Predicting the Natural Suitability of Teak (Tectona grandis L.f.) at Mae Yom National Park, Phrae Province, Thailand Using Logistic Regression Model

  • Journal of Environmental Science and Management
  • Torlarp Kamyo Department of Agroforestry, Maejo University Phrae Campus, Phrae, Thailand, 54140
  • Sura Pattanakiat
  • Lamthai Asanok
  • Khanitin Samanmit
  • Arnon Cherpaiboon
  • Sathid Thinkamphaeng
  • Dokrak Marod


The natural suitability of teak (Tectona grandis L.f.) at Mae Yom National Park, Phrae Province, Thailand was investigated using logistic regression. The study identified the relationship between key physical and soil properties with the presence of teak at natural sites, and applied a geographic information system platform to identify potential natural sites of teak. Fourteen variables were included in the model, five of these were found to have a significant effect (p < 0.05). Elevation was the most significant topographic variable, whereas magnesium, organic matter, potassium, and calcium were the most significant soil variables. The site prediction had 91.8% accuracy for identifying areas with high, moderate, and low probabilities of being suitable natural habitats for teak. These areas covered 87.63, 244.33, and 163.54 km2, respectively. 

Keywords: logistic regression model, Mae Yom National Park, suitability prediction, Tectona grandis L.f., Thailand