Climate change implications for the distribution of the babesiosis and anaplasmosis tick vector, Rhipicephalus (Boophilus) microplus

Marques, Roberta; Krüger, Rodrigo Ferreira; Peterson, A. Townsend; Melo, Larissa F. de; Vicenzi, Natália; Jiménez‐García, Daniel

doi:10.1186/s13567-020-00802-z

Cited by 45 publications

(30 citation statements)

References 59 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Species-distribution modeling (SDMs) or ecological-niche modeling (ENMs) should be considered to be used as essential tools for identifying the priority areas for effective biodiversity conservation [44,95]. Previous studies show a relatively good performance of climatic variables to capture biodiversity distributions over space and time-i.e., climate-only models [44,65]. Here, we apply the ENMs to the national-to-regional level by conducting species-specific distribution models for 51 endangered primate species using bioclimatic covariates to identify priority areas for primate conservation in Indonesia and produce the alpha diversity maps for focal Indonesian primates, using stackedspecies-distribution models (S-SDM; [82]), also known as categorical species richness [81].…”

Section: Discussionmentioning

confidence: 99%

“…For instance, we used 15 of the 19 variables of bioclimatic data to capture environmental covariates that represent a fundamental niche in the current condition, retrieved from WorldClim v.2.0 [62,63]. We excluded four covariates that combined precipitation and temperature information because they produced spatial artefacts [64,65]. To capture future climatic conditions, we used outputs from 19 global climate models (GCMs) based on CMIP5 data (Table S3)-i.e., coupled model intercomparison project phase 5, statistically downscaled using Delta methods [66].…”

Section: Environmental Covariatesmentioning

confidence: 99%

See 1 more Smart Citation

Predicting Hotspots and Prioritizing Protected Areas for Endangered Primate Species in Indonesia under Changing Climate

Condro

Prasetyo

Rushayati

et al. 2021

Biology

View full text Add to dashboard Cite

Indonesia has a large number of primate diversity where a majority of the species are threatened. In addition, climate change is conservation issues that biodiversity may likely face in the future, particularly among primates. Thus, species-distribution modeling was useful for conservation planning. Herein, we present protected areas (PA) recommendations with high nature-conservation importance based on species-richness changes. We performed maximum entropy (Maxent) to retrieve species distribution of 51 primate species across Indonesia. We calculated species-richness change and range shifts to determine the priority of PA for primates under mitigation and worst-case scenarios by 2050. The results suggest that the models have an excellent performance based on seven different metrics. Current primate distributions occupied 65% of terrestrial landscape. However, our results indicate that 30 species of primates in Indonesia are likely to be extinct by 2050. Future primate species richness would be also expected to decline with the alpha diversity ranging from one to four species per 1 km2. Based on our results, we recommend 54 and 27 PA in Indonesia to be considered as the habitat-restoration priority and refugia, respectively. We conclude that species-distribution modeling approach along with the categorical species richness is effectively applicable for assessing primate biodiversity patterns.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Environmental Covariatesmentioning

confidence: 99%

Predicting Hotspots and Prioritizing Protected Areas for Endangered Primate Species in Indonesia under Changing Climate

Condro

Prasetyo

Rushayati

et al. 2021

Biology

View full text Add to dashboard Cite

show abstract

“…The temperature range where R. microplus tick was recorded in Burundi was 18-21˚C. Precipitation seasonality and relative humidity were also identified as important climate factors affecting R. microplus life cycle and tend to increase the number of tick generations and thus population dispersal [27,28]. Rhipicephalus microplus ticks require high rainfall although some variations were reported between season [27], although high proportion of ticks in areas of low rainfall between May and October in Africa have also been recorded [26].…”

