Ecological Modelling as a Tool for Damages Reduction in Forest Ecosystems during Skidding
Journal Title: Journal of Research in Ecology - Year 2015, Vol 3, Issue 1
Abstract
Stand ecology can be affected during forest harves2ng. The aim of the present study was to determine poten2al area extent of stand damages on the forests based on stand monitoring data collected from 351 circle plots with the surface area of 314 m2 before the beginning of logging opera2ons. Slope percent, land form, roughness, forest type, stand density, extracted volume and extrac2on system were collected as predictor variables. Residual tree and regenera2on damage as response variables were measured during postharvest assessments too. In this context a geospa2ally explicit predic2ve model of stand damage was developed using LR and FR as an interface and collec2on of func2ons in R. Geospa2ally, stand damages in terms of residual tree and regenera2on map were depicted by GIS package, separately. According to success and predic2on rates, LR had the best performance model compared with FR in residual tree and regenera2on damage modelling. Based on the LR results slope, forest type, stand density, harvested volume and extrac2on system were the most effec2ve variables controlling stand damages. These models by local calibra2on are decision support tools to predict stand damages during ground-based harvest opera2ons on other forest lands.
Authors and Affiliations
Saeid Shabani, Akbar Najafi, Baris Majnonian, Jalil Alavi, Ali Sattarian
Keywords
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