Factors associated with deforestation probability in Central Vietnam: a case study in Nam Dong and A Luoi districts

ABSTRACT

Vietnam is undergoing a forest transition stage with an overall increase in forest cover since the 1990s; however, deforestation and forest degradation of natural forests still occur in several areas, especially in the Central region of the country. In order to better manage and protect natural forests, predicting deforestation probability and understanding its associated factors are necessary. In the present study, we focused on the two mountainous districts (Nam Dong and A Luoi) in Central Vietnam as a case study. We used Landsat satellite images for identifying changes of natural forests over the period of 1989–2020. The logistic regression model showed a good performance in prediction of deforestation (testing AUC = 0.874) in the study area. Our data showed that deforestation probability of natural forests in the study area in the period of 1989–2020 could be influenced by 11 socio-economic and topographical factors. In particular, forest areas with low elevation, gentle slopes, nearby rivers and residential areas have a high deforestation probability. Production forest, forest areas not included in payment for environmental service (PFES) schemes, forest with no ownership and forest areas managed by private owners may also have a high deforestation probability. The total area of very high level of deforestation probability in A Luoi (8,988 ha) and Nam Dong (5,304 ha) districts occupied about 11.4% of natural forests in the study area. Our study suggests that protection activities should be focused on high deforestation probability-prone forest areas.

KEYWORDS:

• Deforestation probability
• Central Vietnam
• Nam Dong
• A Luoi
• forest transition

Acknowledgements

We would like to express our sincere thanks to the University of Agriculture and Forestry-Hue University, the Department of Ethnic Minorities, the Forest Protection and Development Fund, the Center for Agroforestry Planning and Design, Provincial FPD in Thua Thien Hue province for providing us with valuable data that we used in the study. We would like to thank the FTViet Project for giving us the opportunity to conduct the study.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Supplemental data

Supplemental data for this article can be accessed online at https://doi.org/10.1080/13416979.2023.2182259.

Additional information

Funding

This research was funded by the Swiss Programme for Research on Global Issues for Development (r4d program, 400940-194004) of the National Science Foundation.