Modeling Demographic Processes in Marked Populations (Environmental and Ecological Statistics). David L. Thomson, Evan G. Cooch, Michael J. Conroy.
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Much of biology can be understood in terms of demography.
ISBN-13: 978-1489979100. Much of biology can be understood in terms of demography. It is the demographic processes of birth and death which govern rates of population growth and the rates at which gene frequencies change. The analysis of demographic processes in free-living organisms is, however, far from simple. Scientists from diverse fields in biology and statistics have united to address the challenges by developing mark-recapture methods and other approaches.
Start by marking Modeling Demographic Processes in Marked Populations. Environmental and Ecological Statistics. as Want to Read: Want to Read savin. ant to Read. This book brings together biologists and statisticians in an interdisciplinary synthesis to develop new methods to overcome the most significant challenges and constraints faced by quantitative biologists seeking to model demographic rates.
The analysis of demographic processes in free-living organisms is, however, far from simple. Integration of Demographic Analyses and Decision Modeling in Support of Management of Invasive Monk Parakeets, an Urban and Agricultural Pest.
This book focuses on the 10 areas in the field where important problems in demographic analysis are being solved. Описание: This study aims to broaden the general understanding of change in organizational populations by examining the dynamics of numbers of organizations in populations.
Citation Environmental and Ecological Statistics, 2009, v. 3, p. 1099 . interaction on the subject of modeling demographic processes in marked
Citation Environmental and Ecological Statistics, 2009, v. 1099-. processes in marked animal populations (Senar, Dhondt & Conroy 2004, Morgan. amp; Thomson 2002, Baillie, North & Gosler 1999, North & Nichols 1995, Lebreton. amp; North 1993, North 1987, Morgan & North 1984). interaction on the subject of modeling demographic processes in marked. populations, and it was through this medium that we tried to reach all involved in. this field with a view to airing views and reaching consensus.
Thomson, David L. and Conroy, Michael J. and Anderson, David R. and Burnham, Kenneth P. and Cooch, Evan G. . Springer, New York, pp. 1099-1106. ISBN 978-0-387-78150-1. and Francis, Charles M. and Lebreton, Jean-Dominique and Lindberg, Mark S. and Morgan, Byron J. T. and Otis, David L. and White, Gary C. (2008) Standardising terminology and notation for the analysis of demographic processes in marked populations. In: Thomson, David L. and Conroy, Michael . eds. Modelling Demographic Processes in Marked Populations.
Populations of red deer that are limited by food, like those of many other ungulates1,2,3, commonly include more females . Modeling demographic processes in marked populations.
Populations of red deer that are limited by food, like those of many other ungulates1,2,3, commonly include more females than males4,5,6,7. We assessed the contribution of variation in sex- an. More). Population Dynamics - Growth, Density-Dependence and Decomposing . Bayesian Hierarchical Models for Inference About Population Growth. Assessing Density-Dependence: Where Are We Left?.
David L Thomson, Evan G. Environmental and Ecological Statistics Composite Sampling 183-207. Environmental samples are most often collected at sites and therefore cannot be considered stochastically independent of one another. There is a common underlying contamination diffusion process that affects all samples, possibly in varying degrees. As a consequence, the samples collected at a particular site can be viewed as a realization of the corresponding spatial point process.
The journal is concerned with the use of mathematical models and systems analysis for the description of ecological processes and for the sustainable management of resources. Human activity and well-being are dependent on and integrated with the functioning of ecosystems and the services they provide. We aim to understand these basic ecosystem functions using mathematical and conceptual modelling, systems analysis, thermodynamics, computer simulations, and ecological theory.