IDEAS home Printed from https://ideas.repec.org/a/spr/infosf/v17y2015i2d10.1007_s10796-012-9406-5.html
   My bibliography  Save this article

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

Author

Listed:
  • Fang Liu

    (Medical College, Qinghai University)

  • Zhuming Bi

    (Indiana University Purdue University Fort Wayne)

  • Eric L. Xu

    (Columbia University)

  • Qin Ga

    (Medical College, Qinghai University)

  • Quanyu Yang

    (Medical College, Qinghai University)

  • Yingzhong Yang

    (Medical College, Qinghai University)

  • Lan Ma

    (Medical College, Qinghai University)

  • Tana Wuren

    (Medical College, Qinghai University)

  • Rili Ge

    (Medical College, Qinghai University)

Abstract

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.

Suggested Citation

  • Fang Liu & Zhuming Bi & Eric L. Xu & Qin Ga & Quanyu Yang & Yingzhong Yang & Lan Ma & Tana Wuren & Rili Ge, 2015. "An integrated systems approach to plateau ecosystem management—a scientific application in Qinghai and Tibet plateau," Information Systems Frontiers, Springer, vol. 17(2), pages 337-350, April.
    • Handle: RePEc:spr:infosf:v:17:y:2015:i:2:d:10.1007_s10796-012-9406-5
    DOI: 10.1007/s10796-012-9406-5
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10796-012-9406-5
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10796-012-9406-5?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ling Li & Ricardo Valerdi & John N. Warfield, 2008. "Advances in enterprise information systems," Information Systems Frontiers, Springer, vol. 10(5), pages 499-501, November.
    2. Ling Li & Li Xu & Hueiwang Anna Jeng & Dayanand Naik & Thomas Allen & Maria Frontini, 2008. "Creation of environmental health information system for public health service: A pilot study," Information Systems Frontiers, Springer, vol. 10(5), pages 531-542, November.
    3. Jason J. Jung & Yue-Shan Chang & Ying Liu & Chao-Chin Wu, 2012. "Advances in intelligent grid and cloud computing," Information Systems Frontiers, Springer, vol. 14(4), pages 823-825, September.
    4. Guangping Huang & Ling Li, 2009. "A mathematical model of infectious diseases," Annals of Operations Research, Springer, vol. 168(1), pages 41-80, April.
    5. Benedikt Martens & Frank Teuteberg, 2012. "Decision-making in cloud computing environments: A cost and risk based approach," Information Systems Frontiers, Springer, vol. 14(4), pages 871-893, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Pan Wang & Ricardo Valerdi & Shangming Zhou & Ling Li, 2015. "Introduction: Advances in IoT research and applications," Information Systems Frontiers, Springer, vol. 17(2), pages 239-241, April.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Chulhwan Chris Bang, 2015. "Information systems frontiers: Keyword analysis and classification," Information Systems Frontiers, Springer, vol. 17(1), pages 217-237, February.
    2. Xiaolong Zheng & Daniel Zeng & Fei-Yue Wang, 2015. "Social balance in signed networks," Information Systems Frontiers, Springer, vol. 17(5), pages 1077-1095, October.
    3. John Oredo & Denis Dennehy, 2023. "Exploring the Role of Organizational Mindfulness on Cloud Computing and Firm Performance: The Case of Kenyan Organizations," Information Systems Frontiers, Springer, vol. 25(5), pages 2029-2050, October.
    4. Ni Li & Minghui Sun & Zhuming Bi & Zeya Su & Chao Wang, 2014. "A new methodology to support group decision-making for IoT-based emergency response systems," Information Systems Frontiers, Springer, vol. 16(5), pages 953-977, November.
    5. Mingwen Yang & Varghese S. Jacob & Srinivasan Raghunathan, 2021. "Cloud Service Model’s Role in Provider and User Security Investment Incentives," Production and Operations Management, Production and Operations Management Society, vol. 30(2), pages 419-437, February.
