Analysis of factors associated with the amount of forest road reconstruction activity in Turkey: Autoregressive distributed lag modelling approach

AKAY A. O., AKGÜL M., DEMİR M., ACAR H. H.

Forest Ecology and Management, cilt.458, 2020 (SCI-Expanded) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 458
  • Basım Tarihi: 2020
  • Doi Numarası: 10.1016/j.foreco.2019.117800
  • Dergi Adı: Forest Ecology and Management
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, PASCAL, Aerospace Database, Artic & Antarctic Regions, BIOSIS, CAB Abstracts, Communication Abstracts, Compendex, Environment Index, Geobase, Greenfile, Metadex, Veterinary Science Database, Civil Engineering Abstracts
  • Anahtar Kelimeler: Forest road, Road maintenance, Timber harvesting, Time series analysis
  • İstanbul Yeni Yüzyıl Üniversitesi Adresli: Evet

Özet

Forest roads are one of the most essential structures for the continuity of timber harvesting operations. To ensure continuity, forest roads must be open and stable during all seasons. The purpose of this study is to determine the relationships between the amount of forest road reconstruction (FRR) and the factors associated with it. These include average precipitation (AP) amount, timber harvesting (ındustrial wood) (TH) amount and forest road repair and maintenance (FRREM) amount. Also, study aims to test appropriate statistic models for forest road planning and management. In this study, an autoregressive distributed lag (ARDL) model, which is a time series analysis method, is used. Results from the ARDL model demonstrate that an increase in the amount of TH and AP in the long-run relationship negatively affected FRR amounts. In the short-run relationship, the TH and AP variables negatively affected the FRR variable, whereas the FRREM variable positively affected the FRR variable. Granger causality test results show that in the short run there was a one-way causality from FRREM to FRR. Also, for the Granger causality test in the long run, there was causality from other variables to FRREM. This demonstrates that timber harvesting amounts and changes in precipitation amounts due to climate change should be considered when determining road reconstruction activities. In addition, this work will enable forest road managers to make effective and accurate FRR budget planning decisions.