Allometric power laws in NZ mountain beech forests

Using above-ground biomass to measure the biomass of individual trees, we tested three power laws (Taylor's law; density-mass allometry; and variance-mass allometry) using 10 censuses of New Zealand mountain beech trees in 250 plots over 30 years on spatial scales ranging from 5 m to kilometers.

The data support an article in Oikos : "Taylor's law and related allometric power laws in New Zealand mountain beech forests: the roles of space, time, and the environment" by Joel E. Cohen, Jiangshan Lai, David A. Coomes, and Robert B. Allen. 2016. (http://dx.doi.org/10.1111/oik.02622)

These resources (data files) represent snapshots of data extracted from the National Vegetation Databank (NVS) for analysis supporting this manuscript. NVS is a living database, and data are subject to error correction and other amendments over time. The most current version of the Oikos paper data can be constructed from the folowing files found on the NVS website :

HARPER/AVOCA FOREST 1974-1975 Stem diameter
HARPER/AVOCA FOREST 1976-1977 Stem diameter
HARPER/AVOCA FOREST 1978-1979 Stem diameter
HARPER/AVOCA FOREST 1980-1981 Stem diameter
HARPER/AVOCA FOREST 1983-1984 Stem diameter
HARPER/AVOCA FOREST 1985-1986 Stem diameter
HARPER/AVOCA FOREST 1987-1988 Stem diameter
HARPER/AVOCA FOREST 1993-1994 Stem diameter
HARPER/AVOCA FOREST 1999-2000 Stem diameter
HARPER/AVOCA FOREST 2004-2005 Stem diameter

Data and Resources

New field dataCSV
Mountain beech tree diameter data from 250 Harper Avoca permanent plots given by plot (quadrat) and 16 subplots within plots. Diameters are in mm.
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Site dataCSV
Site characterisitcs for 250 Harper Avoca permanent plots given by plot (plot.identifier) as well as line and plot number. Also given are available Ca, N% and C% in the upper 10 cm of mineral soil...
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Sitegroup dataCSV
The 250 plots (site) as grouped into 13 geographic blocks.
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MetadataTSV
Field definitions for the 3 data files
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Metadata - Spatial arrangement of subplotsPDF
Description of plot spatial arrangement.
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Code for creating blocks.rR
R script to compute matrix of distance among sites followed by Ward's minimum variance clustering
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Code for DMA.rR
R script for Density Mass Allometry (DMA)
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Code for sample moments.rR
R script to compute and graph the frequency histogram of tree population density.
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Code for TL.rR
R script for Taylor's law (TL).
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Code for VMA.rR
R script for Variance-Mass Allometry (VMA)
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Zip file of allometry datasetZIP
Zip file containing all the data files and code for ease of download. Refer to the readme and licence file contained within for contents and licence permission.
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Additional Info

Field	Value
Theme
Author	Cohen, Joel E. & Lai, Jiangshan & Coomes, David A. & Allen, Robert B.
Maintainer	Rob Allen
Maintainer Email	Rob Allen
Source	https://nvs.landcareresearch.co.nz
Source Created	Unknown
Source Modified	Unknown
Language	English
Spatial	{ "type": "Polygon","coordinates": [[[171.3938765526,-43.1762299819],[171.3938765526,-43.0241013542],[171.755897522,-43.0241013542],[171.755897522,-43.1762299819],[171.3938765526,-43.1762299819]]] }
Source Identifier