Leaf Area Estimation of Palicourea racemosa (Aubl.) Borhidi from Linear Measurements

Abstract Estimating leaf area is essential to evaluate vegetal growth. Our study sought to obtain statistical models to allow the leaf area estimation of Palicourea racemosa, considering its length (L) and width (W). For such purpose, we collected 200 leaves of this species in the State Park Mata do Pau-Ferro, in the municipality of Areia, Paraíba, Northeast of Brazil. The regression models used were: linear, linear without intercept, power and exponential. The choice of the best equation was based on the values of the coefficient of determination (R2), root mean square error (RMSE), Akaike information criterion (AIC), Willmott concordance index (d) and BIAS ratio. All linear and power models may be used to measure the P. racemosa leaf area; however, the power model LA = 0 . 609 * ( L . W ) 0 . 995 is the most recommended to estimate this species’ leaf area.

Bibliographic Details

Main Authors:	Ribeiro,João Everthon da Silva, Figueiredo,Francisco Romário Andrade, Coêlho,Ester dos Santos, Pereira,Walter Esfrain, Albuquerque,Manoel Bandeira de
Format:	Digital revista
Language:	English
Published:	Instituto de Florestas da Universidade Federal Rural do Rio de Janeiro 2020
Online Access:	http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-80872020000400101
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