The effects of ground-based skidding on sapling vitality depending on thinning intensities und skidding technique


ÜNVER S., OKTAN E.

AUSTRIAN JOURNAL OF FOREST SCIENCE, cilt.141, sa.3, ss.195-214, 2024 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 141 Sayı: 3
  • Basım Tarihi: 2024
  • Doi Numarası: 10.53203/fs.2403.2
  • Dergi Adı: AUSTRIAN JOURNAL OF FOREST SCIENCE
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, CAB Abstracts
  • Sayfa Sayıları: ss.195-214
  • Karadeniz Teknik Üniversitesi Adresli: Evet

Özet

Minimizing the negative effects of harvesting activities on natural regeneration is important for sustainable forest management. Various studies have been conducted on the damages of harvesting activities on remaining stands to improve silvicultural management practices, including studies in T & uuml;rkiye considering thinning intensity. The aim of this study is to determine the effects of different skidding techniques on sapling vitality in thinned stands at different thinning intensities. The study was con-ducted in Scots pine (Pinus sylvestris L.) forests in northeastern T & uuml;rkiye, with similar ecological characteristics but different thinning intensities. The study was conducted in 18 sample plots with three thinning intensities (low, moderate, high), two skidding techniques (cable pulling and manual skidding) and three replications. After the har-vesting activities, the root collar diameters and heights of saplings were measured. The damage type of the damaged saplings and the survival classes of the saplings were determined. 26.0% of the saplings in the areas subject to manual skidding and 22.8% of the saplings in the areas suject to cable pulling were damaged. There was a statistically significant correlation between the thinning intensity and damage types (chi(2) = 60.401, df = 3, p < 0.05) and between the thinning intensity and sapling vitality (chi(2) = 18.873, df = 3, p < 0.05)