on the Gutianshan Forest Dynamic Plot (24ha plot). --- A third approach is the number of stems are bigger than a certain diameter. (wbshapesd: standard deviation of the Weibull distribution shape parameter based on stem diametersStem diameter distribution)
dimensionless
real
Stem diameter distribution
Measures based on stem diameter distribution. Additional to the usual quantiles and moments, we are providing parameters of the Weibull distribution fitted to the stem diameter distribution using fitdistr() from the MASS package in R. -- Another approach is to calculate the percent of stems that have a certain diameter: The boundaries of the stem diameter classes (3 to 5, 5 to 10, 10 to 20, 20 to 30, 30 to 60, above 60) are based on the publication on the Gutianshan Forest Dynamic Plot (24ha plot). --- A third approach is the number of stems are bigger than a certain diameter.
standard deviation of the Weibull distribution shape parameter based on stem diametersStem diameter distribution
Stem diameter distribution (wbscalesd), dimensionless
wbscalesd
Measures based on stem diameter distribution. Additional to the usual quantiles and moments, we are providing parameters of the Weibull distribution fitted to the stem diameter distribution using fitdistr() from the MASS package in R. -- Another approach is to calculate the percent of stems that have a certain diameter: The boundaries of the stem diameter classes (3 to 5, 5 to 10, 10 to 20, 20 to 30, 30 to 60, above 60) are based on the publication on the Gutianshan Forest Dynamic Plot (24ha plot). --- A third approach is the number of stems are bigger than a certain diameter. (wbscalesd: standard deviation of the Weibull distribution scale parameter based on stem diametersStem diameter distribution)
dimensionless
real
Stem diameter distribution
Measures based on stem diameter distribution. Additional to the usual quantiles and moments, we are providing parameters of the Weibull distribution fitted to the stem diameter distribution using fitdistr() from the MASS package in R. -- Another approach is to calculate the percent of stems that have a certain diameter: The boundaries of the stem diameter classes (3 to 5, 5 to 10, 10 to 20, 20 to 30, 30 to 60, above 60) are based on the publication on the Gutianshan Forest Dynamic Plot (24ha plot). --- A third approach is the number of stems are bigger than a certain diameter.
standard deviation of the Weibull distribution scale parameter based on stem diametersStem diameter distribution
Successional age of a forest plot (age_HB), dimensionless
age_HB
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. (age_HB: successional age of the CSP, by Helge BruelheideSuccessional 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.
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.
successional age of the CSP, by Helge BruelheideSuccessional age of a forest plot
Helper (CSPageHB),
CSPageHB
Helper column to understand other columns in this data set (CSPageHB: concatenating CSP identity with age estimate by HBHelper)
Helper column to understand other columns in this data set
Helper
Helper column to understand other columns in this data set
concatenating CSP identity with age estimate by HBHelper
Stem diameter distribution (dbh_10), count
dbh_10
Measures based on stem diameter distribution. Additional to the usual quantiles and moments, we are providing parameters of the Weibull distribution fitted to the stem diameter distribution using fitdistr() from the MASS package in R. -- Another approach is to calculate the percent of stems that have a certain diameter: The boundaries of the stem diameter classes (3 to 5, 5 to 10, 10 to 20, 20 to 30, 30 to 60, above 60) are based on the publication on the Gutianshan Forest Dynamic Plot (24ha plot). --- A third approach is the number of stems are bigger than a certain diameter. (dbh_10: number of trees larger than 10cm in dbh, based on stems larger than 10 cm found 2008 in the CSPsStem diameter distribution)
dimensionless
real
Stem diameter distribution
Measures based on stem diameter distribution. Additional to the usual quantiles and moments, we are providing parameters of the Weibull distribution fitted to the stem diameter distribution using fitdistr() from the MASS package in R. -- Another approach is to calculate the percent of stems that have a certain diameter: The boundaries of the stem diameter classes (3 to 5, 5 to 10, 10 to 20, 20 to 30, 30 to 60, above 60) are based on the publication on the Gutianshan Forest Dynamic Plot (24ha plot). --- A third approach is the number of stems are bigger than a certain diameter.
