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Crop yield and CO_2 fixation monitoring over Asia by a photosynthetic-sterility model comparing with MODIS and carbon amounts in grain yields

机译:通过光合作用模型与MODIS和谷物产量中的碳含量比较,对亚洲的作物产量和CO_2固定进行监测

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The authors have developed a photosynthesis crop model for grain production under the background of climate change and Asian economic growth in developing countries. This paper presents an application of the model to grain fields of paddy rice, winter wheat, and maize in China and Southeast Asia. The carbon hydrate in grains has the same chemical formula as that of cellulose in grain vegetation. The partitioning of carbon in grain plants can validate fixation amounts of computed carbon using a satellite-based photosynthesis model. The model estimates the photosynthesis fixation of rice reasonably in Japan and China. Results were validated through examination of carbon in grains, but the model tends to underestimate results for winter wheat and maize. This study also provides daily distributions of the PSN, which is the CO_2 fixation in Asian areas combined with a land-cover distribution classified from MODIS data, NDVI from SPOT VEGETATION, and meteorological re-analysis data by European Centre for Medium-Range Forecasts (ECMWF). The mean CO_2 and carbon fixation rates in paddy areas were 25.92 (t CO_2/ha) and 5.28 (t/ha) in Japan, respectively. The method is based on routine observation data, enabling automated monitoring of crop yields.
机译:作者开发了一种在气候变化和发展中国家亚洲经济增长背景下用于谷物生产的光合作用作物模型。本文介绍了该模型在中国和东南亚的水稻,冬小麦和玉米的粮田中的应用。谷物中的水合物碳与谷物植被中的纤维素具有相同的化学式。谷物植物中碳的分配可以使用基于卫星的光合作用模型验证计算碳的固定量。该模型可以合理地估算日本和中国水稻的光合作用。通过检查谷物中的碳验证了结果,但该模型往往低估了冬小麦和玉米的结果。这项研究还提供了PSN的每日分布,即亚洲地区的CO_2固定,结合了MODIS数据,SPOT VEGETATION的NDVI以及欧洲中距离预报中心的气象重新分析数据( ECMWF)。日本稻田的平均CO_2和固碳率分别为25.92(t CO_2 / ha)和5.28(t / ha)。该方法基于常规观察数据,可以自动监测作物产量。

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