Mixed-species forests form a substantial part of both the boreal and temperate forests. The importance of species diversity relies on the enhancement of forest resilience to disturbances, such as drought, and the increase of carbon storage. It becomes essential to develop an economic understanding of managing mixed-species stands forests. 
 
Optimal forest management techniques require advanced models including both forest representation and available operations. They describe ecological species interactions with optimal species combinations, detailed harvesting including optimal timing and thinning type or optimization between continuous cover and rotation forestry. Such an optimization scope of harvesting a mixed-species forest is computationally complex.

Thanks to the robustness and reliability of Artelys Knitro, the resulting nonlinear problems can be solved efficiently enabling researchers to better understand the management of natural resources and populations in forestry.