number of trees larger than 10cm in dbh, based on stems larger than 10 cm found 2008 in the CSPsStem diameter distribution
Stem diameter distribution (dbh_15), count
dbh_15
Measures based on stem diameter distribution. Additional to the usual quantiles and moments, we are providing parameters of the Weibull distribution fitted to the stem diameter distribution using fitdistr() from the MASS package in R. -- Another approach is to calculate the percent of stems that have a certain diameter: The boundaries of the stem diameter classes (3 to 5, 5 to 10, 10 to 20, 20 to 30, 30 to 60, above 60) are based on the publication on the Gutianshan Forest Dynamic Plot (24ha plot). --- A third approach is the number of stems are bigger than a certain diameter. (dbh_15: number of trees larger than 10cm in dbh, based on stems larger than 15 cm found 2008 in the CSPsStem diameter distribution)
dimensionless
real
Stem diameter distribution
Measures based on stem diameter distribution. Additional to the usual quantiles and moments, we are providing parameters of the Weibull distribution fitted to the stem diameter distribution using fitdistr() from the MASS package in R. -- Another approach is to calculate the percent of stems that have a certain diameter: The boundaries of the stem diameter classes (3 to 5, 5 to 10, 10 to 20, 20 to 30, 30 to 60, above 60) are based on the publication on the Gutianshan Forest Dynamic Plot (24ha plot). --- A third approach is the number of stems are bigger than a certain diameter.
number of trees larger than 10cm in dbh, based on stems larger than 15 cm found 2008 in the CSPsStem diameter distribution
Stem diameter distribution (dbh_20), count
dbh_20
Measures based on stem diameter distribution. Additional to the usual quantiles and moments, we are providing parameters of the Weibull distribution fitted to the stem diameter distribution using fitdistr() from the MASS package in R. -- Another approach is to calculate the percent of stems that have a certain diameter: The boundaries of the stem diameter classes (3 to 5, 5 to 10, 10 to 20, 20 to 30, 30 to 60, above 60) are based on the publication on the Gutianshan Forest Dynamic Plot (24ha plot). --- A third approach is the number of stems are bigger than a certain diameter. (dbh_20: number of trees larger than 10cm in dbh, based on stems larger than 20 cm found 2008 in the CSPsStem diameter distribution)
dimensionless
real
Stem diameter distribution
Measures based on stem diameter distribution. Additional to the usual quantiles and moments, we are providing parameters of the Weibull distribution fitted to the stem diameter distribution using fitdistr() from the MASS package in R. -- Another approach is to calculate the percent of stems that have a certain diameter: The boundaries of the stem diameter classes (3 to 5, 5 to 10, 10 to 20, 20 to 30, 30 to 60, above 60) are based on the publication on the Gutianshan Forest Dynamic Plot (24ha plot). --- A third approach is the number of stems are bigger than a certain diameter.
number of trees larger than 10cm in dbh, based on stems larger than 20 cm found 2008 in the CSPsStem diameter distribution
Stem diameter distribution (dbh_25), count
dbh_25
Measures based on stem diameter distribution. Additional to the usual quantiles and moments, we are providing parameters of the Weibull distribution fitted to the stem diameter distribution using fitdistr() from the MASS package in R. -- Another approach is to calculate the percent of stems that have a certain diameter: The boundaries of the stem diameter classes (3 to 5, 5 to 10, 10 to 20, 20 to 30, 30 to 60, above 60) are based on the publication on the Gutianshan Forest Dynamic Plot (24ha plot). --- A third approach is the number of stems are bigger than a certain diameter. (dbh_25: number of trees larger than 10cm in dbh, based on stems larger than 25 cm found 2008 in the CSPsStem diameter distribution)
dimensionless
real
Stem diameter distribution
Measures based on stem diameter distribution. Additional to the usual quantiles and moments, we are providing parameters of the Weibull distribution fitted to the stem diameter distribution using fitdistr() from the MASS package in R. -- Another approach is to calculate the percent of stems that have a certain diameter: The boundaries of the stem diameter classes (3 to 5, 5 to 10, 10 to 20, 20 to 30, 30 to 60, above 60) are based on the publication on the Gutianshan Forest Dynamic Plot (24ha plot). --- A third approach is the number of stems are bigger than a certain diameter.
