Chinese Journal of Intelligent Science and Technology ›› 2023, Vol. 5 ›› Issue (3): 283-292.doi: 10.11959/j.issn.2096-6652.202325

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Parallel Sharhili: a new approach to sustainable development and intelligent management of ecological resources

Peiding PI1, Qinghua NI2,3,4, Jing YANG3,5, Mengzhen KANG3,5, Xuanhao LI6, Yingkun DU7, Fei-Yue WANG2,3,5   

  1. 1 School of Social &Political Sciences, The University of Glasgow, Scotland G12 8QQ, the United Kingdom
    2 Department of Engineering Science, Faculty of Innovation Engineering, Macau University of Science and Technology, Macau 999078, China
    3 State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
    4 Qingdao Academy of Intelligent Industries, Qingdao 266109, China
    5 School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China
    6 Faculty of Land and Food Systems, University of British Columbia, Vancouver 10027, Canada
    7 The People’s Government of Bortala Mongolian Autonomous Prefecture, Bortala Mongolian 833412, China
  • Revised:2023-08-19 Online:2023-09-01 Published:2023-09-26
  • Supported by:
    The National Natural Science Foundation of China(61533019);The National Natural Science Foundation of China(62076239)

Abstract:

Sharhili Nature Reserve is a natural treasure which enjoys both rare biological resources and incalculable ecological value, and it is known as “China’s last pure land” and “rare natural gene pool”.To ensure the sustainable development of this natural treasure, this study proposes the concept of “Parallel Sharhili”, which comprehensively assists in the precise management of ecological resources through intelligent means.The core idea involves utilizing “artificial systems” for description to build high-precision models, “computational experiments” for prediction to analyze ecosystem changes, and “parallel execution” for prescription or control and management to scientifically formulate conservation strategies.This study explores an intelligent management model for nature reserves, aiming at promoting the sustainable development of the reserve and its precious biological resources.

Key words: ecosystem, Sharhili, parallel system, parallel intelligence, CPSS, ACP, intelligent management, sustainability

CLC Number: 

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