Semantic Scholar Open Access 2020 477 sitasi

Population Biology

Fernando Monroy Manuel Aira Jorge Domínguez A. Velando P. Buser

Lihat Sumber DOI

Abstrak

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). ©

Penulis (5)

Fernando Monroy

Manuel Aira

Jorge Domínguez

A. Velando

P. Buser

Format Sitasi

APA MLA BibTeX

Monroy, F., Aira, M., Domínguez, J., Velando, A., Buser, P. (2020). Population Biology. https://doi.org/10.1007/978-3-642-74474-7

Akses Cepat

Lihat di Sumber doi.org/10.1007/978-3-642-74474-7

Informasi Jurnal

Tahun Terbit: 2020
Bahasa: en
Total Sitasi: 477×
Sumber Database: Semantic Scholar
DOI: 10.1007/978-3-642-74474-7
Akses: Open Access ✓