Abstract:

[Objective] Forest field stations dynamically carry on forest biomass observation during a long period, the obtained data possess important values to support calculation of forest carbon storage amount and estimation of forest productivity, and so on. Tree biomass weight (TBW) is the basis for calculating forest biomass. Thus, good TBW data quality is essential to TBW long-term observation, and is also the foundation for obtaining correct conclusions via scientific research. [Methods] Method, standardization, and advanced information technology for TBW data quality control (QC) are three aspects to promote data quality. Firstly, the paper introduces the flow of TBW data production, TBW data schema, and standardization of data items in forest field stations of the Chinese Ecosystem Research Network (CERN). Secondly, the main framework, standards, and methods of data QC are described. Lastly, the paper illustrates how information technologies (program by OLE technology, multi-processing computation by Python) are applied to the procedure of checking the validity of field observed data and derived data. [Results] The paper presents a way for quick validation check of data consistency and accuracy, which is helpful in formulating standardized QC flow utilized and referred by forest field stations to process their multiple plots of TBW data efficiently.

Key words: forest tree, tree biomass weight, data quality control, Object Linking and Embedding, Chinese Ecosystem Research Network