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ForIT: A package that implements as R functions the INFC-2005 equations estimating single tree volume and phytomass

Authors: Puletti, Nicola; Grotti, Mirko; Marra, Elena; Scotti, Roberto;

ForIT: A package that implements as R functions the INFC-2005 equations estimating single tree volume and phytomass

Abstract

Tabacchi et al. (2011) published a very detailed study producing a uniform system of functions to estimate tree volume and phytomass components (stem, branches, stool). The estimates of the 2005 Italian forest inventory (https://inventarioforestale.org/) are based on these functions. The study documents the domain of applicability of each function and the equations to quantify estimates accuracies for individual estimates as well as for aggregated estimates. This package makes the functions available in the R environment. Version 2 exposes two distinc functions for individual and summary estimates. To facilitate access to the functions, tree species identification is now based on EPPO species codes (https://data.eppo.int/).

{"references": ["Tabacchi, Giovanni, L. Di Cosmo, Patrizia Gasparini, e S Morelli. 2011. \u00abStima del volume e della fitomassa delle principali specie forestali italiane. Equazioni di previsione, tavole del volume e tavole della fitomassa arborea epigea.\u00bb Trento: Consiglio per la Ricerca e la sperimentazione in Agricoltura, Unit\u00e0 di Ricerca per il Monitoraggio e la Pianificazione Forestale."]}

Work partially funded by "UniSS.it - fondo di Ateneo per la ricerca 2019"

Country
Italy
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Keywords

tree volume tables, biomass, forest mensuration, volume tables, error propagation

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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