Fernando Monroy, Manuel Aira, Jorge Domínguez, A. Velando, P. Buser
2009.3.1Industrial Biotechnology
tlooto Summary
Vertebrate population dynamics has strongly benefited from this progress: survival estimates have been revised up-wards, trade-offs between life history traits have been demonstrated, analyses of population viability and management are more and more realistic.
Abstract
Population dynamics methodology now powerfully combines discrete time models (with constant parameters, density dependence, random environment, and/or demographic stochasticity) and capture–recapture models for estimating demographic parameters. Vertebrate population dynamics has strongly benefited from this progress: survival estimates have been revised up-wards, trade-offs between life history traits have been demonstrated, analyses of population viability and management are more and more realistic. Promising developments concern random effects, multistate and integrated models. Some biological questions (density dependence, links between individual and population levels, and diversification of life histories) can now be efficiently attacked. To cite this article: J.-D. Lebreton, C. R. Biologies 329 (2006). ©
Citation format
MONROY, Fernando, et al. Calendar: Industry events. Industrial Biotechnology, 2009, 5: 12–18.