Farias, Aline Araújo Gezan, Salvador A. Carvalho, Melissa Pisaroglo de  Ferraz Filho, Antonio Carlos  Soares, Carlos Pedro Boechat <br/><br/>
Allometric Equations to Predict Pinus palustris Biomass in the Southeastern United States 

<br/><br/> Publicação on-line; 22 ref.; 4 tables; 1 illus.; Summary (En) 
<br/><br/> <br/><br/>ABSTRACT<br/><br/>Pinus palustris Mill. ecosystem is considered one of the most threatened of North America.<br/>In  this context, studies on biomass quantification are fundamental for forest management<br/>plans. Thus, the objective of this study was to develop a set of allometric equations to predict<br/>total P.  palustris stump-biomass. Biomass data were collected at different locations in the<br/>southeastern United States. A total of 119 allometric equations were fitted from the combination<br/>of explanatory variables: diameter at breast height (DBH), height (H), age (I), basal area (G),<br/>number of trees per hectare (N), site index (S) and quadratic diameter (Dq). One of the models<br/>that presented the lowest residual standard error (Sy.x) and root mean square error (RMSE)<br/>was ln(W) = -0.9978+0.7082.(H)+0.1009.ln(H.DBH)-0.5310.(N)-0.0003.ln(Dq). Therefore, the<br/>insertion of dendrometric variables characteristic of forest stands has great efficacy in biomass<br/>prediction for trees from different sites.<br/><br/>Keywords: forest management, modeling, regression. 
<br/><br/><label>Subjects--Topical Terms: </label><br/>MANEJO<br/>FLORESTA<br/>PINUS PALUSTRIS<br/>BIOMASSA