Abstract
BACKGROUND: Raoiella indica Hirst (Acari: Tenuipalpidae) is the most critical coconut and banana pest recently introduced in Brazil. Once the mite pests are introduced, it is essential to understand their dynamics in important crops under open-field climatic conditions to implement strategies for their management and determine the periods when species populations may increase in the field. Modelling tools have been used to determine the potential distribution of species and implications for the management of invasive species. Thus, our aim in this study was to determine the seasonal variation in R. indica and the influence of the monthly climate using CLIMEX modelling. We adjusted the CLIMEX model for R. indica based on distribution data, additional biological characteristics, and fluctuations in the R. indica population in a commercial coconut plantation. RESULTS: The model for the current climate shows a good match between the ecoclimatic index and the global distribution of R. indica. The model results demonstrate that most states of Brazil and several regions worldwide include areas with highly suitable climatic conditions for R. indica. We observed variations in the density of R. indica in commercial coconut crops, with the highest incidence occurring during the first months of the year. CONCLUSION: Our results showed different alterations in seasonal suitability for R. indica that may provide information for the implementation of methods for time management, such as strategies for sampling and control during periods with a high degree of suitability for R. indica. © 2020 Society of Chemical Industry.
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Claims 4
Claim · model-written summary
The current climate model matches the global R. indica distribution well.
- Taxon
- R. indica
Raoiella indicae0 - Outcome
- good matche0
- Comparator
- global distribution of R. indicae0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Verbatim
e0“The model for the current climate shows a good match between the ecoclimatic index and the global distribution of R. indica.”
Claim · model-written summary
Most Brazilian states and several regions worldwide contain highly climatically suitable areas for R. indica.
- Taxon
- R. indica
Raoiella indicae0 - Outcome
- highly suitable climatic conditionse0
- Setting
- Brazile0
Not reportedDirection
Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Verbatim
e0“The model results demonstrate that most states of Brazil and several regions worldwide include areas with highly suitable climatic conditions for R. indica.”
Claim · model-written summary
R. indica density varied in commercial coconut crops and incidence peaked in the first months of the year.
- Taxon
- R. indica
Raoiella indicae0 - Interactor
- coconute0host
- Outcome
- incidencee0
- Direction
- higheste0
- Qualifier
- during the first months of the yeare0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Verbatim
e0“We observed variations in the density of R. indica in commercial coconut crops, with the highest incidence occurring during the first months of the year.”
Claim · model-written summary
Seasonal suitability alterations may inform sampling and control during periods of high R. indica suitability.
- Taxon
- R. indica
Raoiella indicae0 - Outcome
- strategies for sampling and controle0
- Qualifier
- during periods with a high degree of suitability for R. indicae0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Verbatim
e0“Our results showed different alterations in seasonal suitability for R. indica that may provide information for the implementation of methods for time management, such as strategies for sampling and control during periods with a high degree of suitability for R. indica.”