Ideas and perspectives: how coupled is the vegetation to the boundary layer?

De Kauwe, Martin G.; Medlyn, Belinda E.; Knauer, Jürgen; Williams, Christopher A.

doi:https://doi.org/10.5194/bg-14-4435-2017

Articles | Volume 14, issue 19

https://doi.org/10.5194/bg-14-4435-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/bg-14-4435-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 14, issue 19

Ideas and perspectives

|

09 Oct 2017

Ideas and perspectives |

| 09 Oct 2017

Ideas and perspectives: how coupled is the vegetation to the boundary layer?

Martin G. De Kauwe, Belinda E. Medlyn, Jürgen Knauer, and Christopher A. Williams

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Final revised paper (published on 09 Oct 2017)
Preprint (discussion started on 17 May 2017)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Creative use of FLUXNET2015 data to investigate an underappreciated model parameter', Anonymous Referee #1, 04 Jun 2017
- AC1: 'Response to reviewer 1', Martin De Kauwe, 08 Jun 2017
RC2: 'Investigating vegetation-atmosphere coupling using the FLUXNET dataset', Anonymous Referee #2, 06 Jul 2017
- AC2: 'Response to reviewer 2', Martin De Kauwe, 20 Jul 2017

Peer-review completion

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

ED: Reconsider after major revisions (09 Aug 2017) by David Bowling

AR by Martin De Kauwe on behalf of the Authors (01 Sep 2017) Author's response Manuscript

ED: Publish as is (06 Sep 2017) by David Bowling

AR by Martin De Kauwe on behalf of the Authors (07 Sep 2017) Author's response Manuscript

Short summary

Understanding the sensitivity of transpiration to stomatal conductance is critical to simulating the water cycle. This sensitivity is a function of the degree of coupling between the vegetation and the atmosphere. We combined an extensive literature summary with estimates of coupling derived from FLUXNET data. We found notable departures from the values previously reported. These data form a model benchmarking metric to test existing coupling assumptions.