Articles | Volume 14, issue 1
https://doi.org/10.5194/bg-14-111-2017
https://doi.org/10.5194/bg-14-111-2017
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

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.
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