Potential Spatial Distribution of the Newly Introduced Long-horned Tick, Haemaphysalis longicornis in North America View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-12

AUTHORS

R. K. Raghavan, S. C. Barker, M. E. Cobos, D. Barker, E. J. M. Teo, D. H. Foley, R. Nakao, K. Lawrence, A. C. G. Heath, A. T. Peterson

ABSTRACT

The North American distributional potential of the recently invaded tick, Haemaphysalis longicornis, was estimated using occurrence data from its geographic range in other parts of the world and relevant climatic data sets. Several hundred candidate models were built using a correlative maximum entropy approach, and best-fitting models were selected based on statistical significance, predictive ability, and complexity. The median of the best-fitting models indicates a broad potential distribution for this species, but restricted to three sectors-the southeastern United States, the Pacific Northwest, and central and southern Mexico. More... »

PAGES

498

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/s41598-018-37205-2

DOI

http://dx.doi.org/10.1038/s41598-018-37205-2

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1111643328

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30679711


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Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

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/s41598-018-37205-2'

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/s41598-018-37205-2'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s41598-018-37205-2'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41598-018-37205-2'


 

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