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Modeling Aquatic Macroinvertebrate Richness Using Landscape Attributes

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TypeOfResource
Text
TitleInfo
Title
Modeling Aquatic Macroinvertebrate Richness Using Landscape Attributes
Name (authority = orcid); (authorityURI = http://id.loc.gov/vocabulary/identifiers/orcid.html); (type = personal); (valueURI = http://orcid.org/0000-0002-6446-7385)
NamePart (type = family)
Meixler
NamePart (type = given)
Marcia S.
Affiliation
Ecology, Evolution and Natural Resources, Rutgers University
Role
RoleTerm (authority = marcrt); (type = text)
author
Name (type = personal)
NamePart (type = family)
Bain
NamePart (type = given)
Mark B.
Affiliation
Ecology, Evolution and Natural Resources, Rutgers University
Role
RoleTerm (authority = marcrt); (type = text)
author
Name (authority = RutgersOrg-Department); (type = corporate)
NamePart
Ecology, Evolution and Natural Resources
Name (authority = RutgersOrg-School); (type = corporate)
NamePart
School of Environmental and Biological Sciences (SEBS)
Genre (authority = RULIB-FS)
Article, Refereed
Genre (authority = NISO JAV)
Version of Record (VoR)
OriginInfo
DateIssued (encoding = w3cdtf); (keyDate = yes); (qualifier = exact)
2015
PhysicalDescription
InternetMediaType
application/pdf
Extent
14 p.
Language
LanguageTerm (authority = ISO 639-3:2007); (type = text)
English
Note (type = peerReview)
Peer reviewed
Extension
DescriptiveEvent
Type
Citation
DateTime (encoding = w3cdtf)
2015
AssociatedObject
Type
Journal
Relationship
Has part
Name
International Journal of Ecology
Identifier (type = volume and issue)
2015(926526)
Reference (type = url)
https://dx.doi.org/10.1155/2015/926526
Detail
1-14
Abstract (type = abstract)
We used a rapid, repeatable, and inexpensive geographic information system (GIS) approach to predict aquatic macroinvertebrate family richness using the landscape attributes stream gradient, riparian forest cover, and water quality. Stream segments in the Allegheny River basin were classified into eight habitat classes using these three landscape attributes. Biological databases linking macroinvertebrate families with habitat classes were developed using life habits, feeding guilds, and water quality preferences and tolerances for each family. The biological databases provided a link between fauna and habitat enabling estimation of family composition in each habitat class and hence richness predictions for each stream segment. No difference was detected between field collected and modeled predictions of macroinvertebrate families in a paired t-test. Further, predicted stream gradient, riparian forest cover, and total phosphorus, total nitrogen, and suspended sediment classifications matched observed classifications much more often than by chance alone. High gradient streams with forested riparian zones and good water quality were predicted to have the greatest macroinvertebrate family richness and changes in water quality were predicted to have the greatest impact on richness. Our findings indicate that our model can provide meaningful landscape scale macroinvertebrate family richness predictions from widely available data for use in focusing conservation planning efforts.
Subject (authority = LCSH)
Topic
Aquatic biodiversity
Subject (authority = LCSH)
Topic
Geographic information systems--Mathematical models
RelatedItem (type = host)
TitleInfo
Title
Meixler, Marcia S.
Identifier (type = local)
rucore30178300001
Location
PhysicalLocation (authority = marcorg); (displayLabel = Rutgers, The State University of New Jersey)
NjNbRU
Identifier (type = doi)
doi:10.7282/T3BP04RM
Genre (authority = ExL-Esploro)
Journal Article
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RightsDeclaration (AUTHORITY = FS); (ID = rulibRdec0004)
Copyright for scholarly resources published in RUcore is retained by the copyright holder. By virtue of its appearance in this open access medium, you are free to use this resource, with proper attribution, in educational and other non-commercial settings. Other uses, such as reproduction or republication, may require the permission of the copyright holder.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
RightsEvent
Type
Permission or license
AssociatedObject
Type
License
Name
Multiple author license v. 1
Detail
I hereby grant to Rutgers, The State University of New Jersey (Rutgers) the non-exclusive right to retain, reproduce, and distribute the deposited work (Work) in whole or in part, in and from its electronic format, without fee. This agreement does not represent a transfer of copyright to Rutgers.Rutgers may make and keep more than one copy of the Work for purposes of security, backup, preservation, and access and may migrate the Work to any medium or format for the purpose of preservation and access in the future. Rutgers will not make any alteration, other than as allowed by this agreement, to the Work.I represent and warrant to Rutgers that the Work is my original work. I also represent that the Work does not, to the best of my knowledge, infringe or violate any rights of others.I further represent and warrant that I have obtained all necessary rights to permit Rutgers to reproduce and distribute the Work and that any third-party owned content is clearly identified and acknowledged within the Work.By granting this license, I acknowledge that I have read and agreed to the terms of this agreement and all related RUcore and Rutgers policies.
RightsHolder (type = personal)
Name
FamilyName
Meixler
GivenName
Marcia
MiddleName
S.
Role
Copyright holder
RightsHolder (type = personal)
Name
FamilyName
Bain
GivenName
Mark
MiddleName
B.
Role
Copyright holder
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Technical

RULTechMD (ID = TECHNICAL1)
ContentModel
Document
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