CSPs: Tree species stem breaking probability deviation CSPs

Usage Rights

This data is Free for public.

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:
Nadrowski, K. (2013): Deviations from stem breaking probabilities at species level. BEF-China data portal (Accessed through URL http://china.befdata.biow.uni-leipzig.de/datasets/327)

Dataset Abstract

The great 2008 ice storm destroyed considerable areas in the Gutianshan Nature Reserve. In the Comparative Study Plots (CSPs) we quantified the amount of wood downed by the ice storm (coarse woody debris data). Combining data on living and killed trees, we estimated a general unimodal stem breaking probability using a Ricker function. Here we give the averaged deviations from that unimodal function for each species. Positive deviations indicate increased risk to break compared with the general expectation, and negative values indicate a lower risk to break.

Dataset Design

"In the 30x30m CSPs the central of 9 subplots was mapped in greater detail than the remaining 8 plots, resulting in more tree stems <10cm in the central plot only. We checked for duplicated stems based on the stemID. There is an attached files with an R script, with which the data were generated. ---- We used the Power Rickerts function (Bolker 2007) to estimate size dependent mortality due to the ice storm for all individuals. The function describes a uni-modal curve through the origin and returning to zero mortality risk for very large individuals:p=(p ) ̂(x/x ̂ e^((1-x/x ̂ )^α ) )The three parameters of the Power Rickerts function are maximum mortality ((p ) ̂), diameter at maximum mortality (x ̂), and a scaling factor increasing the slope of the curve reaching maximum mortality (α). We used Bayesian inference and Gibbs Sampling via Markov Chain Monte Carlo (JAGS: Plummer, 2003) with uninformative priors to derive mortality risk estimates for each tree individual and to estimate model parameters and their confidence intervals.

Spatial Extent

Comparative Study sites, BEF China Experiment, Gutianshan, China
29°08'-29°17'N
118°02'-118°11'E

Temporal Extent

Living stems in 2008, killed stems in 2008 and early 2009.

Taxonomic Extent

Tree species names as in the reference list for tree species.

Data columns available in the raw data part of this dataset

species
species name; Datagroup description: Scientific plant species name; Datagroup description: Scientific plant species name; Source: Flora of China, Helge Bruelheide (derived from datagroup)
Data group: Scientific plant species name
Keywords: species, explanatory
Values
Albizia kalkora
Alniphyllum fortunei
Adinandra millettii
Camellia fraterna
Camellia chekiangoleosa
* Baruffol, M., Wirth, C., Fang, T., Kahl, A. also contributed to this column.
spec_fam
combination of species an family name; Datagroup description: Helper
Data group: Helper
Values
Camellia fraterna:Theaceae
Albizia kalkora:Fabaceae
Camellia chekiangoleosa:Theaceae
Adinandra millettii:Theaceae
Alniphyllum fortunei:Styracaeae
family
family name
Data group: Plant family name
Keywords: family, taxon, explanatory
Values
Anacardiaceae
Aquifoliaceae
Daphniphyllaceae
Ebenaceae
Elaeocarpaceae
fix_int
general intecepts for deviations form expected breaking risk; Datagroup description: Helper
Data group: Helper
Values
-786.9786256
rand_family
family effect on top of intercept; Datagroup description: Helper
Data group: Helper
Values
131.6553805
-103.367196
109.2303709
122.0830152
127.7812639
rand_spec_in_fam
species within familiy effect; Datagroup description: Helper
Data group: Helper
Values
106.2957885
100.1699536
-10.84664744
100.711451
-108.9443843
rand_spec_stem_break
species specific deviation from expected breaking risk, sum of intercept + family + spec in family
Data group: Deviation from expected stem breaking probability
Keywords: response variable, stem break
Values
-1016.321439
-1003.106769
-1014.451898
-1048.523531
-1084.23999
mixed_m_res
residuals from the random component model with species and plots as random effects, to control phylogenetic independence of the model; Datagroup description: Helper
Data group: Helper
Values
113.1017029
-0.071830465
1003.289224
-103.199347
-111.4491255