Data and code for: Effort-Corrected Global Analysis Supports a Robust but Taxonomically Uneven Island Signal in Lizard Frugivory

Le résumé fourni par la source

This repository contains the compiled analysis datasets and the complete R and Python pipeline supporting the manuscript "Effort-Corrected Global Analysis Supports a Robust but Taxonomically Uneven Island Signal in Lizard Frugivory" (Al-Sayegh & Almousa, submitted to the Journal of Biogeography). From a full census of 7,396 Sauria species, the study assembles an independently reconstructed global frugivory database and tests whether island residency remains a significant predictor of lizard frugivory after correcting for research effort, using phylogenetic logistic regression on the Tonini et al. (2016) squamate phylogeny and its 100-tree posterior sample. See the included README.md for a full description of the code (39 scripts, numbered in pipeline order), the compiled data files, and the manuscript tables, plus citations for the third-party primary databases (ReptTraits, GBIF, GIFT, GloBI, the Tonini et al. phylogeny) that this archive deliberately does not redistribute.

Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.