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草业学报 ›› 2013, Vol. 22 ›› Issue (6): 280-294.DOI: 10.11686/cyxb20130634

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草地土壤有机碳储量模拟技术研究

任继周,林慧龙*   

  1. 草地农业生态系统国家重点实验室 兰州大学草地农业科技学院 甘肃省草原生态研究所,甘肃 兰州 730020
  • 出版日期:2013-12-20 发布日期:2013-12-20
  • 通讯作者: 任继周(1924-),男,山东平原人,中国工程院院士。
    *通讯作者。E-mail:linhuilong@lzu.edu.cn
  • 作者简介:任继周(1924-),男,山东平原人,中国工程院院士。
  • 基金资助:
    国家自然科学基金项目(31172250)资助。

Study on the simulation methods of grassland soil organic carbon: a review

REN Ji-zhou, LIN Hui-long   

  1. State Key Laboratory of Grassland Agro-ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Gansu Grassland Ecological Research Institute, Lanzhou 730020, China
  • Online:2013-12-20 Published:2013-12-20

摘要: 探知全球草地生态系统的土壤有机碳储量是调控全球陆地碳循环过程的必要环节和最大难题之一。本文回顾了草地生态系统土壤有机碳储量的研究进展, 分析了现有的草地土壤有机碳模拟技术——草地土壤有机碳模型的主要技术特征,就模型的基础数据、模型的结构和模型内的函数参数等三方面,讨论了现存草地土壤有机碳模拟技术的缺陷,提出样地清查、遥感分析和模型模拟方法的综合运用将是解决这一问题的根本途径。最后,提出了一种基于草地综合顺序分类系统(comprehensive sequential classification system of grassland, CSCS)的草地土壤有机碳储量分类指数模型的构架。将样地清查、基于CSCS的草地土壤有机碳分类指数模型与遥感的高时空分辨率特征三者耦合起来,分析不同草地类型、气候区划等生态条件下的草地土壤有机碳特征,以求提高草地土壤有机碳估算结果的准确性。此外,草地生态系统土壤的碳汇效应等生态功能与放牧利用不存在绝对对立关系,实现放牧的现代化转型是以对草地土壤有机碳储量精准估算为前提的。

Abstract: Grassland soils are considered to have great potential for carbon sequestration. It is an essential part and also one of the biggest challenges to detect the soil organic carbon storages of global grassland ecosystem for regulating the global carbon cycle. This paper reviewed the research progress on soil organic carbon stocks of grassland ecosystem, and analyzed the main technical features of the existing models for simulating soil organic carbon. The existing technical weakness of the models, especially involving data accuracy, model structure and function formulization, are inquired in detail with relevant suggestions for improvement provided. The integrated use of sample inventory, remote sensing analysis, and simulating models would be the fundamental way to solve this problem. Finally, a framework of the Classification Indices-based Model on grassland soil organic carbon was presented based on the comprehensive sequential classification system of grassland (CSCS). Coupling the sample inventory and the Classification Indices-based Model with the high spatial and temporal resolution characteristic of remote sensing, the accuracy of the estimating grassland soil organic carbon will be improved greatly among the different grassland classes, ecological or climatic zones. There is no absolute conflict between the capacity of grassland soil carbon sink and grazing utilization, and precise estimation of grassland soil organic carbon is a premise of the grazing modern transformation.

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