e-journal

Hierarchical spatial capture–recapture models:modelling population density in stratified populations

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1. Capture–recapture studies are often conducted on populations that are stratified by space, time or other factors.
In this paper, we develop a Bayesian spatial capture–recapture (SCR) modelling framework for stratified
populations – when sampling occurs within multiple distinct spatial and temporal strata.
2. We describe a hierarchical model that integrates distinct models for both the spatial encounter history data
from capture–recapture sampling, and also for modelling variation in density among strata. We use an implementation
of data augmentation to parameterize the model in terms of a latent categorical stratum or group
membership variable, which provides a convenient implementation in popular BUGS software packages.
3. We provide an example application to an experimental study involving small-mammal sampling onmultiple
trapping grids over multiple years, where the main interest is in modelling a treatment effect on population
density among the trapping grids.
4. Many capture–recapture studies involve some aspect of spatial or temporal replication that requires some
attention to modelling variation among groups or strata. We propose a hierarchical model that allows explicit
modelling of group or strata effects. Because the model is formulated for individual encounter histories and is
easily implemented in the BUGS language and other free software, it also provides a general framework for
modelling individual effects, such as are present in SCRmodels.

Key-words: Bayesian analysis, data augmentation, density estimation, small-mammal trapping,
spatial capture–recapture

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Ketersediaan

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Informasi Detail

Judul Seri

Methods in Ecology and Evolution

No. Panggil

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Penerbit

: German Botanical Society and The Royal Botanical Society of the Netherlands., 2014

Deskripsi Fisik

Methods in Ecology and Evolution 2014, 5, 37–43

Bahasa

English

ISBN/ISSN

doi: 10.1111/2041-21

Klasifikasi

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Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

BIOLOGI

Info Detail Spesifik

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Pernyataan Tanggungjawab

Wati/Agus

Versi lain/terkait

Lampiran Berkas

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