Key variables inferred from the MaxEnt model influencing ticks’ distribution.

https://doi.org/10.1371/journal.pntd.0012108.s002
Open external identifier URL

dataset

posted on 2024-04-29, 17:40 authored by Rui Ma, Chunfu Li, Ai Gao, Na Jiang, Jian Li, Wei Hu, Xinyu Feng

<p>Key variables inferred from the MaxEnt model influencing ticks’ distribution.</p>

History

Related Materials

1.
DOI - Is supplement to Tick species diversity and potential distribution alternation of dominant ticks under different climate scenarios in Xinjiang, China

Usage metrics

Categories

Keywords

spatial change characteristics rhipicephalus turanicus </mr mode scenarios literature database retrieval hyalomma asiaticum </haemaphysalis punctatus </dermacentor marginatus </potential influencing factors spatial distribution trend future distribution trend distribution patterns throughout instrumental data reference historical data collection next four periods january 2023 ).different climate scenarios borne diseases due potential distribution range potential distribution alternation div >< p china </ p preliminary tick distribution tick species diversity four tick species maxent model revealed 60 years based tick species distribution dominant tick species four dominant ticks year tick dataset new suitability areas potential distribution distribution data tick distribution tick species maxent model different periods dominant ticks 48 species tick monitoring suitability areas january 1963 animal diseases tacheng prefecture significant importance results indicated numerous human mainly distributed local areas increased risk hematophagous parasite expand towards eight genera diverse array countries participating analysis using 108 cities

Licence

Exports