Entandrophragma candollei Harms
Taxonomy
- Species:
- Entandrophragma candollei Harms
- Genus:
- Entandrophragma
- Family:
- Meliaceae
Common Names
Wood Density (g/cm3)
11 rows
| 0.68 | 0.6800 | The Wood Exchange | ||||
| 0.603 | 0.6030 | A.T.I.B.S. 1975. Nomenclature General des Bois Tropicaux. Nogent-sur-Marne, France. | Africa (tropical) | |||
| 0.53 | 0.5300 | Chudnoff, M., 1973. Physical, Mechanical, and other properties of Selected Secondary Species in Surinam, Peru, Colombia, Nigeria, Gabon, Philippines, and Malaysia. FPL-AID-PASA TA(AJ)2-73 (Species Properties). 77 pp. | Africa (tropical) | |||
| 0.59 | 0.5900 | Howard, L.A. 1951. A manual of the timbers of the world: their characteristics and uses. London, MacMillan. 751 pp. This data is in Reyes et al 1992. USDA report. | Africa (tropical) | |||
| 0.636 | 0.6360 | Kryn, J.M., and Fobes, E.W. 1959. The Woods of Liberia. Forest Products Laboratory Document No. 2159, Forest Service, U.S. Department of Agriculture. | Africa (tropical) | |||
| 0.554 | 0.5540 | Rijsdijk, J.F. and Laming, P.B. 1994. Physical and Related Properties of 145 Timbers. Kluwer Academic Publishers, Dordrecht, Netherlands, 380 pp. | Africa (tropical) | |||
| 0.515 | 0.5150 | Sallenave, P. 1955. Propriétés Physiques et Mécaniques des Bois. CTFT, Nogent sur Marne, France. | Africa (tropical) | |||
| 0.602 | 0.6020 | Sallenave, P. 1955. Propriétés Physiques et Mécaniques des Bois. CTFT, Nogent sur Marne, France. | Africa (tropical) | |||
| 0.667 | 0.6670 | Sallenave, P. 1955. Propriétés Physiques et Mécaniques des Bois. CTFT, Nogent sur Marne, France. | Africa (tropical) | |||
| 0.422 | 0.4220 | The Wood Exchange | Africa (tropical) | |||
| 0.621 | 0.6210 | Tree Talk. 2005. Woods of the World Pro CD. Springer-Verlag. | Africa (tropical) |
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Statistic Summary of Wood Density (g/cm³)
- N
- 11
- Mean
- 0.5836
- Median
- 0.6020
- Mode
- -
- Stdv
- 0.0746
- Variance
- 0.0056
- Range
- [0.422, 0.68]
- If the Moisture Content column is undefined, you may assume the value of 15%
- The statistic summary is based on data availability in the database, thus it may change upon the data collection updates