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Extinction risk from habitat fragmentation using metapopulation-based metrics
Descriptive
TitleInfo
Title
Extinction risk from habitat fragmentation using metapopulation-based metrics
Name
(type = personal)
NamePart
(type = family)
Schnell
NamePart
(type = given)
Jessica K.
NamePart
(type = date)
1984-
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Jessica Schnell
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(authority = RULIB)
author
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Bonder
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Edward
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Edward Bonder
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Advisory Committee
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chair
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Bonder
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Edward M.
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Edward M. Bonder
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Advisory Committee
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chair
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NamePart
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Russell
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Gareth J.
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Gareth J. Russell
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Advisory Committee
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internal member
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Holzapfel
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Claus
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Claus Holzapfel
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Advisory Committee
Role
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internal member
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Bunker
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Daniel
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Daniel Bunker
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Advisory Committee
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internal member
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Bunker
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Daniel E.
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Daniel E. Bunker
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Advisory Committee
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internal member
Name
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(type = family)
Pimm
NamePart
(type = given)
Stuart L.
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Stuart L. Pimm
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Advisory Committee
Role
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(authority = RULIB)
outside member
Name
(type = personal)
NamePart
(type = family)
Lockwood
NamePart
(type = given)
Julie
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Julie Lockwood
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Advisory Committee
Role
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(authority = RULIB)
outside member
Name
(type = personal)
NamePart
(type = family)
Lockwood
NamePart
(type = given)
Julie L.
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Julie L. Lockwood
Affiliation
Advisory Committee
Role
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(authority = RULIB)
outside member
Name
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NamePart
Rutgers University
Role
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(authority = RULIB)
degree grantor
Name
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NamePart
Graduate School - Newark
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school
TypeOfResource
Text
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theses
OriginInfo
DateCreated
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2012
DateOther
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(type = degree)
2012-10
CopyrightDate
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2012
Place
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xx
Language
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(type = code)
eng
Abstract
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The world is becoming more developed as the human population steadily grows. With the increase in human influence, anthropomorphic habitat loss will only increase over time. Habitat fragmentation is the leading threat to species globally. Assessing fragmentation and determining sites of the most critical regions is vitally important for conservation efforts. One way of assessing fragmentation is by relating the spatial aspect to the biological aspect, via metapopulation dynamics. Specifically, metapopulation capacity allows for relative valuation of fragmented landscapes. However, a modification is required for it to operate at large-scale landscapes. The modified metric enables relative quantification value of fragmented habitat, with biological relevance for long-term extinction risk. Using the same spatially explicit components of metapopulation theory, we can also create a short-term measure of extinction risk, based on the instantaneous rate of expected decline post-fragmentation. This metric, extrapolated persistence time, along with the modified metapopulation capacity metric, can then be used in a variety of ways to determine high risk species and regions. Given that bird species are capable of an assortment of dispersal abilities, focusing within phylogenetic groups allows for more relevant comparisons between species. With the use of slopegraphs, we can instantly determine those species, within their families, with remaining ranges that have extremely low relative values for long or short term extinction risk. Of particular concern are those species considered to be at low risk of threat by the IUCN Red List, yet possess habitats that are critically fragmented. The metrics can be utilized in estimating overall landscape value, and estimating the contribution of specific patches to the overall landscape value; this would be useful in preservation and management decisions. Finally, by focusing on those cells that connect large patches, we can determine where restoration of habitat should be prioritized, for anything from the greatest increase in metapopulation capacity to the most number of species with ranges that could be reconnected.
Subject
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Topic
Biology
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Title
Rutgers University Electronic Theses and Dissertations
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ETD
Identifier
ETD_4220
PhysicalDescription
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electronic resource
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application/pdf
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text/xml
Extent
xiii, 79 p. : ill.
Note
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Ph.D.
Note
(type = bibliography)
Includes bibliographical references
Note
(type = vita)
Includes vita
Note
(type = statement of responsibility)
by Jessica K. Schnell
Subject
(authority = ETD-LCSH)
Topic
Fragmented landscapes
Subject
(authority = ETD-LCSH)
Topic
Extinction (Biology)
Identifier
(type = hdl)
http://hdl.rutgers.edu/1782.1/rucore10002600001.ETD.000066586
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Title
Graduate School - Newark Electronic Theses and Dissertations
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rucore10002600001
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(displayLabel = Rutgers, The State University of New Jersey)
NjNbRU
Identifier
(type = doi)
doi:10.7282/T35719TX
Genre
(authority = ExL-Esploro)
ETD doctoral
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Rights
RightsDeclaration
(ID = rulibRdec0006)
The author owns the copyright to this work.
RightsHolder
(type = personal)
Name
FamilyName
Schnell
GivenName
Jessica
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime
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(qualifier = exact);
(point = start)
2012-10-01 07:58:02
AssociatedEntity
Name
Jessica Schnell
Role
Copyright holder
Affiliation
Rutgers University. Graduate School - Newark
AssociatedObject
Type
License
Name
Author Agreement License
Detail
I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
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