Claim · model-written summary
Precipitation had a standardized regression coefficient of -0.608 for L. chinensis importance value.
- Taxon
- Leymus chinensis (Trin.)Leymus chinensise0
- Treatment
- precipitatione1
- Outcome
- importance value of L. chinensise1
- Value
- -0.608e1
Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleComparatorSettingDirectionQualifier
Verbatim
e0“Leymus chinensis (Trin.)”
e1“standardized coefficients of a regression model (β) for DMO, NPP, and the importance value of L. chinensis were 0.685, 0.532, and -0.608 for precipitation”
Title
Feng He; Kun Wang; David B. Hannaway; et al. PLoS ONE 2017. doi:10.1371/journal.pone.0190450
Other claims from this paper (12)
- Intervention effect A 50% reduction in natural precipitation significantly decreased NPP.
- Intervention effect A 50% precipitation increase did not significantly increase NPP.
- Intervention effect A 50% precipitation increase decreased the importance value of L. chinensis.
- Intervention effect More water promoted competing species growth.
- Intervention effect Clipping twice per year increased NPP.
- Intervention effect Clipping twice per year increased the dry matter of other species component.
- Intervention effect Clipping twice per year did not increase L. chinensis dry matter.
- Association Precipitation had a standardized regression coefficient of 0.685 for DMO.
- Association Precipitation had a standardized regression coefficient of 0.532 for NPP.
- Association Clipping mode had a standardized regression coefficient of 0.369 for DMO.
- Association Clipping mode had a standardized regression coefficient of 0.419 for NPP.
- Association Clipping mode had a standardized regression coefficient of -0.276 for L. chinensis importance value.