
doi: 10.3099/529.1
Abstract A new species of Sphaerodactylus (Squamata: Gekkota: Sphaerodactylidae) is described from an amber inclusion from the late Early Miocene or early Middle Miocene (15 to 20 million years ago) of the Dominican Republic. Unlike earlier amber-embedded specimens assigned to this genus, the new specimen is largely skeletal, with some integument remaining. A combination of 258 (of 674) osteological and external characters could be scored for the new species in a cladistic analysis of 21 gekkotan species, including representatives of all sphaerodactylid genera. The most parsimonious trees obtained confirm the placement of the amber gecko within the genus Sphaerodactylus and a comparison with extant Hispaniolan and Puerto Rican congeners suggests phenetic similarity both with members of S. difficilis complex and the S. shrevei species group. Character mapping on the basis of the phylogenetic analysis permits the preliminary identification of morphological characters diagnostic of the Sphaerodactylidae, Sph...
Source: Biodiversity Heritage Library, Source: BHL, Biodiversity, BHL-Corpus, Source: https://biodiversitylibrary.org
Source: Biodiversity Heritage Library, Source: BHL, Biodiversity, BHL-Corpus, Source: https://biodiversitylibrary.org
| selected citations These citations are derived from selected sources. 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). | 32 | |
| 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. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
