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Integrated population models : theory and ecological applications with R and JAGS /

Integrated Population Models: Theory and Ecological Applications with R and JAGS is the first book on integrated population models, which constitute a powerful framework for combining multiple data sets from the population and the individual levels to estimate demographic parameters, and population...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Schaub, Michael (Ecologist) (Autor), K�ery, Marc (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London, United Kingdom : Elsevier Academic Press, [2022]
Temas:
Acceso en línea:Texto completo

MARC

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020 |z 9780323908108 
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050 4 |a HB849.65  |b .S35 2022 
082 0 4 |a 304.6015118  |2 23 
100 1 |a Schaub, Michael  |c (Ecologist),  |e author. 
245 1 0 |a Integrated population models :  |b theory and ecological applications with R and JAGS /  |c Michael Schaub and Marc K�ery. 
264 1 |a London, United Kingdom :  |b Elsevier Academic Press,  |c [2022] 
264 4 |c �2022 
300 |a 1 online resource (1 volume) :  |b chiefly color illustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
520 |a Integrated Population Models: Theory and Ecological Applications with R and JAGS is the first book on integrated population models, which constitute a powerful framework for combining multiple data sets from the population and the individual levels to estimate demographic parameters, and population size and trends. These models identify drivers of population dynamics and forecast the composition and trajectory of a population. Written by two population ecologists with expertise on integrated population modeling, this book provides a comprehensive synthesis of the relevant theory of integrated population models with an extensive overview of practical applications, using Bayesian methods by means of case studies. The book contains fully-documented, complete code for fitting all models in the free software, R and JAGS. It also includes all required code for pre- and post-model-fitting analysis. Integrated Population Models is an invaluable reference for researchers and practitioners involved in population analysis, and for graduate-level students in ecology, conservation biology, wildlife management, and related fields. The text is ideal for self-study and advanced graduate-level courses. 
588 0 |a Print version record. 
505 0 |a Part 1: Theory of integrated population models: Introduction -- Bayesian statistical modeling using JAGS -- Introduction to stage-structured population models -- Components of integrated population models -- Introduction to integrated population models -- Benefits of integrated population modeling -- Assessment of integrated population models -- Integrated population models with density dependence -- Retrospective population analyses -- Population viability analysis. -- Part 2: Integrated population models in practice: Woodchat shrike -- Peregrine falcon -- Horseshoe bat -- Hoopoe -- Black grouse -- Barn swallow -- Elk -- Cormorant -- Gray catbird -- Kestrel -- Black bear -- Conclusions. 
504 |a Includes bibliographical references (pages 565-592) and index. 
650 0 |a Population  |x Data processing. 
650 0 |a Population  |x Mathematical models. 
650 0 |a Population biology  |x Computer simulation. 
650 0 |a R (Computer program language) 
650 6 |a Biologie des populations  |0 (CaQQLa)201-0062278  |x Simulation par ordinateur.  |0 (CaQQLa)201-0379159 
650 6 |a R (Langage de programmation)  |0 (CaQQLa)201-0368319 
650 7 |a Population biology  |x Computer simulation  |2 fast  |0 (OCoLC)fst01071534 
650 7 |a Population  |x Data processing  |2 fast  |0 (OCoLC)fst01071479 
650 7 |a Population  |x Mathematical models  |2 fast  |0 (OCoLC)fst01071501 
650 7 |a R (Computer program language)  |2 fast  |0 (OCoLC)fst01086207 
700 1 |a K�ery, Marc,  |e author. 
776 0 8 |i Print version:  |a KERY, MARC.  |t INTEGRATED POPULATION MODELS.  |d [Place of publication not identified] : ELSEVIER ACADEMIC PRESS, 2021  |z 0323908101  |w (OCoLC)1237100917 
856 4 0 |u https://sciencedirect.uam.elogim.com/science/book/9780323908108  |z Texto completo