Mark-recapture statistics and demographic analysis
Thesis (Ph.D.)--Joint Program in Oceanography/Applied Ocean Science and Engineering (Massachusetts Institute of Technology, Dept. of Biology, and the Woods Hole Oceanographic Institution), 2002. Includes bibliographical references (p. 130-138). Mark-recapture analysis of populations is becoming an i...
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ftmit:oai:dspace.mit.edu:1721.1/29057 2023-06-11T04:11:30+02:00 Mark-recapture statistics and demographic analysis Fujiwara, Masami, 1970- Hal Caswell. Woods Hole Oceanographic Institution. Joint Program in Oceanography/Applied Ocean Science and Engineering Woods Hole Oceanographic Institution Massachusetts Institute of Technology. Department of Biology Massachusetts Institute of Technology. Department of Ocean Engineering 2002 138 leaves 8669980 bytes 8669739 bytes application/pdf http://hdl.handle.net/1721.1/29057 eng eng Massachusetts Institute of Technology http://hdl.handle.net/1721.1/29057 50573857 M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 /Woods Hole Oceanographic Institution. Joint Program in Oceanography/Applied Ocean Science and Engineering Biology Woods Hole Oceanographic Institution Thesis 2002 ftmit 2023-05-29T08:32:04Z Thesis (Ph.D.)--Joint Program in Oceanography/Applied Ocean Science and Engineering (Massachusetts Institute of Technology, Dept. of Biology, and the Woods Hole Oceanographic Institution), 2002. Includes bibliographical references (p. 130-138). 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 in- dividual sighting history data. (cont.) Using the estimated transition probabilities, I constructed a population projection matrix, which was used for further demographic analyses. I found that the ... Thesis Eubalaena glacialis North Atlantic North Atlantic right whale DSpace@MIT (Massachusetts Institute of Technology) |
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/Woods Hole Oceanographic Institution. Joint Program in Oceanography/Applied Ocean Science and Engineering Biology Woods Hole Oceanographic Institution |
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/Woods Hole Oceanographic Institution. Joint Program in Oceanography/Applied Ocean Science and Engineering Biology Woods Hole Oceanographic Institution Fujiwara, Masami, 1970- Mark-recapture statistics and demographic analysis |
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/Woods Hole Oceanographic Institution. Joint Program in Oceanography/Applied Ocean Science and Engineering Biology Woods Hole Oceanographic Institution |
description |
Thesis (Ph.D.)--Joint Program in Oceanography/Applied Ocean Science and Engineering (Massachusetts Institute of Technology, Dept. of Biology, and the Woods Hole Oceanographic Institution), 2002. Includes bibliographical references (p. 130-138). 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 in- dividual sighting history data. (cont.) Using the estimated transition probabilities, I constructed a population projection matrix, which was used for further demographic analyses. I found that the ... |
author2 |
Hal Caswell. Woods Hole Oceanographic Institution. Joint Program in Oceanography/Applied Ocean Science and Engineering Woods Hole Oceanographic Institution Massachusetts Institute of Technology. Department of Biology Massachusetts Institute of Technology. Department of Ocean Engineering |
format |
Thesis |
author |
Fujiwara, Masami, 1970- |
author_facet |
Fujiwara, Masami, 1970- |
author_sort |
Fujiwara, Masami, 1970- |
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 |
publishDate |
2002 |
url |
http://hdl.handle.net/1721.1/29057 |
genre |
Eubalaena glacialis North Atlantic North Atlantic right whale |
genre_facet |
Eubalaena glacialis North Atlantic North Atlantic right whale |
op_relation |
http://hdl.handle.net/1721.1/29057 50573857 |
op_rights |
M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 |
_version_ |
1768386624973963264 |