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应用生态学报 ›› 2016, Vol. 27 ›› Issue (9): 2771-2778.doi: 10.13287/j.1001-9332.201609.017

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不同步长尺度下BEPS碳循环模型的协同应用

卢伟1, 范文义1*, 田甜2   

  1. 1东北林业大学林学院, 哈尔滨 150040;
    2国家林业局北方航空护林总站, 哈尔滨 150040
  • 收稿日期:2016-01-21 发布日期:2016-09-18
  • 通讯作者: * E-mail: fanwy@163.com
  • 作者简介:卢 伟,女,1988年生,博士研究生. 主要从事林业遥感及碳循环模型研究. E-mail: sanpangzi1228@126.com
  • 基金资助:
    国家科技支撑计划项目(2011BAD37B01)和国家自然科学基金项目(31300533)资助

Collaborative application of BEPS at different time steps.

LU Wei1, FAN Wen-yi1*, TIAN Tian2   

  1. 1College of Forestry, Northeast Forestry University, Harbin 150040, China;
    2Northern Aerial Forest Fire Protection Station of State Forestry Administration, Harbin 150040, China
  • Received:2016-01-21 Published:2016-09-18
  • Contact: * E-mail: fanwy@163.com
  • Supported by:
    This work was supported by the National Science & Technology Pillar Program (2011BAD37B01) and the National Natural Science Foundation of China (31300533)

摘要: 小时步长的BEPSHourly模型可以模拟植被日内生态生理过程,但模型的结构及解算过程复杂耗时,常适用于站点尺度进行参数优化及总初级生产力(GPP)、净初级生产力(NPP)的日内变化分析;日步长的BEPSDaily模型解算日光合速率方法简单,不涉及众多的迭代过程,模型耗时较少,适用于模拟计算区域初级生产力及分析区域碳源/汇空间分布.本研究根据BEPSDaily及BEPSHourly各自的模型特点及适用性,提出了小时步长及日步长BEPS模型的协同应用研究方法.首先利用BEPSHourly模型在站点尺度进行主要光合作用参数——最大羧化速率(Vc max)、最大电子传递速率(Jmax)的优化,将优化后主要光合作用参数引入区域BEPSDaily模型进行参数修正,再基于优化修正后的区域BEPSDaily模型进行区域NPP估测.结果表明: 基于通量数据对光合作用主要参数进行优化可以提高模型的模拟能力;2011年,帽儿山地区不同森林类型的初级生产能力依次为阔叶林>针阔混交林>针叶林;本研究提出的不同步长尺度碳循环模型协同应用研究方法能够有效地进行主要光合作用参数的优化,模拟GPP、NPP的月平均日内变化,快速估测区域NPP并分析碳源/汇空间分布.

Abstract: BEPSHourly is committed to simulate the ecological and physiological process of vegetation at hourly time steps, and is often applied to analyze the diurnal change of gross primary productivity (GPP), net primary productivity (NPP) at site scale because of its more complex model structure and time-consuming solving process. However, daily photosynthetic rate calculation in BEPSDaily model is simpler and less time-consuming, not involving many iterative processes. It is suitable for simulating the regional primary productivity and analyzing the spatial distribution of regional carbon sources and sinks. According to the characteristics and applicability of BEPSDaily and BEPSHourly models, this paper proposed a method of collaborative application of BEPS at daily and hourly time steps. Firstly, BEPSHourly was used to optimize the main photosynthetic parameters: the maximum rate of carboxylation (Vc max) and the maximum rate of photosynthetic electron transport (Jmax) at site scale, and then the two optimized parameters were introduced into BEPSDaily model to estimate regional NPP at regional scale. The results showed that optimization of the main photosynthesis parameters based on the flux data could improve the simulate ability of the model. The primary productivity of different forest types in descending order was deciduous broad-leaved forest, mixed forest, coniferous forest in 2011. The collaborative application of carbon cycle models at different steps proposed in this study could effectively optimize the main photosynthesis parameters Vc max and Jmax, simulate the monthly averaged diurnal GPP, NPP, calculate the regional NPP, and analyze the spatial distribution of regional carbon sources and sinks.