Distribution and invasion risk assessments of Chrysodeixis includens (Walker, [1858]) (Lepidoptera: Noctuidae) using CLIMEX.

Chrysodeixis includens is a polyphagous pest restricted to the American continent. The occurrence of C. includens is allied, among other factors, by favorable conditions such as temperature, humidity, presence of hosts, and migratory behavior. In this work, we built spatiotemporal species distribution models at continental and global levels for the distribution of C. includens using CLIMEX to determine times and regions favorable for year-round survival and migration of this species and in case of invasion on other continents to apply timely and right phytosanitary measures. Our models estimated high climate suitability for C. includens in Central and large proportions of South America throughout the year. Moreover, there is suitability for C. includens growth in all months of the year in Central and northern part of South America. In the northern hemisphere, these conditions range from April to October, while in mid-southern parts of South America, favorable periods comprise October through June. The countries with the highest suitability for C. includens outside the American continent are located on the African and Asian continents. Our results show variable climate suitability for C. includens during the year that help to understand likely migration pattern in North America. This information would direct efforts for appropriate C. includens management during warm and moist periods of the year. Furthermore, our models notify the need for the development of strategies for the inspection and interception of C. includens especially in central Africa, India, South and Southeast Asia, and Northeast Australia.

Mapping of the Steneotarsonemus spinki invasion risk in suitable areas for rice (Oryza sativa) cultivation using MaxEnt.

Rice is one of the most important socioeconomic crops in the world. The tarsonemid mite Steneotarsonemus spinki is one of the most destructive pests for this crop and is restricted to some regions of Asia and America. The aim of this work was to map the risk of S. spinki invasion in rice-growing areas in the world. Presence data of Oryza sativa and S. spinki obtained from the literature and bioclimatic parameters from WorldClim were analyzed in the MaxEnt program to generate suitability indices and distribution maps for each species and for the two species together. High annual mean temperature associated with low temperature annual range were the most important environmental variables for the occurrence of O. sativa and S. spinki, and low rainfall favoring S. spinki. The model indicates that there are climatic conditions for the establishment of S. spinki in important rice-producing regions, such as western and central Africa, Oceania, Asia, and North, Central, and South America. Our results are useful for the efficient establishment of phytosanitary measures to prevent the dispersal of S. spinki to new rice-producing areas.

Climate model for seasonal variation in Bemisia tabaci using CLIMEX in tomato crops.

The whitefly, Bemisia tabaci, is considered one of the most important pests for tomato Solanum lycopersicum. The population density of this pest varies throughout the year in response to seasonal variation. Studies of seasonality are important to understand the ecological dynamics and insect population in crops and help to identify which seasons have the best climatic conditions for the growth and development of this insect species. In this research, we used CLIMEX to estimate the seasonal abundance of a species in relation to climate over time and species geographical distribution. Therefore, this research is designed to infer the mechanisms affecting population processes, rather than simply provide an empirical description of field observations based on matching patterns of meteorological data. In this research, we identified monthly suitability for Bemisia tabaci, with the climate models, for 12 commercial tomato crop locations through CLIMEX (version 4.0). We observed that B. tabaci displays seasonality with increased abundance in tomato crops during March, April, May, June, October and November (first year) and during March, April, May, September and October (second year) in all monitored areas. During this period, our model demonstrated a strong agreement between B. tabaci density and CLIMEX weekly growth index (GIw), which indicates significant reliability of our model results. Our results may be useful to design sampling and control strategies, in periods and locations when there is high suitability for B. tabaci.

Spatio-temporal Distribution of Bactrocera carambolae with and without Irrigation using CLIMEX Modeling.

The carambola fruit fly Bactrocera carambolae Drew and Hancock (Diptera: Tephritidae) is an invasive fruit fly reported in North Brazil that threatens Brazilian fruit culture. Assessing the potential risk of establishing this pest is necessary to reduce the threat of B. carambolae dispersion to other countries and Brazilian regions and to avoid damage to the fruit trade. In this study, the CLIMEX model was used to understand the response of B. carambolae to climate change and to determine its potential global distribution with and without irrigation practices. Based on ecophysiological parameters, the model simulates factors limiting species distribution concerning the climate. To assess the seasonal variation in the density of B. carambolae, monitoring data in Uiramutã municipality, Roraima, from 2013 to 2019 was used. According to the CLIMEX forecast, large parts of America, Africa, and Asia, mainly in areas closest to the equator, are highly suitable for the survival of B. carambolae. Brazil is a good part of its territory with high suitability for B. carambolae, especially the North, South, and Southeast regions and the entire coastal area. The periods of the highest climatic suitability in the five Brazilian regions were January-May and October-December. The potential distribution area expands under irrigation and is highly suitable for most areas without cold stress. The CLIMEX model for B. carambolae generated in the present study provides important information for the Brazilian eradication program and other surveillance activities established in pest-free areas.

