Revista Chapingo Serie Ciencias Forestales y del Ambiente
Universidad Autónoma Chapingo
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Revista Chapingo Serie Ciencias Forestales y del Ambiente
Volume XXV, issue 2, May - August 2019
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Análisis espacial de las variables fenotípicas en un huerto clonal de Pinus arizonica Engelm. en el norte de México
Spatial analysis of phenotypic variables in a clonal orchard of Pinus arizonica Engelm. in northern Mexico

Rolando Alvarado-Barrera; Marín Pompa-García; José M. Zúñiga-Vásquez; Marcos Jiménez-Casas

http://dx.doi.org/10.5154/r.rchscfa.2018.11.086

Received: 2018-12-03

Accepted: 2019-02-20

Available online: 2019-04-03 / pages.185-199

 

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  • descriptionAbstract

    Introduction: Seed orchards provide germplasm genetically suitable for use in forest restoration. Knowledge of the spatial distribution of attributes is crucial for their management.
    Objective: To model cone production and tree size variables in a clonal orchard of Pinus arizonica Engelm. from a geospatial perspective in order to determine their behavior and distribution.
    Materials and methods: The spatial pattern of tree size variables and cone production of 126 ramets were determined through a geospatial analysis, using the Getis-Ord G statistic. A Pearson correlation analysis (P ≤ 0.05) determined the variables best associated with cone production and these were examined with stepwise regression. In terms of cone production, the best combination was modeled through a geographically weighted regression.
    Results and discussion: Statistically significant (P < 0.01) clustering values were found in the orchard. Correlation analysis showed that all tree size variables, including the moisture index, were statistically related to cone production. Stepwise regression identified a model that presented crown diameter as the variable that best explained cone production. Geographically weighted regression showed that crown diameter moderately influenced cone production.
    Conclusion: Tree size variables and cone production presented a tendency towards clustering. The use of a geospatial perspective allowed a better understanding of the spatial dynamics of tree size variables.

    Keyworks: cone production; tree size variables; spatial distribution; G statistic; geographically weighted regression
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  • starCite article

    Alvarado-Barrera, R., Pompa-García, M., Zúñiga-Vásquez, J. M.,  &  Jiménez-Casas, M. (2019).  Spatial analysis of phenotypic variables in a clonal orchard of Pinus arizonica Engelm. in northern Mexico. Revista Chapingo Serie Ciencias Forestales y del Ambiente, XXV(2), 185-199. http://dx.doi.org/10.5154/r.rchscfa.2018.11.086