Claim · model-written summary
Rainfall had the highest effect on the distribution of the P. uloptera habitat in the logistic regression model.
- Taxon
- Prangos UlopteraPrangos ulopterat0
- Treatment
- rainfalle4
- Outcome
- distribution of the P. uloptera habitate4
- Direction
- higheste4
Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleComparatorSettingValueQualifier
Verbatim
t0“Prediction of Distribution of Prangos Uloptera DC.”
e4“The LR model showed that rainfall had the highest effect on the distribution of the P. uloptera habitat”
Title
Javad Esfanjani; Ardavan Ghorbani; Mehdi Moameri; et al. Journal of rangeland science. 2020
Other claims from this paper (4)
- Method / resource The logistic regression prediction map had good accuracy (Kappa index 0.65).
- Association In the MaxEnt model, sand, nitrogen, silt and potassium had the highest effect on the distribution of the P. uloptera habitat.
- Method / resource The MaxEnt prediction had low accuracy (Kappa index 0.35).
- Recommendation Modelling methods could be used as a prediction tool for the location of plant species (author conclusion).