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Tropical forests post-logging are a persistent net carbon source to the atmosphere

Logged and structurally degraded tropical forests are fast becoming one of the most prevalent land-use types throughout the tropics and are routinely assumed to be a net carbon sink because they experience rapid rates of tree regrowth. Yet this assumption is based on forest biomass inventories that record carbon stock recovery but fail to account for the simultaneous losses of carbon from soil and necromass. Here, we used forest plots and an eddy covariance tower to quantify and partition net ecosystem CO 2 exchange in Malaysian Borneo, a region that is a hot spot for deforestation and forest degradation. Our data represent the complete carbon budget for tropical forests measured throughout a logging event and subsequent recovery and found that they constitute a substantial and persistent net carbon source. Consistent with existing literature, our study showed a significantly greater woody biomass gain across moderately and heavily logged forests compared with unlogged forests, but this was counteracted by much larger carbon losses from soil organic matter and deadwood in logged forests. We estimate an average carbon source of 1.75 ± 0.94 Mg C ha −1 yr −1 within moderately logged plots and 5.23 ± 1.23 Mg C ha − 1 yr − 1 in unsustainably logged and severely degraded plots, with emissions continuing at these rates for at least one-decade post-logging. Our data directly contradict the default assumption that recovering logged and degraded tropical forests are net carbon sinks, implying the amount of carbon being sequestered across the world’s tropical forests may be considerably lower than currently estimated.
- University of Leicester United Kingdom
- University of Oxford United Kingdom
- Pontifical Catholic University of Peru Peru
- University of Newcastle Australia Australia
- University of New England Australia
Carbon sequestration, Biomass (ecology), Supplementary Data, carbon dynamics, QH301 Biology, tropical ecology, Eddy covariance, 551, Estimation of Forest Biomass and Carbon Stocks, Carbon sink, logging, Soil, SDG 13 - Climate Action, Biomass, SDG 15 - Life on Land, Global and Planetary Change, Ecology, Geography, Logging, Forestry, Carbon cycle, Biological Sciences, Programming language, Sink (geography), Physical Sciences, Cartography, 577, Forest Carbon Sequestration, 333, Environmental science, QH301, carbon budget, Agroforestry, Tropical and subtropical moist broadleaf forests, Biology, Ecosystem, Nature and Landscape Conservation, Tropical Climate, Global Forest Drought Response and Climate Change, Atmosphere, Tropics, land use, Computer science, Carbon, Climate Change Impacts on Forest Carbon Sequestration, Subtropics, Deforestation (computer science), Carbon dioxide, FOS: Biological sciences, Environmental Science
Carbon sequestration, Biomass (ecology), Supplementary Data, carbon dynamics, QH301 Biology, tropical ecology, Eddy covariance, 551, Estimation of Forest Biomass and Carbon Stocks, Carbon sink, logging, Soil, SDG 13 - Climate Action, Biomass, SDG 15 - Life on Land, Global and Planetary Change, Ecology, Geography, Logging, Forestry, Carbon cycle, Biological Sciences, Programming language, Sink (geography), Physical Sciences, Cartography, 577, Forest Carbon Sequestration, 333, Environmental science, QH301, carbon budget, Agroforestry, Tropical and subtropical moist broadleaf forests, Biology, Ecosystem, Nature and Landscape Conservation, Tropical Climate, Global Forest Drought Response and Climate Change, Atmosphere, Tropics, land use, Computer science, Carbon, Climate Change Impacts on Forest Carbon Sequestration, Subtropics, Deforestation (computer science), Carbon dioxide, FOS: Biological sciences, Environmental Science
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).34 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 1%
