Ontology type: schema:ScholarlyArticle
2018-12
AUTHORSEric A. Lewallen, Andre J. van Wijnen, Carolina A. Bonin, Nathan R. Lovejoy
ABSTRACTFlyingfishes are large enough to eat zooplankton, small enough to be consumed by top predators, and therefore form a central mid-trophic component of tropical epipelagic marine food webs. Characterizing patterns of flyingfish abundance, distribution, and habitat preference have important implications for understanding both localized and generalized functions of marine ecosystems. The eastern tropical Pacific Ocean (ETP) supports many flyingfish species and their predators, yet no studies to date have identified oceanographic factors that define flyingfish habitats or estimate species richness and diversity at broad taxonomic and geographic scales. In this study, we analyzed 11,125 flyingfish representing 25 species and all 7 named genera, collected from the ETP over a 21-year period. We applied spatially-explicit analysis methods (ARCGIS, DIVA-GIS, MAXENT) and compared specimen locality data to remotely-sensed oceanographic data, and previously described oceanographic partitions. Our results show that Exocoetus is the most abundant genus (49%), and E. monocirrhus the most abundant species (32%) of flyingfishes in the ETP. Mean sea surface temperature was most important for defining flyingfish habitats (19.2-41.7%) and species richness (highest in the North Equatorial Current). Additionally, flyingfish species diversity was found to be highest in coastal regions of the study area (Shannon indices > 1.5). Together, these results provide unprecedented characterizations of a mid-trophic epipelagic community in an economically valuable region during a time when sea surface temperatures are predicted to increase as a result of global climate change. More... »
PAGES1755-1765
http://scigraph.springernature.com/pub.10.1007/s12526-017-0666-7
DOIhttp://dx.doi.org/10.1007/s12526-017-0666-7
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1084035453
PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/30505355
JSON-LD is the canonical representation for SciGraph data.
TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT
[
{
"@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json",
"about": [
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0602",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Ecology",
"type": "DefinedTerm"
},
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/06",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Biological Sciences",
"type": "DefinedTerm"
}
],
"author": [
{
"affiliation": {
"alternateName": "Mayo Clinic",
"id": "https://www.grid.ac/institutes/grid.66875.3a",
"name": [
"Department of Biological Sciences, University of Toronto Scarborough, Toronto, ON, Canada",
"Departments of Biochemistry & Molecular Biology and Orthopedic Surgery, Mayo Clinic, Rochester, MN, USA"
],
"type": "Organization"
},
"familyName": "Lewallen",
"givenName": "Eric A.",
"id": "sg:person.01201766170.01",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01201766170.01"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Mayo Clinic",
"id": "https://www.grid.ac/institutes/grid.66875.3a",
"name": [
"Departments of Biochemistry & Molecular Biology and Orthopedic Surgery, Mayo Clinic, Rochester, MN, USA"
],
"type": "Organization"
},
"familyName": "van Wijnen",
"givenName": "Andre J.",
"id": "sg:person.01254430117.14",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01254430117.14"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "University of St. Thomas",
"id": "https://www.grid.ac/institutes/grid.267207.6",
"name": [
"University of St. Thomas, St. Paul, MN, USA"
],
"type": "Organization"
},
"familyName": "Bonin",
"givenName": "Carolina A.",
"id": "sg:person.01243332053.78",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01243332053.78"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "University of Toronto",
"id": "https://www.grid.ac/institutes/grid.17063.33",
"name": [
"Department of Biological Sciences, University of Toronto Scarborough, Toronto, ON, Canada"
],
"type": "Organization"
},
"familyName": "Lovejoy",
"givenName": "Nathan R.",
"id": "sg:person.0617652665.34",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0617652665.34"
],
"type": "Person"
}
],
"citation": [
{
"id": "https://doi.org/10.1111/j.0906-7590.2008.5203.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1002196261"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1046/j.1523-1739.1993.740760.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1002774279"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1146/annurev.marine.010908.163855",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1003901680"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nature09329",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1004059270",
"https://doi.org/10.1038/nature09329"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/978-1-4020-9210-7_19",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1004242113",
"https://doi.org/10.1007/978-1-4020-9210-7_19"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/978-1-4020-9210-7_19",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1004242113",
"https://doi.org/10.1007/978-1-4020-9210-7_19"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.ecolmodel.2005.03.026",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1004781161"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1093/icesjms/fsr038",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1005284110"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/j.1466-8238.2011.00656.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1008377716"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1098/rspb.2006.3545",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1009660818"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/j.1095-8312.2010.01550.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1011074561"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/j.1095-8312.2010.01550.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1011074561"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/j.1472-4642.2010.00725.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1012523206"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/j.1472-4642.2010.00725.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1012523206"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.pocean.2006.03.013",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1015708454"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/j.1461-0248.2007.01094.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1018690116"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1134/s0032945210080011",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1026831097",
"https://doi.org/10.1134/s0032945210080011"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1134/s0032945210080011",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1026831097",
