Geographical and ecological drivers of coexistence dynamics in squamate reptiles

Abstract

AO_SCPLOWBSTRACTC_SCPLOWO_ST_ABSAimC_ST_ABSSpecies richness varies widely across space. To understand the processes behind these striking patterns, we must know what are the relevant drivers underlying species coexistence. Several factors can potentially shape species coexistence such as the speciation process, the time since divergence between lineages, environmental effects, and intrinsic properties of the organisms. For the first time, we model the coexistence dynamics of lizards and snakes across broad temporal and spatial scales, investigating the role of species interactions, dispersal ability, and geographic area. LocationGlobal Time periodLast 20 million years Major taxa studiedSquamata (lizards and snakes) MethodsWe used 448 closely related species pairs and their age since divergence across 100 dated phylogenies. We categorized each pair as sympatric or allopatric and as occurring on islands or continents. We measured morphological traits to quantify niche divergence and used range and body size as proxies for dispersal ability. We applied a model-comparison framework in lizards and snakes separately to evaluate which factors best explained their coexistence dynamics. ResultsWe found that distinct factors drive the coexistence dynamics in lizards and snakes. In snakes, species pairs that coexist tend to occur on islands and are more different in body size, suggesting that both geographical setting and species interactions might be relevant factors. In contrast, we only found evidence that dispersal ability shaped the coexistence of lizards, where species coexist when they have higher dispersal abilities. Main conclusionsLizards and snakes greatly differ in coexistence dynamics. Higher heterogeneity in coexistence dynamics within lizards and group-specific life-history aspects might help to explain these findings. Our results emphasize that the interaction between where organisms are and who they are, ultimately shapes biodiversity patterns. We also highlight interesting avenues for further studies on species coexistence in deep time.