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Using photography to estimate above-ground biomass of small trees

Published online by Cambridge University Press:  23 September 2020

Brandon R. Hays ,
Corinna Riginos ,
Todd M. Palmer ,
Benard C. Gituku  and
Jacob R. Goheen
Brandon R. Hays*
Affiliation:
Department of Zoology and Physiology, University of Wyoming,Laramie, WY82071, USA
Corinna Riginos
Affiliation:
The Nature Conservancy, 258 Main Street, Lander, WY82520, USA
Todd M. Palmer
Affiliation:
Department of Biology, University of Florida,Gainesville, 32611Florida, USA
Benard C. Gituku
Affiliation:
Department of Land Resource Management & Agricultural Technology, University of Nairobi, P.O. Box 30197, Nairobi, Kenya Ol Pejeta Conservancy, 10400Nanyuki, Kenya
Jacob R. Goheen
Affiliation:
Department of Zoology and Physiology, University of Wyoming,Laramie, WY82071, USA
*
Author for correspondence: *Brandon R. Hays, Email: [email protected]
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Abstract

Quantifying tree biomass is an important research and management goal across many disciplines. For species that exhibit predictable relationships between structural metrics (e.g. diameter, height, crown breadth) and total weight, allometric calculations produce accurate estimates of above-ground biomass. However, such methods may be insufficient where inter-individual variation is large relative to individual biomass and is itself of interest (for example, variation due to herbivory). In an East African savanna bushland, we analysed photographs of small (<5 m) trees from perpendicular angles and fixed distances to estimate above-ground biomass. Pixel area of trees in photos and diameter were more strongly related to measured, above-ground biomass of destructively sampled trees than biomass estimated using a published allometric relation based on diameter alone (R2 = 0.86 versus R2 = 0.68). When tested on trees in herbivore-exclusion plots versus unfenced (open) plots, our predictive equation based on photos confirmed higher above-ground biomass in the exclusion plots than in unfenced (open) plots (P < 0.001), in contrast to no significant difference based on the allometric equation (P = 0.43). As such, our new technique based on photographs offers an accurate and cost-effective complement to existing methods for tree biomass estimation at small scales with potential application across a wide variety of settings.

Keywords

Acaciaherbivoryphotographic analysisremote sensingsavanna
Type
Research Article
Information
Journal of Tropical Ecology , Volume 36 , Issue 5 , September 2020 , pp. 213 - 219
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Copyright
© The Author(s), 2020. Published by Cambridge University Press

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