Non-destructive method for estimating leaf area of Erythroxylum pauferrense (Erythroxylaceae) from linear dimensions of leaf blades
Background and Aims: Determining the leaf area is essential for studies on growth, propagation, and ecophysiology of forest species. Developing quick, practical, and accurate methods is needed to estimate leaf area without destroying leaves. Therefore, this research aimed to obtain an equation from...
| Główni autorzy: | , , , |
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| Format: | Online |
| Język: | spa eng |
| Wydane: |
Instituto de Ecología, A.C.
2020
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| Dostęp online: | https://abm.ojs.inecol.mx/index.php/abm/article/view/1717 |
| _version_ | 1799771381873770496 |
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| author | Ribeiro, João Everthon da Silva Coêlho, Ester dos Santos Figueiredo, Francisco Romário Andrade Melo, Marlenildo Ferreira |
| author_facet | Ribeiro, João Everthon da Silva Coêlho, Ester dos Santos Figueiredo, Francisco Romário Andrade Melo, Marlenildo Ferreira |
| author_sort | Ribeiro, João Everthon da Silva |
| collection | ABM |
| description | Background and Aims: Determining the leaf area is essential for studies on growth, propagation, and ecophysiology of forest species. Developing quick, practical, and accurate methods is needed to estimate leaf area without destroying leaves. Therefore, this research aimed to obtain an equation from regression models that meaningfully estimate the leaf area of Erythroxylum pauferrense using linear dimensions of its leaf blades.
Methods: For this purpose, 1200 leaves were randomly collected from different plants in the Mata do Pau-Ferro, a state park located in Areia city, Paraíba state, Brazil. Equations were fitted from simple linear, linear without intercept, quadratic, cubic, power, and exponential regression models. Next, the best equation was selected by checking the following assumptions: higher determination coefficient (R²) and Willmott's index (d), lower Akaike information criterion (AIC) and root mean square error (RMSE), as well as the BIAS index closest to zero.
Key results: Based on the criteria used, all equations fitted using the product of length by width (L.W) can estimate the leaf area of E. pauferrense.
Conclusions: The equation ŷ=0.6740*LW from the linear model without intercept significantly estimates the leaf area of E. pauferrense in a quick and practical way (R²=0.9960; d=0.9953; AIC=1231.61; RMSE=0.4255; BIAS=-0.0130). |
| format | Online |
| id | oai:oai.abm.ojs.inecol.mx:article-1717 |
| institution | Acta Botanica Mexicana |
| language | spa eng |
| publishDate | 2020 |
| publisher | Instituto de Ecología, A.C. |
| record_format | ojs |
| spelling | oai:oai.abm.ojs.inecol.mx:article-17172022-11-25T20:13:53Z Non-destructive method for estimating leaf area of Erythroxylum pauferrense (Erythroxylaceae) from linear dimensions of leaf blades Método no destructivo para estimar el área foliar de Erythroxylum pauferrense (Erythroxylaceae) a partir de las dimensiones lineales de las láminas foliares Ribeiro, João Everthon da Silva Coêlho, Ester dos Santos Figueiredo, Francisco Romário Andrade Melo, Marlenildo Ferreira allometric equations biometry guarda-orvalho leaf modeling. ecuaciones alométricas biometría guarda-orvalho modelado de hojas Background and Aims: Determining the leaf area is essential for studies on growth, propagation, and ecophysiology of forest species. Developing quick, practical, and accurate methods is needed to estimate leaf area without destroying leaves. Therefore, this research aimed to obtain an equation from regression models that meaningfully estimate the leaf area of Erythroxylum pauferrense using linear dimensions of its leaf blades. Methods: For this purpose, 1200 leaves were randomly collected from different plants in the Mata do Pau-Ferro, a state park located in Areia city, Paraíba state, Brazil. Equations were fitted from simple linear, linear without intercept, quadratic, cubic, power, and exponential regression