number of trees larger than 10cm in dbh, based on stems larger than 25 cm found 2008 in the CSPsStem diameter distribution
Stem diameter distribution (dbh_30), count
dbh_30
Measures based on stem diameter distribution. Additional to the usual quantiles and moments, we are providing parameters of the Weibull distribution fitted to the stem diameter distribution using fitdistr() from the MASS package in R. -- Another approach is to calculate the percent of stems that have a certain diameter: The boundaries of the stem diameter classes (3 to 5, 5 to 10, 10 to 20, 20 to 30, 30 to 60, above 60) are based on the publication on the Gutianshan Forest Dynamic Plot (24ha plot). --- A third approach is the number of stems are bigger than a certain diameter. (dbh_30: number of trees larger than 10cm in dbh, based on stems larger than 30 cm found 2008 in the CSPsStem diameter distribution)
dimensionless
real
Stem diameter distribution
Measures based on stem diameter distribution. Additional to the usual quantiles and moments, we are providing parameters of the Weibull distribution fitted to the stem diameter distribution using fitdistr() from the MASS package in R. -- Another approach is to calculate the percent of stems that have a certain diameter: The boundaries of the stem diameter classes (3 to 5, 5 to 10, 10 to 20, 20 to 30, 30 to 60, above 60) are based on the publication on the Gutianshan Forest Dynamic Plot (24ha plot). --- A third approach is the number of stems are bigger than a certain diameter.
number of trees larger than 10cm in dbh, based on stems larger than 30 cm found 2008 in the CSPsStem diameter distribution
Stem diameter distribution (dbh_35), count
dbh_35
Measures based on stem diameter distribution. Additional to the usual quantiles and moments, we are providing parameters of the Weibull distribution fitted to the stem diameter distribution using fitdistr() from the MASS package in R. -- Another approach is to calculate the percent of stems that have a certain diameter: The boundaries of the stem diameter classes (3 to 5, 5 to 10, 10 to 20, 20 to 30, 30 to 60, above 60) are based on the publication on the Gutianshan Forest Dynamic Plot (24ha plot). --- A third approach is the number of stems are bigger than a certain diameter. (dbh_35: number of trees larger than 10cm in dbh, based on stems larger than 35 cm found 2008 in the CSPsStem diameter distribution)
dimensionless
real
Stem diameter distribution
Measures based on stem diameter distribution. Additional to the usual quantiles and moments, we are providing parameters of the Weibull distribution fitted to the stem diameter distribution using fitdistr() from the MASS package in R. -- Another approach is to calculate the percent of stems that have a certain diameter: The boundaries of the stem diameter classes (3 to 5, 5 to 10, 10 to 20, 20 to 30, 30 to 60, above 60) are based on the publication on the Gutianshan Forest Dynamic Plot (24ha plot). --- A third approach is the number of stems are bigger than a certain diameter.
