Sustainable forest management from education and community participation

Abstract

The objective of the study is to design a probabilistic model to estimate the perception of participatory forest management in the Livestock and Agricultural Association EP-15 of La Cruceta, Piura. Inadequate forest management in rural communities leads to the degradation of natural resources; therefore, studies are conducted to promote education and community participation as strategies for sustainable management. The study design is non-experimental, descriptive, causal, with a quantitative approach. A questionnaire validated according to Cronbach's Alpha was used as an instrument, structured in three categories: a) Use of forest resources, b) Satisfaction with participatory management in the use of forests, and c) Benefits of participatory forest management. The socio-demographic characteristics of the respondents show high female participation, a predominance of adults, basic education (completed secondary school), and medium-low income. Households are moderate, reflecting a rural community with limited income and active female participation in agriculture. In conclusion, the design of the logistic regression model is significant, suggesting that gender, education, and income are the main predictors of participatory forest management. The data are crucial for identifying factors affecting the perception of forest management, guiding integrative strategies that balance local development and environmental conservation.