Data from: Historical colonization and dispersal limitation supplement climate and topography in shaping species richness of African lizards (Reptilia: Agaminae)
Kissling, W. Daniel, University of Amsterdam
Blach-Overgaard, Anne, Aarhus University
Zwaan, Roelof E., University of Amsterdam
Wagner, Philipp, Bavarian State Collection of Zoology
Published Aug 19, 2017 on Dryad.
Cite this dataset
Kissling, W. Daniel; Blach-Overgaard, Anne; Zwaan, Roelof E.; Wagner, Philipp (2017). Data from: Historical colonization and dispersal limitation supplement climate and topography in shaping species richness of African lizards (Reptilia: Agaminae) [Dataset]. Dryad. https://doi.org/10.5061/dryad.kf154
To what extent deep-time dispersal limitation shapes present-day biodiversity at broad spatial scales remains elusive. Here, we compiled a continental dataset on the distributions of African lizard species in the reptile subfamily Agaminae (a relatively young, Neogene radiation of agamid lizards which ancestors colonized Africa from the Arabian peninsula) and tested to what extent historical colonization and dispersal limitation (i.e. accessibility from areas of geographic origin) can explain present-day species richness relative to current climate, topography, and climate change since the late Miocene (~10 mya), the Pliocene (~3 mya), and the Last Glacial Maximum (LGM, 0.021 mya). Spatial and non-spatial multi-predictor regression models revealed that time-limited dispersal via arid corridors is a key predictor to explain macro-scale patterns of species richness. In addition, current precipitation seasonality, current temperature of the warmest month, paleo-temperature changes since the LGM and late Miocene, and topographic relief emerged as important drivers. These results suggest that deep-time dispersal constraints — in addition to climate and mountain building — strongly shape current species richness of Africa’s arid-adapted taxa. Such historical dispersal limitation might indicate that natural movement rates of species are too slow to respond to rates of ongoing and projected future climate and land use change.
Distribution data (GIS shape files) of agamid lizards in Africa in two Projected Coordinate Systems (LAEA, WGS84). See readme file for further details.