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A Spatial Forestry Productivity Potential Model for Pinus arizonica Engelm, a Key Timber Species from Northwest Mexico

Author

Listed:
  • Martin Martínez-Salvador

    (Facultad de Zootecnia y Ecología, Universidad Autónoma de Chihuahua, Km 1 Perif, R. Almada, Chihuahua 31453, Mexico)

  • Ricardo Mata-Gonzalez

    (Department of Animal and Rangeland Sciences, Oregon State University, 120 Withycombe Hall, OSU, Corvallis, OR 97331, USA)

  • Alfredo Pinedo-Alvarez

    (Facultad de Zootecnia y Ecología, Universidad Autónoma de Chihuahua, Km 1 Perif, R. Almada, Chihuahua 31453, Mexico)

  • Carlos R. Morales-Nieto

    (Facultad de Zootecnia y Ecología, Universidad Autónoma de Chihuahua, Km 1 Perif, R. Almada, Chihuahua 31453, Mexico)

  • Jesús A. Prieto-Amparán

    (Facultad de Zootecnia y Ecología, Universidad Autónoma de Chihuahua, Km 1 Perif, R. Almada, Chihuahua 31453, Mexico)

  • Griselda Vázquez-Quintero

    (Facultad de Ciencias Agrotecnológicas, Universidad Autónoma de Chihuahua, Chihuahua 31350, Mexico)

  • Federico Villarreal-Guerrero

    (Facultad de Zootecnia y Ecología, Universidad Autónoma de Chihuahua, Km 1 Perif, R. Almada, Chihuahua 31453, Mexico)

Abstract

Pinus arizonica is a widely distributed tree species growing in temperate forests of Northwest Mexico where it is utilized through different regeneration harvest methods. Yet, management models based on estimations of its productive potential are sorely lacking. In this study, a procedure to create a productive map using site index (SI) equations and Geographic Information Systems (GIS) was developed. A SI model for P. arizonica was created for the study area and used to classify a group of randomly sampled plots on three productivity categories (High, Medium, and Low) for management purposes. Climatic, topographic and edaphic variables were determined on the sampled plots. Then, a statistically-based analysis was performed to identify the climatic, topographic and edaphic variables significantly influencing the productivity levels. Based on the values of these significant variables, a map of productive potential was elaborated for the whole study area. Sites with the highest productivity were those with slopes ≤12°, soil depths ≥0.46 m, minimum and maximum mean annual temperatures of 5 °C and 18 °C respectively, and precipitation ≥900 mm. This methodology could be considered for similar species/conditions where productivity models do not exist or to update old models rendered obsolete by climate change.

Suggested Citation

  • Martin Martínez-Salvador & Ricardo Mata-Gonzalez & Alfredo Pinedo-Alvarez & Carlos R. Morales-Nieto & Jesús A. Prieto-Amparán & Griselda Vázquez-Quintero & Federico Villarreal-Guerrero, 2019. "A Spatial Forestry Productivity Potential Model for Pinus arizonica Engelm, a Key Timber Species from Northwest Mexico," Sustainability, MDPI, vol. 11(3), pages 1-15, February.
  • Handle: RePEc:gam:jsusta:v:11:y:2019:i:3:p:829-:d:203733
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    References listed on IDEAS

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