Stability in Model Populations
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A01=Amitabh Joshi
A01=Laurence D. Mueller
Accuracy and precision
Author_Amitabh Joshi
Author_Laurence D. Mueller
Autocorrelation
Balance of nature
Calculation
Cannibalism (zoology)
Carrying capacity
Category=PSAF
Category=PSAJ
Coefficient of determination
Coefficient of variation
Confidence interval
Correlation coefficient
Curve fitting
Degrees of freedom (statistics)
Density dependence
Drosophila
Ecology
Effective population size
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eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_science
Equilibrium point
Estimation
Estimation theory
Estimator
Exponential function
F-test
Fecundity
Fertility
Forecasting
Gamma distribution
Goodness of fit
Group selection
Inbreeding
Inference
Larva
Likelihood function
Linear regression
Linkage disequilibrium
Logistic function
Logistic map
Longevity
Lotka-Volterra equations
Lucilia cuprina
Lyapunov exponent
Metapopulation
Model organism
Model selection
Natural selection
Normal distribution
Outcome (probability)
P-value
Population
Population cycle
Population dynamics
Population ecology
Population growth
Population process
Population size
Post hoc analysis
Prediction
Predictive power
Probability
Probability density function
Probability distribution
Pupa
Quantitative trait locus
Residual sum of squares
Result
Sampling (statistics)
Standard deviation
Stationary distribution
Statistical population
Strong inference
Structural stability
Product details
- ISBN 9780691007335
- Weight: 369g
- Dimensions: 140 x 216mm
- Publication Date: 12 Nov 2000
- Publisher: Princeton University Press
- Publication City/Country: US
- Product Form: Paperback
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Throughout the twentieth century, biologists investigated the mechanisms that stabilize biological populations, populations which--if unchecked by such agencies as competition and predation--should grow geometrically. How is order in nature maintained in the face of the seemingly disorderly struggle for existence? In this book, Laurence Mueller and Amitabh Joshi examine current theories of population stability and show how recent laboratory research on model populations--particularly blowflies, Tribolium, and Drosophila--contributes to our understanding of population dynamics and the evolution of stability. The authors review the general theory of population stability and critically analyze techniques for inferring whether a given population is in balance or not. They then show how rigorous empirical research can reveal both the proximal causes of stability (how populations are regulated and maintained at an equilibrium, including the relative roles of biotic and abiotic factors) and its ultimate, mostly evolutionary causes.
In the process, they describe experimental studies on model systems that address the effects of age-structure, inbreeding, resource levels, and population structure on the stability and persistence of populations. The discussion incorporates the authors' own findings on the evolution of population stability in Drosophila. They go on to relate laboratory work to studies of animals in the wild and to develop a general framework for relating the life history and ecology of a species to its population dynamics. This accessible, finely written illustration of how carefully designed experiments can improve theory will have tremendous value for all ecologists and evolutionary biologists.
Laurence D. Mueller is Professor of Ecology and Evolutionary Biology at the University of California, Irvine. He has published extensively on stability, life-history evolution, and the evolution of aging. Amitabh Joshi is a Faculty Fellow in the Evolutionary and Organismal Biology Unit of the Jawaharlal Nehru Centre for Advanced Scientific Research in Bangalore, India. His current research interests are in life-history evolution, the evolution of ecological specialization, the evolutionary genetics of circadian organization, and small population and metapopulation dynamics.
