SIF indicators had an AGPP prediction root mean square error of 414.7 gC·m −2 ·year −1.

Claim · model-written summary

SIF indicators had an AGPP prediction root mean square error of 414.7 gC·m −2 ·year −1.

Taxon

vegetatione1

Outcome

root mean square errore0

Direction

higheste0

Value

414.7 gC·m −2 ·year −1e0

Comparator

LAI- and EVI-based indicatorse0

Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentSettingQualifier

Verbatim

e0

“SIF-based indicators exhibited the highest accuracy (Pearson's r ​= ​0.79; root mean square error ​= ​414.7 gC·m −2 ·year −1 ), outperforming LAI- and EVI-based indicators”

t0

“phenology and physiology”

e1

“vegetation physiology, particularly the seasonal maximum gross primary production, plays a more dominant role in regulating AGPP than phenology”