Projection Matrix Models: A Suitable Approach for Predicting Sustainable Growth in Uneven-Aged and Mixed Hyrcanian Forests

The Hyrcanian forests of Iran are mainly managed with the single-selection silvicultural technique. Despite significant ecological benefits associated selection cutting, this type forest management leads towards more challenging situations where it is difficult to maintain and practice successful forestry than in even-aged systems. Therefore, study provides relevant tools form models estimate low growth levels forests. In present study, estimation population rate then allowable cut these using a matrix model have been calculated Gorazbon district. For purpose, data 256 permanent sample plots measured during years between 2003 2012, as well recorded about trees harvested according plan, used. As first step, most frequently occurring tree species were divided into four groups (beech, hornbeam, chestnut-leaved oak, other species). Compartments district two logged unlogged compartments. purpose division was compare its volume volumes observed predicted cuts obtained from plans. results showed that total operated (OAC) compartments estimated (EAC). compartments, (PAC) EAC. A comparison EAC OAC hornbeam has potential. However, oak group depicted opposite trends. Our provide important advancements for estimating can enhance goal practicing sustainable forestry.