Matrix Population Models: Construction, Analysis, and Interpretation
Matrix Population Models, Second Edition, is a comprehensive treatment of matrix population models and their applications in ecology and demography. It begins with simple cases, presented in detail so that beginning students can learn how to use these powerful models. It goes on to cover advanced topics in stochastic and nonlinear models. Analytical methods and theoretical issues are illustrated with empirical examples throughout. The decade since the publication of the First Edition of this book has seen enormous progress in the theory and application of matrix population models. The new edition includes greatly expanded treatment of stochastic and density-dependent models, sensitivity analysis, and statistical inference, and new chapters on parameter estimation, structured population models, demographic stochasticity, and applications of matrix models in conservation biology. Matrix Population Models, Second Edition, is an indispensable reference for graduate students and researchers in ecology, population biology, conservation biology, and human demography.
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AgeClassified Matrix Models
StageClassified Life Cycles
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adult age class age-classified model age-specific assume asymptotic attractor begin example Example bifurcation Biology bootstrap branching processes calculated Caswell changes Chapter characteristic equation coefficients column confidence intervals convergence covariance cycle graph defined demographic stochasticity denote density density-dependent depends described desert tortoise deterministic dominant eigenvalue Ecology effects eigenvalues end example entries environment environmental equilibrium ergodic ergodic set estimate extinction probability females fertility Figure function i-state increase individuals initial conditions interaction invariant loop iteroparity killer whales left eigenvectors linear Lyapunov exponent Markov chain matrix models matrix population models mean measure mortality nonlinear offspring parameters population growth rate predicted produce projection interval projection matrix random reduced reproductive value sample Section seed sensitivities and elasticities shows simulation size-classified species stage distribution statistics stochastic growth rate structure survival probability theorem tion transition Tuljapurkar variable variance vector vital rates zero