## Allometries: Tree species growth, biomass and crown data for detailed allometries

#### Usage Rights

This data is Private.

Brezzi Matteo, Schmid Bernhard, Baruffol Martin

#### Dataset Abstract

In order to get tree growth curves we estabilshed an allometry campaign during which we carefully measured, subsampled, dried and then re-constructed the biomass of 154 trees belonging to 8 species. The sampling is done to allows estimation of biomasses for different compartments in order to see if the different tree species have different growth pattern. The neighbours are as well measured to look at a possible influence of competition on tree growth and tree biomass compartimentation

#### Dataset Design

Trees were randomly chosen with the condition to look healthy and to have a particular DBH: because trees evenly located along the size range are needed to produce accurate growth curve estimate.General point:Every biomass or leaf area estimation come from an independent estimation and then has is own Standard Deviation. All the biomasses have been estimated SEPARATELY for each species in order to preserve specific differences (no pooling toward the grand mean). In all the models, the individual trees were considered as a random factor.The estimates and their standard deviation come from the posteriori distribution drawn out of the Markov chain Monte Carlo (three chains here). Each model was set up with 500'000 iterations from which the first 300'000 were discarded. Among the 200'000 valid iterations, one over twenty was kept in order to avoid the correlation between two consecutive estimates. So, each biomass estimate is the MEAN of the results given by the MCMC. The following variable is the SD of this mean (= "_sd").The model fit a value for each segment or each branch considered. The sum of them is done within the model: the final estimate gets a standard deviation that is right in confront with error propagation.The errors we provide are MODEL ERRORS. Thus they come from the variability around the estimates. Small trees for which every branch was measured in the lab have NO model error: the sd = 0.Bayesian estimation allows to include prior knowledge into the model: the priors. Here, we never used any informative priors, which means that our estimates come only from our own data.Branch biomass estimates:

Branches are "branches" in our definition when their diameter is equal or below 3 cm of diameter. Estimates coming from the sampled branches are the total branch biomass, the branch wood biomass and the branch leaf biomass. . For each branch, the total fresh wood weight ant the total fresh leaf weight were measured, subsamples were dried. From the dry mass of the subsamples the total dry mass of the leaves, wood and total branch were gathered.Usually, we have 6 branches / tree which have the real data measured (real branch number can be seen in the "branch_nb" variable). As descriptor variable we have their diameter and their position in the crown.

We use those predictors to predict the biomass of all the branches measured in vivo on the tree.For the branch biomass estimates, the model has this form:biomass estimate[i] ~ dnorm(yhat[i],tau[i])

yhat[i] is obtained by having three models running, one for the DAM, one for the total branch biomass and one for the total segment biomass. Their estimates are summed inside the model. Similarly, the total living biomass is obtain by summing the total segment biomass and the total branch biomass. The total wood biomass is obtained by summing the total segment biomass with the woody part of the branches biomass. ----- data describe among others: variables that describe the tree shape, the place where it was growing and its social situation;

#### Spatial Extent

According to Google Map, the site is N 29.113494, E 118.008817. The forest is an exploited plantation with about 80% of the trees being Cunninghamia lanceolata. The 20% remaining is naturally present there and comes from the surrounding natural forest. The site is situated at the end of a small valley with relatively strong slope

#### Temporal Extent

Time needed to sample the 154 trees

#### Taxonomic Extent

154 trees belonging to 8 different species (n, DBH size range in cm): 2 coniferous: Pinus massoniana (19, 2.9 – 23.2) and Cunninghamia lanceolata (17, 1 – 17.7), 3 deciduous: Liquidambar formosana (15, 2.6 – 37.5), Sassafras tzumu (20, 5.1 – 27.7) and Alniphyllum fortunei (21, 2.4 – 18.7), 3 evergreens: Castanopsis fargesi (25, 2.5 – 27.3), Castanopsis sclerophylla (16, 2.7 – 16.5) and Schima superba (21, 1.2 – 23.1).

#### Data Analysis

Exponential curves according to species and other covariates; This data are not "raw", to get the biomasses from the raw data one needs to many steps, so here we provide the processed data and the methods required to get them

### Data columns available in the raw data part of this dataset

*Data group: Tree identifier for harvested trees*

*Keywords: tree, object*

Values |
---|

105 |

103 |

101 |

104 |

107 |

*Baruffol, M.*also contributed to this column.

