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The current distribution of tick species in Inner Mongolia and inferring potential suitability areas for dominant tick species based on the MaxEnt model
by
Li, Chunfu
, Feng, Xinyu
, Tian, Haoqiang
, Hu, Wei
, Zhang, Yan
, Li, Jian
, Ma, Rui
in
Analysis
/ Biomedical and Life Sciences
/ Biomedicine
/ Centroids
/ China
/ Climate change
/ Current distribution
/ Dermacentor
/ Dermacentor nuttalli
/ Disease transmission
/ Distribution
/ Distribution patterns
/ Dominant species
/ Entomology
/ Environmental factor
/ Environmental factors
/ Geographical distribution
/ Global warming
/ Habitats
/ Health risks
/ humans
/ Hyalomma asiaticum
/ Infectious Diseases
/ Inner Mongolia
/ Ixodes persulcatus
/ MaxEnt model
/ Microclimate
/ Modelling
/ monitoring
/ Online databases
/ Parasitic diseases
/ Parasitology
/ Precipitation
/ Probability theory
/ Protozoa
/ risk
/ Seasonal variations
/ Seasonality
/ species
/ Species diversity
/ Suitability area
/ temperature
/ Tick
/ Tick-borne diseases
/ Ticks
/ Trends
/ Tropical Medicine
/ Veterinary Medicine/Veterinary Science
/ Virology
/ Viruses
2023
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The current distribution of tick species in Inner Mongolia and inferring potential suitability areas for dominant tick species based on the MaxEnt model
by
Li, Chunfu
, Feng, Xinyu
, Tian, Haoqiang
, Hu, Wei
, Zhang, Yan
, Li, Jian
, Ma, Rui
in
Analysis
/ Biomedical and Life Sciences
/ Biomedicine
/ Centroids
/ China
/ Climate change
/ Current distribution
/ Dermacentor
/ Dermacentor nuttalli
/ Disease transmission
/ Distribution
/ Distribution patterns
/ Dominant species
/ Entomology
/ Environmental factor
/ Environmental factors
/ Geographical distribution
/ Global warming
/ Habitats
/ Health risks
/ humans
/ Hyalomma asiaticum
/ Infectious Diseases
/ Inner Mongolia
/ Ixodes persulcatus
/ MaxEnt model
/ Microclimate
/ Modelling
/ monitoring
/ Online databases
/ Parasitic diseases
/ Parasitology
/ Precipitation
/ Probability theory
/ Protozoa
/ risk
/ Seasonal variations
/ Seasonality
/ species
/ Species diversity
/ Suitability area
/ temperature
/ Tick
/ Tick-borne diseases
/ Ticks
/ Trends
/ Tropical Medicine
/ Veterinary Medicine/Veterinary Science
/ Virology
/ Viruses
2023
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The current distribution of tick species in Inner Mongolia and inferring potential suitability areas for dominant tick species based on the MaxEnt model
by
Li, Chunfu
, Feng, Xinyu
, Tian, Haoqiang
, Hu, Wei
, Zhang, Yan
, Li, Jian
, Ma, Rui
in
Analysis
/ Biomedical and Life Sciences
/ Biomedicine
/ Centroids
/ China
/ Climate change
/ Current distribution
/ Dermacentor
/ Dermacentor nuttalli
/ Disease transmission
/ Distribution
/ Distribution patterns
/ Dominant species
/ Entomology
/ Environmental factor
/ Environmental factors
/ Geographical distribution
/ Global warming
/ Habitats
/ Health risks
/ humans
/ Hyalomma asiaticum
/ Infectious Diseases
/ Inner Mongolia
/ Ixodes persulcatus
/ MaxEnt model
/ Microclimate
/ Modelling
/ monitoring
/ Online databases
/ Parasitic diseases
/ Parasitology
/ Precipitation
/ Probability theory
/ Protozoa
/ risk
/ Seasonal variations
/ Seasonality
/ species
/ Species diversity
/ Suitability area
/ temperature
/ Tick
/ Tick-borne diseases
/ Ticks
/ Trends
/ Tropical Medicine
/ Veterinary Medicine/Veterinary Science
/ Virology
/ Viruses
2023
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The current distribution of tick species in Inner Mongolia and inferring potential suitability areas for dominant tick species based on the MaxEnt model
Journal Article
The current distribution of tick species in Inner Mongolia and inferring potential suitability areas for dominant tick species based on the MaxEnt model
2023
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Overview
Background
Ticks are known to transmit a wide range of diseases, including those caused by bacteria, viruses, and protozoa. The expansion of tick habitats has been intensified in recent years due to various factors such as global warming, alterations in microclimate, and human activities. Consequently, the probability of human exposure to diseases transmitted by ticks has increased, leading to a higher degree of risk associated with such diseases.
Methods
In this study, we conducted a comprehensive review of domestic and international literature databases to determine the current distribution of tick species in Inner Mongolia. Next, we employed the MaxEnt model to analyze vital climatic and environmental factors influencing dominant tick distribution. Subsequently, we predicted the potential suitability areas of these dominant tick species under the near current conditions and the BCC-CSM2.MR model SSP245 scenario for the future periods of 2021–2040, 2041–2060, 2061–2080, and 2081–2100.
Results
Our study revealed the presence of 23 tick species from six genera in Inner Mongolia, including four dominant tick species (
Dermacentor nuttalli
,
Ixodes persulcatus
,
Dermacentor silvarum
, and
Hyalomma asiaticum
).
Dermacentor nuttalli
,
D. silvarum
, and
I. persulcatus
are predominantly found in regions such as Xilin Gol and Hulunbuir. Temperature seasonality (Bio4), elevation (elev), and precipitation seasonality (Bio15) were the primary variables impacting the distribution of three tick species. In contrast,
H. asiaticum
is mainly distributed in Alxa and Bayannur and demonstrates heightened sensitivity to precipitation and other climatic factors. Our modeling results suggested that the potential suitability areas of these tick species would experience fluctuations over the four future periods (2021–2040, 2041–2060, 2061–2080, and 2081–2100). Specifically, by 2081–2100, the centroid of suitable habitat for
D. nuttalli
,
H. asiaticum
, and
I. persulcatus
was predicted to shift westward, with new suitability areas emerging in regions such as Chifeng and Xilin Gol. The centroid of suitable habitat for
H. asiaticum
will move northeastward, and new suitability areas are likely to appear in areas such as Ordos and Bayannur.
Conclusions
This study provided a comprehensive overview of the tick species distribution patterns in Inner Mongolia. Our research has revealed a significant diversity of tick species in the region, exhibiting a wide distribution but with notable regional disparities. Our modeling results suggested that the dominant tick species’ suitable habitats will significantly expand in the future compared to their existing distribution under the near current conditions. Temperature and precipitation are the primary variables influencing these shifts in distribution. These findings can provide a valuable reference for future research on tick distribution and the surveillance of tick-borne diseases in the region.
Graphical Abstract
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