Predicting Diameter Distributions in Mixed Forests in Southern Mexico
Understanding the diameter structure of a stand is crucial for making informed decisions regarding silviculture and forest management. This is achieved by collecting forest inventory data and applying them to probability density functions. The objective of this study was to identify the optimal prob...
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| Format: | Article |
| Language: | English |
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Croatian Forest Research Institute
2024-01-01
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| Series: | South-East European Forestry |
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| Online Access: | https://hrcak.srce.hr/file/472775 |
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| author | Juan Carlos Guzmán-Santiago Héctor Manuel de los Santos-Posadas Benedicto Vargas-Larreta Martín Gómez-Cárdenas Wenceslao Santiago-García Adan Nava-Nava |
| author_facet | Juan Carlos Guzmán-Santiago Héctor Manuel de los Santos-Posadas Benedicto Vargas-Larreta Martín Gómez-Cárdenas Wenceslao Santiago-García Adan Nava-Nava |
| author_sort | Juan Carlos Guzmán-Santiago |
| collection | DOAJ |
| description | Understanding the diameter structure of a stand is crucial for making informed decisions regarding silviculture and forest management. This is achieved by collecting forest inventory data and applying them to probability density functions. The objective of this study was to identify the optimal probability density function for describing the diameter distribution in a mixed temperate forest in Oaxaca, Mexico. Circular sampling plots of 1000 m² were established, and the diameter at breast height (DBH) and total height of 16,863 trees of the 25 most important timber species were measured. Four probability density functions (Weibull 2P, Log-Normal, Log-Logistic, and Burr) were fitted by using maximum likelihood approach for different silvicultural treatments. The predictive ability of the functions was evaluated using bias, root mean square error, Kolmogorov-Smirnov statistic and graphical analyses. In terms of accuracy and parsimony, the Burr function demonstrated the best performance, followed by the Log-Normal and Log-Logistic functions. Consequently, the Burr function is recommended for modeling the diameter distribution of stands under different treatments in the study site. |
| format | Article |
| id | doaj-art-5e2cc6ead0234d87b2f039b50ae72672 |
| institution | Kabale University |
| issn | 1847-6481 1849-0891 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | Croatian Forest Research Institute |
| record_format | Article |
| series | South-East European Forestry |
| spelling | doaj-art-5e2cc6ead0234d87b2f039b50ae726722025-01-20T21:27:38ZengCroatian Forest Research InstituteSouth-East European Forestry1847-64811849-08912024-01-0115216117310.15177/seefor.24-16Predicting Diameter Distributions in Mixed Forests in Southern MexicoJuan Carlos Guzmán-Santiago0Héctor Manuel de los Santos-Posadas1Benedicto Vargas-Larreta2Martín Gómez-Cárdenas3Wenceslao Santiago-García4Adan Nava-Nava5Ciencias Forestales, Colegio de Postgraduados, Campus Montecillo, Carretera México-Texcoco km 36.5, 32910 Montecillo, Texcoco, MexicoCiencias Forestales, Colegio de Postgraduados, Campus Montecillo, Carretera México-Texcoco km 36.5, 32910 Montecillo, Texcoco, MexicoTecnológico Nacional de México Campus El Salto, Tecnológico 101, La Forestal, 34942 El Salto, Durango, MéxicoInstituto Nacional de Investigaciones Forestales, Agrícolas y Pecuarias, Campo Experimental Uruapan, Avenida Latinoamericana, 47600 Michoacán, MéxicoUniversidad de la Sierra Juárez, División de Estudios de Postgrado-Instituto de Estudios Ambientales, Avenida Universidad s/n, 68725 Ixtlán de Juárez, Oaxaca, MexicoAgropecuaria Santa Genoveva S.A.P.I. de C.V. Carretera Cayal Nohyaxche km 87, Alfredo V. Bonfil, 24570 San Francisco de Campeche, Campeche, MéxicoUnderstanding the diameter structure of a stand is crucial for making informed decisions regarding silviculture and forest management. This is achieved by collecting forest inventory data and applying them to probability density functions. The objective of this study was to identify the optimal probability density function for describing the diameter distribution in a mixed temperate forest in Oaxaca, Mexico. Circular sampling plots of 1000 m² were established, and the diameter at breast height (DBH) and total height of 16,863 trees of the 25 most important timber species were measured. Four probability density functions (Weibull 2P, Log-Normal, Log-Logistic, and Burr) were fitted by using maximum likelihood approach for different silvicultural treatments. The predictive ability of the functions was evaluated using bias, root mean square error, Kolmogorov-Smirnov statistic and graphical analyses. In terms of accuracy and parsimony, the Burr function demonstrated the best performance, followed by the Log-Normal and Log-Logistic functions. Consequently, the Burr function is recommended for modeling the diameter distribution of stands under different treatments in the study site.https://hrcak.srce.hr/file/472775Burr’s functiondiameter distributiongoodness of fituneven-aged forestssilvicultural treatment |
| spellingShingle | Juan Carlos Guzmán-Santiago Héctor Manuel de los Santos-Posadas Benedicto Vargas-Larreta Martín Gómez-Cárdenas Wenceslao Santiago-García Adan Nava-Nava Predicting Diameter Distributions in Mixed Forests in Southern Mexico South-East European Forestry Burr’s function diameter distribution goodness of fit uneven-aged forests silvicultural treatment |
| title | Predicting Diameter Distributions in Mixed Forests in Southern Mexico |
| title_full | Predicting Diameter Distributions in Mixed Forests in Southern Mexico |
| title_fullStr | Predicting Diameter Distributions in Mixed Forests in Southern Mexico |
| title_full_unstemmed | Predicting Diameter Distributions in Mixed Forests in Southern Mexico |
| title_short | Predicting Diameter Distributions in Mixed Forests in Southern Mexico |
| title_sort | predicting diameter distributions in mixed forests in southern mexico |
| topic | Burr’s function diameter distribution goodness of fit uneven-aged forests silvicultural treatment |
| url | https://hrcak.srce.hr/file/472775 |
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