Tree volume modeling for forest types in the Atlantic Forest: generic and specific models

Tree volume modeling for forest types in the Atlantic Forest: generic and specific models

National Forest Inventories are important primary data sources for large-scale forest resource surveys, in which volume estimates of sampled trees are essential for quantitative analysis. Volume prediction models in natural forests are scarce in Brazil due to legal restrictions for cutting trees, es...

Full description

Saved in:
Bibliographic Details
Published in:IForest (Viterbo) Vol. 13; no. 1; pp. 417 - 425
Main Authors: Cysneiros, VC, Gaui, TD, Silveira Filho, TB, Pelissari, AL, Machado, SDA, De Carvalho, DC, Moura, TA, Amorim, HB
Format: Journal Article
Language:English
Published: Potenza The Italian Society of Silviculture and Forest Ecology (SISEF) 01-10-2020
Italian Society of Silviculture and Forest Ecology (SISEF)
Subjects:
allometric models
Data collection
Estimates
Forest resources
Forests
Goodness of fit
Hypotheses
International agreements
national forest inventory
non-destructive methods
Prediction models
Regression analysis
Resource surveys
Species
Statistical analysis
Statistical tests
stem and total volume
Timber inventory
Trees
Variables
Brazil
Atlantic Forest
Rio de Janeiro Brazil
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:National Forest Inventories are important primary data sources for large-scale forest resource surveys, in which volume estimates of sampled trees are essential for quantitative analysis. Volume prediction models in natural forests are scarce in Brazil due to legal restrictions for cutting trees, especially in the Atlantic Forest. This study aimed to fit volume models for the main forest types and timber species of the Atlantic Forest in Rio de Janeiro state, considering two hypotheses: (I) generic volume models provide greater generalizability of estimates; however, (II) they may reduce the accuracy of forest type- and species-specific predictions. Four linear models with logarithmic transformation of variables were evaluated to fit volume models for generic and specific datasets, which correspond to the main forest types and timber species. Goodness-of-fit statistics were calculated to compare the accuracy and efficiency of the models, and selected models were validated through leave-one-out cross-validation procedures. The estimates obtained by generic and specific models were compared by non-parametric hypothesis tests. Generic models showed similar predictions to the specific models for forest types and timber species, with similar potential for stem and total volume predictions. Therefore, generic models can be used for Atlantic Forests in Rio de Janeiro state, while specific models are recommended to obtain more detailed local estimates.
ISSN:1971-7458
1971-7458
DOI:10.3832/ifor3495-013