Total tree, merchantable stem and branch volume models for miombo woodlands of Malawi
The objective of this study was to develop general (multispecies) models for prediction of total tree, merchantable stem and branch volume including options with diameter at breast height (dbh) only, and with both dbh and total tree height (ht), as independent variables. The modelling data set was b...
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Published in | Southern forests Vol. 78; no. 1; pp. 41 - 51 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Menlo Park
Taylor & Francis
02.01.2016
Taylor & Francis Ltd |
Subjects | |
Online Access | Get full text |
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Summary: | The objective of this study was to develop general (multispecies) models for prediction of total tree, merchantable stem and branch volume including options with diameter at breast height (dbh) only, and with both dbh and total tree height (ht), as independent variables. The modelling data set was based on destructively sampled trees and comprised 74 trees from 33 tree species, collected from four forest reserves located in different ecological zones of Malawi. The dbh and ht ranges for the data set were 5.3–111.2 cm and 3.0–25.0 m, respectively. A number of alternative model forms were tested and the final model selection was based on root mean square error (RMSE) values calculated using a leave-one-out cross-validation procedure. The model performances and the evaluations of the finally selected models (R 2 range 0.72 to 0.92; RMSE range 38% to 71%; mean prediction errors range −1.4% to 1.3%) suggest that all models can be used over a wide range of geographical and ecological conditions in Malawi with an appropriate accuracy in predictions. The appropriateness of the developed models was also supported by the fact that the mean prediction errors of these models were much lower than the mean prediction errors (range −23.6% to 48.9%) of some previously developed models tested on our data. |
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Bibliography: | http://dx.doi.org/10.2989/20702620.2015.1108615 ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 2070-2639 2070-2620 2070-2639 |
DOI: | 10.2989/20702620.2015.1108615 |