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Determination of the Absorption, Translocation, and Distribution of Imidacloprid in Wheat
Published on: April 28, 2023
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Systemically modeling the relationship between climate change and wheat aphid abundance.
Kai Zhang1, Qiong Pan2, Deying Yu3
1School of Computer Science and Technology, Xidian University, Xi'an 710071, China.
The Science of the Total Environment
|April 22, 2019
Summary
Climate change impacts wheat aphid populations. Understanding these ecological mechanisms, particularly temperature effects, aids in forecasting and managing aphid impacts on wheat production.
Area of Science:
- Agricultural Entomology
- Climate Change Ecology
- Ecological Modeling
Background:
- Climate change poses a significant threat to global food security.
- Wheat aphids (Sitobion avenae) are major pests that reduce wheat quality and yield.
- Ecological mechanisms linking climate variables to aphid abundance require further elucidation.
Purpose of the Study:
- To model the ecological mechanisms of climate change effects on wheat aphid abundance.
- To quantitatively assess the impact of various climate factors on different aphid life stages.
- To improve forecasting and management strategies for wheat aphids.
Main Methods:
- Utilized Fuzzy Cognitive Maps (FCM) to represent the complex system of climate and wheat aphid interactions.
- Employed differential evolution (DE) algorithms to construct FCM models.
- Analyzed climatological data and Sitobion avenae abundance data from China.
Main Results:
- Temperature was identified as the most influential climate factor positively affecting wheat aphid abundance.
- Highest daily temperature and natural enemies were found to be the most significant factors in overall models, with opposing impacts.
- FCM models successfully quantified the relationships between climate factors and aphid abundance across different growth stages.
Conclusions:
- Climate change significantly influences wheat aphid dynamics, with temperature being a primary driver.
- Fuzzy Cognitive Maps provide a robust framework for understanding these complex ecological relationships.
- The developed models offer valuable tools for predicting aphid outbreaks and informing mitigation strategies against climate change-induced food crises.
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