02176nab a2200301 i 4500 BR-BrBNA 20260427133755.0 260427b2019 bl.qr|pooa||| 00| 0 eng | BR-BrBNA eng K10 U10 Farias, Aline Araújo Gezan, Salvador A. Carvalho, Melissa Pisaroglo de Ferraz Filho, Antonio Carlos Soares, Carlos Pedro Boechat Allometric Equations to Predict Pinus palustris Biomass in the Southeastern United States Publicação on-line; 22 ref.; 4 tables; 1 illus.; Summary (En) ABSTRACT Pinus palustris Mill. ecosystem is considered one of the most threatened of North America. In this context, studies on biomass quantification are fundamental for forest management plans. Thus, the objective of this study was to develop a set of allometric equations to predict total P. palustris stump-biomass. Biomass data were collected at different locations in the southeastern United States. A total of 119 allometric equations were fitted from the combination of explanatory variables: diameter at breast height (DBH), height (H), age (I), basal area (G), number of trees per hectare (N), site index (S) and quadratic diameter (Dq). One of the models that presented the lowest residual standard error (Sy.x) and root mean square error (RMSE) was ln(W) = -0.9978+0.7082.(H)+0.1009.ln(H.DBH)-0.5310.(N)-0.0003.ln(Dq). Therefore, the insertion of dendrometric variables characteristic of forest stands has great efficacy in biomass prediction for trees from different sites. Keywords: forest management, modeling, regression. MANEJO FLORESTA PINUS PALUSTRIS BIOMASSA 2929 347954 Rio de Janeiro-RJ Instituto de Florestas - UFRRJ 1994 2025-0453 Floresta e Ambiente (Brazil) 1415-0980 / ISSN 2179-8087 0nline v. 26(special number n.1) p. 1-7; (2019) BR2026001292 https://www.scielo.br/j/floram/a/dWqfvmzgVfRSb5xhNSS89Hr/?format=pdf&lang=en ANA 341577 341577