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Ing. Martin Svátek, Ph.D.
Identification number: 9868
University e-mail: martin.svatek [at] mendelu.cz
 
Researcher - Department of Forest Botany, Dendrology and Geobiocoenology (FFWT)
Assistant Professor - Department of Forest Botany, Dendrology and Geobiocoenology (FFWT)

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Basic information

Basic information about a final thesis

Type of thesis: Bachelor thesis
Thesis title: Methods for estimating aboveground biomass of tropical forest and their applications within the SAFE project in Borneo (Sabah, Malaysia)
Written by (author): Ing. Jiří Volánek
Department: Department of Forest Botany, Dendrology and Geobiocoenology (FFWT)
Thesis supervisor: Ing. Martin Svátek, Ph.D.
Opponent:Ing. Antonín Martiník, Ph.D.
Final thesis progress:Final thesis was successfully defended.


Additional information

Additional information about the final thesis follows. Click on the language link to display the information in the desired language.

Language of final thesis:English

Czech        English

Title of the thesis:Methods for estimating aboveground biomass of tropical forest and their applications within the SAFE project in Borneo (Sabah, Malaysia)
Summary:Traditional non-destructive practices of aboveground biomass (AGB) estimation of tropical forest are reviewed in this thesis. Suitable published allometric methods are explained and applied to data collected in-situ on 24 SAFE Project plots in Borneo with particular attention being paid to small stem diameter trees (< 10 cm diameter at breast height). The AGB of logged-over secondary plots is estimated through the use of eight different allometric equations including pantropic, site-specific and small stem diameter suitable models. Resulting values of AGB estimation are reviewed and the performance of chosen allometric models compared to assigned plot quality score. Results show that the difference in AGB estimation is sizeable and considerably varies amongst and within plots. Also, that certain pantropic models may overestimate the AGB of the SAFE Project census plots. The error created by omitting trees with DBH < 10 cm, as established census protocols do, is far from insignificant and can produce underestimations in the range of 2.25 to 40.76%.
Key words:Aboveground biomass, Secondary forest, Allometric equations

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