*Data group: Helper*

Values |
---|

alf |

lif |

cas |

caf |

cul |

*Data group: Scientific plant species name*

*Keywords: species, taxon, allometries*

Values |
---|

Castanopsis fargesii |

Liquidambar formosana |

Cunninghamia lanceolata |

Alniphyllum fortunei |

Castanopsis sclerophylla |

*Unit: Degree*

*Data group: Inclination*

*Keywords: inclination, slope*

Values |
---|

12 |

10 |

14 |

13 |

16 |

*Baruffol, M.*also contributed to this column.

*Unit: Degree*

*Data group: Aspect*

*Keywords: exposition, aspect*

Values |
---|

0 |

10 |

190 |

197 |

20 |

*Baruffol, M.*also contributed to this column.

*Unit: none*

*Data group: Curvature*

*Keywords: curvature*

Values |
---|

concave |

slope |

convex |

*Baruffol, M.*also contributed to this column.

*Unit: Centimeters*

*Data group: Diameter at breast height*

*Keywords: dbh, size*

Values |
---|

1 |

10.3 |

10.1 |

10.2 |

10.4 |

*Unit: Meters*

*Data group: Plant height*

*Keywords: height, size*

Values |
---|

10.7 |

10.4 |

10.6 |

10.5 |

10.3 |

*Baruffol, M.*also contributed to this column.

*Unit: Meters*

*Data group: Crown architecture*

*Keywords: crown*

Values |
---|

0.1 |

1 |

0.4 |

0.9 |

0.8 |

*Baruffol, M.*also contributed to this column.

*Unit: Centimeters*

*Data group: Basal diameter*

*Keywords: basal diameter*

Values |
---|

10.7 |

10.9 |

10 |

11 |

10.3 |

*Baruffol, M.*also contributed to this column.

*Unit: Centimeters*

*Data group: Basal diameter*

*Keywords: basal diameter*

Values |
---|

10.7 |

10.1 |

10.9 |

11 |

10.4 |

*Baruffol, M.*also contributed to this column.

*Unit: none*

*Data group: Tree social status*

*Keywords: social status*

Values |
---|

5 |

3 |

4 |

2 |

*Baruffol, M.*also contributed to this column.

*Unit: Meters*

*Data group: Crown architecture*

*Keywords: crown*

Values |
---|

0.4 |

0 |

-0.3 |

0.3 |

0.2 |

*Baruffol, M.*also contributed to this column.

*Unit: Meters*

*Data group: Crown architecture*

*Keywords: crown*

Values |
---|

-0.5 |

0.2 |

0.4 |

0.5 |

0.6 |

*Baruffol, M.*also contributed to this column.

*Unit: Meters*

*Data group: Crown architecture*

*Keywords: crown*

Values |
---|

0.1 |

-0.1 |

0.2 |

0.15 |

0.05 |

*Baruffol, M.*also contributed to this column.

*Unit: Meters*

*Data group: Crown architecture*

*Keywords: crown*

Values |
---|

0.4 |

0 |

0.8 |

0.6 |

0.7 |

*Baruffol, M.*also contributed to this column.

*Unit: Kilograms*

*Data group: Above and below ground biomass measurement*

*Keywords: response variable, biomass*

Values |
---|

1.00702335333333 |

0.183229019666667 |

0.513031193333333 |

1.02266464333333 |

0.365365278333333 |

*Baruffol, M.*also contributed to this column.

*Unit: Kilograms*

*Data group: Above and below ground biomass measurement*

*Keywords: biomass*

Values |
---|

0.0365129535044636 |

0.0548726710659948 |

0.0381755880348408 |

0.0561967243493172 |

0.0233461183333973 |

*Baruffol, M.*also contributed to this column.

*Unit: Kilograms*

*Data group: Above and below ground biomass measurement*

*Keywords: biomass*

Values |
---|

0.183229019666667 |

0.98988923 |

0.365365278333333 |

0.513031193333333 |

100.941464333333 |

*Baruffol, M.*also contributed to this column.

*Unit: Kilograms*

*Data group: Above and below ground biomass measurement*

*Keywords: biomass*

Values |
---|

0.0435399993116495 |

0.0548726710659948 |

0.0527099073814094 |

0.036764732970587 |

0.0233461183333973 |

*Baruffol, M.*also contributed to this column.

