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

Viewed

Total article views: 3,382 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,857 1,387 138 3,382 206 105 112
  • HTML: 1,857
  • PDF: 1,387
  • XML: 138
  • Total: 3,382
  • Supplement: 206
  • BibTeX: 105
  • EndNote: 112
Views and downloads (calculated since 30 May 2016)
Cumulative views and downloads (calculated since 30 May 2016)

Cited

Latest update: 23 Nov 2024
Download
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.
Altmetrics
Final-revised paper
Preprint