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The diversity status and sustainable uses of some Minor Forest Products in Ban Thung Soong Community Forest in Krabi Province were evaluated based on Important Value Index (IVI) analysis, utilizing method and quantitative ecological data based on local wisdom. The studies were found that at the highest level of 200-300 m altitude, the number of trees and total basal area was the highest than at level elevations of 0-100 m and 100-200 m from 12 stands (20x50 m²/stand). From IVI analysis, there were 65 species of plants found in Ban Thung Soong Community Forest (BTSCF). Analysis of IVI were found that the Xylia xylocarpa (Roxb.) Taub. var. kerrii (Craib & Hutch.) I.C.Nielsen shows the highest IVI with 22.37%. The highest percentage of relative density, relative frequencies and relative dominance were found in Homalium undulatum King with 7.50%, and 7.55% with Xylia xylocarpa (Roxb.) Taub. var. kerrii (Craib & Hutch.) I.C.Nielsen respectively. The numbers of species in BTSCF were 49+65 species ha^-1 and comprises of number of trees, saplings and seedlings ha^-1<...

Timor Mountain Gum (Eucalyptus urophylla S.T. Blake) is an important eucalypts species for pulp and chip wood production in Thailand because of its rapid growth and suitability for hybridization. The 16 year-old provenance trials compared 19 natural seed sources in four blocks replication from the islands of Timor, Flores, Alor, Lomblen, Wetar, and Pantar. Seeds were collected from selected plus trees of the provenance trials to establish F 1 progeny test which comprise of 80 half-sib families in 12 blocks replication. In both experiments there were significant differences of growth performances and morphological characteristics among seed sources. A lowland provenance from Mt. Lewotobi, Flores indicated best growth in both the provenance trials and progeny test. The experiments implied that individuals from the island of Timor and Flores were the best performing. Therefore, these should be considered in the next selection process for breeding strategy to optimize plantation productivity.