Satellite-based modelling of potential tsetse (Glossina pallidipes) breeding and foraging sites using teneral and non-teneral fly occurrence data.
Satellite-based modelling of potential tsetse (Glossina pallidipes) breeding and foraging sites using teneral and non-teneral fly occurrence data.
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DOI：
10.1186/s13071-021-05017-5
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发表时间：
2021-09-28
影响因子：
3.2
通讯作者：
Masiga D
中科院分区：
文献类型：
--
作者：
Gachoki S;Groen T;Vrieling A;Okal M;Skidmore A;Masiga D
非洲锥虫病主要由采采蝇（舌蝇属）传播，对公众健康构成威胁，并严重阻碍动物生产。现有一些工具可以降低采采蝇密度并阻断疾病传播，但它们的大规模部署受到实施成本高的限制。这在一定程度上受限于缺乏对繁殖地点和散布数据的了解，以及在缺乏实地调查的情况下可以预测这些数据的工具。在肯尼亚，2017年至2019年期间，在辛巴山国家保护区（SHNR）内的261个随机点和距离保护区边界5公里的村庄进行了采采工作。考虑到它们有限的传播速度，我们使用了未吃过血的新出现蝇（一般）的原位观察作为活跃繁殖地点的代理。在干湿季节，我们分别用卫星反演的植被覆盖类型分数、绿度、温度、土壤质地和水分指数拟合了常用的植物和非植物采采存在的物种分布模型。采用曲线下面积（area under curve， AUC）统计方法评估模型性能，采用敏感性和特异性的最大总和来确定合适的繁殖或觅食地点。261个诱蝇器捕获的苍白蝇占47%，一般蝇占37%。拟合模型对将军蝇（AUC = 0.83）比非将军蝇（AUC = 0.73）更准确。一般蝇的发生概率随林地的不同而增加，随农田的不同而减少。在雨季，随着淤泥含量的增加，苍蝇发生的可能性降低。在平均地表温度低于24°C的地区，成虫采采蝇不太可能被捕获。模型预测63%的采采蝇潜在繁殖区在保护区内，但也显示了保护区外的潜在繁殖区。利用卫星衍生变量的时间序列对按生命阶段分解的采采发生数据进行建模，可以对白斑舌蝇潜在的繁殖和觅食地点进行空间表征。我们的模型提供了对采采蝇生物学的深入了解，并有助于描述采采蝇侵扰的特征，从而确定控制区域的优先顺序。在线版本包含补充材料，可在10.1186/s13071-021-05017-5获得。
African trypanosomiasis, which is mainly transmitted by tsetse flies (Glossina spp.), is a threat to public health and a significant hindrance to animal production. Tools that can reduce tsetse densities and interrupt disease transmission exist, but their large-scale deployment is limited by high implementation costs. This is in part limited by the absence of knowledge of breeding sites and dispersal data, and tools that can predict these in the absence of ground-truthing. In Kenya, tsetse collections were carried out in 261 randomized points within Shimba Hills National Reserve (SHNR) and villages up to 5 km from the reserve boundary between 2017 and 2019. Considering their limited dispersal rate, we used in situ observations of newly emerged flies that had not had a blood meal (teneral) as a proxy for active breeding locations. We fitted commonly used species distribution models linking teneral and non-teneral tsetse presence with satellite-derived vegetation cover type fractions, greenness, temperature, and soil texture and moisture indices separately for the wet and dry season. Model performance was assessed with area under curve (AUC) statistics, while the maximum sum of sensitivity and specificity was used to classify suitable breeding or foraging sites. Glossina pallidipes flies were caught in 47% of the 261 traps, with teneral flies accounting for 37% of these traps. Fitted models were more accurate for the teneral flies (AUC = 0.83) as compared to the non-teneral (AUC = 0.73). The probability of teneral fly occurrence increased with woodland fractions but decreased with cropland fractions. During the wet season, the likelihood of teneral flies occurring decreased as silt content increased. Adult tsetse flies were less likely to be trapped in areas with average land surface temperatures below 24 °C. The models predicted that 63% of the potential tsetse breeding area was within the SHNR, but also indicated potential breeding pockets outside the reserve. Modelling tsetse occurrence data disaggregated by life stages with time series of satellite-derived variables enabled the spatial characterization of potential breeding and foraging sites for G. pallidipes. Our models provide insight into tsetse bionomics and aid in characterising tsetse infestations and thus prioritizing control areas. The online version contains supplementary material available at 10.1186/s13071-021-05017-5.
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影响因子：
2.6
作者：
Ducheyne, E.;Mweempwa, C.;De Pus, C.;Vernieuwe, H.;De Deken, R.;Hendrickx, G.;Van den Bossche, P.
通讯作者：
Van den Bossche, P.
影响因子：
4.8
作者：
Jimenez-Munoz, Juan C.;Sobrino, Jose A.;Cristobal, Jordi
通讯作者：
Cristobal, Jordi
影响因子：
3.7
作者：
Hengl T;Mendes de Jesus J;Heuvelink GB;Ruiperez Gonzalez M;Kilibarda M;Blagotić A;Shangguan W;Wright MN;Geng X;Bauer-Marschallinger B;Guevara MA;Vargas R;MacMillan RA;Batjes NH;Leenaars JG;Ribeiro E;Wheeler I;Mantel S;Kempen B
通讯作者：
Kempen B
影响因子：
1.9
作者：
BRIGHTWELL, R;DRANSFIELD, RD;WILLIAMS, BG
通讯作者：
WILLIAMS, BG
影响因子：
1
作者：
Fu, X. T.;Zhang, L. P.;Wang, Y.
通讯作者：
Wang, Y.