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区域尺度森林土壤碳储量估算方法及人为影响因素研究进展

A Review of Estimating Methods and Human Factors in Forest Soil Carbon Storage for Regional-Scale Analysis

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【作者】 李晓龙张雨鉴宋娅丽

【Author】 Li Xiaolong;Zhang Yujian;Song Yali;College of Ecology and Environment,Southwest Forestry University;

【通讯作者】 宋娅丽;

【机构】 西南林业大学生态与环境学院

【摘要】 指出了研究方法不统一是造成不同学者估算森林土壤碳储量结果不同的主导因素,所得结果必然存在极大的不确定性。归纳和总结了近年来区域尺度森林土壤碳储量研究中的估测方法及人为影响因素,为寻求统一的研究方法提供理论依据。提出了应根据不同研究区域特征及研究目的选择合适的土层厚度、研究方法,加强和完善森林生态系统定位观测,提高森林生态系统土壤碳储量中各环节数据的准确性,增加必要的实测数据,提高精度;同时采用先进的地理信息系统(GIS)和遥感(RS)图像数据处理等技术,利用高精度遥感影像数据,与土壤实测值、模型方法相结合,建立完整的森林生态系统土壤碳储量数据库。在研究中应注重人为活动、土地利用和土地覆盖变化对森林生态系统土壤碳储量的影响,使得碳储量的估算更加注重多因素的综合影响并能在一定程度上揭示碳储量的动态变化过程及其变化机理。

【Abstract】 The inconsistency of research methods is the leading factor for different scholars to estimate the results of forest soil carbon storage. The research data has great uncertainty. Therefore, estimation methods and human factors in forest soil carbon storage for regional-scale analysis in recent year were summarized in this paper, and the purpose was to provide theoretical basis for seeking unified research methods to estimate soil storage. In the future, according to the characteristics of different research areas and research purposes, the appropriate soil thickness and research methods should be selected to strengthen and improve the positioning observation of forest ecosystems a and experimental data should be increase to improve precision. Advanced geographic information system(GIS) and remote sensing(RS) combined with measured date and model method will be used to estimate forest soil carbon storage.Simultaneously, high resolution remote sensing image data should be used to establish a complete database of forest ecological system of soil carbon storages. In addition, human activities, land use and land-use changes of multi-factor comprehensive influence should be paid more attention on the effect of forest ecosystem soil carbon, and the dynamic change process and mechanism of carbon storage can be revealed.

【基金】 云南省应用基础研究青年项目(编号:2016FD044);西南林业大学科研启动基金(编号:111443);云南省高校优势特色重点学科(生态学)建设项目(编号:050005113111);云南省“三区”科技人才专项
  • 【文献出处】 绿色科技 ,Journal of Green Science and Technology , 编辑部邮箱 ,2019年18期
  • 【分类号】S718.5
  • 【被引频次】1
  • 【下载频次】343
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