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A Novel Hierarchical Multinomial Approach to Modeling Age-Specific Harvest Data

In: Quantitative Methods in Environmental and Climate Research

Author

Listed:
  • Khurram Nadeem

    (Acadia University)

  • Entao Chen

    (Acadia University)

  • Ying Zhang

    (Acadia University)

Abstract

We develop a hierarchical Leslie matrix modeling framework to model age-specific harvest data for estimating age proportions of animal populations. As our methodology avoids expensive radiotelemetry studies, we argue through simulation and case studies that it provides a flexible modeling alternative to analysing age-specific harvest data for effective wildlife management.

Suggested Citation

  • Khurram Nadeem & Entao Chen & Ying Zhang, 2018. "A Novel Hierarchical Multinomial Approach to Modeling Age-Specific Harvest Data," Springer Books, in: Michela Cameletti & Francesco Finazzi (ed.), Quantitative Methods in Environmental and Climate Research, pages 29-48, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-01584-8_2
    DOI: 10.1007/978-3-030-01584-8_2
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