Assessing the scientific basis and regional applicability of a Chinese agrometeorological proverb in a warming climate

Chinese Agrometeorological Proverbs represent a valuable repository of traditional knowledge supporting agricultural practices; however, their scientific validity and regional applicability under climate change remain insufficiently examined. This study evaluates the proverb “The heat of Dog Days on double Beginning of Spring of the Lunar Years” using daily meteorological data from 699 stations across China (1966–2019). We compared temperature trends between Double-Beginning of Spring Lunar Years (BSLY) and Normal Years (NY) from the Beginning of Spring to Minor Heat to identify periods of “Rapid Warming” (RW), and assessed the intensity of “Dog Days Heat” (DDH) using the Temperature-Humidity Index (THI). The results reveal spatially varying consistency with the RW characteristic: southern China and the middle-lower Yellow River basin showed the strongest agreement, meeting the RW criterion within both 31 and 46 days after the Beginning of Spring. During the Dog Days period, BSLY exhibited significantly higher heat intensity in southern regions, with spatial variations influenced by topography and local climate conditions. This research confirms the scientific basis of the proverb and demonstrates that its applicability extends beyond its region of origin. The findings provide practical insights for integrating traditional knowledge into climate-resilient agricultural planning, supporting adaptive strategies under changing climatic conditions.

Authors

Institutions

Publication Details

Journal
Frontiers in Environmental Science
Published
2025-10-27
DOI
https://doi.org/10.3389/fenvs.2025.1661905
Primary Topic
Remote Sensing and Land Use
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Assessing the scientific basis and regional applicability of a Chinese agrometeorological proverb in a warming climate

Yongmei Huang, Shuo Chen, Binge Shen, Congying Shao et al.
Frontiers in Environmental Science
Remote Sensing and Land Use
article

Assessing the scientific basis and regional applicability of a Chinese agrometeorological proverb in a warming climate

Yongmei Huang, Shuo Chen, Binge Shen, Congying Shao, Yanmin Shuai
article en

Abstract

Chinese Agrometeorological Proverbs represent a valuable repository of traditional knowledge supporting agricultural practices; however, their scientific validity and regional applicability under climate change remain insufficiently examined. This study evaluates the proverb “The heat of Dog Days on double Beginning of Spring of the Lunar Years” using daily meteorological data from 699 stations across China (1966–2019). We compared temperature trends between Double-Beginning of Spring Lunar Years (BSLY) and Normal Years (NY) from the Beginning of Spring to Minor Heat to identify periods of “Rapid Warming” (RW), and assessed the intensity of “Dog Days Heat” (DDH) using the Temperature-Humidity Index (THI). The results reveal spatially varying consistency with the RW characteristic: southern China and the middle-lower Yellow River basin showed the strongest agreement, meeting the RW criterion within both 31 and 46 days after the Beginning of Spring. During the Dog Days period, BSLY exhibited significantly higher heat intensity in southern regions, with spatial variations influenced by topography and local climate conditions. This research confirms the scientific basis of the proverb and demonstrates that its applicability extends beyond its region of origin. The findings provide practical insights for integrating traditional knowledge into climate-resilient agricultural planning, supporting adaptive strategies under changing climatic conditions.

Frontiers in Environmental ScienceVol. 13
Aviation Industry Corporation of China (China) (CN), Zhejiang Normal University (CN), Xinjiang Institute of Ecology and Geography (CN), Technische Universität Berlin (DE)
National Key Research and Development Program of China
Openalex Percentile: Top 64%
Remote Sensing and Land Use
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.