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      Morphological and genetic evidence for a new karst specialist lizard from New Guinea ( Cyrtodactylus: Gekkonidae)

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          Abstract

          Exposed limestone karst landscapes, especially in the tropics, are often home to distinctive and specialized biotas. Among vertebrates, a particularly large number of karst-associated lizard taxa have been described, but for the vast majority, evidence of specific adaptions to karst is lacking. A number of studies, however, have provided evidence of consistent morphological trends in lizards that use complex, three-dimensional, saxicoline habitats such as those that typify karst areas. Here we combine morphological and genetic data to test whether a newly discovered gecko from an extremely rugged karst area in New Guinea shows morphological trends matching those observed in other lizards associated with complex rock habitats such as karst and caves. Consistent with predictions, the new species' head is flatter and narrower than similar-sized relatives, and it has proportionally larger eyes and longer limbs. These trends indicate this taxon represents the second documented instance of karst specialization in a New Guinean vertebrate, and suggest morphological traits to test for evidence of specialized ecological associations in the many karst-associated Cyrtodactylus taxa from Southeast Asia.

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          Continuous and arrested morphological diversification in sister clades of characiform fishes: a phylomorphospace approach.

          Understanding how and why certain clades diversify greatly in morphology whereas others do not remains a major theme in evolutionary biology. Projecting families of phylogenies into multivariate morphospaces can distinguish two scenarios potentially leading to unequal morphological diversification: unequal magnitude of change per phylogenetic branch, and unequal efficiency in morphological innovation. This approach is demonstrated using a case study of skulls in sister clades within the South American fish superfamily Anostomoidea. Unequal morphological diversification in this system resulted not from the morphologically diverse clade changing more on each phylogenetic branch, but from that clade distributing an equal amount of change more widely through morphospace and innovating continually. Although substantial morphological evolution occurred throughout the less diverse clade's history, most of that clade's expansion in morphospace occurred in the most basal branches, and more derived portions of that radiation oscillated within previously explored limits. Because simulations revealed that there is a maximum 2.7% probability of generating two clades that differ so greatly in the density of lineages within morphospace under a null Brownian model, the observed difference in pattern likely reflects a difference in the underlying evolutionary process. Clade-specific factors that may have promoted or arrested morphological diversification are discussed.
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            Limestone Karsts of Southeast Asia: Imperiled Arks of Biodiversity

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              Size correction: comparing morphological traits among populations and environments.

              Morphological relationships change with overall body size and body size often varies among populations. Therefore, quantitative analyses of individual traits from organisms in different populations or environments (e.g., in studies of phenotypic plasticity) often adjust for differences in body size to isolate changes in allometry. Most studies of among population variation in morphology either (1) use analysis of covariance (ANCOVA) with a univariate measure of body size as the covariate, or (2) compare residuals from ordinary least squares regression of each trait against body size or the first principal component of the pooled data (shearing). However, both approaches are problematic. ANCOVA depends on assumptions (small variance in the covariate) that are frequently violated in this context. Residuals analysis assumes that scaling relationships within groups are equal, but this assumption is rarely tested. Furthermore, scaling relationships obtained from pooled data typically mischaracterize within-group scaling relationships. We discuss potential biases imposed by the application of ANCOVA and residuals analysis for quantifying morphological differences, and elaborate and demonstrate a more effective alternative: common principal components analysis combined with Burnaby's back-projection method.
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                Author and article information

                Journal
                R Soc Open Sci
                R Soc Open Sci
                RSOS
                royopensci
                Royal Society Open Science
                The Royal Society Publishing
                2054-5703
                November 2017
                15 November 2017
                15 November 2017
                : 4
                : 11
                : 170781
                Affiliations
                [1 ]Department of Biological Sciences, Marquette University , Milwaukee, WI 53211, USA
                [2 ]Ecology and Evolution, Research School of Biology, The Australian National University , Canberra, Australian Capital Territory 0200, Australia
                Author notes
                Author for correspondence: Paul M. Oliver e-mail: paul.oliver@ 123456anu.edu.au
                Author information
                http://orcid.org/0000-0003-4291-257X
                Article
                rsos170781
                10.1098/rsos.170781
                5717644
                f71f78f7-ac55-4bd7-9adf-fef51ddc85f8
                © 2017 The Authors.

                Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.

                History
                : 27 June 2017
                : 13 October 2017
                Funding
                Funded by: Australia Pacific Science Foundation;
                Funded by: Australian Research Council, http://dx.doi.org/10.13039/501100000923;
                Categories
                1001
                183
                70
                Biology (Whole Organism)
                Research Article
                Custom metadata
                November, 2017

                cyrtodactylus,ecological diversity,gecko,morphometric analysis,specialization

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