Claim · model-written summary
Logistic regression had significant fits for 25 habitat configuration variables.
- Taxon
- nemoral plant speciese1
- Outcome
- significant fitse0
- Value
- 25e0
- Qualifier
- habitat configuration variablese0
Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentComparatorSettingDirection
Verbatim
e0“Multiple logistic regression resulted in significant fits for 88 species/variable combinations: 38 are habitat quality variables, 25 are habitat configuration variables, and 13 are anthropic factors.”
e1“nemoral plant species richness and distribution”
Title
Michele De Sanctis; Marco Alfò; Fabio Attorre; et al. Journal of Vegetation Science 2009. doi:10.1111/j.1654-1103.2009.01125.x
Other claims from this paper (8)
- Observation Two woodland types differed in species composition, habitat quality and spatial configuration.
- Association Habitat configuration and history were related to woodland species richness.
- Method / resource Logistic regression had significant fits for 88 species/variable combinations.
- Method / resource Logistic regression had significant fits for 38 habitat quality variables.
- Method / resource Logistic regression had significant fits for 13 anthropic factors.
- Association Plant dispersal strategies varied significantly with patch area, isolation and age.
- Association Generalist and specialist plant species differed by woodland age.
- Association Habitat configuration and quality, particularly soil acidity, appeared to influence species composition.