Quantifying regional, time-varying effects of cropland and pasture on vegetation fire

Rabin, S. S.; Magi, B. I.; Shevliakova, E.; Pacala, S. W.

doi:https://doi.org/10.5194/bg-12-6591-2015

Articles | Volume 12, issue 22

https://doi.org/10.5194/bg-12-6591-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/bg-12-6591-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 12, issue 22

Research article

|

19 Nov 2015

Research article |

| 19 Nov 2015

Quantifying regional, time-varying effects of cropland and pasture on vegetation fire

S. S. Rabin, B. I. Magi, E. Shevliakova, and S. W. Pacala

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Final revised paper (published on 19 Nov 2015)
Supplement to the final revised paper
Preprint (discussion started on 10 Jul 2015)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC C4064: 'Well presented. No major comments.', Anonymous Referee #1, 05 Aug 2015
- AC C6399: 'Response to Referee 1', Sam Rabin, 11 Oct 2015
RC C4724: 'referee comments Rabin et al.', Anonymous Referee #2, 26 Aug 2015
- AC C6402: 'Response to Referee 2', Sam Rabin, 11 Oct 2015

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

ED: Publish subject to minor revisions (Editor review) (11 Oct 2015) by Trevor Keenan

AR by Sam Rabin on behalf of the Authors (23 Oct 2015)

ED: Publish as is (05 Nov 2015) by Trevor Keenan

AR by Sam Rabin on behalf of the Authors (06 Nov 2015)

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Short summary

People worldwide use fire to manage agriculture, but often also suppress fire in the landscape surrounding their fields. Here, we estimate the net result of these effects of cropland and pasture on fire at a regional, monthly level. Pasture is shown, for the first time, to contribute strongly to global patterns of burning. Our results could be used to improve representations of burning in global vegetation and climate models, improving our understanding of how people affect the Earth system.