"https://doi.org/10.1134/s0032945210080011"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.pocean.2006.03.006",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1027595070"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1029/2010gl046324",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1028600829"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.tree.2007.03.007",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1030471409"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/j.1461-0248.2004.00671.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1034551474"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/j.1461-0248.2009.01405.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1038270430"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/j.1461-0248.2009.01405.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1038270430"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1134/s0032945207040017",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1041597324",
"https://doi.org/10.1134/s0032945207040017"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.pocean.2006.03.012",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1042025233"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.pocean.2006.03.003",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1045167166"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/j.1439-0485.2010.00393.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1048603394"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1111/j.1439-0485.2010.00393.x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1048603394"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf00044128",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1049019785",
"https://doi.org/10.1007/bf00044128"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/bf00044128",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1049019785",
"https://doi.org/10.1007/bf00044128"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00027-003-0669-2",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1050772650",
"https://doi.org/10.1007/s00027-003-0669-2"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1086/285915",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1058596038"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1126/science.1061197",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1062445083"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1126/science.1209395",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1062464949"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.2307/1937843",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1069661801"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.2307/3545569",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1070367512"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.3354/meps08544",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1071168664"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.3354/meps100211",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1071170618"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.3354/meps117011",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1071172812"
],
"type": "CreativeWork"
}
],
"datePublished": "2018-12",
"datePublishedReg": "2018-12-01",
"description": "Flyingfishes are large enough to eat zooplankton, small enough to be consumed by top predators, and therefore form a central mid-trophic component of tropical epipelagic marine food webs. Characterizing patterns of flyingfish abundance, distribution, and habitat preference have important implications for understanding both localized and generalized functions of marine ecosystems. The eastern tropical Pacific Ocean (ETP) supports many flyingfish species and their predators, yet no studies to date have identified oceanographic factors that define flyingfish habitats or estimate species richness and diversity at broad taxonomic and geographic scales. In this study, we analyzed 11,125 flyingfish representing 25 species and all 7 named genera, collected from the ETP over a 21-year period. We applied spatially-explicit analysis methods (ARCGIS, DIVA-GIS, MAXENT) and compared specimen locality data to remotely-sensed oceanographic data, and previously described oceanographic partitions. Our results show that Exocoetus is the most abundant genus (49%), and E. monocirrhus the most abundant species (32%) of flyingfishes in the ETP. Mean sea surface temperature was most important for defining flyingfish habitats (19.2-41.7%) and species richness (highest in the North Equatorial Current). Additionally, flyingfish species diversity was found to be highest in coastal regions of the study area (Shannon indices > 1.5). Together, these results provide unprecedented characterizations of a mid-trophic epipelagic community in an economically valuable region during a time when sea surface temperatures are predicted to increase as a result of global climate change.",
"genre": "research_article",
"id": "sg:pub.10.1007/s12526-017-0666-7",
"inLanguage": [
"en"
],
"isAccessibleForFree": false,
"isFundedItemOf": [
{
"id": "sg:grant.6460684",
"type": "MonetaryGrant"
}
],
"isPartOf": [
{
"id": "sg:journal.1042933",
"issn": [
"1867-1616",
"1867-1624"
],
"name": "Marine Biodiversity",
"type": "Periodical"
},
{
"issueNumber": "4",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "48"
}
],
"name": "Flyingfish (Exocoetidae) species diversity and habitats in the eastern tropical Pacific Ocean",
"pagination": "1755-1765",
"productId": [
{
"name": "readcube_id",
"type": "PropertyValue",
"value": [
"79f4325b3508127c247a2c71fc139a6cb994e94848c244b3c1212c99c7a98028"
]
},
{
"name": "pubmed_id",
"type": "PropertyValue",
"value": [
"30505355"
]
},
{
"name": "nlm_unique_id",
"type": "PropertyValue",
"value": [
"101524051"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1007/s12526-017-0666-7"
]
},
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1084035453"
]
}
],
"sameAs": [
"https://doi.org/10.1007/s12526-017-0666-7",
"https://app.dimensions.ai/details/publication/pub.1084035453"
],
"sdDataset": "articles",
"sdDatePublished": "2019-04-11T08:18",
"sdLicense": "https://scigraph.springernature.com/explorer/license/",
"sdPublisher": {
"name": "Springer Nature - SN SciGraph project",
"type": "Organization"
},
"sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000281_0000000281/records_9827_00000000.jsonl",
"type": "ScholarlyArticle",
"url": "https://link.springer.com/10.1007%2Fs12526-017-0666-7"
}
]Download the RDF metadata as: json-ld nt turtle xml License info
JSON-LD is a popular format for linked data which is fully compatible with JSON.
curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s12526-017-0666-7'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s12526-017-0666-7'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s12526-017-0666-7'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s12526-017-0666-7'
This table displays all metadata directly associated to this object as RDF triples.
204 TRIPLES
21 PREDICATES
62 URIs
21 LITERALS
9 BLANK NODES