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Distributional change in seagrass as an ecological indicator of estuarine health for Barnegat Bay-Little Egg Harbor, New Jersey
Descriptive
TypeOfResource
Text
TitleInfo
(ID = T-1)
Title
Distributional change in seagrass as an ecological indicator of estuarine health for Barnegat Bay-Little Egg Harbor, New Jersey
Identifier
ETD_2793
Identifier
(type = hdl)
http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000056363
Language
LanguageTerm
(authority = ISO639-2);
(type = code)
eng
Genre
(authority = marcgt)
theses
Subject
(ID = SBJ-1);
(authority = RUETD)
Topic
Ecology and Evolution
Subject
(ID = SBJ-2);
(authority = ETD-LCSH)
Topic
Seagrasses--Ecology--New Jersey
Subject
(ID = SBJ-3);
(authority = lcsh/lcnaf)
Geographic
Barnegat Bay (N.J.)
Subject
(ID = SBJ-4);
(authority = lcsh/lcnaf)
Geographic
Little Egg Harbor (N.J.)
Abstract
(type = abstract)
The Barnegat Bay-Little Egg Harbor (BB-LEH) estuarine system located along the eastern shoreline of Ocean County, New Jersey contains ~ 75% of New Jersey’s known seagrass habitats (Lathrop et al, 2001). Eelgrass (Zostera marina) is the dominant species while widgeongrass (Ruppia maritima) is also common in lower salinity and shallow regions of the BB-LEH. Recent remote Sensing and in situ surveys collected prior to 2009 have indicated that seagrass habitat has contracted from historical levels (Lathrop et al 2006; Kennish et al 2007). An estuary wide survey was conducted in the summer of 2009 to measure the current extant of seagrass habitat across the BB-LEH system. To accomplish this goal aerial imagery collected in the summer of 2009 was mapped using an object oriented image analysis techniques. A technique to classify the image objects using a Cartographic and Regression Tree (CART) was compared to the manual method used by Lathrop et al. (2006) in the 2003 survey. The visual interpretation method outperformed the CART method for mapping seagrass presence vs. absence (overall accuracy of 78% automated vs. 87% manual; kappa statistic of 45% automated vs. 73% manual). The categorical values of seagrass density, when compared iii to the same validation sites, had an overall accuracy of 70% and an unweighted kappa statistic of 47% using the manual classification technique. Results of this work indicate that seagrass habitat expanded when comparing the 2003 and 2009 remote sensing surveys from 5,184 ha in 2003 to 5,253 ha in 2009. Changes in the seasonal period of image acquisition from May 4-5th in 2003 to July 7th in 2009 provide information on the location of R. maritima habitat, but also make it difficult to compare between the 2003 and 2009 imagery. Overall seagrass habitat expanded slightly across the estuary system except in areas adjacent to Barnegat Inlet. Future efforts to map seagrass habitat within the BB-LEH should pay particular attention to collect imagery during peak seasonal seagrass biomass, low tide, low wind conditions, and low water turbidity to maximize the spectral difference between seagrass and other benthic habitats.
PhysicalDescription
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electronic resource
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vi, 123 p. : ill.
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application/pdf
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text/xml
Note
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M.S.
Note
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Includes bibliographical references
Note
(type = statement of responsibility)
by Scott Myers Haag
Name
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Haag
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Scott Myers
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1978-
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author
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Scott Haag
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Lathrop
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Richard G.
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chair
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Advisory Committee
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Richard G. Lathrop
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(type = family)
Kennish
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Michael J.
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internal member
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Advisory Committee
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Michael J. Kennish
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Able
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Kenneth W.
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internal member
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Advisory Committee
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Kenneth W. Able
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Kohut
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Joshua T.
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outside member
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Advisory Committee
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Joshua T. Kohut
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NamePart
Rutgers University
Role
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degree grantor
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Graduate School - New Brunswick
Role
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school
OriginInfo
DateCreated
(qualifier = exact)
2010
DateOther
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(type = degree)
2010-10
Place
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xx
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TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier
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ETD
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Title
Graduate School - New Brunswick Electronic Theses and Dissertations
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rucore19991600001
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NjNbRU
Identifier
(type = doi)
doi:10.7282/T3542NCK
Genre
(authority = ExL-Esploro)
ETD graduate
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Rights
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(ID = rulibRdec0006)
The author owns the copyright to this work.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
RightsHolder
(ID = PRH-1);
(type = personal)
Name
FamilyName
Haag
GivenName
Scott
Role
Copyright Holder
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(AUTHORITY = rulib)
Type
Permission or license
DateTime
2010-07-30 15:03:29
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Copyright holder
Name
Scott Haag
Affiliation
Rutgers University. Graduate School - New Brunswick
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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.
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Technical
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ETD
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application/pdf
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application/x-tar
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6031360
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