Matrix Population Models: Construction, Analysis, and InterpretationMatrix 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. |
Contents
Introduction | 1 |
AgeClassified Matrix Models | 8 |
TwoSex Models | 22 |
Copyright | |
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Common terms and phrases
A₁ adult age class age-classified model age-specific analysis assume asymptotic attractor begin example Example bifurcation Biology bootstrap calculated changes Chapter characteristic equation coefficients column confidence intervals contributions convergence covariance cycle graph defined denote density density-dependent depends derivatives described desert tortoise deterministic dominant eigenvalue dynamics Ecology effects eigenvalues end example entries environment environmental equilibrium ergodic estimate extinction probability females fertility Figure frequency function genetic harbor porpoise i-state increase individuals interaction iteroparous killer whales left eigenvectors linear loop LTRE Lyapunov exponent Markov chain MATLAB matrix models matrix population models measured methods mortality N₁ nonlinear offspring P₁ parameters perturbations population growth rate predicted produce projection interval projection matrix random reduced reproductive value rosettes sample Section seeds semelparous species stable age distribution statistics structure survival probability teasel theorem tion transition Tuljapurkar variable variance vector vital rates w₁ z-transform zero θλ