multistate capture-mark-recapture models (Animalia)

Knowledge graph centered on multistate capture-mark-recapture models (Animalia) with 68 nodes and 143 connections. Top connected: Rocky Mountain Biological Laboratory, Gothic, Marmota, Yellow-bellied Marmot, Crested Butte.

Method synopsis

Statistical modeling of capture-recapture data to estimate seasonal survival probabilities across age classes using program MARK with model selection via AICc.

Synthesized from method descriptions across 2 papers using this protocol.

Procedure from a recent peer-reviewed implementation

Steps below were extracted from the most recent peer-reviewed implementation of this protocol in the corpus — Contrasting effects of climate change on seasonal survival of a hibernating mammal. (2020), Proceedings of the National Academy of the United States. Implementations in other papers (listed below) may differ.

1. Multistate mark-recapture modeling
   Constructed capture-mark-recapture models using program MARK with individuals split into summer (May-August) and winter (September-April) seasons. Models estimated monthly survival probabilities with state transitions between age classes. Used AICc model selection to identify best-fitting models.
   Quantities: Monthly survival estimates across 4-month summer and 8-month winter periods, three age classes (pup, yearling, adult)Duration: Models covered full 40-year dataset from 1979-2018Conditions: Separate modeling for active and hibernation seasons
   Equipment: program MARK software, R statistical software

Typical Equipment

• program MARK software
• R statistical software

Output Measurements

• monthly survival probability
• capture probability
• recapture probability

Papers Using This Protocol (2)

Species Studied With This Protocol

Places Where Used