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The population dynamics of lag phases and collapses

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TitleInfo
Title
The population dynamics of lag phases and collapses
Name (type = personal)
NamePart (type = family)
Aagaard
NamePart (type = given)
Kevin Joseph
NamePart (type = date)
1988-
DisplayForm
Kevin Aagaard
Role
RoleTerm (authority = RULIB)
author
Name (type = personal)
NamePart (type = family)
Lockwood
NamePart (type = given)
Julie L
DisplayForm
Julie L Lockwood
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
chair
Name (type = personal)
NamePart (type = family)
Fefferman
NamePart (type = given)
Nina
DisplayForm
Nina Fefferman
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
internal member
Name (type = personal)
NamePart (type = family)
Green
NamePart (type = given)
Ed J
DisplayForm
Ed J Green
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
internal member
Name (type = personal)
NamePart (type = family)
Simberloff
NamePart (type = given)
Daniel
DisplayForm
Daniel Simberloff
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
outside member
Name (type = corporate)
NamePart
Rutgers University
Role
RoleTerm (authority = RULIB)
degree grantor
Name (type = corporate)
NamePart
Graduate School - New Brunswick
Role
RoleTerm (authority = RULIB)
school
TypeOfResource
Text
Genre (authority = marcgt)
theses
OriginInfo
DateCreated (qualifier = exact)
2014
DateOther (qualifier = exact); (type = degree)
2014-10
CopyrightDate (encoding = w3cdtf)
2014
Place
PlaceTerm (type = code)
xx
Language
LanguageTerm (authority = ISO639-2b); (type = code)
eng
Abstract (type = abstract)
Exotic species and collapses of native species pose equivalently severe threats to global biodiversity and ecological health. Much work has been done to improve our understanding of the patterns and processes associated with biological invasions and population declines. However, due to the complexity of the issues posed to conservation and management, we still lack fundamental knowledge about their population dynamics. Early-action is often recommended to deal with both situations, which, as has been argued, requires minimal detail about the population biology of the target species. While this holds true in many cases, it does not justify ignoring population biology as a whole. Indeed, by analyzing data about past events we can greatly improve our ability to manage future ones. Furthermore, applying powerful tools and concepts from other disciplines can help develop expectations for general trends across taxa and systems. In this dissertation I explore statistical methods to identify and describe poorly explained population growth patterns, using both exotic and native species. I used a large, uncommonly complete database of citizen-collected data and developed efficient, robust methods to quantify population lag phases and collapses. I found lags—periods of low population growth rates relative to future growth—to be common in exotic birds in Hawaii. I found seemingly spontaneous population collapses—>90% declines in abundance within a specified timeframe—in nearly half of the populations investigated. I expand on the details of the method I developed for collapses to account for variation about important portions of any population’s growth patterns; specifically estimated maximum abundances and the duration of observed declines. I applied this method to endemic Hawaiian forest birds to display its utility and assess limitations. These results have important implications for conservation management, and yield novel conclusions about the population biology of exotic and native species. By establishing methods to classify populations experiencing lags or collapses, we can begin to develop models to anticipate their occurrence prescribe well prepared management actions and conservation strategies. With more knowledge of the spatial dynamics of exotic populations we can strategically apply targeted control measures in efficient, cost-effective ways.
Subject (authority = RUETD)
Topic
Ecology and Evolution
Subject (authority = ETD-LCSH)
Topic
Population growth
Subject (authority = ETD-LCSH)
Topic
Population biology
RelatedItem (type = host)
TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier (type = RULIB)
ETD
Identifier
ETD_5844
PhysicalDescription
Form (authority = gmd)
electronic resource
InternetMediaType
application/pdf
InternetMediaType
text/xml
Extent
1 online resource (xiii, 159 p. : ill.)
Note (type = degree)
Ph.D.
Note (type = bibliography)
Includes bibliographical references
Note (type = statement of responsibility)
by Kevin Joseph Aagaard
RelatedItem (type = host)
TitleInfo
Title
Graduate School - New Brunswick Electronic Theses and Dissertations
Identifier (type = local)
rucore19991600001
Location
PhysicalLocation (authority = marcorg); (displayLabel = Rutgers, The State University of New Jersey)
NjNbRU
Identifier (type = doi)
doi:10.7282/T3VQ314F
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
Aagaard
GivenName
Kevin
MiddleName
Joseph
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime (encoding = w3cdtf); (qualifier = exact); (point = start)
2014-09-16 08:03:40
AssociatedEntity
Name
Kevin Aagaard
Role
Copyright holder
Affiliation
Rutgers University. Graduate School - New Brunswick
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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Technical

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ContentModel
ETD
OperatingSystem (VERSION = 5.1)
windows xp
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