An introduction to quantitative ecology / Robert W. Poole

Bibliografía: páginas 515-525 e índice: páginas 527-532

Preface.. Introduction.. Part One.. 1 Increase of a Population in an Unlimited Environment.. 1-1 Exponential population growth.. 1 -2 The life table.. 1-3 Estimation of the intrinsic rate of increase.. 1-4 Matrix algebra.. 1-5 A matrix model of population growth.. 2 Statistics, Probability Distributions, and Stochastic Models of Exponential Growth.. 2-1 Statistics and probability distributions.. 2-2 Stochastic models of exponential growth.. 3 The Effect of Density on Population Growth.. 3-1 The effect of density on population growth.. 3-2 The logistic equation.. 3-3 A stochastic model of population growth in a limited environment.. 3-4 An age group model of population growth in a limited environment.. 3-5 Intraspecific competition in plants.. 3-6 Density dependence and density independence.. 4 Dispersal.. 4-1 Some general comments.. 4-2 Density-independent dispersal.. 4-3 Density-dependent dispersal.. 4-4 Dispersal and population growth.. 5 Dispersion Patterns and Spatial Distributions.. 5-1 Dispersion patterns in discrete units.. 5-2 Continuous dispersion patterns.. 5-3 A nearest-neighbor method.. 5-4 Two-phase mosaics and the concept of patches and gaps.. 5-5 Causes of observed spatial dispersion patterns.. Part Two.. 6 Competition Between Two Species.. 6-1 Competition between two species of Tribolium.. 6-2 Deterministic models of two-species competition.. 6-3 The stochastic version of the Leslie-Gower model.. 6-4 Commentary.. 7 Predator-prey and Host-parasite Interactions.. 7-1 Deterministic models.. 7-2 A stochastic model.. 7-3 Spatial patterns, refugia, and the predator-prey interaction.. 7-4 The functional response of predators and parasites to prey density.. 8 Epidemics and Disease.. 8-1 Simple epidemics.. 8-2 The general epidemic.. 8-3 Recurrent epidemics.. 8-4 Dispersion patterns and the spread of a disease.. Part Three.. 9 Analysis and Modeling of Natural Populations.. 9-1 Type-4 models.. 9-2 The analysis of variance.. 9-3 Regression and correlation.. 9-4 Deductive modeling.. 10 The Modeling of a Natural Population.. 10-1 The development of the spruce budworm model.. 10-2 Key factor analysis.. 10-3 Time series analysis.. 11 Sampling and the Estimation of Population Parameters.. 11-1 Development of a sampling program.. 11-2 Mark-recapture methods.. 11-3 Estimating density from a linear transect.. 11-4 Density of a randomly dispersed plant population.. 11-5 Estimation of dispersal.. 11-6 Sequential sampling Part Four.. 12 Associations within Pairs of Species.. 12-1 Association between two species occurring in discrete units.. 12-2 Association between two species in a continuous habitat.. 13 Community Classification and Ordination.. 13-1 Hierarchical classifications.. 13-2 Ordination.. 13-3 Discriminant analysis and Hotteling’s T2.. 13-4 The continuum concept.. 14 Species-abundance Relations and the Measurement of Species Diversity.. 14-1 Species-area relationships.. 14-2 Species-abundance relationships.. 14-3 Measures of diversity.. 15 Interactions among Three or More Species.. 15-1 Competition among three or more species.. 15-2 Several species of parasites, predators, prey, and hosts.. 15-3 The food web, population stability, and species diversity.. 15-4 Succession.. 15-5 The extinction and formation of populations.. Part Five.. 16 Production, Biomass, and Energy in Single Populations.. 16-1 Production in animal populations.. 16-2 Production in plants.. 16-3 The exploitation of a population: plaice.. 17 Energy Flow and Nutrient Cycling Through and Ecosystem.. 17-1 Energy flow through an ecosystem.. 17-2 Nutrient cycling.. 17-3 Energy flow and nutrient cycling in a grassland ecosystem.. Appendix: Mathematical Symbols.. Literature Cited.. Index

Stressing the actual use of quantitative methods on real field data, this book provides a balanced treatment of both plant and animal ecology. Beginning with the simple single population, Dr. Poole proceeds to the analysis of field populations, and concludes with the study of interactions in communities of species, energy flow , and nutrient cycling. Among the topics discussed are epidemiology, community classification, ordination, species diversity, the estimation of energy and nutrient flow rates, the analysis of spatial patterns, dispersal and sampling methods. The general applicability of the model or method to real field problems is discussed, and the material in each chapter is illustrated by real examples of its use. The organization of the book is generally based on the presentation of a problem, a method of solving the problem, the analysis of an example, and a discussion of the ecological generalities and implications suggested by the analysis. Although this survey of ecology has a strong math basis, it is primarily written for the non-mathematically inclined biologist. The only prerequisite is high school algebra. The required math is presented in a simple manner as it becomes necessary and the sections on statistics focus on applying the method to the topic at hand. In most cases, the author has avoided deriving models or statistical methods and has concentrated on explaining the uses of the models, their implications, and most importantly, their assumptions. eng