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ZENODO
Dataset . 2020
License: CC 0
Data sources: ZENODO
DRYAD
Dataset . 2020
License: CC 0
Data sources: Datacite
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Data from: The global biogeography of lizard functional groups

Authors: Vidan, Enav; Bauer, Aaron; Hererra, Fernando-Castro; Chirio, Laurent; Nogueira, Cristiano; Doan, Tiffany; Lewin, Amir; +11 Authors

Data from: The global biogeography of lizard functional groups

Abstract

Aim - Understanding the mechanisms determining species richness is a primary goal of biogeography. Richness patterns of sub-groups within a taxon are usually assumed to be driven by similar processes. However, if richness of distinct ecological strategies respond differently to the same processes, inferences made for an entire taxon may be misleading. We deconstruct the global lizard assemblage into functional groups and examine the congruence among richness patterns between them. We further examine the species richness – functional richness relationship to elucidate the way functional diversity contributes to the overall species richness patterns. Location – Global. Methods – Using comprehensive biological trait databases we classified the global lizard assemblage into ecological strategies based on body size, diet, activity times and microhabitat preferences, using Archetypal Analysis. We then examined spatial gradients in the richness of each strategy at the one-degree grid cell, biomes and realm scales. Results – We found that lizards can best be characterized by seven ‘ecological strategies’: scansorial, terrestrial, nocturnal, herbivorous, fossorial, large and semi-aquatic. There are large differences among the global richness patterns of these strategies. While the major richness hotspot for lizards in general is in Australia, several strategies exhibit highest richness in the Amazon Basin. Importantly, the global maximum in lizard species richness is achieved at intermediate values of functional diversity and increasing functional diversity further result in a shallow decline of species richness. Main conclusions - The deconstruction of the global lizard assemblage along multiple ecological axes offers a new way to conceive lizard diversity patterns. It suggests that local lizard richness mostly increases when species belonging to particular ecological strategies become hyper-diverse there, and not because more ecological types are present in the most species rich localities. Thus maximum richness and maximum ecological diversity do not overlap. These results shed light on the global richness pattern of lizards, and highlight previously unidentified spatial patterns in understudied functional groups.

Vidan et al. Appendix S5table of all the lizard species analysed, their loading on the seven different archetypes, and how they were classified in the full analysis ("Archetype", Column I), and in the sensitivity analyses omiting data on either body mass (column J) or activity time (Column K).

Keywords

lizards, activity time, Archetypal Analysis, Reptilia, Holocene, microhabitat preferences, Functional groups, Lizards, Sauria

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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