中国农业气象 ›› 2026, Vol. 47 ›› Issue (10): 1632-1647.doi: 10.3969/j.issn.1000-6362.2026.10.008

• 农业生物气象栏目 • 上一篇    下一篇

青藏高原青稞生育期和产量对海拔依赖性变暖的响应

郝帅,张美恩,王春乙,宋艳玲,孙爽,李慧   

  1. 1. 中国气象科学研究院,北京 100081;2. 青岛市即墨区气象局,青岛 266200
  • 收稿日期:2025-07-20 出版日期:2026-10-20 发布日期:2026-10-19
  • 作者简介:郝帅,E-mail:haoshuai@cma.gov.cn
  • 基金资助:
    中国气象科学研究院科技发展基金项目(2024KJ009)

Response of Highland Barley Growth Period and Yield to Elevation−dependent Warming on the Qinghai−Tibet Plateau

HAO Shuai, ZHANG Mei-en, WANG Chun-yi, SONG Yan-ling, SUN Shuang, LI Hui   

  1. 1.Chinese Academy of Meteorological Sciences, Beijing 100081, China; 2.Jimo Meteorological Bureau, Qingdao 266200
  • Received:2025-07-20 Online:2026-10-20 Published:2026-10-19

摘要:

基于1981−2020年青藏高原122个气象站逐日气象资料以及4个农业气象观测站青稞生产资料,利用海拔分量分离模型,分离各气象站气温气候倾向率的海拔分量;利用调参校准后的APSIM−barley模型,模拟区域内青稞生育期和光温潜在产量,以光温潜在产量的高稳系数为指标,对青藏高原青稞种植潜力区进行区划,明确气温气候倾向率海拔分量与青稞模拟生育期日数、光温潜在产量以及光温潜在产量高稳系数的相关关系,探究青藏高原海拔依赖性变暖对青稞生长的影响,为缓解青藏高原地区粮食需求与有限耕地资源的矛盾,保障粮食安全提供理论依据。结果表明:(1)调参校准后的APSIM−barley模型可较好地模拟青藏高原青稞生长,所得播种−开花、开花−成熟模拟天数以及模拟产量与对应实测值的决定系数R2分别为0.764、0.641和0.554,均方根误差RMSE分别为2.17d、1.85d和473.88kg·hm−2,模型可用于后续分析。(2)青藏高原青稞种植较高潜力以上的区域主要分布在青海省东北部、中东部和南部,川西藏区北部、西北部和中部,以及西藏自治区南部和西南部地区。(3)总体上,平均气温气候倾向率的海拔分量与模拟的青稞生育期日数、潜在产量以及潜在产量高稳系数的正相关关系最高,与播种至开花、开花至成熟阶段模拟日数的相关系数r分别为0.25和0.36,与潜在产量、潜在产量高稳系数的相关系数r分别为0.37和0.36。即研究时段内海拔依赖性变暖有利于青稞生长,且受平均气温气候倾向率的影响最大。本研究通过分离气温气候倾向率的海拔分量,更加准确地评估了海拔依赖性变暖对高原青稞生长的影响,未来可为青藏高原调整优化青稞种植布局、指导青稞生产提供科学参考。

关键词: 青藏高原, 青稞, 海拔依赖性变暖, APSIM?barley模型, 种植潜力

Abstract:

Based on daily meteorological data from 122 weather stations on the Qinghai−Tibet plateau from 1981 to 2020 and agricultural meteorological data from 4 agrometeorological stations on highland barley production, this study used an elevation component separation model to separate the elevation component of the climate tendency rates of temperature at each meteorological station. Using a parameter−calibrated APSIM−barley model, the study simulated the growth period and light−temperature potential yield of highland barley in the region. The stability coefficient of the light−temperature potential yield was used as an indicator to divide potential highland barley planting areas on the Qinghai−Tibet plateau, clarifying the relationships between the elevation component of temperature climate tendency rates and simulated highland barley growth period, light−temperature potential yield and stability coefficient of light−temperature potential yield. This study aimed to explore the impact of elevation−dependent warming on highland barley growth on the Qinghai−Tibet plateau, providing a theoretical basis for alleviating the conflict between food demand and limited arable land resources in the region and ensuring food security. The results showed that the APSIM−barley model after parameter calibration could accurately simulate highland barley growth. The coefficients of determination R2 and RMSE between simulated and measured values were 0.764 and 2.17d for the duration from sowing to flowering, 0.641 and 1.85d for the duration from flowering to maturity, and 0.554 and 473.88kg·ha−1 for the yield. APSIM−barley model could be used for subsequent analysis. The zoning results indicated that high and relatively high highland barley planting potential areas were mainly distributed in the northeastern, central−eastern and southern parts of Qinghai, the northern, northwestern and central parts of the Tibetan areas in western Sichuan, and the southern and southwestern regions of the Tibet Autonomous region. Overall, the simulated highland barley growth period, potential yield and stability coefficient of the potential yield showed the strongest positive correlation with the elevation component of the mean temperature climate tendency rates. The correlation coefficient r was 0.25 and 0.36 for the number of days from sowing to flowering and from flowering to maturity, respectively, while it was 0.37 and 0.36 for the potential yield and the stability coefficient of potential yield, respectively. This indicated that the elevation−dependent warming during the study period had been favorable for highland barley growth, with the greatest effect arising from the mean temperature climate tendency rate. By separating the elevation component of temperature climate tendency rates, this study provides a more accurate assessment of the impact of elevation−dependent warming on highland barley growth on the plateau. In the future, this can inform the adjustment of highland barley planting layouts, and the findings can offer scientific guidance for highland barley production on the Qinghai−Tibet plateau.

Key words: Qinghai?Tibet plateau, Highland barley, Elevation?dependent warming, APSIM?barley model, Planting potential