Individual tree basal area increment model for sessile oak (Quercus petraea (Matt.) Liebl.) in coppice-originated stands

ÖZDEMİR E.

ENVIRONMENTAL MONITORING AND ASSESSMENT, cilt.193, sa.6, 2021 (SCI-Expanded, Scopus) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 193 Sayı: 6
  • Basım Tarihi: 2021
  • Doi Numarası: 10.1007/s10661-021-09128-5
  • Dergi Adı: ENVIRONMENTAL MONITORING AND ASSESSMENT
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, ABI/INFORM, Aqualine, Aquatic Science & Fisheries Abstracts (ASFA), BIOSIS, CAB Abstracts, Compendex, EMBASE, Environment Index, Food Science & Technology Abstracts, Geobase, Greenfile, MEDLINE, Pollution Abstracts, Public Affairs Index, Veterinary Science Database, Civil Engineering Abstracts
  • Anahtar Kelimeler: Competition index, Tree growth, Turkey, Marmara region, DIAMETER GROWTH-MODEL, DISTANCE-DEPENDENT COMPETITION, PREDICTING GROWTH, NORWAY SPRUCE, AGED STANDS, PINE, FORESTS, INDEXES, SIZE
  • İstanbul Üniversitesi-Cerrahpaşa Adresli: Evet

Özet

In this study, the basal area increment models were developed to be both age dependent and independent with a stepwise multiple regression analysis for coppice-originated pure sessile oak stands in the Marmara region, which is located in north-western Turkey. Data was obtained from a total of 73 sample trees, which were sampled from coppice-originated pure sessile oak stands over different growth periods and in different site conditions. The most suitable competition variable was determined by examining the correlations between the 24 competition index values and calculated using different approaches and the basal area increment. The individual tree basal area increment models were obtained as functions of tree size, competition, age, and site characteristics. The most important variables that affect the basal area increment in the age-dependent model were the diameter at breast height (DBH) (36.1%), competition index (26.4%), and age (10%). For the ageindependent model, the variables are the competition index (32.6%), DBH (30.3%), and the site index (3%), according to the relative importance values. The agedependent model explained the increased variation of 10% and predicted a 13% decrease in error in the basal area increment than the age-independent model.