Big Data Research ›› 2022, Vol. 8 ›› Issue (1): 84-97.doi: 10.11959/j.issn.2096-0271.2022008

• SPECIAL ISSUE: SCIENTIFIC DATA GOVERNANCE • Previous Articles     Next Articles

Classification of ecosystem long term observation data product

Wen SU1,2, Li ZHANG1,2, Xuebing GUO1,2, Honglin HE1,2, Xinzhai TANG1,2, Xiaoli REN1,2   

  1. 1 Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    2 National Ecosystem Science Data Center, Beijing 100101, China
  • Online:2022-01-15 Published:2022-01-01
  • Supported by:
    The National Key Research and Development Program of China(2019YFE0126500))

Abstract:

The long-term ecosystem observation can provide data of water, soil, meteorology and biology to support ecosystem evaluation and management.At present, there is a lack of long-term observation data product system of ecosystem in China, so no effective guidance can be provided for the production of data products.Firstly the data product system of international eco-environmental research networks was analyzed.Then a long-term observation data product system of ecosystem based on the data product classification, data product gradation two dimensions was proposed, combining the existing long-term observation protocols and data resources of ecosystem in China.It could not only express the content of long-term observation data products, but also the process of data product production and processing, and had been applied to design the long-term observation data product system of forest ecosystem of Chinese ecosystem research network (CERN).This data product system has good practical value and will play an important role in improving the value of long-term observation data.

Key words: ecosystem long term observation, data product, ecosystem element, data product classification, data product gradation

CLC Number: 

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