High Daytime and Nighttime Temperatures Exert Large and Opposing Impacts on Winter Wheat Yield in China
Bibliographic Data
| ID | 22332041 |
|---|---|
| Authors | Xiaoguang Chen (0000-0002-3292-4529, Southwestern University of Finance and Economics), Guoping Tian (Southwestern University of Finance and Economics), Zhilong Qin (0009-0006-5559-0898, Southwestern University of Finance and Economics), Xiang Bi (0000-0001-8671-487X, Southwestern University of Finance and Economics) |
| Year | 2019 |
| Volume | 11 |
| Issue | 4 |
| Pages | 777-790 |
| Publication date | 2019-10-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Weather, Climate, and Society (JOURNAL) |
| Journal identifiers | ISSN: 1948-8327 • E-ISSN: 1948-8335 |
| Publisher | American Meteorological Society (PUBLISHER • US) |
| DOI | 10.1175/wcas-d-19-0026.1 |
| OpenAlex | W2964130085 |
| Language | EN |
| References cited | 34 |
We analyze a provincial-scale dataset of winter wheat yield, together with finescale daily weather outcomes from 1979 to 2011, to assess the responses of winter wheat yield in China to temperature fluctuations. Contrary to the majority of the previous literature, we find that winter wheat yield in China responded positively to higher nighttime temperature Tmin, with the positive Tmin effects most significant in the northern China winter wheat region. Consistent with the previous studies, winter wheat yield in China exhibited negative responses to higher daytime temperature Tmax. As a result of these opposing temperature effects on yield, the net economic impact of weather variations on China’s winter wheat sector is uncertain and is sensitive to specifications and data. Average winter wheat yield is projected to decline by 5.3%–7.0% by 2050 under the global climate model HadGEM2-ES and by 2.0%–3.4% under the NorESM1-M model
Agronomy · Atmospheric sciences · Biology · China · Climate change · Climatology · Daytime · Geography · Winter wheat · Agricultural risk and resilience · Climate change impacts on agriculture · Climate variability and models · Environmental Science · Ecology · Geology
Impacts of climate change on agriculture
The Inter-Sectoral Impact Model Intercomparison Project (ISI–MIP)
Robust Inference With Multiway Clustering
Wheat yield loss attributable to heat waves, drought and water excess at the global, national and subnational scales
Global scale climate–crop yield relationships and the impacts of recent warming
Global crop exposure to critical high temperatures in the reproductive period
How do inputs and weather drive wheat yield volatility? The example of Germany
| Citation velocity | historical |
|---|---|
| Highly cited | No |