Assessment of the effects of the biotic and abiotic harmful factors on the amount of industrial wood production with deep learning

Abstract

The protection and sustainability of forest assets is possible with the planned production of forest products with minimum loss. Among the products obtained from forests, industrial wood is the most important raw material for many sectors. For this reason, it is important to determine the factors affecting the industrial wood production amount in order to obtain this raw material in the most e cient way. This article aims to investigate and assess the effects of two biotic and two abiotic harm factors on the amount of industrial wood production by building a deep learning estimation model. These factors are forest res, outbreaks of insects, outbreaks of diseases, and severe weather events. The study shows that the most harmful factor decreasing the industrial wood production level is outbreaks of diseases. The second effective factor, however, appears to be severe weather events. The third and the fourth factors were determined to be outbreaks of insects and burned forest areas, respectively.

Effectiveness of the Forest Pests and Diseases Control Methods on the Amount of Industrial Wood Production: A Deep Learning Analysis

“…The industrial wood production sector is particularly vulnerable to forest pests and diseases, as they can cause signi cant damage to timber resources and affect the economic viability of the industry. Sevinç (2023) reports that forest diseases are the most important harmful factor affecting the industrial wood production, while insect outbreaks are the third important one. Thus, effective control methods are essential to protect forests and ensure sustainable industrial wood production.…”