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Predicting soil carbon loss with warming
Citation
van Gestel, N and Shi, Z and van Groenigen, KJ and Osenberg, CW and Andresen, LC and Dukes, JS and Hovenden, MJ and Luo, Y and Michelsen, A and Pendall, E and Reich, PB and Schuur, EAG and Hungate, BA, Predicting soil carbon loss with warming, Nature, 554 pp. 104-108. ISSN 0028-0836 (2018) [Contribution to Refereed Journal]
Copyright Statement
Copyright 2018 Macmillan Publishers Limited, part of Springer Nature. All rights reserved.
Official URL: https://www.nature.com/articles/nature25745
Abstract
Crowther et al. reported that the best predictor of surface soil carbon (top 10 cm) losses in response to warming is the size of the surface carbon stock in the soil (that is, carbon stocks in plots that have not been warmed), finding that soils that are high in soil carbon also lose more carbon under warming conditions. This relationship was based on a linear regression of soil carbon losses and soil carbon stocks in field warming studies, which was then used to project carbon losses over time and to generate a map of soil carbon vulnerability. However, a few extreme data points (high-leverage points) can strongly influence the slope of a regression line. Only 5 of the 49 sites analysed by Crowther et al.1 are in the upper half of the carbon stock range, which raises the possibility that the relationship they observed could be substantially altered by introducing data from sites with relatively high surface soil carbon stocks. There is a Reply to this Comment by Crowther, T. W. et al. Nature 554, 10.1038/nature25746 (2018).
Item Details
Item Type: | Contribution to Refereed Journal |
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Keywords: | soil, carbon, warming, global warming, global change, climate change |
Research Division: | Biological Sciences |
Research Group: | Other biological sciences |
Research Field: | Global change biology |
Objective Division: | Expanding Knowledge |
Objective Group: | Expanding knowledge |
Objective Field: | Expanding knowledge in the environmental sciences |
UTAS Author: | Hovenden, MJ (Professor Mark Hovenden) |
ID Code: | 124608 |
Year Published: | 2018 |
Funding Support: | Australian Research Council (DP0984779) |
Web of Science® Times Cited: | 13 |
Deposited By: | Plant Science |
Deposited On: | 2018-02-28 |
Last Modified: | 2019-12-23 |
Downloads: | 0 |
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