Mark-Recapture Statistics and Demographic Analysis

Abstract

Mark-recapture analyses of populations are an important tool in population biology. In this thesis, I extend mark-recapture analyses to provide a link between mark-recapture data and demographic models such as matrix population models and integrodifference equation models. I resolve some issues that are commonly encountered during sampling, such as the fact that the sex or life-stage of some individuals is unknown during some sampling occasions and that individuals become unobservable during some life stages. I introduce a stage structure that permits simple conversion of estimated transition probabilities into a matrix population model. I describe a simple algorithm to simplify programming for parameter estimation. I also introduce a method to estimate the distribution of dispersal displacements (dispersal kernel) from mark-recapture data. I use some of the above methods to estimate the vital rates of the North Atlantic right whale (Eubalaena glacialis). To the estimated vital rates, I apply demographic analyses including population viability analyses and sensitivity analysis. Finally, I compare effects of environmental and demographic stochasticities on the viability of the population.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2002
Accession Number
ADA408895

Entities

People

  • Masami Fujiwara

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Animals
  • Birds
  • Climate Change
  • Demography
  • Habitats
  • New England
  • Oceanography
  • Probability Distributions
  • Random Variables
  • Two Dimensional
  • United States
  • Wildlife

Fields of Study

  • Mathematics

Readers

  • Computational Modeling and Simulation
  • Marine Mammal Biology
  • Statistical inference.