Identification of habitat suitability for the dominant zoonotic tick species Haemaphysalis flava on Chongming Island,China  

作　　者：Si-Wei Fei Han-Qing Zhao Jing-Xian Yin Zhi-Shan Sun Jing-Bo Xue Shan Lv Xin-Yu Feng Xiao-Kui Guo Xiao-Nong Zhou Kokouvi Kassegne 

机构地区：[1]School of Global Health,Chinese Centre for Tropical Diseases Research,Shanghai Jiao Tong University School of Medicine,Shanghai 200025,China [2]National Institute of Parasitic Diseases at Chinese Centre for Disease Control and Prevention(Chinese Centre for Tropical Diseases Research),National Health Commission of the People's Republic of China(NHC)Key Laboratory of Parasite and Vector Biology,World Health Organization(WHO)Collaborating Centre for Tropical Diseases,National Centre for International Research on Tropical Diseases of the Chinese Ministry of Science and Technology,Shanghai 200025,China [3]Zhejiang University–University of Edinburgh International Institute,Zhejiang University,Haining,Zhejiang,314400,China.

出　　处：《Science in One Health》2024年第1期140-148,共9页全健康科学（英文）

基　　金：supported in part by The International Joint Laboratory on Tropical Diseases Control in the Greater Mekong Subregion fund(21410750200);the Science and Technology Commission of Shanghai,China and The Science and Technology Innovation Project fund of the School of Global Health,Shanghai Jiao Tong University School of Medicine(SGHKJCX2021-05,SGHKJCX2021-04),China.

摘　　要：Haemaphysalis ticks are pathogenic vectors that threaten human and animal health and were identified in Chongming,the third largest island in China.To understand the distribution of these ticks and determine their potential invasion risk,this study aimed to identify the habitat suitability of the dominant tick H.flava based on natural environmental factors.Geographic information system(GIS)images were combined with sample points from tick investigations to map the spatial distribution of H.flava.Data on 19 bioclimatic variables,environmental variables,and satellite-based landscapes of Chongming Island were retrieved to create a landcover map related to natural environmental determinants of H.flava.These data included 38 sites associated with the vectors to construct species distribution models with MaxEnt,a model based on the maximum entropy principle,and to predict habitat suitability for H.flava on Chongming Island in 2050 and 2070 under different climate scenarios.The model performed well in predicting the H.flava distribution,with a training area under the curve of 0.84 and a test area under the curve of 0.73.A habitat suitability map of the whole study area was created for H.flava.The resulting map and natural environment analysis highlighted the importance of the normalized difference vegetation index and precipitation in the driest month for the bioecology of H.flava,with 141.61 km^(2)(11.77%),282.94 km^(2)(23.35%),and 405.30 km^(2)(33.69%)of highly,moderately,and poorly suitable habitats,respectively.The distribution decreased by 135.55 km^(2) and 138.82 km^(2) in 2050 and 2070,respectively,under the shared socioeconomic pathway(SSP)1.2.6 climate change scenario.However,under SSP 5.8.5,the total area will decrease by 128.5 km^(2) in 2050 and increase by 151.64 km^(2) in 2070.From a One Health perspective,this study provides good knowledge that will guide tick control efforts to prevent the spread of Haemaphysalis ticks or transmission risk of Haemaphysalis-borne infections at the human-animal-environment

关 键 词：TICKS Haemaphysalis MaxEnt model Habitat suitability Transmission risk Environmental and bioclimatic factors Chongming Island 

分 类 号：S16[农业科学—农业气象学]