number of trees larger than 10cm in dbh, based on stems larger than 35 cm found 2008 in the CSPsStem diameter distribution
Diameter at breast height (max_1), centimeter
max_1
Diameter of a tree, measured at 1.3 m height (max_1: dbh of the largest tree in a CSP; Diameter at breast height; )
dimensionless
real
Diameter at breast height
Diameter of a tree, measured at 1.3 m height
dbh of the largest tree in a CSP; Diameter at breast height;
diameter tape, calliper
Diameter at breast height (max_2), centimeter
max_2
Diameter of a tree, measured at 1.3 m height (max_2: dbh of the 2nd largest tree in a CSP; Diameter at breast height; )
dimensionless
real
Diameter at breast height
Diameter of a tree, measured at 1.3 m height
dbh of the 2nd largest tree in a CSP; Diameter at breast height;
diameter tape, calliper
Diameter at breast height (max_3), centimeter
max_3
Diameter of a tree, measured at 1.3 m height (max_3: dbh of the 3rd largest tree in a CSP; Diameter at breast height; )
dimensionless
real
Diameter at breast height
Diameter of a tree, measured at 1.3 m height
dbh of the 3rd largest tree in a CSP; Diameter at breast height;
diameter tape, calliper
Diameter at breast height (max_4), centimeter
max_4
Diameter of a tree, measured at 1.3 m height (max_4: max_4; Diameter at breast height; )
dimensionless
real
Diameter at breast height
Diameter of a tree, measured at 1.3 m height
max_4; Diameter at breast height;
diameter tape, calliper
Diameter at breast height (max_5), centimeter
max_5
Diameter of a tree, measured at 1.3 m height (max_5: max_5; Diameter at breast height; )
dimensionless
real
Diameter at breast height
Diameter of a tree, measured at 1.3 m height
max_5; Diameter at breast height;
diameter tape, calliper
Diameter at breast height (max_6), centimeter
max_6
Diameter of a tree, measured at 1.3 m height (max_6: max_6; Diameter at breast height; )
dimensionless
real
Diameter at breast height
Diameter of a tree, measured at 1.3 m height
max_6; Diameter at breast height;
diameter tape, calliper
Diameter at breast height (max_7), centimeter
max_7
Diameter of a tree, measured at 1.3 m height (max_7: max_7; Diameter at breast height; )
dimensionless
real
Diameter at breast height
Diameter of a tree, measured at 1.3 m height
max_7; Diameter at breast height;
diameter tape, calliper
Diameter at breast height (max_8), centimeter
max_8
Diameter of a tree, measured at 1.3 m height (max_8: max_8; Diameter at breast height; )
dimensionless
real
Diameter at breast height
Diameter of a tree, measured at 1.3 m height
max_8; Diameter at breast height;
diameter tape, calliper
Diameter at breast height (max_9), centimeter
max_9
Diameter of a tree, measured at 1.3 m height (max_9: max_9; Diameter at breast height; )
dimensionless
real
Diameter at breast height
Diameter of a tree, measured at 1.3 m height
max_9; Diameter at breast height;
diameter tape, calliper
Diameter at breast height (max_10), centimeter
max_10
Diameter of a tree, measured at 1.3 m height (max_10: max_10; Diameter at breast height; )
dimensionless
real
Diameter at breast height
Diameter of a tree, measured at 1.3 m height
max_10; Diameter at breast height;
diameter tape, calliper
Successional age of a forest plot (tree_age_max5), year
tree_age_max5
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. (tree_age_max5: correlated age of the 5th largest tree, based on stem cores taken in the CSPs; taken as estimate for the plot successional ageSuccessional 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.
correlated age of the 5th largest tree, based on stem cores taken in the CSPs; taken as estimate for the plot successional ageSuccessional age of a forest plot
Successional age of a forest plot (ageFang2008),
ageFang2008
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. (ageFang2008: successional age in years as provided by Mr. FangSuccessional 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.
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.
successional age in years as provided by Mr. FangSuccessional age of a forest plot
Land use (MrFang),
MrFang
CSP land use history interviews provided by Mr. Fang (MrFang: information on land use history and successional age of the Comparative study plot)
CSP land use history interviews provided by Mr. Fang
Land use
CSP land use history interviews provided by Mr. Fang
information on land use history and successional age of the Comparative study plot
yes
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