A NON-DESTRUCTIVE METHOD FOR ESTIMATING LEAF AREA OF Ceiba glaziovii (Kuntze) K. Schum.

Abstract

The determination of leaf area is of fundamental importance in studies involving ecological and ecophysiological aspects of forest species. The objective of this research was to adjust an equation to determine the leaf area of Ceiba glaziovii as a function of linear measurements of leaves. Six hundred healthy leaf limbs were collected in different matrices, with different shapes and sizes, in the Mata do Pau-Ferro State Park, Areia, Paraíba state, Northeast Brazil. The maximum length (L), maximum width (W), product between length and width (L.W), and leaf area of the leaf limbs were calculated. The regression models used to construct equations were: linear, linear without intercept, quadratic, cubic, power and exponential. The criteria for choosing the best equation were based on the coefficient of determination (R²), Akaike information criterion (AIC), root mean square error (RMSE), Willmott concordance index (d) and BIAS index. All the proposed equations satisfactorily estimate the leaf area of C. glaziovii, due to their high determination coefficients (R² ≥ 0.851). The linear model without intercept, using the product between length and width (L.W), presented the best criteria to estimate the leaf area of the species, using the equation 0.4549*LW.

Allometric equations for estimating the leaf area of Thespesia populnea by linear dimensions of leaf blades

“…Other research has also recorded greater variability for the product between length and width (Gomes et al 2020), the product between length and length (Ribeiro et al 2020b), the product between width and width (Oliveira et al 2019b), and observed leaf area (Donato et al 2020). The kurtosis coefficients of the variables of the present study showed that the frequency distribution was flatter than the normal distribution (Ribeiro et al 2020a).…”

Non-destructive method for estimating leaf area of Erythroxylum pauferrense (Erythroxylaceae) from linear dimensions of leaf blades

“…The coefficient of kurtosis (k) value less than 3 (k<3) is an indicative that all analyzed variables had a platykurtic distribution, expected for a normal distribution. This behavior shows that the frequency distribution function of the variables is more flattened than the normal distribution (Ribeiro et al, 2020). This distance from a normal distribution observed in all variables (L, W, L.W, L.L, W.W, and LA) occurred due to deviations in the coefficients of asymmetry and kurtosis.…”

“…This same regression model was recommended to estimate the leaf area of other forest species, such as Combretum leprosum (LA=0.7103*L.W; Candido et al, 2013), Crotalaria juncea L. (LA=0.7390*L.W; Carvalho et al, 2017a), Tectona grandis L. f. (LA=0.4449*L.W; Braga et al, 2018), and Ceiba glaziovii (Kuntze) K. Schum. (LA=0.4549*L.W; Ribeiro et al, 2020).…”

Seedling physiological responses from Ceiba glaziovii (Kutze) K. Skum. to intermittent drought events

“…watering until signs of leaf wilting (SS) varied from 9.3% to 9.6%, before reirrigation, which demonstrates a reduction of about 20 and 50% in soil moisture, for plants grown under moderate water restriction and severe, respectively, when compared to the control treatment (Table 1). The water deficit in the soil is one of the main abiotic factors that affect the establishment and dynamics of plant species, affecting the growth rates and production of dry matter in the initial stage of plant development (Silva et al, 2013;Gratani, 2014;Ribeiro et al, 2019;Santos Júnior et al, 2020).…”