Comparative Efficacy of Superheated Dry Steam Application and Insecticide Spray Against Common Bed Bugs Under Simulated Field Conditions.

The common bed bug, Cimex lectularius L., is a difficult urban pest to control. A simulated field study was conducted to compare the efficacy of steam application and an insecticide mixture spray (0.05% acetamiprid and 0.06% bifenthrin mixture) against C. lectularius. Three types of furniture (desk chair, upholstered armchair, and wooden table) were treated in the laboratory. The efficacy of the treatments was evaluated by visual inspection and placement of interceptor traps under the legs of the furniture. One hundred mixed stages of an insecticide-resistant population of C. lectularius were released onto each furniture item. After a 10-day acclimation period, each furniture item received steam treatment, insecticide spray, or no treatment. The second application of treatment was conducted 14 d later. Bed bug counts from interceptors and visual inspections were recorded at 13 d and 28 d after the initial treatment. At 28 d, the mean (± SE) live bed bug count in the steam, spray, and control group was 1 ± 0, 2 ± 1, and 83 ± 10, respectively. Both treatment methods were highly effective in controlling bed bugs on furniture. The mean bed bug count from interceptors in the steam, spray, and control groups were 0.3 ± 0.2, 11 ± 7, and 47 ± 9, respectively. There was no significant difference in the efficacy between steam and spray treatments based on either visual inspection or bed bug counts from interceptors. However, based on interceptor counts, the steam treatment caused faster bed bug population reduction than insecticide sprays.

Mapping Brazilian Expansion Risk Levels of Mango Weevil (Sternochetus mangiferae Fabricius) Based on MaxEnt.

The mango weevil, Sternochetus mangiferae (Fabricius) (Curculionidae), pest present in Brazil and is restricted to some municipalities in the Rio de Janeiro State. This curculionid attacks the mango crop exclusively and puts mango production globally at risk, especially those destined for export. Using ecological modeling tools, this study is the first to map the potential risk of S. mangiferae in Brazil. We aimed to identify the potential distribution of this pest in Brazilian states, drawing up thematic maps of regions that present suitable and unsuitable climatic conditions for the establishment of the pest using the MaxEnt ecological niche model. The average annual temperature, the annual precipitation, the average daytime temperature range, and the annual temperature range were the variables that contributed most to the selected model. The MaxEnt model predicted highly suitable areas for S. mangiferae throughout the Brazilian coast, especially on the northeast coast. The region responsible for more than 50% of mango production in Brazil, the São Francisco Valley, was classified by the model with suitability for the pest; it can impacts exportations due to the imposition of phytosanitary barriers. This information can be used in strategies to prevent the introduction and establishment of this pest in new areas and monitor programs in areas with recent occurrence. In addition, the model results can be used in future research plans on S. mangiferae in worldwide modeling studies and climate change scenarios.

Climate-based seasonal dynamics of the invasive red palm mite Raoiella indica.

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.

Conventional Sampling Plan for Common Blossom Thrips, Frankliniella schultzei (Thysanoptera: Thripidae), in Bell Pepper.

Bell pepper [Capsicum annuum L. (Solanales: Solanaceae)] is cultivated worldwide, and the consumption of its fruits has increased because this plant is a functional food rich in antioxidants. Frankliniella schultzei (Trybom) is an important bell pepper pest worldwide. Sampling plans are essential components of integrated pest management programs. Thus, we developed a conventional sampling plan for F. schultzei in bell pepper. The work was conducted during 2 yr in commercial bell pepper fields in the vegetative, flowering, and fruiting stages. Our results indicated that the sample and the ideal technique for the evaluation of F. schultzei populations in bell pepper were the apical canopy and the beating of this part of the plant in a white plastic tray, respectively. The densities of F. schultzei were adjusted to a negative binomial distribution, and they presented a common aggregation parameter (Kcommon = 0.3176), which made it possible to generate a sampling plan that could be used in bell pepper plantations at all plant growth stages. The developed sampling plan consisted of an evaluation of 61 plants per field that took 23 and 38 min to run on 1 and 5 ha fields, respectively. In the 1 and 5 ha fields, US$1.27 and US$1.92 were spent per sampling, respectively. Thus, the plan developed in this work can be incorporated into integrated management programs for F. schultzei in bell pepper crops by facilitating the accurate, representative and feasible sampling of this pest at all stages of the plant.

