To see accurate pricing, please choose your delivery country.
 
 
United States
£ GBP
All Shops

British Wildlife

8 issues per year 84 pages per issue Subscription only

British Wildlife is the leading natural history magazine in the UK, providing essential reading for both enthusiast and professional naturalists and wildlife conservationists. Published eight times a year, British Wildlife bridges the gap between popular writing and scientific literature through a combination of long-form articles, regular columns and reports, book reviews and letters.

Subscriptions from £33 per year

Conservation Land Management

4 issues per year 44 pages per issue Subscription only

Conservation Land Management (CLM) is a quarterly magazine that is widely regarded as essential reading for all who are involved in land management for nature conservation, across the British Isles. CLM includes long-form articles, events listings, publication reviews, new product information and updates, reports of conferences and letters.

Subscriptions from £26 per year
Academic & Professional Books  Evolutionary Biology  Cladistics, Phylogeny, Systematics & Taxonomy

Species Tree Inference A Guide to Methods and Applications

Handbook / Manual
By: Laura S Kubatko(Editor), L Lacey Knowles(Editor)
324 pages, 101 b/w photos & b/w illustrations, 6 tables
Species Tree Inference
Click to have a closer look
Select version
  • Species Tree Inference ISBN: 9780691207605 Paperback May 2023 Not in stock: Usually dispatched within 6 days
    £41.99
    #257981
  • Species Tree Inference ISBN: 9780691207599 Hardback May 2023 Not in stock: Usually dispatched within 6 days
    £91.99
    #259098
Selected version: £41.99
About this book Customer reviews Biography Related titles

About this book

The increasingly widespread availability of genomic data is transforming how biologists estimate evolutionary relationships among organisms and broadening the range of questions that researchers can test in a phylogenetic framework. Species Tree Inference brings together many of today's leading scholars in the field to provide an incisive guide to the latest practices for analyzing multilocus sequence data.

This wide-ranging and authoritative book gives detailed explanations of emerging new approaches and assesses their strengths and challenges, offering an invaluable context for gauging which procedure to apply given the types of genomic data and processes that contribute to differences in the patterns of inheritance across loci. It demonstrates how to apply these approaches using empirical studies that span a range of taxa, timeframes of diversification, and processes that cause the evolutionary history of genes across genomes to differ.

By fully embracing this genomic heterogeneity, Species Tree Inference illustrates how to address questions beyond the goal of estimating phylogenetic relationships of organisms, enabling students and researchers to pursue their own research in statistically sophisticated ways while charting new directions of scientific discovery.

Customer Reviews

Biography

Laura S. Kubatko is Professor of Statistics and of Evolution, Ecology, and Organismal Biology at The Ohio State University. L. Lacey Knowles is the Robert B. Payne Collegiate Professor of Ecology and Evolutionary Biology and Curator of Insects at the University of Michigan. They are the coeditors of Estimating Species Trees: Practical and Theoretical Aspects.

Handbook / Manual
By: Laura S Kubatko(Editor), L Lacey Knowles(Editor)
324 pages, 101 b/w photos & b/w illustrations, 6 tables
Media reviews

"Kubatko and Knowles have gathered many of the leading contributors to the field to offer novel perspectives on the most important aspects of species tree estimation along with exemplary case studies and incisive summaries of the literature. The methods presented here are crucial for modern comparative analyses."
– Mark T. Holder, University of Kansas

"An excellent contribution to the field. Given the importance of phylogenetics to nearly every biological subdiscipline, this book will be useful to a large diversity of biologists."
– Paul O. Lewis, coeditor of Bayesian Phylogenetics: Methods, Algorithms, and Applications

Current promotions
Best of WinterNHBS Moth TrapNew and Forthcoming BooksBuyers Guides