Modelling above-ground carbon dynamics using multi-temporal airborne lidar:  insights from a Mediterranean woodland

Simonson, W.; Ruiz-Benito, P.; Valladares, F.; Coomes, D.

doi:https://doi.org/10.5194/bg-13-961-2016

Articles | Volume 13, issue 4

https://doi.org/10.5194/bg-13-961-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/bg-13-961-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 13, issue 4

Research article

|

19 Feb 2016

Research article |

| 19 Feb 2016

Modelling above-ground carbon dynamics using multi-temporal airborne lidar: insights from a Mediterranean woodland

W. Simonson, P. Ruiz-Benito, F. Valladares, and D. Coomes

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Final revised paper (published on 19 Feb 2016)
Preprint (discussion started on 07 Sep 2015)

Interactive discussion

Status: closed

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

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RC C6273: 'Simonson et al. - RC comments', Anonymous Referee #1, 07 Oct 2015
- RC C6522: 'I do not know what you mean by 'subject'.', Anonymous Referee #2, 15 Oct 2015
AC C7851: 'Authors' responses to referees' comments', William Simonson, 21 Nov 2015

Peer-review completion

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

ED: Publish subject to minor revisions (Editor review) (09 Dec 2015) by Ulrike Seibt

AR by William Simonson on behalf of the Authors (11 Dec 2015) Author's response Manuscript

ED: Publish as is (22 Jan 2016) by Ulrike Seibt

AR by William Simonson on behalf of the Authors (29 Jan 2016)

Short summary

Repeat-survey airborne laser scanning is used to build a simulation model of vegetation carbon dynamics in a Spanish woodland. Analyses of National Forest Inventory and tree-ring data are used to validate the woodland growth estimates. An average carbon sequestration rate of 1.95 Mg C/ha/year over a 100-year period is predicted, but this is highly sensitive to fire frequency. The study contributes to the important need to monitor large-scale carbon dynamics in the age of climate change.