Abstract：
:The Brazilian Savannah, known as Cerrado, has the richest flora in the world among the savannas, with a high degree of endemic species. Despite the global ecological importance of the Cerrado, there are few studies focused on the modeling of the volume and biomass of this forest formation. Volume and biomass estimation can be performed using allometric models, artificial intelligence (AI) techniques and mixed regression models. Thus, the aim of this work was to evaluate the use of AI techniques and mixed models to estimate the volume and biomass of individual trees in vegetation of Brazilian central savanna. Numerical variables (diameter at height of 1.30 m of ground, total height, volume and biomass) and categorical variables (species) were used for the training and fitting of AI techniques and mixed models, respectively. The statistical indicators used to evaluate the training and the adjustment were the correlation coefficient, bias and Root mean square error relative. In addition, graphs were elaborated as complementary analysis. The results obtained by the statistical indicators and the graphical analysis show the great potential of AI techniques and mixed models in the estimation of volume and biomass of individual trees in Brazilian savanna vegetation. In addition, the proposed methodologies can be adapted to other biomes, forest typologies and variables of interest.
journal_name
J Environ Managejournal_title
Journal of environmental managementauthors
Martins Silva JP,Marques da Silva ML,Ferreira da Silva E,Fernandes da Silva G,Ribeiro de Mendonça A,Cabacinha CD,Araújo EF,Santos JS,Vieira GC,Felix de Almeida MN,Fernandes MRMdoi
10.1016/j.jenvman.2019.109368subject
Has Abstractpub_date
2019-11-01 00:00:00pages
109368eissn
0301-4797issn
1095-8630pii
S0301-4797(19)31077-1journal_volume
249pub_type
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