Affiliations 

  • 1 School of Geography, Geology and the Environment, University of Leicester, Leicester, LE1 7RH, UK
  • 2 School of Environmental and Rural Science, University of New England, Armidale, NSW, 2351, Australia
  • 3 Faculty of Forestry and Wood Sciences, Czech University of Life Sciences, Prague, 165 00, Czech Republic
  • 4 School of Geography and the Environment, Environmental Change Institute, University of Oxford, Oxford, OX1 3QY, UK
  • 5 Instituto de Ciencias de la Naturaleza, Territorio y Energías Renovables, Pontificia Universidad Católica del Peru, Lima, 15088, Peru
  • 6 Universidad Nacional de San Antonio Abad del Cusco, Cusco, 08003, Peru
  • 7 School of Biological Sciences, University of Aberdeen, Aberdeen, AB24 3UU, UK
  • 8 University Malaysia Sabah, Kota Kinabalu, 88400, Malaysia
  • 9 Department of Life Science, Imperial College London, London, SL5 7PY, UK
  • 10 Sabah Forestry Department, Forest Research Centre, Sandakan, Sabah, 90715, Malaysia
  • 11 School of Natural and Environmental Sciences, Newcastle University, Newcastle, NE1 4LB, UK
New Phytol, 2024 Aug 15.
PMID: 39148398 DOI: 10.1111/nph.20043

Abstract

Stem respiration constitutes a substantial proportion of autotrophic respiration in forested ecosystems, but its drivers across different spatial scales and land-use gradients remain poorly understood. This study quantifies and examines the impact of logging disturbance on stem CO2 efflux (EA) in Malaysian Borneo. EA was quantified at tree- and stand-level in nine 1-ha plots over a logging gradient from heavily logged to old-growth using the static chamber method. Tree-level results showed higher EA per unit stem area in logged vs old-growth plots (37.0 ± 1.1 vs 26.92 ± 1.14 g C m-2 month-1). However, at stand-level, there was no difference in EA between logged and old-growth plots (6.7 ± 1.1 vs 6.0 ± 0.7 Mg C ha-1 yr-1) due to greater stem surface area in old-growth plots. Allocation to growth respiration and carbon use efficiency was significantly higher in logged plots. Variation in EA at both tree- and stand-level was driven by tree size, growth and differences in investment strategies between the forest types. These results reflect different resource allocation strategies and priorities, with a priority for growth in response to increased light availability in logged plots, while old-growth plots prioritise maintenance and cell structure.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.