In order to define the forest resources quality of each subcompartment, and provide scientific basis for the forest farm to take reasonable forest management measures, an indicator system of forest resources quality evaluation was built in this study whic
Abstract:In order to define the forest resources quality of each subcompartment, and provide scientific basis for the forest farm to take reasonable forest management measures, an indicator system of forest resources quality evaluation was built in this study which based on the subcompartment investigations, previous research results and expert advices, also, the easy used evaluation method with the attributes of easy use and close to the production practice was put forwarded. This indicator system was composed of three aspects, the naturality of forest, the maintenance ability of forest productivity, and the integrity and stability of forest community structure, which included 15 evaluation indicators, such as the origin of stand, the age group, and the stand density.
Analytic hierarchy process and experts consultation method were used to define the weight value of each indicator, and the Golden Section theory was also introduced, combined with the expert advice and related standards, the evaluation level and score of each indicator was defined. The status and classes of forest resources quality in the whole forest farm was evaluated based on the results of each subcompartment. In this study, the No.301 and No. 303 forest farm in the Western Sichuan Forestry Bureau were used as a case study. The results indicated that the ratio of the first class subcompartments in the NO.301 forest farm was 45.65%, and the second and the third class subcompartments was 53.52% and 0.83% respectively, the score of forest resources quality was 0.59 which ranked as the second class, classified as general; in the NO.303 forest farm, the ratio of the first, the second and the third class subcompartments was 64.80%, 32.35% and 285% respectively, and the score of forest resources quality was 0.63 which ranked as the first class, defined as good. According to the related research and the actual situation of the studied area, this evaluation method can objectively reflect the real situation of forest resources quality, and it also suitable to be used in other forest regions. At last, the advantages and disadvantages of this evaluation method were discussed.