Asset Details
Do you wish to reserve the book?
Measuring diversity: from individuals to populations : Mini-review
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.
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?
Measuring diversity: from individuals to populations : Mini-review
Do you wish to request the book?
Measuring diversity: from individuals to populations : Mini-review
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.
Journal Article
Measuring diversity: from individuals to populations : Mini-review
2014
Overview
Making inferences about variation within and among various operational units may depend on the ability of a selected approach to diversity analysis to utilize correctly all information available in the raw data. Frequency-based genotypic and gene diversity parameters, methods of ‘true diversity’ and functional diversity, as well as two types of dissimilarity based approaches (by means of averaging pairwise dissimilarities, and solution of the assignment problem) are comprehensively discussed. The dissimilarity based approaches need a suitable assessment of dissimilarity between individual operational units (individuals, communities, populations, clusters, functions, phylogenetic trees etc.). Many commonly used diversity parameters can be derived in terms of the average based measures. The assignment based methods are able to address some limitations and shortcomings of the commonly used measures of population diversity, and they are preferable in the case of possible association between traits. They are always mathematically valid, whereas validity of the average based methods depends on the selected dissimilarity measure. The dissimilarity based methods actually assess functional diversity in the space of the selected traits, and they allow measuring complex diversity and assessment of total γ-diversity as the sum of the independent components of α- and β-diversity with descriptors of different types. The dissimilarity based method for diversity analysis can be consistently employed together with other approaches to data analysis (e.g. clustering). In particular, they may provide valid diversity estimates and replace Nei’s diversity measures, which are often inconsistently used with binary molecular marker data.
Publisher
Springer-Verlag,Springer Netherlands,Springer Nature B.V