Surrounding Vegetation, Climatic Elements, and Predators Affect the Spatial Dynamics of Bemisia tabaci (Hemiptera: Aleyrodidae) in Commercial Melon Fields.

Studying the spatial dynamics of pests allows the determination of abiotic and biotic factors affecting time and locations of pest attack to the crops. Such abiotic and biotic factors mainly include 1) climatic elements, 2) natural enemies, 3) phenological stage of plants, and 4) surrounding vegetation. Melon (Cucumis melo L. [Cucurbitales: Cucurbitaceae]) is among the most consumed fruit in the world, and the whitefly Bemisia tabaci (Gennadius) is among the main pests of this crop. This work aimed to determine the effects of surrounding vegetation, natural enemies, climatic elements, and stages of plants on the spatial dynamics of B. tabaci in commercial melon fields. Adult whitefly densities were monitored on four melon fields in a tropical climate region. Sampling location in crops was georeferenced. Experimental data were submitted to geostatistical analysis. The highest densities of B. tabaci occurred during hot periods experiencing lower rainfall, and when the surrounding area presented crops hosting B. tabaci, especially other melon farms. The density ratio of the predators (i.e., spiders and Geocoris sp.) were dependent on pest density. The pattern of field colonization by B. tabaci varies according to its density. Therefore, the surrounding vegetation, air temperature, and predators influence the spatial distribution of B. tabaci in melon fields. These results provide important information to melon farmers, assisting them to improve the management of B. tabaci in the field.

Mapping global risk levels of Bemisia tabaci in areas of suitability for open field tomato cultivation under current and future climates.

The whitefly, Bemisia tabaci, is a major threat to tomato Solanum lycopersicum and ranks as one of the world's 100 most invasive pests. This is the first study of B. tabaci (Biotype B and Q) global distribution, focusing on risk levels of this invasive pest, in areas projected to be suitable for open field S. lycopersicum cultivation under climate change. This study aims to identify levels of risk of invasive B. tabaci for areas of suitability for open field S. lycopersicum cultivation for the present, 2050 and 2070 using MaxEnt and the Global Climate Model, HadGEM2_ES under RCP45. Our results show that 5% of areas optimal for open field S. lycopersicum cultivation are currently at high risk of B. tabaci. Among the optimal areas for S. lycopersicum, the projections for 2050 compared to the current time showed an extension of 180% in areas under high risk, and a shortening of 67 and 27% in areas under medium and low risk of B. tabaci, respectively, while projections for 2070 showed an extension of 164, and a shortening of 49 and 64% under high, medium and low risk, respectively. The basis of these projections is that predicted temperature increases could affect the pest, which has great adaptability to different climate conditions, but could also impose limitations on the growth of S. lycopersicum. These results may be used in designing strategies to prevent the introduction and establishment of B. tabaci for open-field tomato crops, and assist the implementation of pest management programs.

Ocorrência e distribuição espacial e temporal do coleóptero Naupactus curtus em cafeeiros de Minas Gerais, Brasil / Occurrence, spatial and temporal distribution of the coleopteran Naupactus curtus on coffee plants from Minas Gerais, Brazil

Não há registro de Naupactus curtus em Minas Gerais, e as poucas ocorrências em outros Estados brasileiros são escassas de informações acerca da sua distribuição espacial em cafeeiros. Assim, este trabalho tem por objetivos relatar a ocorrência dessa praga em Minas Gerais e estudar a sua distribuição espacial e temporal em quatro lavouras de Coffea arabica, em Ponte Nova e Jaboticatubas. Os insetos foram monitorados mensalmente. N. curtus foi encontrado nessas duas áreas e apresentou maiores densidades nas bordas das lavouras.

There were no reports of Naupactus curtus in Minas Gerais, and the few occurrences in other Brazilian States bring is little of information about its spatial distribution on coffee plants. This work aimed to report the occurrence of this potential in Minas Gerais and study its their spatial and temporal distribution dynamics on crops of Coffea arabica. The study was conducted in coffee plants in Ponte Nova and Jaboticatubas, with the evaluation of density being monthly. N. curtus was found in two areas in Minas Gerais, presenting higher densities at the edges of the crops.