allodb: An R package for biomass estimation at globally distributed extratropical forest plots
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00027073%3A_____%2F22%3AN0000016" target="_blank" >RIV/00027073:_____/22:N0000016 - isvavai.cz</a>
Result on the web
<a href="https://besjournals.onlinelibrary.wiley.com/doi/10.1111/2041-210X.13756" target="_blank" >https://besjournals.onlinelibrary.wiley.com/doi/10.1111/2041-210X.13756</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1111/2041-210X.13756" target="_blank" >10.1111/2041-210X.13756</a>
Alternative languages
Result language
angličtina
Original language name
allodb: An R package for biomass estimation at globally distributed extratropical forest plots
Original language description
Allometric equations for calculation of tree above-ground biomass (AGB) form the basis for estimates of forest carbon storage and exchange with the atmosphere. While standard models exist to calculate forest biomass across the tropics, we lack a standardized tool for computing AGB across boreal and temperate regions that comprise the global extratropics. Here we present an integrated R package, allodb, containing systematically selected published allometric equations and proposed functions to compute AGB. The data component of the package is based on 701 woody species identified at 24 large Forest Global Earth Observatory (ForestGEO) forest dynamics plots representing a wide diversity of extratropical forests. A total of 570 parsed allometric equations to estimate individual tree biomass were retrieved, checked and combined using a weighting function designed to ensure optimal equation selection over the full tree size range with smooth transitions across equations. The equation dataset can be customized with built-in functions that subset the original dataset and add new equations. Although equations were curated based on a limited set of forest communities and number of species, this resource is appropriate for large portions of the global extratropics and can easily be expanded to cover novel forest types.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10618 - Ecology
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Methods in Ecology and Evolution
ISSN
2041-210X
e-ISSN
2041-2096
Volume of the periodical
13
Issue of the periodical within the volume
2
Country of publishing house
US - UNITED STATES
Number of pages
9
Pages from-to
330-338
UT code for WoS article
000721440300001
EID of the result in the Scopus database
2-s2.0-85118274713