基于地面观测的陆地生态系统碳储量多源数据整合方法  

The integrative method of multi-source data on terrestrial ecosystem carbon storage from field observation

作　　者：徐丽 何念鹏[1,2,3] 于贵瑞 赵航[1] 柴华 XU Li;HE Nianpeng;YU Guirui;ZHAO Hang;CHAI Hua(Key Laboratory of Ecosystem Network Observation and Modeling,Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences,Beijing 100101,China;College of Resources and Environment,University of Chinese Academy of Sciences,Beijing 100049,China;Key Laboratory of Vegetation Ecology,Ministry of Education,Institute of Grassland Science,Northeast Normal University,Changchun 130024,China)

机构地区：[1]中国科学院地理科学与资源研究所生态系统网络观测与模拟重点实验室,北京100101 [2]中国科学院大学资源与环境学院,北京100049 [3]东北师范大学草地科学研究所植被生态科学教育部重点实验室,长春130024

出　　处：《生态学报》2023年第11期4359-4368,共10页Acta Ecologica Sinica

基　　金：国家自然科学基金项目(32171544,42141004);国家重点研发计划项目(2016YFC0500202)。

摘　　要：陆地生态系统有机碳储量通常指一定面积的植被、土壤和凋落物的有机碳存储量总和。准确评估陆地生态系统碳储量现状和变化,对于揭示全球变化对陆地生态系统碳库的影响、指导政府决策者制定气候应对策略和评估现有措施的有效性等具有重要意义。地面观测数据是生态系统碳储量及其变化评估的重要数据源之一,但目前除少数生态站开展了长期地面数据观测外,绝大多数地面观测数据呈现出多源化、相互不匹配、时间不连续等特点;因此,迫切需要发展科学、规范化的多源数据整合方法,将这些多源、分散的地面观测数据整编形成长期系统的地面动态观测数据集,提高数据资源价值。从陆地生态系统碳储量组分及其基本算法着手,系统梳理了植被和土壤碳储量估算中植被不同器官生物量和碳含量、土壤碳含量、土壤容重等关键参数的观测现状,并详细介绍了这些关键参数的科学推导方法。此外,也进一步讨论了多源地面观测碳储量数据整合的方法,并展望了该方法体系未来的发展方向,期待能为后续相关研究提供可借鉴的规范性方法。The organic carbon(C)of terrestrial ecosystems refers to the total organic C storage of a certain area of vegetation,soil,and litter.It is one of the important parameters for evaluating the C sequestration effect of terrestrial ecosystems.Accurate estimation of terrestrial ecosystem C storage and changes will not only help reveal the impact of global changes on terrestrial ecosystem C pools,but also help policy makers to develop climate response strategies and assess the effectiveness of the existing measures.Field observation data is one of the critical data sources for C storage estimation,however,only a few ecological stations have carried out the long-term observation.Most of the field observation data show characteristics of multiple-source,mismatch,and time discontinuities.Therefore,it is urgent to develop a scientific and standardized multi-data integration technology to reorganize these multi-source and scattered field observation data into a long-term systematically dynamic observation dataset,so as to increase the value of the data sources.In this paper,we systematically sorted out the observation status of some key parameters such as biomass and C content in different vegetation organs,soil organic C content,and bulk density in estimation of the vegetation and soil C storage.Additionally,we introduced scientific derivation methods of these key parameters and analyzed the method of multi-source field observation C storage data integration,which would provide reference for subsequently related research.

关 键 词：陆地生态系统 碳储量 植被 土壤 多源数据 数据整合 

分 类 号：X171.1[环境科学与工程—环境科学]