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Case Applications of Statistical Models in Ecology & Evolution

Autor Youhua Chen
en Limba Engleză Hardback – mai 2016
Since the 20th century, there have been many exciting achievements in the field of ecology and evolution, many of which were formulated using statistical and mathematical functions. In particular, statistical and mathematical models are a necessity for developing some sub-disciplines and theories like population genetics and ecology, neutral theory of molecular evolution and biodiversity, and machine-learning techniques for species distribution modeling. This book serves as an elementary guide to showcase some statistical and mathematical models that have been applied and used in contemporary ecological or evolutionary research. Some models may be old-fashioned, whilst some others have been further extended or developed so as to better address special research questions presented in each chapter of the book. Technical aspects of each statistical model are presented in detail to allow readers to follow and apply their own research and practices.
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Specificații

ISBN-13: 9781634848763
ISBN-10: 1634848764
Pagini: 150
Ilustrații: illustrations
Dimensiuni: 180 x 260 x 17 mm
Greutate: 0.42 kg
Editura: Nova Science Publishers Inc
Colecția Nova Science Publishers Inc

Cuprins

Preface; Permutation-free Fishers Z-transform Method for Significance Testing of Mantels Statistic; Random Species/Population Change & Multiple-site Beta Diversity Indices: A Comparison of Contradictory Scenarios from Simulation- & Empirical BCI Tree-derived Data Sets; On the Relationship between Community-level Beta Diversity & Partitioning Variation for Space & Environment: BCI Tree Community as a Case Study; Distinguishing Niche & Neutral Processes: Issues in Variation Partitioning Statistical Methods & Further Perspectives; Estimating Ancestral Ranges in Historical Biogeography: On the Development of Alternative Range Evolution Models for Maximum Likelihood Inference; On the Relationships of Clade Age, Species Richness, & Phylogenetic Diversity of Global Mammals; Spatial Point Pattern Analysis of County Locations of Mainland China: The Relative Roles of Anthropogenic Factors, Climatic Fluctuation & Water Availability; Modeling Species-area Relationship with Measurement Uncertainty; Estimating Population Change of Species Under Climate Change Using Occupancy-abundance Relationship; Coexist: An R Package for Performing Species Coexistence Modeling & Analysis; Fitness Equivalence Promotes Species Coexistence under Fluctuating Environments with Simultaneous Coupling of Dispersal & Competition; Index.