Tree–grass phenology information improves light use efficiency modelling of gross primary productivity for an Australian tropical savanna

Moore, Caitlin E.; Beringer, Jason; Evans, Bradley; Hutley, Lindsay B.; Tapper, Nigel J.

doi:https://doi.org/10.5194/bg-14-111-2017

Articles | Volume 14, issue 1

https://doi.org/10.5194/bg-14-111-2017

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

Special issue:

OzFlux: a network for the study of ecosystem carbon and water...

https://doi.org/10.5194/bg-14-111-2017

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

Articles | Volume 14, issue 1

Research article

|

10 Jan 2017

Research article |

| 10 Jan 2017

Tree–grass phenology information improves light use efficiency modelling of gross primary productivity for an Australian tropical savanna

Caitlin E. Moore, Jason Beringer, Bradley Evans, Lindsay B. Hutley, and Nigel J. Tapper

Supplement

https://doi.org/10.5194/bg-14-111-2017-supplement

Data sets

Howard Springs OzFlux site flux data J. Beringer http://10.2.100.100/14234

Howard Springs Understory OzFlux site flux data J Beringer http://102.100.100/14240

OzFlux data CSIRO http://ozflux.org.au

Australian Phenocam Network Australian Phenocam Network https://phenocam.org.au

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Short summary

Separating tree and grass productivity dynamics in savanna ecosystems is vital for understanding how they function over time. We showed how tree-grass phenology information can improve model estimates of gross primary productivity in an Australian tropical savanna. Our findings will contribute towards improved modelling of productivity in savannas, which will assist with their management into the future.