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1.Considering the parameters of remote sensing information and plant eco physiological characteristics,the crop yield estimation model was set up based on remote sensing information and plant photosynthesis model. Among them,Absorbed Photosynthetic Active Radiation(APAR),Crop Photosynthetic Assimilation Potential(CPAP) reflecting crop photosynthetic time,and photosynthetic rate were calculated by remote sensing information and meteorological data.
从遥感信息参数和植物生理生态参数出发 ,建立了遥感—光合作物产量机理模型(RSPCYM) ,其中包括直接以遥感信息获取吸收光合有效辐射 (APAR),将用以完整表示作物生育期中光合时间的作物光合同化势 (CPAP)引入到遥感—光合作物产量模型中,同时利用遥感信息求算作物光合速率 ,进而建立遥感—光合作物产量模型收藏指正
2.This model was consisted of six submodels: weather data generator, phenology submodel, photosynthesis biomass production submodel, crop growth dynamic submodel, dry matter production and yield formation submodel, and wheat potassium absorption and partitioning submodel. The model was founded mainly from the data of Ceres-wheat model.
在本模型中包括了六个子模型,亦即天气数据生成子模型、物候期子模型、光合物质生产子模型、群体生长动态子模型、于物质生产和产量形成子模型、小麦的钾素吸收与分配子模型收藏指正
3.STUDIES ON MODEL SYSTEM OF PRIMARY PROCESS IN PHOTOSYNTHESIS. (Ⅱ) FACTORS AFFECTING THE ELECTRON TRANSFER FROM PORPHYRIN TO ACCEPTORS.
光合作用原初过程的模型体系研究 (Ⅱ)影响卟啉和电子受体间电荷转移的因素收藏指正
4.The relationships between leaf net photosy nthetic rate of C3 and C4 plant with CO2 concentration intercellular, leaf tempe rature, and photosynthetic active radiation (PAR) were presented, respectively. The results show the numerical experiment may indicate the main characteristic o f plant photosynthesis in C3 and C4 plant, and further can be used to integrate with the regional climate model and act as land surface process scheme, and bett er understand the interaction between vegetation and atmosphere.
结果表明数值模拟的叶光合作用机制模型可以指示C3、C4植物的 光合作用的主要特征,进一步可以作为陆面过程模式的一部分耦合到区域气候模型中,更好 地研究植被和大气的相互作用关系。收藏指正
5.The relationships among vegetation carbon assimilation and remote sensing information such as NDVI (normalized difference vegetation index), LAI (leaf area index), APAR (absorbed photosynthetically active radiation), and TIR (thermal infrared radiation) were analyzed in this paper. It will be essential to establish the estimation model of carbon assimilation using remote sensing information and photosynthesis mechanism, and serve as an independent comparison to more detailed eco-physiological models of biological process.
简析了估测植被碳同化遥感-光合机理模型的重要性,阐述了遥感信息反演的参数与植被碳同化的关系,其中包括归一化差值光谱植被指数(NDVI)、叶面积指数(LAI)、吸收光合有效辐射(APAR)、热红外辐射(TIR)等与植被碳同化之间关系,为建立全遥感-光合机理碳同化模型,应用遥感信息估测植被碳同化提供依据。收藏指正
6.Biomes estimating model based on remote sensing information must contact with the plant photosynthetic parameters, these factors include crop photosynthesis characteristic, Photosynthetic Active Radiation (PAR) impacting on crop and Absorbed Photosynthetic Active Radiation (APAR). The remote sensing information includes the Normalized Difference Vegetation Index (NDVI), Leaf Area Index (LAI). In the paper, process from the information parameter of remote sensing and the parameter of plant physiologically, the relationship models among LAI, APAR, PAR and NDVI were analyzed.
本文通过对建立估测植被生物量遥感模型中所涉及的遥感信息参数与植被光合参数的关系分析,从理论和实验中阐明了反映植物长势的归一化植被指数(NDVI)和反映植物光合面积的叶面积指数(LAI)、光合有效辐射(PAR)及吸收光合有效辐射(APAR)的相互关系,对在实际中建立更为机理的生物量遥感模型提供可供进一步参考的依据。收藏指正
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