03081nam a22006135i 4500 978-3-031-64518-1 DE-He213 20251030113252.0 cr nn 008mamaa 241031s2024 sz | s |||| 0|eng d 9783031645181 978-3-031-64518-1 10.1007/978-3-031-64518-1 doi QH540-549.5 PSAF bicssc SCI020000 bisacsh PSAF thema Zhao, Qing. author. (orcid)0000-0003-2759-1114 https://orcid.org/0000-0003-2759-1114 aut http://id.loc.gov/vocabulary/relators/aut 86840 Bayesian Analysis of Spatially Structured Population Dynamics [electronic resource] / by Qing Zhao. 1st ed. 2024. Cham : Springer International Publishing : Imprint: Springer, 2024. XVI, 386 p. 58 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Ecological Studies, Analysis and Synthesis, 2196-971X ; 253 Chapter 1: Background -- Chapter 2: Occupancy Models -- Chapter 3: N-mixture models -- Chapter 4: Integrated population models (IPMs) -- Chapter 5: Spatial capture-recapture (SCR) models -- Chapter 6: Summary and outlook. The book introduces a series of state-of-art Bayesian models that can be used to understand and predict spatially structured population dynamics in our changing world. Several chapters are devoted to introducing models that utilize detection/non-detection data, count data, combined count and capture-recapture data, and spatial capture-recapture data, respectively. The book provides R code of Metropolis-Hastings algorithms that allow efficient computing of these complex models. The book is aimed at graduate students and researchers who are interested in using and further developing these models. Ecology . 68629 Biometry. 65981 Biotic communities. 68627 Population biology. 72060 Ecology Methodology. 74095 Landscape ecology. Zoology. 69024 Ecology. 68629 Biostatistics. 65985 Community and Population Ecology. 73779 Ecological Modelling. 74096 Landscape Ecology. Zoology. 69024 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031645174 Printed edition: 9783031645198 Ecological Studies, Analysis and Synthesis, 2196-971X ; 253 69030 https://doi.org/10.1007/978-3-031-64518-1 ZDB-2-SBL ZDB-2-SXB 64618 64618