Supplementary Material from <strong>Onditi, K. O., Song, W., Li, X., Musila, S., Chen, Z., Li, Q., Mathenge, J., Kioko, E., &amp; Jiang, X. (2023). Untangling key abiotic predictors of terrestrial mammal diversity patterns across ecoregions and species groups in Kenya. Ecological Indicators, 154, 110595. https://doi.org/https://doi.org/10.1016/j.ecolind.2023.110595 </strong>
Creators: name: Onditi, Kenneth
name: Li, Xue-You
name: Song, Wenyu
name: Musila, Simon
name: He, Shui-Wang
name: Mathenge, James
name: Kioko, Esther
name: Jiang, Xue-Long
Publisher: name: figshare
Year: 2023
Subjects: Conservation and biodiversity
Community ecology (excl. invasive species ecology)
Ecology not elsewhere classified
Terrestrial ecology

description: Supplementary material associated with the manuscript '<strong>Onditi, K. O., Song, W., Li, X., Musila, S., Chen, Z., Li, Q., Mathenge, J., Kioko, E., &amp; Jiang, X. (2023). Untangling key abiotic predictors of terrestrial mammal diversity patterns across ecoregions and species groups in Kenya. Ecological Indicators, 154, 110595. https://doi.org/https://doi.org/10.1016/j.ecolind.2023.110595' </strong> <br> <br> <strong>File Description</strong> <br> <strong>§ Fig 1.RData - Fig 5.RData:</strong> RData formatted files containing scripts and ready plots corresponding to figures in the manuscript. <strong>§ Fig S1.RData - Fig S8.RData:</strong> RData formatted files containing scripts and ready plots corresponding to the supplementary figures in the manuscript; these also correspond to the '§ <strong>SuppInfo: </strong> <strong>Fig S1 – Fig S8</strong>' below. <strong>§ Script 1 - ... .R - Script 5 - ... .R: </strong>R scripts for processing and analyzing data used in the study. These include scripts for; 1) Preparation of community, metadata, phylogeny, and traits datasets, 2) Deriving Diversity indices, 3) Regression model selection, and 4) Regression model implementations used for analyzing diversity-predictor associations. <strong>§ SuppInfo: </strong> <strong>Fig S1 – Fig S8: </strong>Supplementary figures (<strong>Fig S1:</strong> Bivariate correlations between the abiotic variables, <strong>Fig S2:</strong> Comparison of different regression model performance for three model algorithms, <strong>Fig S3:</strong> The distribution of various terrestrial mammal diversity indices in Kenya for the grid-based analyses, <strong>Fig S4:</strong> Map of the distribution of terrestrial mammals in Kenya based on multiple diversity indices), <strong>Fig S5:</strong> Bivariate associations between diversity indices, <strong>Fig S6:</strong> Alluvial plots’ of associations between predictors, diversity indices, and ecoregions, <strong>Fig S7:</strong> Point-error bar plots of associations between diversity variances and abiotic predictors, <strong>Fig S8:</strong> Regression trend lines of human footprint effect on diversity indices § <strong>SuppInfo: </strong> <strong>Table S1.</strong> An extended account of section <em>2 Material and Methods</em>. § <strong>SuppInfo: </strong> <strong>Table S2: </strong>The terrestrial mammal species, showing taxonomic details and functional traits used in the study. § <strong>SuppInfo: </strong> <strong>Table S3.</strong> The variables used as abiotic predictors of terrestrial mammal diversity patterns in Kenya. § <strong>SuppInfo: </strong> <strong>Table S4</strong>. Summary of regression model results exploring the association between abiotic predictors and various diversity indices of terrestrial mammals in Kenya between species groups and ecoregions. § <strong>SuppInfo: </strong> <strong>Table S5. </strong>Summary of regression model results exploring the association between human footprint and various diversity indices of terrestrial mammals in Kenya between species groups and ecoregions.