Estimating plant biomass in early‐successional subtropical vegetation using a visual obstruction technique

AIM: Non‐destructive methods for quantifying above‐ground plant biomass are important tools in many ecological studies and management endeavours, but estimation methods can be labour intensive and particularly difficult in structurally diverse vegetation types. We aimed to develop a low‐cost, but re...

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Bibliographic Details
Published in:Applied vegetation science 2014-04, Vol.17 (2), p.356-366
Main Authors: Fleming, Genie M, Wunderle, Joseph M., Jr, Ewert, David N, O'Brien, Joseph J, Rocchini, Duccio
Format: Article
Language:English
Subjects:
Above-ground plant biomass
Aboveground biomass
Animal, plant and microbial ecology
Applied ecology
Bahamian coppice
Biological and medical sciences
Biomass
Calibration
Coppicing
Error rates
Estimation methods
Fundamental and applied biological sciences. Psychology
grasslands
labor
Plants
prediction
Regression analysis
Robel pole
shrublands
shrubs
Structurally diverse vegetation
Subtropical shrubland
Vegetation
Vegetation structure
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Summary:AIM: Non‐destructive methods for quantifying above‐ground plant biomass are important tools in many ecological studies and management endeavours, but estimation methods can be labour intensive and particularly difficult in structurally diverse vegetation types. We aimed to develop a low‐cost, but reasonably accurate, estimation technique within early‐successional Bahamian broadleaf shrub vegetation. LOCATION: Eleuthera, The Bahamas. METHODS: Our biomass estimation technique was based on a visual obstruction method originally developed for use in grassland vegetation, but modified to suit our mixed vegetation structure. Visual obstruction measures were recorded for a total of 90 0.25‐m² quadrats from which all standing vegetation was subsequently collected, dried and weighed. Regression models were then developed to predict vegetation dry weight (biomass) from visual obstruction. RESULTS: The field time and equipment costs required to obtain our visual obstruction measures were low, and the accuracy of our above‐ground plant biomass predictions was on par with that reported for other estimation techniques. Should increased accuracy or additional structural information be desired, our basic technique can be enhanced by adding other easily obtained measures (e.g. woody stem circumference). CONCLUSIONS: Our low‐cost technique yields reasonably accurate estimates of above‐ground plant biomass and should be transferable to any shrubland vegetation type where the maximum height of vegetation is typically below 2 m.
ISSN:1402-2001
1654-109X
DOI:10.1111/avsc.12067