    6. Jewan Singh & Vibhakar Mansotra, 2019. "Towards Development of an Integrated Cloud-Computing Adoption Framework — A Case of Indian School Education System," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 16(02), pages 1-27, April.
    7. Shui-Lien Chen & June-Hong Chen & Shiou Chi Chang, 2017. "Understanding the Antecedents of Individuals Intention of Using Cloud Services," Journal of Economics and Management, College of Business, Feng Chia University, Taiwan, vol. 13(2), pages 139-166, August.
    8. E. W. T. Ngai & J. K. L. Poon & F. F. C. Suk & C. C. Ng, 2009. "Design of an RFID-based Healthcare Management System using an Information System Design Theory," Information Systems Frontiers, Springer, vol. 11(4), pages 405-417, September.
    9. Wafa Bouaynaya, 2020. "Characterization of Cloud Computing Reversibility as Explored by the DELPHI Method," Information Systems Frontiers, Springer, vol. 22(6), pages 1505-1518, December.
    10. Haoyi Xiong & Daqing Zhang & Daqiang Zhang & Vincent Gauthier & Kun Yang & Monique Becker, 2014. "MPaaS: Mobility prediction as a service in telecom cloud," Information Systems Frontiers, Springer, vol. 16(1), pages 59-75, March.
    11. Venkataraghavan Krishnaswamy & R. P. Sundarraj, 2017. "Organizational implications of a comprehensive approach for cloud-storage sourcing," Information Systems Frontiers, Springer, vol. 19(1), pages 57-73, February.
    12. Chen, Li-Ming & Chang, Wei-Lun, 2020. "Under what conditions can an application service firm with in-house computing benefit from cloudbursting?," European Journal of Operational Research, Elsevier, vol. 282(1), pages 71-80.
    13. Siqing Shan & Cangyan Li & Wei Yao & Jihong Shi & Jie Ren, 2014. "An Empirical Study on Critical Factors Affecting Employee Satisfaction," Systems Research and Behavioral Science, Wiley Blackwell, vol. 31(3), pages 447-460, May.
    14. Jeng-Chieh Cheng & Jeen-Fong Li & Chi-Yo Huang, 2023. "Enablers for Adopting Restriction of Hazardous Substances Directives by Electronic Manufacturing Service Providers," Sustainability, MDPI, vol. 15(16), pages 1-45, August.
    15. Adele Caldarelli & Luca Ferri & Marco Maffei, 2016. "I rischi derivanti dall?implementazione del cloud computing: un?indagine empirica nelle PMI Italiane," MANAGEMENT CONTROL, FrancoAngeli Editore, vol. 2016(3), pages 27-48.
    16. Vincent Cho & Aman Chan, 2015. "An integrative framework of comparing SaaS adoption for core and non-core business operations: An empirical study on Hong Kong industries," Information Systems Frontiers, Springer, vol. 17(3), pages 629-644, June.
    17. Majid Azadi & Mehdi Toloo & Fahimeh Ramezani & Reza Farzipoor Saen & Farookh Khadeer Hussain & Hajar Farnoudkia, 2024. "Evaluating efficiency of cloud service providers in era of digital technologies," Annals of Operations Research, Springer, vol. 342(2), pages 1049-1078, November.
    18. Choi, Tsan Ming & Chow, Pui Sze & Liu, Shuk Ching, 2013. "Implementation of fashion ERP systems in China: Case study of a fashion brand, review and future challenges," International Journal of Production Economics, Elsevier, vol. 146(1), pages 70-81.
    19. Steve Jones & Zahir Irani & Uthayasankar Sivarajah & Peter E. D. Love, 2019. "Risks and rewards of cloud computing in the UK public sector: A reflection on three Organisational case studies," Information Systems Frontiers, Springer, vol. 21(2), pages 359-382, April.
    20. Mehmet N. Aydin & N. Ziya Perdahci, 0. "Dynamic network analysis of online interactive platform," Information Systems Frontiers, Springer, vol. 0, pages 1-12.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:infosf:v:17:y:2015:i:2:d:10.1007_s10796-012-9406-5. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.