基于地球静止卫星观测的华北平原冬小麦光合作用日循环研究  

Diurnal cycle of winter wheat photosynthesis in the North China Plain based on geostationary satellite observations

作　　者：彭浩宇 孙雷刚[3] 王绍强 郑晨[5] 陈世亮 李亭谕 谷鹏 夏烨 PENG Haoyu;SUN Leigang;WANG Shaoqiang;ZHENG Chen;CHEN Shiliang;LI Tingyu;GU Peng;XIA Ye(Hubei Key Laboratory of Regional Ecology and Environmental Change,China University of Geosciences(Wuhan),Wuhan 430070,China;Engineering Technology Innovation Center for Intelligent Monitoring and Spatial Regulation of Land Carbon Sinks,Ministry of Natural Resources,Wuhan 430070,China;Institute of Geographical Sciences,Hebei Academy of Sciences,Shijiazhuang 050011,China;State Key Laboratory of Biogeology and Environmental Geology,China University of Geosciences(Wuhan),Wuhan 430074,China;Key Laboratory of Ecosystem Network Observation and Modeling,Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences,Beijing 100101,China)

机构地区：[1]中国地质大学(武汉)区域生态过程与环境演变湖北省重点实验室,武汉430070 [2]自然资源部国土碳汇智能监测与空间调控工程技术创新中心,武汉430070 [3]河北省科学院地理科学研究所,石家庄050011 [4]中国地质大学(武汉)生物地质与环境地质国家重点实验室,武汉430074 [5]中国科学院地理科学与资源研究所生态系统网络观测与模拟重点实验室,北京100101

出　　处：《生态学报》2025年第5期2464-2478,共15页Acta Ecologica Sinica

基　　金：河北省科学院科技计划项目(22A03);中国地质大学(武汉)“地大学者”人才岗位科研启动经费(2019004);国家自然科学基金原创探索计划项目(42250205)。

摘　　要：华北平原是我国重要的粮食产区之一,监测作物生长对于维护国家粮食安全至关重要。近年来,高时空分辨率的地球静止卫星数据被广泛应用于植被冠层光合作用研究,为开展作物光合作用高精度监测提供了技术支撑。采用日本葵花8号静止卫星数据反演植被近红外反射率(NIRv)和光合有效辐射(PAR),利用两者乘积NIRvP估算植被总初级生产力(GPP),并基于2018年1月至7月华北平原冬小麦相关通量观测数据,探讨冬小麦生长季GPP日内变化差异和影响因子。结果表明:(1)NIRvP可以较好表征华北平原冬小麦GPP的动态变化,半小时尺度(R^(2)=0.75)、日尺度(R^(2)=0.83)和月尺度(R^(2)=0.97)均显著相关,且随着时间向夏季推移,NIRvP和GPP估计值(GPPe)均能捕捉到GPP日间质心由下午向上午转移的趋势;(2)PAR对GPP变化的作用会影响NIRvP表征GPP变化的能力,当PAR为GPP变化的主导因素时,NIRvP与GPP具有强相关性;(3)在季节尺度上,饱和水汽压差(VPD)和地表温度与生长季内GPP呈显著负相关,气温和PAR与GPP呈显著正相关,环境因素对GPP季节变化的贡献率为:温度>VPD>PAR;在日尺度上,PAR和温度是日内GPP变化的主要影响因素;在小时尺度上,VPD是GPP变化的主要影响因素。综上,地球静止卫星数据可以用于大范围监测华北平原冬小麦GPP日内变化,未来可结合高时空分辨率卫星遥感数据为华北平原农田可持续发展政策制定提供理论依据。The North China Plain is one of the important grain⁃producing regions in China.Monitoring crop growth in this region is crucial for ensuring national food security.In recent years,high spatial⁃temporal resolution geostationary satellite data has been widely applied in vegetation canopy photosynthesis research,providing technical support for high⁃precision monitoring of crop photosynthesis.Utilizing data from the Japanese Himawari⁃8 geostationary satellite to retrieve the near⁃infrared reflectance(NIRv)and photosynthetically active radiation(PAR)for vegetation.The product of NIRv and PAR,NIRvP,is used to estimate the gross primary productivity(GPP)of vegetation.Based on the estimated GPP and flux data of winter wheat in the North China Plain area from January to July 2018,this study investigates the differences and influencing factors of diurnal variations in GPP of winter wheat during the growing season.The results indicate that:(1)NIRvP can effectively characterize the dynamic changes of winter wheat GPP in the North China Plain,showing strong correlations at half⁃hourly(R^(2)=0.75),daily(R^(2)=0.83),and monthly(R^(2)=0.97)scales,both NIRvP and estimated GPP values(GPPe)capture the trend of GPP′s diurnal centroid shifting from afternoon to morning;(2)The effect of PAR on GPP variation influences NIRvP′s ability to characterize GPP changes.When PAR is the dominant factor of GPP variation,NIRvP shows a strong correlation with GPP;(3)Seasonally,vapor pressure deficit(VPD)and land surface temperature show significant negative correlations with GPP during the growth period,whereas air temperature and PAR exhibit significant positive correlations.The contribution rates of environmental factors to seasonal GPP variations are ranked as:temperature>VPD>PAR.On a daily scale,PAR and temperature are the main drivers of diurnal GPP variations,while VPD plays the dominant role at the hourly scale.In conclusion,geostationary satellite data can be utilized for large⁃scale monitoring of the diurnal cycle of win

关 键 词：华北平原 冬小麦 光合作用 地球静止卫星 日循环 

分 类 号：S51[农业科学—作物学]