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Assessing systematic biases in farmers' local weather change perceptions
Gaurav Arora1,2, Hongli Feng3
1Department of Social Sciences and Humanities, Indraprastha Institute of Information Technology, New Delhi, India. gaurav@iiitd.ac.in.
Scientific Reports
|November 4, 2024
Summary
Many farmers in the U.S. Corn Belt misperceive weather changes, potentially influencing land use decisions. This study reveals biases in how farmers perceive temperature, precipitation, and drought trends.
Area of Science:
- Agricultural Science
- Climate Science
- Environmental Psychology
Background:
- Scientific climate change data is crucial for policy, but stakeholder perceptions significantly shape decision-making.
- Understanding farmer perceptions is vital for effective climate change adaptation and mitigation strategies in agriculture.
Purpose of the Study:
- To evaluate weather perception biases among corn and soybean farmers in the U.S. Corn Belt.
- To quantify the gap between farmers' reported weather perceptions and meteorological evidence for temperature, precipitation, and drought.
- To investigate how land use decisions may influence these perception biases.
Main Methods:
- Conducted spatially-delineated primary surveys with corn and soybean farmers.
- Compared farmer-reported weather perceptions (temperature, precipitation, drought) with historical meteorological data.
- Analyzed the relationship between land use changes (cropping incidence on grasslands) and perception biases.
Main Results:
- Approximately 70% of surveyed farmers demonstrated misperceptions of past weather changes.
- Among misperceiving farmers, three-fourths overestimated temperature and drought frequency, while 40% underestimated precipitation trends.
- Farmers with higher cropping incidence on former grasslands were more likely to under-perceive drought and over-perceive wetter conditions.
Conclusions:
- Farmer perceptions of weather changes are systematically biased, often aligning with past land use decisions.
- These perception biases can impact the effectiveness of climate change policies and adaptation strategies.
- Investigating perception biases alongside economic decisions provides critical insights for climate policy development.
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