Skip to main content
U.S. Department of Energy
Office of Scientific and Technical Information

Widespread underestimation of rain-induced soil carbon emissions from global drylands

Journal Article · · Nature Geoscience

Dryland carbon fluxes, particularly those driven by ecosystem respiration, are highly sensitive to water availability and rain pulses. However, the magnitude of rain-induced carbon emissions remains unclear globally. Here we quantify the impact of rain-pulse events on the carbon balance of global drylands and characterize their spatiotemporal controls. Using eddy-covariance observations of carbon, water and energy fluxes from 34 dryland sites worldwide, we produce an inventory of over 1,800 manually identified rain-induced CO2 pulse events. Based on this inventory, a machine learning algorithm is developed to automatically detect rain-induced CO2 pulse events. Our findings show that existing partitioning methods underestimate ecosystem respiration and photosynthesis by up to 30% during rain-pulse events, which annually contribute 16.9 ± 2.8% of ecosystem respiration and 9.6 ± 2.2% of net ecosystem productivity. We show that the carbon loss intensity correlates most strongly with annual productivity, aridity and soil pH. Finally, we identify a universal decay rate of rain-induced CO2 pulses and use it to bias-correct respiration estimates. Our research highlights the importance of rain-induced carbon emissions for the carbon balance of global drylands and suggests that ecosystem models may largely underrepresent the influence of rain pulses on the carbon cycle of drylands.

Research Organization:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
Sponsoring Organization:
US Department of Energy; USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23), Climate and Environmental Sciences Division (SC-23.1 )
Grant/Contract Number:
AC02-05CH11231
OSTI ID:
2587933
Journal Information:
Nature Geoscience, Journal Name: Nature Geoscience Journal Issue: 9 Vol. 18
Country of Publication:
United States
Language:
English

Similar Records

Accelerated dryland expansion regulates future variability in dryland gross primary production
Journal Article · Fri Apr 03 00:00:00 EDT 2020 · Nature Communications · OSTI ID:1615347

Optimizing Carbon Cycle Parameters Drastically Improves Terrestrial Biosphere Model Underestimates of Dryland Mean Net CO2 Flux and its Inter-Annual Variability
Journal Article · Wed Oct 06 00:00:00 EDT 2021 · Journal of Geophysical Research. Biogeosciences · OSTI ID:1978552

Dynamic global vegetation models underestimate net CO2 flux mean and inter-annual variability in dryland ecosystems
Journal Article · Tue Aug 24 00:00:00 EDT 2021 · Environmental Research Letters · OSTI ID:1840149

Related Subjects