Potential distribution of Amblyomma mixtum (Koch, 1844) in climate change scenarios in the Americas

Aguilar‐Domínguez, Mariel; Moo‐Llanes, David A.; Sánchez‐Montes, Sokani; Becker, Ingeborg; Feria-Arroyo, Teresa Patricia; León, Adalberto A. Pérez de; Romero-Salas, Dora

doi:10.1016/j.ttbdis.2021.101812

Cited by 19 publications

(20 citation statements)

References 44 publications

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“…Also included were growth season temperature (gst) and growth season precipitation (gsp), which are indicative of H. marginatum, whose activity coincides greatly with the growth season (Estrada-Peña et al, 2011). Bioclim variables 8, 9, 18 and 19 from the Worldclim dataset (Fick & Hijmans, 2017) are reported to have significant spatial artefact problems visible as anomalous discontinuities between neighbouring pixels and thus it is generally advised to remove them before carrying out analyses (Aguilar-Domínguez et al, 2021;Alkishe & Peterson, 2022;Escobar, 2020;Escobar et al, 2014). We removed these variables from the Chelsa dataset since we observed that the same artefacts are also present in Chelsa-Bioclim data.…”

Section: Environmental Variablesmentioning

confidence: 99%

“…Human intervention in ecosystems, including globalization, urbanization, rapid transportation, land use, and climate change, has led to a global increase in the transmission rate of several pathogens and vector organisms that serve as reservoirs for these pathogens (Aguilar-Domínguez et al, 2021;Andersen & Davis, 2017;Carvalho et al, 2017;Kovats et al, 2001;Leder et al, 2021;Semenza & Suk, 2018).…”

Section: Introductionmentioning

confidence: 99%

“…Thanks to advances in machine learning algorithms in ecology, such as MaxEnt (Crisci et al, 2012;Elith et al, 2011;Merow et al, 2013;Phillips & Schapire, 2004) and the advent of highresolution climatic datasets such as Chelsa (Karger et al, 2017) and WorldClim (Fick & Hijmans, 2017), ecological niche modeling (ENM) has become a fundamental method for investigating possible current and future distributions of disease-transmitting vectors over the past two decades (Aguilar-Domínguez et al, 2021;Alkishe et al, 2021;Chalghaf et al, 2018;Moo-Llanes et al, 2021;Raghavan et al, 2020). Correlative ecological niche models primarily rely on combining georeferenced species records with predictive environmental variables (e.g., climatic, topographic, soil) to build a coefficient matrix representing the organism's multidimensional niche (Peterson & Soberón, 2012;Warren & Seifert, 2011).…”

Section: Introductionmentioning

confidence: 99%

“…Correlative ecological niche models primarily rely on combining georeferenced species records with predictive environmental variables (e.g., climatic, topographic, soil) to build a coefficient matrix representing the organism's multidimensional niche (Peterson & Soberón, 2012;Warren & Seifert, 2011). ENM's have been widely used to predict the potential future distributions of vectors under various global circulation scenarios of climate, in addition to their current potential (Aguilar-Domínguez et al, 2021;Alkishe & Peterson, 2022;Wu et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

“…Characteristics (pROC) test and an omission threshold rate of 5%(Aguilar-Domínguez et al, 2021;Peterson & Soberón, 2012), secondary evaluations were done with Akaike Information Criterion corrected for small sample size (AICc). The eventual calibration models were selected from statistically significant, that have omission rates below 5% and with ΔAICc values below 2(Nuñez-Penichet et al, 2021;Warren & Seifert, 2011).…”

mentioning

confidence: 99%

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Predicting climate-driven distribution shifts inHyalomma marginatum(Ixodidae)

Hekimoğlu

Elverici

Kuyucu

2023

Preprint

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Hyalomma marginatum is an important tick species which is the main vector of Crimean-Congo haemorrhagic fever (CCHF) and spotted fever. The species is predominantly distributed in parts of Southern Europe, North Africa and West Asia. However, due to ongoing climate change and increasing reports of H. marginatum in central and northern Europe, the expansion of this range poses a potential future risk. In this study, we employed an Ecological Niche Modelling (ENM) approach to model the current and future climatic suitability of H. marginatum. Using high resolution climatic variables from the Chelsa dataset and an updated list of locations for H. marginatum, we constructed 2 models under current environmental conditions using MaxEnt: a more specific model for only current conditions, and a more general model for both current conditions and future projections under the ssp370 and ssp585 scenarios. Our models show that the climatically suitable region for H. marginatum matches the current distributional area in the Mediterranean basin and West Asia. When applied to future projections, our models suggest a considerable expansion of H. marginatum's range in the north in Europe as a result of rising temperatures. However, they also predict a decline in central Anatolia, potentially due to the exacerbation of drought conditions in that region.

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Section: Environmental Variablesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

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Predicting climate-driven distribution shifts inHyalomma marginatum(Ixodidae)

Hekimoğlu

Elverici

Kuyucu

2023

Preprint

View full text Add to dashboard Cite

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Molecular identification and morphological variations of Amblyomma lepidum imported to Egypt, with notes about its potential distribution under climate change

Abouelhassan,

GadAllah,

Kamel

et al. 2024

Parasitol Res

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The tick Amblyomma lepidum is an ectoparasite of veterinary importance due to its role in transmitting livestock diseases in Africa, including heartwater. This study was conducted in 2023 to monitor Amblyomma spp. infestation in dromedary camels imported from Somalia, Ethiopia, and Sudan to Egypt. This study inspected 200 camels at the Giza governorate’s camel market that had been imported from Somalia, 200 from Ethiopia, and 200 from Sudan for tick infestation. Specimens were identified using morphological characteristics and phylogenetic analyses of the 12S and 16S rRNA genes. Clusters were calculated using an unweighted pair-group method with arithmetic averages (UPGMA) dendrogram to group the specimens according to their morphometric characteristics. The morphometric analysis compared the body shape of ticks collected from different countries by analyzing dorsal features. Principal component analysis (PCA) and canonical variate analysis (CVA) were performed to obtain body shape variation among specimens from different countries. Results indicated that camels were infested by 57 males Amblyomma lepidum, and no female specimens were observed; among these specimens, one may have a morphological abnormality. The results suggest that A. lepidum specimens collected from camels imported to Egypt from African countries exhibit locally adapted morphology with variations among specimens, particularly variations in body size. This adaptation suggests minimal potential for genetic divergence. Ecological niche modeling was used to predict the areas in Africa with suitable climates for A. lepidum. The study confirmed that East African countries might have the most favorable climatic conditions for A. lepidum to thrive. Interestingly, the amount of rain during the wettest quarter (Bio16) had the strongest influence on the tick’s potential distribution, with suitability decreasing sharply as rainfall increased. Future predictions indicate that the climatic habitat suitability for A. lepidum will decrease under changing climate conditions. However, historical, current, and future predictions indicate no suitable climatic habitats for A. lepidum in Egypt. These findings demand continuous surveillance of A. lepidum in camel populations and the development of targeted strategies to manage tick infestations and prevent the spread of heartwater disease.

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