2019
DOI: 10.1016/j.ympev.2019.01.021
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Diversification of bent-toed geckos (Cyrtodactylus) on Sumatra and west Java

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Cited by 27 publications
(23 citation statements)
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“…5). Phylogenetic relationships in the group support multiple historical interchanges of lineages between the Thai-Malay Peninsula and Sumatra, as well as adjacent island chains (Grismer and Davis 2018;O'Connell et al 2019). The group has four potentially undescribed putative species from Sumatra-cf.…”
Section: Cyrtodactylus Agamensis Groupmentioning
confidence: 77%
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“…5). Phylogenetic relationships in the group support multiple historical interchanges of lineages between the Thai-Malay Peninsula and Sumatra, as well as adjacent island chains (Grismer and Davis 2018;O'Connell et al 2019). The group has four potentially undescribed putative species from Sumatra-cf.…”
Section: Cyrtodactylus Agamensis Groupmentioning
confidence: 77%
“…The marmoratus group (Fig. 26) is composed of at least three nominal species (two of which are analyzed here) and six potentially undescribed species (O'Connell et al 2019;Riyanto et al 2015) that range from New Guinea westward across the Lesser Sundas and Java, to parts of southern and western Sumatra (Figs. 3,27).…”
Section: Cyrtodactylus Marmoratus Groupmentioning
confidence: 99%
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“…We used this method as the main approach to exploratory delimitation (ED) of species boundaries based on DNA barcodes and to establish OTUs due to it is frequently used in empirical studies has been and outperform OTU-picking methods (relying on simple sequence similarity thresholds) and are more robust to cases where the barcoding gap is absent [44,45]. This method is useful when multiple individuals belong to putative species are analyzed [46]. In spite previous studies have found that in some cases GMYC could lead to an overestimation of the number of species [47], paradoxically, this background makes it an appropriate method to evaluate the largest number of a priori groups in the exploratory analysis and to compare with regularly more conservative methods [10,47].…”
Section: Methodsmentioning
confidence: 99%
“…(2018), and O'Connell et al. (2019); nine finely delimited habitat preference categories as opposed to five; and a more informative statistical model (Bayesian vs. MP and ML; see below), we evaluate the evolution of habitat preference across the whole of Cyrtodactylus . With these data, we aim to (a) investigate the degree of ecological lability within Cyrtodactylus by assessing the frequency and direction of habitat preference transformations, (b) note the degree of convergent evolution in habitat preference among species and clades, (c) identify the habitats that support the largest number of species and, (d) contextualize these results in the framework of karst habitat conservation.…”
Section: Introductionmentioning
confidence: 99%