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

Ramos, Rodrigo Soares; Kumar, Lalit; Shabani, Farzin; Silva, Ricardo Siqueira da; Araújo, Tamíris Alves de; Picanço, Marcelo Coutinho

doi:10.1007/s00484-018-01661-2

Cited by 25 publications

(7 citation statements)

References 48 publications

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“…Based on climate models, under four different climate scenarios that include data on humidity, temperature, and atmospheric CO 2 levels, it is predicted that many more geographical regions worldwide will be suitable for outdoor tomato production. These regions may also become suitable for the establishment of B. tabaci populations and thus for the increased incidence of the highly damaging pathogen of tomato—tomato yellow leaf curl virus (TYLCV) [ 187 ].…”

Section: Climate Under Changementioning

confidence: 99%

The Impact of Climate Change on Agricultural Insect Pests

Skendžić

Zovko

Živković

et al. 2021

Insects

419

168

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Climate change and global warming are of great concern to agriculture worldwide and are among the most discussed issues in today’s society. Climate parameters such as increased temperatures, rising atmospheric CO2 levels, and changing precipitation patterns have significant impacts on agricultural production and on agricultural insect pests. Changes in climate can affect insect pests in several ways. They can result in an expansion of their geographic distribution, increased survival during overwintering, increased number of generations, altered synchrony between plants and pests, altered interspecific interaction, increased risk of invasion by migratory pests, increased incidence of insect-transmitted plant diseases, and reduced effectiveness of biological control, especially natural enemies. As a result, there is a serious risk of crop economic losses, as well as a challenge to human food security. As a major driver of pest population dynamics, climate change will require adaptive management strategies to deal with the changing status of pests. Several priorities can be identified for future research on the effects of climatic changes on agricultural insect pests. These include modified integrated pest management tactics, monitoring climate and pest populations, and the use of modelling prediction tools.

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Section: Climate Under Changementioning

confidence: 99%

The Impact of Climate Change on Agricultural Insect Pests

Skendžić

Zovko

Živković

et al. 2021

Insects

419

168

View full text Add to dashboard Cite

show abstract

“…Thus, the final number of predictor variables after screening was 5 establishing the potential geographical distribution of bedbug, which includes Temperature Seasonality (bio4), Precipitation of Driest Month (bio14), Temperature Annual Range (bio7), Precipitation of Driest Quarter (bio17) and Precipitation of Warmest Quarter (bio18) (Appendix B , Table S2 ). The land cover was considered because studies have shown its importance on insect spatial distribution 50 – 52 and it was setled as a categorical variable 53 . Elevation was selected as variable because it greatly influences species' occurrence and dispersal by affecting the temperature, precipitation, vegetation, and sun characteristics (direction, intensity, etc.)…”

Section: Methodsmentioning

confidence: 99%

Household perception and infestation dynamics of bedbugs among residential communities and its potential distribution in Africa

Mbuta

Khamis

Sokame

et al. 2022

Sci Rep

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Bedbugs have experienced an extraordinary upsurge in the recent past across the world. This cross-sectional study aimed to explore the community perception of the pest outbreaks, the population dynamics, and dispersal patterns under different habitat systems. A survey was conducted within communities in nine counties in Kenya, where geographical coordinates of the sites of bedbug presence were recorded and maximum entropy distribution modelling (MaxEnt) was used to map and predict the potentially suitable habitat, while system thinking and system dynamics approach with Vensim PLE 8.0.9 software was applied to implement bedbug infestation dynamics. Our results indicated that majority of the respondents had ample knowledge on bedbugs and were concerned about the physico-psychologic and socio-economic health effects. Spatial distribution analysis showed regions in Kenya with optimal to suitable for bedbug occurrence in the whole country, and similar results were found at continental level across Africa. Furthermore, infestation dynamics results showed a rapid mobility of bedbug from one house to another. In terms of management strategies, the models showed that the combination of chemical with other control methods was considerably much more effective compared to the use of chemical approach only, appointing integrated pest management strategy as a better intervention approach in controlling the pest.

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“…The growth, stress, and combination parameters define the Ecoclimatic Index (EI), representing areas with climatic suitability for the development and establishment of species. The EI ranges from 0 to 100, where values close to 0 are inappropriate places for the species to grow, and those above 30 are where climatic conditions are considered adequate [38].…”

Section: Climexmentioning

confidence: 99%

Potential Distribution of and Sensitivity Analysis for Urochloa panicoides Weed Using Modeling: An Implication of Invasion Risk Analysis for China and Europe

Duque

Silva

Maciel

et al. 2022

Plants

Self Cite

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Urochloapanicoides P. Beauv. is considered one of the most harmful weeds in the United States and Australia. It is invasive in Pakistan, Mexico, and Brazil, but its occurrence is hardly reported in China and European countries. Species distribution models enable the measurement of the impact of climate change on plant growth, allowing for risk analysis, effective management, and invasion prevention. The objective of this study was to develop current and future climate models of suitable locations for U. panicoides and to determine the most influential climatic parameters. Occurrence data and biological information on U. panicoides were collected, and climatic parameters were used to generate the Ecoclimatic Index (EI) and to perform sensitivity analysis. The future projections for 2050, 2080, and 2100 were modeled under the A2 SRES scenario using the Global Climate Model, CSIRO-Mk3.0 (CS). The potential distribution of U. panicoides coincided with the data collected, and the reliability of the final model was demonstrated. The generated model identified regions where the occurrence was favorable, despite few records of the species. Sensitivity analysis showed that the most sensitive parameters of the model were related to temperature, humidity, and cold stress. Future projections predict reductions in climate suitability for U. panicoides in Brazil, Australia, India, and Africa, and an increase in suitability in Mexico, the United States, European countries, and China. The rise in suitability of China and Europe is attributed to predicted climate change, including reduction in cold stress. From the results obtained, preventive management strategies can be formulated against the spread of U. panicoides, avoiding economic and biodiversity losses.

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

Cited by 25 publications

References 48 publications

The Impact of Climate Change on Agricultural Insect Pests

The Impact of Climate Change on Agricultural Insect Pests

Household perception and infestation dynamics of bedbugs among residential communities and its potential distribution in Africa

Potential Distribution of and Sensitivity Analysis for Urochloa panicoides Weed Using Modeling: An Implication of Invasion Risk Analysis for China and Europe

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