Differences of raw cork quality in productive cork oak woods in Sicily in relation to stand density

Risultato della ricerca: Article

12 Citazioni (Scopus)

Abstract

Differences of raw cork quality, in terms of thickness and porosity, were observed in productive cork oak (Quercus suber L.) stands in the Nebrodi and Iblei mountains of Sicily in relation to stand density. Five study areas were chosen across a range of different stand density satisfying specific sampling requirements among two managed cork oak stands.Analysis of variance using Fisher-Snedecor's F test (p<0,05) were used to identify statistically significant differences of cork quality and sylvicultural, dendrometric and cork stripping parameters between study areas within each stand and also between stands. Relationships between cork quality and sylvicultural and dendrometric parameters were also tested using Pearson’s correlation coefficient (r). The results shown that sylvicultural practices are a key factor influencing cork quality: statistically significant differences in cork thickness and crown area were observed between areas at different stand density; positive correlations were found between cork thickness and crown area in lower density study areas favouring a significant vegetative activity; negative correlations were found between the parameters of cork stripping (cork stripping coefficient, cork stripping surface, maximum height of cork stripping) and cork thickness.No correlations were found between cork porosity and dendrometric or sylvicultural parameters, demonstrating the probable genetic origin of cork porosity.
Lingua originaleEnglish
pagine (da-a)923-929
Numero di pagine7
RivistaForest Ecology and Management
Volume260
Stato di pubblicazionePublished - 2010

All Science Journal Classification (ASJC) codes

  • Forestry
  • Nature and Landscape Conservation
  • Management, Monitoring, Policy and Law

Fingerprint Entra nei temi di ricerca di 'Differences of raw cork quality in productive cork oak woods in Sicily in relation to stand density'. Insieme formano una fingerprint unica.

Cita questo