Ecological niche modelling of a critically endangered species Commiphora wightii (Arn.) Bhandari using bioclimatic and non-bioclimatic variables

• Published in: Ecological processes Vol. 12; no. 1; p. 8
• Main Authors: Mathur, Manish, Mathur, Preet, Purohit, Harshit
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.12.2023; Springer Nature B.V; SpringerOpen
• Subjects: Accuracy; Alluvial plains; Annual precipitation; Area of extent; Bioclimatology; Biometeorology; Coefficient of variation; Commiphora wightii; Critically endangered; Critically endangered species; Dimensions; Dunes; Earth and Environmental Science; Ecological distribution; Ecological niches; Endangered & extinct species; Endangered plants; Endangered species; energy; Entropy; Environment; Geographical distribution; Grasslands; Habitat heterogeneity index; Habitats; Heterogeneity; India; Indigenous species; Land use; Landforms; Maxent; Maximum entropy; Model accuracy; Modelling; Niche hypervolume; Niches; Plant communities; Plant species; Precipitation; Rare species; Rocky environments; sand; soil; species; temperature; topographic slope; Variables; Water availability; India; Critically endangered; Habitat heterogeneity index; Area of occupancy; Maxent; Area of extent; Niche hypervolume

Background The aim of this study is to examine the effects of four different bioclimatic predictors (current, 2050, 2070, and 2090 under Shared Socioeconomic Pathways SSP2-4.5) and non-bioclimatic variables (soil, habitat heterogeneity index, land use, slope, and aspect) on the habitat suitability a...