Asset Details
MbrlCatalogueTitleDetail
Do you wish to reserve the book?
A statistical reanalysis of morphological differentiation among island night lizards (Xantusia riversiana) from the California Channel Islands
by
Grismer, L. Lee
, Lovich, Robert E.
, Grismer, Jesse L.
, Chan, Kin Onn
in
algorithms
/ allometry
/ Analysis
/ California
/ Discriminant analysis
/ Ecology
/ Habitats
/ Islands
/ Lizards
/ Morphology
/ morphometry
/ Population studies
/ Resource management
/ Sexual dimorphism
/ Statistical analysis
/ Taxonomy
/ Variance analysis
/ vertebrates
/ Visualization
/ Xantusia
/ Xantusia riversiana
/ zoology
2022
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
You are currently in the queue to collect this book. You will be notified once it is your turn to collect the book.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
A statistical reanalysis of morphological differentiation among island night lizards (Xantusia riversiana) from the California Channel Islands
by
Grismer, L. Lee
, Lovich, Robert E.
, Grismer, Jesse L.
, Chan, Kin Onn
in
algorithms
/ allometry
/ Analysis
/ California
/ Discriminant analysis
/ Ecology
/ Habitats
/ Islands
/ Lizards
/ Morphology
/ morphometry
/ Population studies
/ Resource management
/ Sexual dimorphism
/ Statistical analysis
/ Taxonomy
/ Variance analysis
/ vertebrates
/ Visualization
/ Xantusia
/ Xantusia riversiana
/ zoology
2022
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
A statistical reanalysis of morphological differentiation among island night lizards (Xantusia riversiana) from the California Channel Islands
by
Grismer, L. Lee
, Lovich, Robert E.
, Grismer, Jesse L.
, Chan, Kin Onn
in
algorithms
/ allometry
/ Analysis
/ California
/ Discriminant analysis
/ Ecology
/ Habitats
/ Islands
/ Lizards
/ Morphology
/ morphometry
/ Population studies
/ Resource management
/ Sexual dimorphism
/ Statistical analysis
/ Taxonomy
/ Variance analysis
/ vertebrates
/ Visualization
/ Xantusia
/ Xantusia riversiana
/ zoology
2022
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
A statistical reanalysis of morphological differentiation among island night lizards (Xantusia riversiana) from the California Channel Islands
Journal Article
A statistical reanalysis of morphological differentiation among island night lizards (Xantusia riversiana) from the California Channel Islands
2022
Request Book From Autostore
and Choose the Collection Method
Overview
This study re-analyzes morphometric and meristic data among island night lizards, Xantusia riversiana , from the California Channel Islands of San Clemente, Santa Barbara, and San Nicolas in order to ascertain whether the implementation of different statistical methods can recover different results that could potentially alter biological interpretations. Our results concur with a recent previous study demonstrating that the three island populations differ morphologically from one another and that the San Nicolas Island population is the most divergent. Several important aspects, however, of the previous study depart significantly from those recovered here. Our analyses found sexual dimorphism within each population for both morphometric and meristic characters to be relatively uncommon whereas the previous study found nearly all characters to be sexually dimorphic for all island populations. The previous study also recovered significant differences among the three island populations for all morphometric characters whereas far fewer differences were recovered in the present study. Both studies found few significant inter-island differences among the meristic characters. The discordances between these two studies stem from differences in the a priori treatment of the raw character data and the different downstream statistical analyses and visualization techniques used on those data. This was particularly relevant with the use here of an allometric growth algorithm for size-correcting the morphometric data not used in the previous study and by treating all three populations as independently evolving groups. We did not conduct analyses where data from the San Clemente and Santa Barbara island populations were conflated based on their subspecific designation ( X. r. reticulata ) and then compared to data from the independently evolving San Nicolas Island population. This imprudent use of taxonomy violates the assumptions of statistical independence. We emphasize that explicit justification for the use of particular statistical analyses should occur in all studies—especially if the results bear on the implementation of effective and efficient resource management programs.
This website uses cookies to ensure you get the best experience on our website.