Spatiotemporal variation in rice water requirements and area in the cold rice cultivation region of China: Past and Future

Autor: Peng Huang, Hua Xie, Yiting Yang, Xuhua Hu, Chaoli Liu, Yang Xu, Changhong Song, Chunsheng Dai, Shahbaz Khan, Yuanlai Cui, Yufeng Luo
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Agricultural Water Management, Vol 298, Iss , Pp 108858- (2024)
Druh dokumentu: article
ISSN: 1873-2283
DOI: 10.1016/j.agwat.2024.108858
Popis: Studying rice water requirements (ETc) and area is crucial for developing irrigation schedules and adjusting crop structures. The cold rice cultivation region is China’s main high-quality rice production base and has the lowest temperature, highest latitude, and greatest sensitivity to climate. However, little research has focused on its past rice distributions and ETc, and its future variations are not yet clear. Past ETc was calculated by the Penman–Monteith and crop-corrected coefficient method, and past rice distribution patterns were analyzed based on the annual paddy rice planting area datasets. Future reference crop evapotranspiration (ET0) was projected by the statistical downscaling model (SDSM) based on the CMIP6 ensemble of daily predictor variables. The food and agriculture projections to 2050 datasets were used to project future rice areas, and the patch-generating land use simulation (PLUS) model simulated rice distribution. Finally, we projected future rice water supply demand. The results showed that ETc showed a decreasing trend, and the total rice area and production increased by 4.52 and 5.49 times from 1990 to 2020. Both in the past and future, rice was densely distributed in and expanded into the Sanjiang and Songnen Plains, and the spatial characteristic of ETc was as follows: the west was larger than the east, the north was larger than the south, and the central was in between. In the four future periods, the total ETc demonstrated an upward trend, increasing by 7.44–21.04, 15.64–34.74, 24.74–45.84, and 16.14–41.14 mm under the SSP126, SSP245, SSP370, and SSP585 scenarios, respectively, compared to the historical period. And it is generally ranked as SSP370 > SSP245 > SSP126. Finally, we projected future rice water supply meet the demand caused by rice area expansion.
Databáze: Directory of Open Access Journals