Modelling forest stand maturity from National Forest Inventory and terrestrial laser scanning data

• Autores: Juan Alberto Molina Valero
• Directores de la Tesis: Juan Gabriel Álvarez González (dir. tes.), César Pérez Cruzado (dir. tes.)
• Lectura: En la Universidade de Santiago de Compostela ( España ) en 2022
• Idioma: inglés
• Tribunal Calificador de la Tesis: Isabel Cañellas Rey de Viñas (presid.), Roque Rodríguez Soalleiro (secret.), Clara Antón Fernández (voc.)
• Programa de doctorado: Programa de Doctorado en Ingeniería para el Desarrollo Rural y Civil por la Universidad de Santiago de Compostela
• Materias:
  • Matemáticas
    • Estadística
      • Técnicas de predicción estadística
  • Ciencias de la vida
    • Biología vegetal (botánica)
      • Dendrología
  • Ciencias agrarias
    • Ciencia forestal
      • Silvicultura
• Enlaces
  • Tesis en acceso abierto en: MINERVA
• Resumen

  • Estimation of forest maturity linked to the biomass (or carbon) stock capacity is considered one of the most important issues regarding forest management and planning. This doctoral thesis explores such relationships and considers the use of stand level maximum biomass stock as a proxy for forest maturity through site quality gradient, as a measure that can feasibly be estimated from National Forest Inventory data. The research study was conducted in Spain for maritime pine (Pinus pinaster ssp. atlantica H. de Vill.), Scots pine (Pinus sylvestris L.), beech (Fagus sylvatica L.), beech-fir and silver fir (Abies alba Mill.) forests. Finally, the potential of terrestrial laser scanning (TLS) technology for estimating forest features in mature stands was also explored. For this purpose, the R package FORTLS was developed.