*Unit: Kilograms*

*Data group: Above and below ground biomass measurement*

*Keywords: biomass, wood, dry weight*

Values |
---|

0.392902148333333 |

0.933126776666667 |

0.244039089016667 |

0.835006626666667 |

0.131414159833333 |

*Baruffol, M.*also contributed to this column.

*Unit: Kilograms*

*Data group: Above and below ground biomass measurement*

*Keywords: biomass, dry weight*

Values |
---|

0.043074155425042 |

0.0146875639726168 |

0.0370585212769948 |

0.0382163692981812 |

0.0401769113665396 |

*Baruffol, M.*also contributed to this column.

*Unit: Kilograms*

*Data group: Above and below ground biomass measurement*

*Keywords: biomass, leaf, dry weight*

Values |
---|

0.0213221541079407 |

0.0488727315133333 |

0.0625853693033333 |

0.0247012378983333 |

0.0790891907558767 |

*Baruffol, M.*also contributed to this column.

*Unit: Kilograms*

*Data group: Above and below ground biomass measurement*

*Keywords: biomass, leaf*

Values |
---|

0.00948064263379279 |

0 |

0.0207986236502255 |

0.0141229249980643 |

0.0171096660056617 |

*Baruffol, M.*also contributed to this column.

*Unit: CentimetersSquared*

*Data group: Leaf area*

*Keywords: leaf*

Values |
---|

1040183.77 |

113791.455 |

101954.043333333 |

106295.3635 |

105339.231666667 |

*Baruffol, M.*also contributed to this column.

*Unit: CentimetersSquared*

*Data group: Leaf area*

*Keywords: leaf*

Values |
---|

10139.1876292698 |

10056.9839574142 |

0 |

10024.2631107316 |

102552.884454243 |

*Baruffol, M.*also contributed to this column.

*Unit: Kilograms*

*Data group: Above and below ground biomass measurement*

*Keywords: biomass*

Values |
---|

0.002139311 |

0.0017140617 |

0.0018272328 |

0 |

0.00190497996666667 |

*Baruffol, M.*also contributed to this column.

*Unit: Kilograms*

*Data group: Above and below ground biomass measurement*

*Keywords: biomass*

Values |
---|

0.000195800381588775 |

0 |

0.000291719474569235 |

0.00013547046553382 |

0.00013009448584222 |

*Baruffol, M.*also contributed to this column.

*Unit: Kilograms*

*Data group: Above and below ground biomass measurement*

*Keywords: biomass*

Values |
---|

0.02097 |

0.02116 |

0.00856 |

0 |

0.00349 |

*Baruffol, M.*also contributed to this column.

*Unit: dimentionless*

*Data group: Sample size*

Values |
---|

13 |

11 |

10 |

0 |

12 |

*Baruffol, M.*also contributed to this column.

*Unit: dimentionless*

*Data group: Helper*

Values |
---|

0.674124248139835 |

0.731975089051266 |

0.9590675863808 |

0.827611823934838 |

1.0494343391189 |

*Baruffol, M.*also contributed to this column.

*Unit: Kilograms*

*Data group: Above and below ground biomass measurement*

*Keywords: biomass, branch*

Values |
---|

0.53 |

0.62 |

0.35 |

0.385 |

0.69 |

*Baruffol, M.*also contributed to this column.

*Unit: Kilograms*

*Data group: Above and below ground biomass measurement*

*Keywords: biomass, branch*

Values |
---|

0.32038 |

0.28111 |

0.22789 |

0.38696 |

0.34703 |

*Baruffol, M.*also contributed to this column.

*Unit: dimentionless*

*Data group: Sample size*

Values |
---|

5 |

4 |

3 |

1 |

2 |

*Baruffol, M.*also contributed to this column.

*Unit: dimentionless*

*Data group: Helper*

Values |
---|

11.9072774717309 |

100 |

10.0240708812261 |

10.7740208408193 |

11.9609736842105 |

*Baruffol, M.*also contributed to this column.

### Keywords

aboveground biomass, allometries, aspect, basal diameter, biomass, branch, crown, crown diameter, curvature, dbh, dry weight, exposition, height, inclination, leaf, leaf area, object, response variable, size, slope, social status, species, taxon, tree, tree height, wood### Last update

2017-01-26 11:01