Assessing systematic biases in farmers’ local weather change perceptions

Gaurav Arora, Hongli Feng · 2024

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Description

Gaurav Arora and Hongli Feng present a 2024 study on how well farmers judge local weather change. Their survey covered corn and soybean growers on the western edge of the United States Corn Belt, where much grassland has been lost. The team compared what farmers said about past temperature, rainfall, and drought with actual weather records for the same places.

About seventy percent of farmers misjudged past weather change. Most of those who erred saw past weather as hotter and drier than records show, while many understated rainfall trends. The errors were not random: farmers who had plowed up protected grassland tended to recall weather in ways that fit that choice. The authors say such biased recall can skew farm decisions and climate policy. Their work links what people believe about weather to what they have done with the land.

Catalog record

CREATORGaurav Arora, Hongli Feng
YEAR2024
COLLECTIONPAPERS
FORMATTXT
FILE SIZE163 KB
VERSION1.0
LICENSECC BY 4.0
RIGHTSCC BY
SOURCEEurope PMC

Source: https://europepmc.org/articles/PMC11535047

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