Sokoine University of Agriculture

Effects of field plot size on prediction accuracy of aboveground biomass in airborne laser scanning-assisted inventories in tropical rain forests of Tanzania

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dc.contributor.author Mauya, Ernest William
dc.contributor.author Hansen, Endre Hofstad
dc.contributor.author Gobakken, Terje
dc.contributor.author Bollandsås, Ole Martin
dc.contributor.author Malimbwi, Rogers Ernest
dc.contributor.author Næsset, Erik
dc.date.accessioned 2017-01-19T15:44:12Z
dc.date.available 2017-01-19T15:44:12Z
dc.date.issued 2015
dc.identifier.uri http://www.suaire.sua.ac.tz/handle/123456789/1178
dc.description Mauyaetal.CarbonBalanceandManagement (2015) 10:10 DOI 10.1186/s13021-015-0021-x © 2015 Mauya et al.; licensee Springer. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. en_US
dc.description.abstract Background: Airborne laser scanning (ALS) has recently emerged as a promising tool to acquire auxiliary information for improving aboveground biomass (AGB) estimation in sample-based forest inventories. Under design-based and model-assisted inferential frameworks, the estimation relies on a model that relates the auxiliary ALS metrics to AGB estimated on ground plots. The size of the field plots has been identified as one source of model uncertainty because of the so-called boundary effects which increases with decreasing plot size. Recent re- search in tropical forests has aimed to quantify the boundary effects on model prediction accuracy, but evidence of the consequences for the final AGB estimates is lacking. In this study we analyzed the effect of field plot size on model prediction accuracy and its implication when used in a model-assisted inferential framework. Results: The results showed that the prediction accuracy of the model improved as the plot size increased. The adjusted R 2 increased from 0.35 to 0.74 while the relative root mean square error decreased from 63.6 to 29.2%. Indicators of boundary effects were identified and confirmed to have significant effects on the model residuals. Variance estimates of model-assisted mean AGB relative to corresponding variance estimates of pure field-based AGB, decreased with increasing plot size in the range from 200 to 3000 m 2 . The variance ratio of field-based esti- mates relative to model-assisted variance ranged from 1.7 to 7.7. Conclusions: This study showed that the relative improvement in precision of AGB estimation when increasing field-plot size, was greater for an ALS-assisted inventory compared to that of a pure field-based inventory. en_US
dc.language.iso en en_US
dc.publisher Springer en_US
dc.subject Airborne laser scanning en_US
dc.subject Model-assisted estimation en_US
dc.subject Plot size en_US
dc.subject Aboveground biomass en_US
dc.title Effects of field plot size on prediction accuracy of aboveground biomass in airborne laser scanning-assisted inventories in tropical rain forests of Tanzania en_US
dc.type Article en_US
dc.url https://cbmjournal.springeropen.com/articles/10.1186/s13021-015-0021- en_US


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