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.

Details

Title
Potential Spatial Distribution of the Newly Introduced Long-horned Tick, Haemaphysalis longicornis in North America
Author
Raghavan, R K 1 ; Barker, S C 2 ; Cobos, M E 3   VIAFID ORCID Logo  ; Barker, D 4 ; Teo E J M 2 ; Foley, D H 5 ; Nakao, R 6 ; Lawrence, K 7 ; Heath, A C, G 8 ; Peterson, A T 3 

 College of Veterinary Medicine, Kansas State University, Department of Diagnostic Medicine & Pathobiology, Manhattan, USA (GRID:grid.36567.31) (ISNI:0000 0001 0737 1259) 
 School of Chemistry and Molecular Biosciences, The University of Queensland, Department of Parasitology, St. Lucia, Australia (GRID:grid.1003.2) (ISNI:0000 0000 9320 7537) 
 College of Liberal Arts and Sciences, University of Kansas, Department of Ecology and Evolutionary Biology and Biodiversity Institute, Lawrence, USA (GRID:grid.266515.3) (ISNI:0000 0001 2106 0692) 
 School of Veterinary Science, The University of Queensland, Gatton, Australia (GRID:grid.1003.2) (ISNI:0000 0000 9320 7537) 
 Walter Reed Army Institute of Research, Division of Entomology, Silver Spring, USA (GRID:grid.420210.5) (ISNI:0000 0001 0036 4726) 
 Graduate School of Veterinary Medicine, Hokkaido University, Department of Disease Control, Sapporo, Japan (GRID:grid.39158.36) (ISNI:0000 0001 2173 7691) 
 Massey University, School of Veterinary Science, Palmerston North, New Zealand (GRID:grid.148374.d) (ISNI:0000 0001 0696 9806) 
 c/o Hopkirk Research Institute, Agresearch Ltd., Palmerston North, New Zealand (GRID:grid.417738.e) (ISNI:0000 0001 2110 5328) 
Publication year
2019
Publication date
Jan 2019
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2344214071
Copyright
This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.