02967nam 22007335 450 991090378780332120241031115727.03-031-64518-910.1007/978-3-031-64518-1(CKB)36443043700041(MiAaPQ)EBC31747147(Au-PeEL)EBL31747147(DE-He213)978-3-031-64518-1(EXLCZ)993644304370004120241031d2024 u| 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierBayesian Analysis of Spatially Structured Population Dynamics /by Qing Zhao1st ed. 2024.Cham :Springer International Publishing :Imprint: Springer,2024.1 online resource (396 pages)Ecological Studies, Analysis and Synthesis,2196-971X ;2533-031-64517-0 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.Ecological Studies, Analysis and Synthesis,2196-971X ;253EcologyBiometryBiotic communitiesPopulation biologyEcologyMethodologyLandscape ecologyZoologyEcologyBiostatisticsCommunity and Population EcologyEcological ModellingLandscape EcologyZoologyEcology.Biometry.Biotic communities.Population biology.EcologyMethodology.Landscape ecology.Zoology.Ecology.Biostatistics.Community and Population Ecology.Ecological Modelling.Landscape Ecology.Zoology.519.542Zhao Qing654201MiAaPQMiAaPQMiAaPQBOOK9910903787803321Bayesian Analysis of Spatially Structured Population Dynamics4273129UNINA