Climatic and Topographic Variables Improve Estimation Accuracy of Patula Pine Forest Site Productivity in Southern Mexico

Nava-Nava, Adan; Santiago-García, Wenceslao; Quiñonez-Barraza, Gerónimo; Santos-Posadas, Héctor M. De los; Valdez-Lazalde, José René; Ángeles‐Pérez, Gregorio

doi:10.3390/f13081277

Cited by 6 publications

(1 citation statement)

References 79 publications

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“…Asimismo, en la presente investigación se aplicó la suposición fundamental de que no se puede identificar exactamente el verdadero proceso, pero diferentes modelos pueden desempeñar un papel complementario en la generación de datos (Terui y Van Dijk 2002), como en el caso de la altura dominante de los rodales. La estrategia fue similar a la implementada por Nava-Nava et al (2022), quienes señalan que la altura de los árboles no se puede conocer con certeza, incluso con mediciones de campo convencionales, por lo que la estimación con modelos permite una fuente de datos adecuada. Por tanto, los resultados obtenidos en la presente investigación corroboran la ro-Cuadro 6.…”

Section: Discussionunclassified

Ajuste y validación de modelos de crecimiento en altura dominante e índices de sitio para Pinus oaxacana del sur de México

et al. 2022

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Site index models allow for the characterization of forest site productivity and the development of management strategies to achieve objectives of production and conservation of forest resources. The goal of this study was to fit and validate growth models of dominant height and site index for Pinus oaxacana Mirov. The database was derived from 4 inventories in 44 permanent plots and 58 temporary plots, established in even-aged stands located in Ixtlán de Juárez, Oaxaca, Mexico. The data were randomly partitioned into subsets of 50 %, 60 %, 70 %, and 80 % for the model adjustments and the remaining data for each subset were used for cross-validation. The models fitted were Korf, Hossfeld IV and Chapman-Richards, in their expressions ADA (algebraic difference approach) and GADA (generalized algebraic difference approach), using the nested iterative method under the non-linear least squares technique. The models that presented the best statistics for fit and validation were: in ADA, anarmorphic Korf b 0 (70 %) and polymorphic Korf b 1 (80 %); in GADA, Chapman-Richards (70 %) and Korf (80 %). The Chapman-Richards GADA model presented the most suitable graphical behavior and was selected to classify the forest site productivity. The dominant height and site index model applied to quantify the productive potential of P. oaxacana stands constitutes a valuable tool for the sustainable management of this species in the forests of Oaxaca, Mexico.

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Section: Discussionunclassified

Ajuste y validación de modelos de crecimiento en altura dominante e índices de sitio para Pinus oaxacana del sur de México

et al. 2022

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Bayesian approach for modeling diameter distributions of patula pine (Pinus patula Schiede ex Schltdl. & Cham.) stands in Southern Mexico

Nava-Nava,

Ángeles-Pérez,

Santiago-García

et al. 2024

Trees, Forests and People

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The impact of climate on the dominant height and climate thresholds for P. elliottii, P. taeda, P. patula, and P. patula x P. tecunumanii plantation forests

van der Merwe,

Lindner,

Ernst

et al. 2024

Can. J. For. Res.

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Plantation forests were introduced into South Africa to satisfy the regional demand for wood-based products, which are largely found in the Mpumalanga province. To better understand the impacts of climate on the dominant height growth of commercially important plantation species, enumeration data collected from 2012 to 2023 was scrutinised, representing 34740 plots in 2082 plantation compartments. Statistically significant multiple linear regression models were developed to predict dominant heights for Pinus elliottii, Pinus taeda, Pinus patula, and Pinus patula x Pinus tecunumanii hybrids using climate variables as independent factors. Mean annual maximum temperature was statistically significant when modelling dominant height for P. elliottii, while winter maximum temperature was significant for P . taeda, P. patula, and P. patula x P. tecunumanii. Rainfall was found to be significant for P. elliottii and P. taeda, while spring rainfall was found to be more important when modelling dominant height for P. patula. Interestingly, autumn rainfall was found to have a negative impact on dominant height growth of P. taeda and P. patula, while rainfall was not significant in P. patula x P. tecunumanii. The findings imply that the southern pines have water thresholds, while Mexican pines are more temperature limited than water limited.

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Climatic and Topographic Variables Improve Estimation Accuracy of Patula Pine Forest Site Productivity in Southern Mexico

Cited by 6 publications

References 79 publications

Ajuste y validación de modelos de crecimiento en altura dominante e índices de sitio para Pinus oaxacana del sur de México

Ajuste y validación de modelos de crecimiento en altura dominante e índices de sitio para Pinus oaxacana del sur de México

Bayesian approach for modeling diameter distributions of patula pine (Pinus patula Schiede ex Schltdl. & Cham.) stands in Southern Mexico

The impact of climate on the dominant height and climate thresholds for P. elliottii, P. taeda, P. patula, and P. patula x P. tecunumanii plantation forests

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