Section: Plos Onementioning

confidence: 99%

Molecular survey of cattle ticks in Burundi: First report on the presence of the invasive Rhipicephalus microplus tick

et al. 2021

View full text Add to dashboard Cite

A recent research study on prevalence of tick-borne pathogens in Burundi reported high prevalence and endemicity of Theileria parva, Anaplasma marginale and Babesia bigemina infections in cattle. Detailed information about tick species infesting animals, their distribution and genetic diversity in Burundi is outdated and limited. This study therefore assessed the prevalence and genetic diversity of tick species infesting cattle across agroecological zones (AEZs) in Burundi. A cross-sectional study on the occurrence of tick species was conducted in 24 districts of Burundi between October and December 2017. Differential identification and characterization of ticks collected was conducted using tick morphological keys and molecular tools (cox1 and 12S rRNA gene). Chi-square test was used to test for association between agroecological zones and the prevalence of tick species. Phylogenetic relationships were inferred using bayesian and maximum likelihood algorithms. A total of 483 ticks were collected from the five AEZs sampled. Six tick species comprising of Rhipicephalus appendiculatus, R. sanguineus, R. evertsi evertsi, R. microplus, R. decoloratus and Amblyomma variegatum were observed. Rhipicephalus appendiculatus were the most prevalent ticks (~45%). A total of 138 specimens (28%) were found to be Rhipicephalus microplus, suggesting an emerging threat for cattle farmers. Twelve R. appendiculatus cox1 haplotypes were obtained from 106 specimens that were sequenced. Two cox1 haplotypes of R. microplus which clustered into previously reported Clade A were observed. Rhipicephalus sanguineus and R. evertsi evertsi ticks, the vectors of numerous zoonotic pathogens, were collected from cattle, which constitute a high risk for public health. These findings reveal an overlapping distribution of tick vectors in Burundi. The design of ticks and tick-borne diseases control strategies should consider the distribution of different vectors across the AEZs particularly the presence of the highly invasive R. microplus tick in Burundi and the potential risk of introducing the pathogenic Babesia bovis.

show abstract

“…Several recent publications have demonstrated how climate change can alter the distribution of vector-borne diseases transmitted by ticks, sandflies and mosquitoes. These studies investigate how changes in spatial distribution of arthropod vectors may influence future spatial distributions of vector-borne pathogens (Balasubramanian and Nikhil, 2015;Balasubramanian et al, 2019b;Balasubramanian et al, 2021;Medlock and Leach, 2015;Marques et al, 2020). Previous studies have shown that the season of the year and the field environment in which the ticks oviposit are important extrinsic factors as ticks were observed to produce a more significant number of eggs during peak and retreating of rains and when placed in the shade (Danielova et al, 2006).…”

Section: Introductionmentioning

confidence: 99%

The effect of flood on seasonal dynamics of Haemaphysalis (Acari: Ixodidae) tick vectors in Western Ghats forest area of Kerala, South India

Balasubramanian¹,

Sahina²

2022

JEB

View full text Add to dashboard Cite

Aim: Climate and weather conditions play a crucial role in the dynamics and distribution of ticks and tick-borne diseases. In this study, we explored the influence of a heavy rainfall (flood) occurrence on the seasonal activity and density of host-seeking Haemaphysalis tick vectors in Wayanad district, Kerala, India. Methodology: Wayanad district in Kerala state was selected as the study area. Ticks were collected from December 2017 to May 2019, monthly for five consecutive days by dragging method. Tick density was analyzed with climate data obtained from the meteorological station. Results: The total number of ticks collected post-flood decreased to 59% in Kurichiyad (site 1) and 63% in Muthanga (site 2), and the seasonal nymphal peak density was shifted. A seasonal peak of tick activity was normally observed from December to February. This peak occurrence was missing after flood in the study areas created with waterlogging and vegetation overgrowth. Interpretation: The present study revealed the effect of flood events in the study sites with significant differences in the abundance of five Haemaphysalis tick species during pre and post-flood periods and forest and wildlife habitats. This difference in the changing climatic conditions and increasing annual flood seasons in the Western Ghats may shift this region's ticks questing activity and tick-borne disease ecology.

show abstract

Climate change implications for the distribution of the babesiosis and anaplasmosis tick vector, Rhipicephalus (Boophilus) microplus

Cited by 45 publications

References 59 publications

Predicting Hotspots and Prioritizing Protected Areas for Endangered Primate Species in Indonesia under Changing Climate

Predicting Hotspots and Prioritizing Protected Areas for Endangered Primate Species in Indonesia under Changing Climate

Molecular survey of cattle ticks in Burundi: First report on the presence of the invasive Rhipicephalus microplus tick

The effect of flood on seasonal dynamics of Haemaphysalis (Acari: Ixodidae) tick vectors in Western Ghats forest area of Kerala, South India

Contact Info

Product

Resources

About