On the evidence of a trend in the CO2 airborne fraction

In their recent publication, van Marle et al.5 introduce a new dataset for land use and land cover change CO2 emissions (LULCC), and from a Monte Carlo simulation analysis of these data, the authors conclude that there is a negative trend in the AF. To carry out hypothesis testing using a Monte Carl...

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Veröffentlicht in:Nature (London) 2023-04, Vol.616 (7956), p.E1-E3
Hauptverfasser: Bennedsen, Mikkel, Hillebrand, Eric, Koopman, Siem Jan
Format: Artikel
Sprache:eng
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Zusammenfassung:In their recent publication, van Marle et al.5 introduce a new dataset for land use and land cover change CO2 emissions (LULCC), and from a Monte Carlo simulation analysis of these data, the authors conclude that there is a negative trend in the AF. To carry out hypothesis testing using a Monte Carlo approach, the data-generating process is simulated under the null hypothesis (no trend), and the test statistic is calculated for a large number of simulated trajectories. [...]the frequency of detected trends in the design of van Marle et al. cannot be interpreted as a probability under either hypothesis. Online content Any methods, additional references, Nature Portfolio reporting summaries, source data, extended data, supplementary information, acknowledgements, peer review information; details of author contributions and competing interests; and statements of data and code availability are available at https://doi.org/10.1038/s41586-023-05871-6.
ISSN:0028-0836
1476-4687
DOI:10.1038/s41586-023-05871-6