Misael Freitas dos Santos, Afonso Figueiredo Filho, João Ricardo Vasconcellos Gama, Fabiane Aparecida de Souza Retslaff, Daniele Lima da Costa
2020 Cerne  
dos; FIGUEIREDO FILHO, A.; GAMA, J. R. V.; RETSLAFF, F. A. de S.; COSTA, D. L. da. Species-specific equations: Greater precision in commercial volume estimation in managed forests in the amazon. CERNE, v. 26, n. 3, p.315-330, 2020. HIGHLIGHTS Species-specific equations are more precise for volume estimation than generic equations. Generic equations can produce large tendencies to under-and overestimate volumes of individual species. Specific equations reduce underestimation of volume for
more » ... f volume for species that normally possess large trees. Single input species-specific equations are valid and recommended for use in the Tapajos National Forest (TNF). ABSTRACT The objective of this study was to analyze the performance of species-specific equations (SSEs) concerning generic ones in Annual Production Units (GEAPUs) and in a Forest Management Area (GEFMA) in the Brazilian Amazon. A total of 29,119 trees from 43 species were inventoried, harvested, and volumetric measurements were taken in ten APUs, with 10% of this total being separated for validation and comparison of the selected equations. After selection and validation of the equations (GEFMA, GEAPUs and SSEs) they were compared using precision statistics, by contrasting estimated and observed volumes and by residual analysis. Precision statistics were clearly lower for the SSEs. Trend lines near the average observed volume were shown for the SSEs when the estimates were contrasted with the observations. The residuals generated by the SSEs were smaller and statistically different than those of GEFMA and GEAPUs for the majority of cases. The most important commercial species (M. huberi) had its volume overestimated by 10.6, 9.3 and 3.0% when the GEFMA, the GEAPUs, and the SSEs were applied, respectively. Among the species that generally had very large trees, H. petraeum had its volume underestimated by 15.7, 16.6 and 4.4% by the GEFMA, GEAPUs and SSEs, respectively. The greater precision of the SSEs is reflected in better forest management planning decisions with respect to operational and economic aspects. These results show that besides being statistically valid, the SSEs are recommended for obtaining more precise estimates of commercial volume, especially since there is a great demand for reliable estimates for each individual species in forest management areas in the Amazon.
doi:10.1590/01047760202026032741 fatcat:vg6ykpygzrhtdo4geppbiv5osi