ABSTRACT
Sustainable forest management requires tools to guide optimal silvicultural treatments. Timing and intensity of thinnings and timing of final harvest are key decisions. An Optimized Reforestation Management (herein, an ORM) model was developed to reach the optimal combination of thinning times, thinning intensities and rotation periods for Ecuadorian forest plantations of Alnus acuminata, Kunth and Pinus patula Schltdl. & Cham. The ORM model uses non-linear programing to simultaneously optimize the number of trees to harvest in a certain period in order to maximize the plantations’ annualized net present values (annuities). Results obtained for optimal silvicultural interventions were compared to current management practices in Ecuador, one with no interventions, and a second with a treatment schedule promoted by the Ecuadorian Ministry of Agriculture. ORM model delivered better financial performance for both species, compared to both alternative scenarios, in terms of annuities and payback periods. Thinnings scheduled by ORM tend to be later than recommended by existing schedules. For Alnus, only one thinning was optimal, independent of the discount rate, while for Pinus two thinnings were optimal for higher levels of the discount rate considered. It is recommended for private and public actors to consider these findings for future management of reforestation areas.
Acknowledgments
The authors express their gratitude to Katharina Messerer and Fabian Härtl for their valuable comments to improve the manuscript and to SENESCYT and UTPL for their financial support.
Disclosure statement
No potential conflict of interest was reported by the author(s).
Notes
1 The term “forest transition” refers to a change in forest cover over a given area from a period of net forest area loss to a period of net gain (Zhai et al. Citation2017).
2 In economics, a subsistence farmer grows food crops to meet the needs of themselves and their families (Aliber and Hart Citation2009).
3 “A dynamic optimization model is a mathematical procedure for solving multi-period problems, where the values of the decision variables change over time” (Intriligator Citation2002).