models. Next, the best equation was selected by checking the following assumptions: higher determination coefficient (R²) and Willmott's index (d), lower Akaike information criterion (AIC) and root mean square error (RMSE), as well as the BIAS index closest to zero. Key results: Based on the criteria used, all equations fitted using the product of length by width (L.W) can estimate the leaf area of E. pauferrense. Conclusions: The equation ŷ=0.6740*LW from the linear model without intercept significantly estimates the leaf area of E. pauferrense in a quick and practical way (R²=0.9960; d=0.9953; AIC=1231.61; RMSE=0.4255; BIAS=-0.0130). Antecedentes y Objetivos: La determinación del área foliar es esencial para los estudios sobre crecimiento, propagación y ecofisiología de especies forestales. Es necesario desarrollar métodos rápidos, prácticos y precisos para estimar el área de la hoja sin destruir las hojas. Por lo tanto, esta investigación tuvo como objetivo obtener una ecuación a partir de modelos de regresión que estimen significativamente el área foliar de Erythroxylum pauferrense, utilizando dimensiones lineales de sus láminas foliares. Métodos: Para este propósito, se recolectaron al azar 1200 hojas de diferentes plantas en Mata do Pau-Ferro, un parque estatal ubicado en la ciudad de Areia, estado de Paraíba, Brasil. Las ecuaciones se ajustaron a partir de modelos de regresión lineal simple, lineal sin intercepción, cuadrática, cúbica, de potencia y exponencial. Luego, se seleccionó la mejor ecuación verificando los siguientes supuestos: coeficiente de determinación más alto (R²) e índice de Willmott (d), criterio de información de Akaike más bajo (AIC) y error cuadrático medio (RMSE), así como el índice BIAS más cercano a cero. Resultados clave: Basado en los criterios utilizados, todas las ecuaciones ajustadas usando el producto de largo por ancho (L.W) pueden estimar el área foliar de E. pauferrense. Conclusiones: La ecuación ŷ=0.6740*LW del modelo lineal sin intercepción estima significativamente el área foliar de E. pauferrense de una manera rápida y práctica (R²=0.9960; d=0.9953; AIC=1231.61; RMSE=0.4255; BIAS=-0.0130). Instituto de Ecología, A.C. 2020-06-05 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion artículo evaluado por pares application/pdf text/xml application/epub+zip https://abm.ojs.inecol.mx/index.php/abm/article/view/1717 10.21829/abm127.2020.1717 Acta Botanica Mexicana; No. 127 (2020) Acta Botanica Mexicana; Núm. 127 (2020) 2448-7589 0187-7151 spa eng https://abm.ojs.inecol.mx/index.php/abm/article/view/1717/3632 https://abm.ojs.inecol.mx/index.php/abm/article/view/1717/3662 https://abm.ojs.inecol.mx/index.php/abm/article/view/1717/epub Derechos de autor 2020 Acta Botanica Mexicana https://creativecommons.org/licenses/by-nc/4.0 |
| spellingShingle | Ribeiro, João Everthon da Silva Coêlho, Ester dos Santos Figueiredo, Francisco Romário Andrade Melo, Marlenildo Ferreira Non-destructive method for estimating leaf area of Erythroxylum pauferrense (Erythroxylaceae) from linear dimensions of leaf blades |
| title | Non-destructive method for estimating leaf area of Erythroxylum pauferrense (Erythroxylaceae) from linear dimensions of leaf blades |
| title_full | Non-destructive method for estimating leaf area of Erythroxylum pauferrense (Erythroxylaceae) from linear dimensions of leaf blades |
| title_fullStr | Non-destructive method for estimating leaf area of Erythroxylum pauferrense (Erythroxylaceae) from linear dimensions of leaf blades |
| title_full_unstemmed | Non-destructive method for estimating leaf area of Erythroxylum pauferrense (Erythroxylaceae) from linear dimensions of leaf blades |
| title_short | Non-destructive method for estimating leaf area of Erythroxylum pauferrense (Erythroxylaceae) from linear dimensions of leaf blades |
| title_sort | non-destructive method for estimating leaf area of erythroxylum pauferrense (erythroxylaceae) from linear dimensions of leaf blades |
| url | https://abm.ojs.inecol.mx/index.php/abm/article/view/1717 |
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