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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Massachusetts Institute of Technology and Woods Hole Oceanographic Institution
2002
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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 |
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Woods Hole Scientific Community: WHOAS (Woods Hole Open Access Server) |
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ftwhoas |
language |
English |
topic |
Northern right whale Animal populations Population biology Sampling |
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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 |