论文部分内容阅读
基于中国气象局沈阳大气环境研究所锦州农田生态系统定位观测站2004—2008年玉米各器官(根、茎和叶)生物量及相应环境因子的连续动态观测资料,检验了Friedlingstein模型在站点与日尺度上的适用性,并发展了基于施肥、土壤温度和土壤有效水分系数的玉米农田土壤有效养分系数模型,建立了基于功能平衡假说的日尺度的玉米光合产物的分配模型.结果表明:与Friedlingstein模型相比,本文所建的玉米光合产物分配模型能更好地模拟玉米光合产物分配动态,为准确模拟日尺度的玉米农田生态系统生产力提供了技术支持.
Based on the continuous dynamic observation data of biomass and corresponding environmental factors of various organs (roots, stems and leaves) of corn from 2004 to 2008 in Jinzhou Agro-Ecosystem Positioning Observatory, Shenyang Institute of Atmospheric Environment, Shenyang Institute of Atmospheric Environment, China, Friedlingstein model was tested on sites and days Scale and its applicability, and developed a soil active nutrient coefficient model of maize farmland based on fertilization, soil temperature and soil effective moisture coefficient, and established a daily-scale distribution model of maize photosynthetic products based on the functional balance hypothesis.The results show that with the Friedlingstein Compared with the model, the distribution model of maize photosynthesis product established in this paper can better simulate the dynamic distribution of photosynthate in maize and provide technical support for accurately simulating the productivity of corn farmland ecosystem on a daily scale.