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Investigating the accuracy of tropical woody stem CO2 efflux estimates: scaling methods, and vertical and diel variation.

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journal contribution
posted on 2025-04-14, 13:38 authored by Maria B Mills, Alexander Shenkin, Phil Wilkes, Mathias Disney, Susan PageSusan Page, Juan BerrioJuan Berrio, Jorg KadukJorg Kaduk, Yadvinder Malhi, Rolando Robert, Reuben Nilus, Terhi Riutta
Stem CO2 efflux (EA) significantly contributes to autotrophic and ecosystem respiration in tropical forests, but field methodologies often introduce biases and uncertainty. This study evaluates these biases and their impact on scaling EA at the stand-level. Diel and vertical patterns of EA were investigated, along with the accuracy of estimating stem surface area from allometric equations vs terrestrial light dection and ranging (LiDAR) scanning (TLS) in Maliau Basin Conservation Area, Sabah, Malaysian Borneo. Diel EA exhibited no uniform pattern due to inter-tree variability, but results suggest measuring EA before 15:00 h. EA was significantly higher on buttresses and above the first major branching point, but vertical variations in EA did not impact stand-level EA when stem surface area was accurately estimated. Allometric equations underestimated total stem surface area by c. 40% compared with TLS, but applying a site-specific correction factor yielded a similar stand-level EA and total stem surface area to TLS. This study provides guidance for measuring EA in the field and suggests that measuring at one time point and one height along the stem can produce accurate results if conducted using the correct time frame and if stem surface area is accurately estimated.

Funding

The Central England NERC Training Alliance 2 (CENTA2)

Natural Environment Research Council

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Royal Geographical Society Postgraduate Research Award through the Dudley Stamp Memorial Award (PRA 11.23)

European Cooperation in Science and Technology (COST) Short Term Scientific Mission (STSM) Grant (COST Action: CA20118

History

Author affiliation

College of Science & Engineering Geography, Geology & Environment

Version

  • VoR (Version of Record)

Published in

New Phytol

Publisher

New Phytologist Foundation

eissn

1469-8137

Copyright date

2025

Available date

2025-04-14

Spatial coverage

England

Language

eng

Deposited by

Professor Susan Page

Deposit date

2025-04-08

Data Access Statement

Dataset of diel and vertical stem CO 2 efflux is available at doi: 10.5281/zenodo.14408902 and data set of terrestrial LiDAR scans for MLA-01 is available at doi: 10. 5285/844bd5c5bc9940d6b04cd35bd9c8b956.