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Constructing a knowledge system for theoretical research and practical application in macroecosystem science.

Ying yong sheng tai xue bao = The journal of applied ecology·2025
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[Discussion on the multi-disciplinary dimensional basic problems and methodology systems of macroecosystem science

Gui-Rui Yu1,2, Zhi Chen1,2, Wei-Kang Zhang1,2

  • 1Synthesis Research Center of Chinese Ecosystem Research Network/Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.

Ying Yong Sheng Tai Xue Bao = the Journal of Applied Ecology
|May 27, 2021
PubMed
Summary

Macroecosystem science (MES) integrates natural and humanities for global environmental challenges. This study proposes a networked infrastructure for macroecosystem research and knowledge fusion.

Keywords:
ecological systemmacroecosystemmacroecosystem sciencemethodologymulti-disciplinary dimension

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Area of Science:

  • Environmental Science
  • Ecology
  • Earth System Science

Background:

  • Societal needs to address global resource and environmental problems drive the development of macroecosystem science (MES).
  • MES necessitates the integration of natural sciences and humanities, fostering theoretical innovation and advanced knowledge fusion methodologies.

Purpose of the Study:

  • To establish a continental and global scale knowledge fusion methodological system for studying ecosystem status changes and resource-environmental effects.
  • To systematically elaborate on the fundamental scientific problems, logical relationships, and frontiers within macroecosystem science.
  • To discuss the principles and content for constructing a continental and global scale research methodological system.

Main Methods:

  • Systematic elaboration of multi-disciplinary scientific problems and frontiers in macroecosystem science.
  • Discussion on the ideology and content for constructing continental and global scale research methodologies.
  • Proposal for developing integrated "four-in-one" infrastructures: networked observation, networked experiment, numerical simulation, and knowledge fusion.

Main Results:

  • Identification of key scientific problems and frontiers in macroecosystem science.
  • Conceptual framework for a continental and global scale knowledge fusion methodological system.
  • Proposal for a "four-in-one" research infrastructure to support macroecosystem studies.

Conclusions:

  • The proposed methodological system and infrastructure are crucial for advancing macroecosystem science.
  • This research provides theoretical references for designing ecosystem observation networks at national (China) and global scales.
  • Integration of diverse scientific disciplines and data is essential for understanding and managing macroecosystems.