Information Systems Frontiers

, Volume 17, Issue 2, pp 337–350 | Cite as

An integrated systems approach to plateau ecosystem management—a scientific application in Qinghai and Tibet plateau

  • Fang Liu
  • Zhuming Bi
  • Eric L. Xu
  • Qin Ga
  • Quanyu Yang
  • Yingzhong Yang
  • Lan Ma
  • Tana Wuren
  • Rili Ge


There is a global trend of the shortage of nature resources, such as water and wildlife, which have suffered dramatic losses due to over-use, pollution, habitat loss, and, increasingly, changes caused by global warming. To make the planet more sustainable, abundant data has to be collected and analyzed from ecosystems for scientific decision-making, restoring and preserving natural resources. In this paper, an integrated systems approach has been proposed for the data acquisition and analysis in information management of an ecosystem; it is a direct extension of an agriculture ecosystem enterprise information system (AEEIS) developed by Xu et al. (Genomics Proteomics Bioinformatics 3:5–17, 2008). The challenges in system development have been discussed, and the significance of the developed system has been illustrated through a thorough discussion and a case study on the genetic coding and expression of antelopes. In the case study, an IoT-based enterprise information system (EIS) has been applied to investigate the effects of the signal transducer and activator of transcription 3 (STAT3) on the adaptation mechanism to high altitude hypoxia. Two remarkable conclusions are (i) the levels of the STAT3 mRNA and protein vary from one tissue to another, and the highest level is in the lung tissue, and (ii) Tibetan antelope’s expression of STAT3 mRNA and protein are higher than that from plain sheep. Based on the fact that a Tibetan antelope has a higher adaptability to hypoxia; it has illustrated that the hypoxic STAT3-specific expression is one of the molecular bases of high altitude hypoxia adaptation in Tibetan antelope.


Medical Informatics Enterprise Systems Industrial Information Integration Engineering (IIIE) Internet of Things (IoT) Ecosystem Signal Transducer and Activator of Transcription 3 Genetic Cloning Genetic Expression Hypoxia Adaptation 



Agriculture ecosystem enterprise information system


Base pair


Complementary deoxyribonucleic acid


Coding sequence


Deoxyribonucleic acid binding domain




Deoxyribonucleic acid


Messenger ribonucleic acid


Manganese superoxide dismutase


Non shivering thermogenesis


Open reading frames


Rapid amplification of cDNA ends


Ribonucleic acid


Real-time polymerase chain reaction


Src homology 2 domain


System of systems


Signal transducer and activator of transcription 3


Transcription activation domain


Untranslated region


Uncoupling proteins 1


Vascular endothelial growth factor



This project has been supported by the National Basic Research Program of China (Grant No.2012CB518200), the Program of International Science and Technology Cooperation of China (Grant No.2011DFA32720) and the National Natural Science Foundation of China (Grant No.30393133).


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Copyright information

© Springer Science+Business Media New York 2012

Authors and Affiliations

  • Fang Liu
    • 1
  • Zhuming Bi
    • 2
  • Eric L. Xu
    • 3
  • Qin Ga
    • 1
  • Quanyu Yang
    • 1
  • Yingzhong Yang
    • 1
  • Lan Ma
    • 1
  • Tana Wuren
    • 1
  • Rili Ge
    • 1
  1. 1.Research Center for High Altitude Medical SciencesMedical College, Qinghai UniversityXiningChina
  2. 2.Department of EngineeringIndiana University Purdue University Fort WayneFort WayneUSA
  3. 3.College of Physicians and SurgeonsColumbia UniversityNew YorkUSA

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