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April M. Wright

Researcher at Southeastern Louisiana University

Publications -  32
Citations -  4311

April M. Wright is an academic researcher from Southeastern Louisiana University. The author has contributed to research in topics: Phylogenetic tree & Biology. The author has an hindex of 12, co-authored 27 publications receiving 3051 citations. Previous affiliations of April M. Wright include Iowa State University & University of Texas at Austin.

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PartitionFinder 2: New Methods for Selecting Partitioned Models of Evolution for Molecular and Morphological Phylogenetic Analyses.

TL;DR: PartitionFinder 2 is a program for automatically selecting best-fit partitioning schemes and models of evolution for phylogenetic analyses that includes the ability to analyze morphological datasets, new methods to analyze genome-scale datasets, and new output formats to facilitate interoperability with downstream software.
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Bayesian analysis using a simple likelihood model outperforms parsimony for estimation of phylogeny from discrete morphological data.

TL;DR: This work explores the efficacy of Bayesian estimation of phylogeny, using the Mk model, under conditions that are commonly encountered in paleontological studies, and describes the relative performances of parsimony and the MK model under a range of realistic conditions.
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Modeling Character Change Heterogeneity in Phylogenetic Analyses of Morphology through the Use of Priors.

TL;DR: Using empirical data sets, model fitting is performed to illustrate cases in which modeling asymmetric transition rates among characters is preferable to the standard Mk model and chooses the best-fit model of transition-state symmetry to improve model fit and phylogenetic estimation.
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Inferring node dates from tip dates in fossil Canidae: the importance of tree priors.

TL;DR: It is found that for key nodes, a non-mechanistic model using a uniform tree prior produces estimates that are unrealistically old (27.5, 38.9 Ma).
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Species delimitation in endangered groundwater salamanders: Implications for aquifer management and biodiversity conservation

TL;DR: Edwards–Trinity salamanders and other codistributed groundwater-dependent organisms are highly vulnerable to extinction within the next century, based on regional climate models that predict increased air temperature and hydrologic models that project decreased springflow.