An Assessment of the Influence of Forest Management Agreements, Log Production, Provincial Income Class, And Slope on Philippine Forest Change From 2000 To 2021

Abstract

This study discusses the impact of four variables on stable forests, forest loss, forest gain, and forest disturbance. It used multiple regression analysis to predict the forest change based on (1) the land area covered by Integrated Forest Management Agreements in 2010, (2) log production in 2010, (3) provincial income class, and (4) the share of land area over 18 percent slope. The results showed that only two variables, provincial income class and share of land area over an 18 percent slope, significantly impacted the prediction of stable forests. Additionally, only one variable significantly impacted the prediction of forest loss, and only one variable impacted the prediction of forest gain. Two variables significantly impacted the prediction of forest disturbance. Overall, the study provides insights into the factors that affect forest change in the Philippines and the importance of considering multiple variables when analyzing the impact of human activities on forests. The findings can inform policymakers and stakeholders in deciding on forest management and conservation in the country.