Investigating the accuracy of tropical woody stem <scp> CO <sub>2</sub> </scp> efflux estimates: scaling methods, and vertical and diel variation

Stem CO<sub>2</sub> 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.

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Publication Details

Journal
New Phytologist
Published
2025-04-03
DOI
https://doi.org/10.1111/nph.70122
Citations
4
Primary Topic
Forest ecology and management
Type
article
Field-Weighted Citation Impact
9.25

Funders

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article

Investigating the accuracy of tropical woody stem CO 2 efflux estimates: scaling methods, and vertical and diel variation

Maria Mills, Yadvinder Singh Malhi, Mathias Disney, Alexander Shenkin et al.
4 citations
New Phytologist
Forest ecology and management
9.25
article

Investigating the accuracy of tropical woody stem CO 2 efflux estimates: scaling methods, and vertical and diel variation

Maria Mills, Yadvinder Singh Malhi, Mathias Disney, Alexander Shenkin, Susan Page, Phil Wilkes, Terhi Riutta, Rolando Robert, Juan Carlos Berrío, Jörg Kaduk, Reuben Nilus
article en
4 citations

Abstract

Stem CO<sub>2</sub> 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.

New PhytologistVol. 246(5)
East Sussex County Council (GB), University of Leicester (GB), Northern Arizona University (US), University of Oxford (GB), UK Centre for Ecology & Hydrology (GB), National Centre for Earth Observation (GB), Sabah Forestry Department (MY), University College London (GB), Imperial College London (GB)
Royal Geographical Society, University of Leicester, European Cooperation in Science and Technology, Natural Environment Research Council, National Centre for Earth Observation
Life in Land
Openalex Percentile: Top 2%
Forest ecology and management
9.25
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