Tree Densities and Prediction Models for Plantations and Reforestation-abandoned Sites after Clear Cutting in Kyushu Island, Japan.

Saito S., Inoue N., Noda R., Yamada Y., Saho K., Takamiya T., Yokoo K., Kominami Y., Nagamatsu D., Sato T., Kajimoto T.

doi:10.4005/jjfs.88.482

We analyzed the species and densities of established tree with height≥1.3m in 59 conifer plantations and 41 reforestation-abandoned sites after clear cutting (i.e. clear-cut sites) on Kyushu Island. Natural or secondary broad-leaved forests (i.e. broad-leaved forests, n=17) were also investigated for the purpose of comparison. Based on these field data, we developed prediction models for tree establishment. Mean densities of trees established in both plantations and clear-cut sites were lower than in broad-leaved forests, especially for species dominating the canopy layer of natural forests, such as Fagaceae. The coefficients of determination of the prediction models were larger for a group of pioneer tree species than for all pooled species in both plantations and clear-cut sites. Major factors affecting tree establishment were different between the plantations (slope inclination) and the clear-cut sites (altitude and slope direction), although stand age (including years after clear-cutting) affected tree establishment most in both sites. Basic site information (e.g. altitude) and stand description data (e.g. stand age) were useful for the prediction. The accuracy of the prediction model was improved by grouping tree species with similar growth and/or regeneration characteristics.

Tree Densities and Prediction Models for Plantations and Reforestation-abandoned Sites after Clear Cutting in Kyushu Island, Japan.

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