Published January 24, 2018 | Version v1
Dataset Open

fLUE

Authors/Creators

  • 1. CREAF, Barcelona

Contributors

  • 1. ETH Zürich
  • 2. Lawrence Berkeley National Lab,
  • 3. Imperial College London
  • 4. CREAF, Barcelona

Description

This dataset contains fLUE data as described in Stocker et al., (2018) New Phytologist. fLUE is derived from the FLUXNET 2015 dataset, Tier 1, daily. Only sites are included where the method for quantifying fLUE satisfied performance criteria (see Stocker et al. 2018). 

 

  • site: Site name (ID) from the FLUXNET network
  • date: DD/MM/YY
  • year: year
  • doy: day of year
  • fLUE: unitless, fraction of actual over potential light use efficiency, derived from artificial neural networks. This quantifies the fractional reduction in light use efficiency due to soil moisture (1 = no reduction).
  • is_flue_drought: TRUE if the data is identified as a 'drought' based on deviation of fLUE from 1 (see Stocker et al., 2018)
  • cluster: sites are assigned to clusters based on their typical parallel evolution of greenness and fLUE throughout drought events. cDD: 'drought deciduous', cGR: 'evergreen', cLS: 'low sensitivity', cNA: 'not affected'. 

Files

flue_stocker18nphyt.csv

Files (11.7 MB)

Name Size Download all
md5:fdc4ec34ba54e36a47291a3cb64edf1b
11.7 MB Preview Download

Additional details

Funding

European Commission
FIBER - Understanding soil fertility impacts on terrestrial biomass production in a changing environment 701329

References

  • Stocker et al. (submitted)