Development of ecosystem process model by integrating remote sensing, field observations and modeling research

本研究将不同类型的数值模拟模型应用于不同类型的生态系统，以了解生态系统过程，阐明过程中出现的现象，同时尝试对模型进行各种改进和发展。主要成果如下：(1)小松等人提出的生态系统过程模型。(2)将蒙大拿大学开发的Biome-BGC模型应用于上述人工针叶林，成功地估计了日本雪松从种植到现在的产量。(3)将Parton等人开发的世纪模型应用于富士山初级演替，需要对参数进行一些修改，以获得估算初级演替数据的成功结果。(4)将Biome-BGC模型应用于蒙古中部巴彦翁觉尔典型草地。(5)利用FPAR、LAI、气象资料(净辐射、日最低温度、日平均温度和VPD)和土地覆盖数据，应用生产效率模型估算1982~1999年全球陆地净初级生产力。

The study applied different types of numerical simulation models to a variety of ecosystems to understand ecosystem processes and clarify the phenomena occurring in the processes, at the same time, we tried various improvements and development of models. The major achievements are as follows :(1) A ecosystem process model developed by Komatsu et al. (2006) was applied to artificial conifer forest in the University Forest in Chiba to clarify the factors affecting starting time of transpiration depending on the location at the slope.(2) Biome-BGC model developed by Montana University was applied to the artificial conifer forest described above, which successfully estimate yield of Japanese cedar from planting to the present.(3) Century model developed by Parton and others was applied to the primary succession at Mount Fuji, which required some modifications in the parameters to show successful results in estimating the primary succession data.(4) Biome-BGC model was applied to typical grass land at Bayan Unjuul in the Central Prefecture of Mongolia. The effects of drought on biological production were estimated using the model.(5) Production efficiency model was applied to estimate global terrestrial net primary production from 1982 to 1999 based on FPAR, LAI, meteorological data (net radiation, daily minimum temperature, daily mean temperature and VPD) and land cover dataset.