中国农业气象 ›› 2025, Vol. 46 ›› Issue (5): 669-681.doi: 10.3969/j.issn.1000-6362.2025.05.008

• 农业生物气象栏目 • 上一篇    下一篇

基于CLM5模型CO2升高及水肥限制对春小麦生长影响的验证

周文慧,张少波,吕雅琼   

  1. 1.成都信息工程大学大气科学学院/高原大气与环境四川省重点实验室,成都 610225;2. 中国科学院、水利部成都山地灾害与环境研究所,成都 610229
  • 收稿日期:2024-05-15 出版日期:2025-05-20 发布日期:2025-05-15
  • 作者简介:周文慧,E-mail:18584894150@163.com
  • 基金资助:
    中国科学院、水利部成都山地灾害与环境研究所科研项目(IMHE−ZDRW−06);国家自然科学基金项目(42475101);国家自然科学基金青年项目(42105034)

Validation of Simulation on Spring Wheat Growth Response to Elevated CO2 and Water and Fertilizer Restriction Base on CLM5 Model

ZHOU Wen-hui, ZHANG Shao-bo, LV Ya-qiong   

  1. 1.School of Atmospheric Sciences, Chengdu University of Information Technology/Plateau Atmosphere and Environment Key Laboratory of Sichuan Province, Chengdu 610225, China; 2. Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610229
  • Received:2024-05-15 Online:2025-05-20 Published:2025-05-15

摘要:

研究陆面过程模式最新版本(CLM5)中作物生长对CO2浓度升高、灌溉以及氮肥限制条件的响应是否合理,对作物模块的进一步发展具有重要作用。本文利用位于美国亚利桑那州全球首个自由大气CO2浓度加富实验场(FACE实验)的春小麦观测数据,验证CLM5模型春小麦生长对CO2浓度升高、灌溉氮肥限制的响应及相互作用。结果表明:(1)经参数调整,CLM5模型能合理模拟春小麦生长发育动态;平均地上生物量模拟结果被高估,差异为92.0g×m−2平均籽粒产量模拟结果被低估,差异为39.0g×m−22CO2浓度增加利于春小麦生长和产量提升,CO2浓度增加下实际产量平均增加14.3%,模拟产量增加22.7%,模拟结果相较于实际观测存在一定程度高估。3水分和氮肥限制不利于春小麦生长,导致春小麦产量下降,实际产量分别减少28.5%22.4%。增加CO2浓度能缓解由水分限制引起的减产,但会加剧氮肥限制导致的减产效应。CLM5模型可捕捉到环境变化对春小麦产量的影响,但存在一定偏差,水分限制条件下春小麦模拟产量减少5.5%,氮肥限制条件下模拟产量减少44.5%,较实际情况存在低估CLM5模型能较合理模拟春小麦生长,一定程度上可较好地表达CO2浓度升高以及水肥限制对春小麦生长和产量的影响。

关键词:

CLM5模型, 春小麦生长和产量, CO2浓度升高, 水肥限制, FACE实验

Abstract:

Assessing the responses of crop growth to elevated CO₂, irrigation and nitrogen restriction in the latest version of the Community Land Model (CLM5) is crucial for the further development of its crop module. In this study, spring wheat observations from the pioneer Free-Air CO2 Enrichment Experiment Site (FACE Experiment) located in Maricopa, Arizona, USA were used to validate the response of the CLM5 model spring wheat growth to elevated CO2 concentration, irrigation and nitrogen fertilization, as well as the interactions among them. The results showed that: (1) after parameter calibration, the CLM5 model was able to reasonably simulate the seasonal growth of spring wheat, but there was a certain degree of bias, with an overestimation in simulating above-ground biomass by 92.0g×m−2, and an underestimation in modeling grain yield by 39.0g×m−2. (2) Elevated CO₂ concentration promoted spring wheat growth and yield enhancement. Under increased CO₂ conditions, the observed yield increased by an average of 14.3%, while the simulated yield showed an average increase of 22.7%, indicating a certain degree of overestimation in the model compared to actual observations. (3) Irrigation and nitrogen limitations were detrimental to the growth of spring wheat and led to a decrease in spring wheat yield, with the observed yield decreased by an average of 28.5% and 22.4%, respectively. The elevated CO2 mitigated the yield reductions caused by moisture restriction but exacerbated those caused by nitrogen fertilizer restrictionThe CLM5 model was able to capture these environmental changes effects on spring wheat yields, but with bias. Simulated spring wheat yields were decreased by 5.5% under water restriction and 44.5% under nitrogen fertilizer restriction. The CLM5 model can reasonably simulate the growth of spring wheat, and can to some extent simulate the effects of increased CO2 concentration and water and fertilizer restriction on the growth and yield of spring wheat.

Key words:

CLM5 model, Growth and yield of spring wheat, Elevated CO2 concentration, Water and fertilizer restriction, FACE experiment