A simple field based method for rapid wood density estimation for selected tree species in Western Kenya
Wood density is an important variable for accurate quantification of woody biomass and carbon stocks. Conventional destructive methods for wood density estimation are resource intensive, prohibiting their use, limiting the application of approaches that would minimize uncertainties in tree biomass e...
| Main Authors: | , , , , |
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| Format: | Journal Article |
| Language: | Inglés |
| Published: |
Elsevier
2019
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/106476 |
| _version_ | 1855532394292969472 |
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| author | Olale, Kennedy O. Yenesew, Abiy Jamnadass, Ramni H. Sila, Andrew M. Shepherd, Keith D. |
| author_browse | Jamnadass, Ramni H. Olale, Kennedy O. Shepherd, Keith D. Sila, Andrew M. Yenesew, Abiy |
| author_facet | Olale, Kennedy O. Yenesew, Abiy Jamnadass, Ramni H. Sila, Andrew M. Shepherd, Keith D. |
| author_sort | Olale, Kennedy O. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Wood density is an important variable for accurate quantification of woody biomass and carbon stocks. Conventional destructive methods for wood density estimation are resource intensive, prohibiting their use, limiting the application of approaches that would minimize uncertainties in tree biomass estimates. We tested an alternative method involving tree coring with a carpenter's auger to estimate wood density of seven tropical tree species in Western Kenya. We used conventional water immersion method to validate results from the auger core method. The mean densities (and 95% confidence intervals) ranged from 0.36 g cm−3 (0.25–0.47) to 0.67 g cm−3 (0.61–0.73) for the auger core method, and 0.46 g cm−3 (0.42–0.50) to 0.67 g cm−3 (0.61–0.73) for the water immersion method. The auger core and water immersion methods were not significantly different for four out of seven tree species namely; Acacia mearnsii, Mangifera indica, Eucalyptus grandis and Grevillea robusta. However, wood densities estimated from the auger core method were lower (t (61) = 7.992, P = <0.001). The ease of the auger core method application, as a non-destructive method in acquiring wood density data, is a worthy alternative in biomass and carbon stocks quantification. This method could protect trees outside forests found in most parts of Africa. |
| format | Journal Article |
| id | CGSpace106476 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2019 |
| publishDateRange | 2019 |
| publishDateSort | 2019 |
| publisher | Elsevier |
| publisherStr | Elsevier |
| record_format | dspace |
| spelling | CGSpace1064762024-05-01T08:18:29Z A simple field based method for rapid wood density estimation for selected tree species in Western Kenya Olale, Kennedy O. Yenesew, Abiy Jamnadass, Ramni H. Sila, Andrew M. Shepherd, Keith D. forest resources wood density augers Wood density is an important variable for accurate quantification of woody biomass and carbon stocks. Conventional destructive methods for wood density estimation are resource intensive, prohibiting their use, limiting the application of approaches that would minimize uncertainties in tree biomass estimates. We tested an alternative method involving tree coring with a carpenter's auger to estimate wood density of seven tropical tree species in Western Kenya. We used conventional water immersion method to validate results from the auger core method. The mean densities (and 95% confidence intervals) ranged from 0.36 g cm−3 (0.25–0.47) to 0.67 g cm−3 (0.61–0.73) for the auger core method, and 0.46 g cm−3 (0.42–0.50) to 0.67 g cm−3 (0.61–0.73) for the water immersion method. The auger core and water immersion methods were not significantly different for four out of seven tree species namely; Acacia mearnsii, Mangifera indica, Eucalyptus grandis and Grevillea robusta. However, wood densities estimated from the auger core method were lower (t (61) = 7.992, P = <0.001). The ease of the auger core method application, as a non-destructive method in acquiring wood density data, is a worthy alternative in biomass and carbon stocks quantification. This method could protect trees outside forests found in most parts of Africa. 2019-09 2020-01-09T10:08:26Z 2020-01-09T10:08:26Z Journal Article https://hdl.handle.net/10568/106476 en Open Access application/pdf Elsevier Olale, Kennedy; Yenesew, Abiy; Jamnadass, Ramni; Sila, Andrew; Shepherd, Keith. 2019. A simple field based method for rapid wood density estimation for selected tree species in Western Kenya. Scientific African. 7p. DOI: https://doi.org/10.1016/j.sciaf.2019.e00149 |
| spellingShingle | forest resources wood density augers Olale, Kennedy O. Yenesew, Abiy Jamnadass, Ramni H. Sila, Andrew M. Shepherd, Keith D. A simple field based method for rapid wood density estimation for selected tree species in Western Kenya |
| title | A simple field based method for rapid wood density estimation for selected tree species in Western Kenya |
| title_full | A simple field based method for rapid wood density estimation for selected tree species in Western Kenya |
| title_fullStr | A simple field based method for rapid wood density estimation for selected tree species in Western Kenya |
| title_full_unstemmed | A simple field based method for rapid wood density estimation for selected tree species in Western Kenya |
| title_short | A simple field based method for rapid wood density estimation for selected tree species in Western Kenya |
| title_sort | simple field based method for rapid wood density estimation for selected tree species in western kenya |
| topic | forest resources wood density augers |
| url | https://hdl.handle.net/10568/106476 |
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