Mark-recapture statistics and demographic analysis

Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy at the Massachusetts Institute of Technology and the Woods Hole Oceanographic Institution June 2002 Mark-recapture analysis of populations is becoming an important tool in population biology. Mark-recapture m...

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Main Author: Fujiwara, Masami
Format: Thesis
Language:English
Published: Massachusetts Institute of Technology and Woods Hole Oceanographic Institution 2002
Subjects:
Online Access:https://hdl.handle.net/1912/2600
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spelling ftwhoas:oai:darchive.mblwhoilibrary.org:1912/2600 2023-05-15T16:08:19+02:00 Mark-recapture statistics and demographic analysis Fujiwara, Masami 2002-06 application/pdf https://hdl.handle.net/1912/2600 en_US eng Massachusetts Institute of Technology and Woods Hole Oceanographic Institution WHOI Theses https://hdl.handle.net/1912/2600 doi:10.1575/1912/2600 doi:10.1575/1912/2600 Northern right whale Animal populations Population biology Sampling Thesis 2002 ftwhoas https://doi.org/10.1575/1912/2600 2022-05-28T22:57:40Z Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy at the Massachusetts Institute of Technology and the Woods Hole Oceanographic Institution June 2002 Mark-recapture analysis of populations is becoming an important tool in population biology. Mark-recapture methods can be used to estimate transition probabilities among life-stages from capture histories of marked individuals for which stages can be determined at each sampling occasion. This method is called a multi-stage mark-recapture (MSMR) method. In this thesis, I describe advances I made in the MSMR method and present analyses that apply this method to actual data. The advances I made in the MSMR method are motivated by a need to provide a link between mark-recapture data and demographic models such as matrix population models and integrodifference 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 an algorithm to simplify programming for parameter estimation. I also introduce a method to estimate the distribution of dispersal displacements (a dispersal kernel) from mark-recapture data. I apply some of the methods described above to data of the North Atlantic right whale (Eubalaena glacialis) The right whales are considered one of the most endangered mammals. The current population size is about 300 in the northwestern Atlantic, and the number is declining. I applied the multi-stage mark-recapture statistics to the 17-year individual sighting history data. Using the estimated transition probabilities, I constructed a population projection matrix, which was used for further demographic analyses. I found that the population was slowly increasing in 1980, but it started to decline ... Thesis Eubalaena glacialis North Atlantic North Atlantic right whale Woods Hole Scientific Community: WHOAS (Woods Hole Open Access Server) Woods Hole, MA
institution Open Polar
collection Woods Hole Scientific Community: WHOAS (Woods Hole Open Access Server)
op_collection_id ftwhoas
language English
topic Northern right whale
Animal populations
Population biology
Sampling
spellingShingle Northern right whale
Animal populations
Population biology
Sampling
Fujiwara, Masami
Mark-recapture statistics and demographic analysis
topic_facet Northern right whale
Animal populations
Population biology
Sampling
description Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy at the Massachusetts Institute of Technology and the Woods Hole Oceanographic Institution June 2002 Mark-recapture analysis of populations is becoming an important tool in population biology. Mark-recapture methods can be used to estimate transition probabilities among life-stages from capture histories of marked individuals for which stages can be determined at each sampling occasion. This method is called a multi-stage mark-recapture (MSMR) method. In this thesis, I describe advances I made in the MSMR method and present analyses that apply this method to actual data. The advances I made in the MSMR method are motivated by a need to provide a link between mark-recapture data and demographic models such as matrix population models and integrodifference 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 an algorithm to simplify programming for parameter estimation. I also introduce a method to estimate the distribution of dispersal displacements (a dispersal kernel) from mark-recapture data. I apply some of the methods described above to data of the North Atlantic right whale (Eubalaena glacialis) The right whales are considered one of the most endangered mammals. The current population size is about 300 in the northwestern Atlantic, and the number is declining. I applied the multi-stage mark-recapture statistics to the 17-year individual sighting history data. Using the estimated transition probabilities, I constructed a population projection matrix, which was used for further demographic analyses. I found that the population was slowly increasing in 1980, but it started to decline ...
format Thesis
author Fujiwara, Masami
author_facet Fujiwara, Masami
author_sort Fujiwara, Masami
title Mark-recapture statistics and demographic analysis
title_short Mark-recapture statistics and demographic analysis
title_full Mark-recapture statistics and demographic analysis
title_fullStr Mark-recapture statistics and demographic analysis
title_full_unstemmed Mark-recapture statistics and demographic analysis
title_sort mark-recapture statistics and demographic analysis
publisher Massachusetts Institute of Technology and Woods Hole Oceanographic Institution
publishDate 2002
url https://hdl.handle.net/1912/2600
genre Eubalaena glacialis
North Atlantic
North Atlantic right whale
genre_facet Eubalaena glacialis
North Atlantic
North Atlantic right whale
op_source doi:10.1575/1912/2600
op_relation WHOI Theses
https://hdl.handle.net/1912/2600
doi:10.1575/1912/2600
op_doi https://doi.org/10.1575/1912/2600
op_publisher_place Woods Hole, MA
_version_ 1766404385633468416