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Review on forest ecosystem services assessment based on big data.

SONG Qing-feng, NIU Xiang, WANG Bing**   

  1. (Research Institute of Forest Ecology, Environment and Protection, Chinese Academy of Forestry, Key Laboratory of Forest Ecology and Environment, State Forestry
    Administration, Beijing 100091, China)
  • Online:2015-10-10 Published:2015-10-10

Abstract: Compared with traditional data, perception, acquisition, processing and expression of big data has been faced with enormous challenges. As forest ecosystem is the main body of terrestrial ecosystem, forest ecosystem services play an extremely important role in the global ecosystem. Forest ecosystem services assessment has entered the period of big data after the period of small data and surface big data. Forest ecosystem services assessment based on the longterm monitoring data from forest ecological stations could obtain more detailed information from the big data, and thus the multiscale evaluation could be carried out. At the same time, the random error brought by selection of small sample data could be avoided to make the evaluation results more reliable. So longterm monitoring data from forest ecological stations provide supports for forest resources protection and sustainable development.

Key words: clonal plant, tuber., clonal storage, mowing, potential invasive ability, compensatory growth