Ontology type: schema:ScholarlyArticle
2018-10
AUTHORSAutumn-Lynn Harrison, Daniel P. Costa, Arliss J. Winship, Scott R. Benson, Steven J. Bograd, Michelle Antolos, Aaron B. Carlisle, Heidi Dewar, Peter H. Dutton, Salvador J. Jorgensen, Suzanne Kohin, Bruce R. Mate, Patrick W. Robinson, Kurt M. Schaefer, Scott A. Shaffer, George L. Shillinger, Samantha E. Simmons, Kevin C. Weng, Kristina M. Gjerde, Barbara A. Block
ABSTRACTDuring their migrations, marine predators experience varying levels of protection and face many threats as they travel through multiple countries' jurisdictions and across ocean basins. Some populations are declining rapidly. Contributing to such declines is a failure of some international agreements to ensure effective cooperation by the stakeholders responsible for managing species throughout their ranges, including in the high seas, a global commons. Here we use biologging data from marine predators to provide quantitative measures with great potential to inform local, national and international management efforts in the Pacific Ocean. We synthesized a large tracking data set to show how the movements and migratory phenology of 1,648 individuals representing 14 species-from leatherback turtles to white sharks-relate to the geopolitical boundaries of the Pacific Ocean throughout species' annual cycles. Cumulatively, these species visited 86% of Pacific Ocean countries and some spent three-quarters of their annual cycles in the high seas. With our results, we offer answers to questions posed when designing international strategies for managing migratory species. More... »
PAGES1571-1578
http://scigraph.springernature.com/pub.10.1038/s41559-018-0646-8
DOIhttp://dx.doi.org/10.1038/s41559-018-0646-8
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1106420894
PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/30177802
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"sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8695_00000605.jsonl",
"type": "ScholarlyArticle",
"url": "https://www.nature.com/articles/s41559-018-0646-8"
}
]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.10.1038/s41559-018-0646-8'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/s41559-018-0646-8'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s41559-018-0646-8'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41559-018-0646-8'
This table displays all metadata directly associated to this object as RDF triples.
341 TRIPLES
21 PREDICATES
59 URIs
21 LITERALS
9 BLANK NODES