Integration of Multiple Methods to Identify Major Wild Bird Species around Qinghai Lake

  • Li Jian
  • Zhang RuiYing
  • Wan SunHua
  • Cao WenBin
  • Zhu ChaoDong
  • Lei FuMin
  • Yan BaoPing
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 134)

Abstract

With a view to conducting targeted monitoring, protection and study on the wild birds around Qinghai Lake, this paper attempts to propose an identification system on the major species of wild birds around Qinghai Lake via morphology (DELTA and image retrieval) and molecular data (DNA barcoding), etc. which can specify the bird species in the area of Qinghai Lake in a fast and accurate way and provide multiple interfaces for the international systems of the same kind to achieve seamless integration. It is aimed at creating an efficient academic environment for scientists, which is also of great significance in science popularization.

Keywords

Species identification Morphological identification DELTA image retrieval DNA barcoding BLAST 

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References

  1. 1.
    DELTA, DEscription Language for TAxonomy, http://delta-intkey.com
  2. 2.
    NCBI, Basic Local Alignment Search Tool, www.ncbi.nlm.nih.gov
  3. 3.
  4. 4.
  5. 5.
    Zhang, M.: DELTA system-a recommendable information processing tool for taxonomic description. Journal of Plant Resources and Environment 18(1), 87–90 (2009)Google Scholar
  6. 6.
    Zheng, Y., Cheng, J., Zhang, Q.: Utilization and development of Expert System in rice protection. China Rice (2), 31–33 (2004)Google Scholar
  7. 7.
    Smith, J., Chang, S.: Tools and techniques for color image retrieval. In: Storage & Retrieval for Image and Video Databases IV, vol. 2670, pp. 426–437 (1996)Google Scholar
  8. 8.
    Smeulders, A., et al.: Content-based image retrieval at the end of the early years. IEEE Transactions on Pattern Analysis and Machine Intelligence 22, 1349–1380 (2000)CrossRefGoogle Scholar
  9. 9.
    Swain, M., Ballard, D.: Indexing via color histograms, pp. 390–393 (1990)Google Scholar
  10. 10.
    Mehtre, B., et al.: Color matching for image retrieval. Pattern Recognition Letters 16, 325–331 (1995)CrossRefGoogle Scholar
  11. 11.
    Bradski, G., Kaehler, A.: Learning OpenCV: Computer vision with the OpenCV library. O’Reilly Media (2008)Google Scholar
  12. 12.
    Xiao, J., Xiao, H., Huang, D.: DNA barcodingnew approach of biological taxonomy. Acta Zoologica Sinica 50(5), 852–855 (2004)Google Scholar
  13. 13.
    Hebeft, P.D.N., Stoeckle, M.Y., Zemlak, T.S., Francis, C.M.: Identification of birds through DNA barcodes. PLoS Biol. 2(10), 1657–1663 (2004)Google Scholar
  14. 14.
    EMBL, European Molecular Biology Laboratory, http://www.embl.org
  15. 15.
    DDBJ, DNA Data Bank of Japan, http://www.ddbj.nig.ac.jp

Copyright information

© Springer-Verlag GmbH Berlin Heidelberg 2012

Authors and Affiliations

  • Li Jian
    • 1
  • Zhang RuiYing
    • 2
  • Wan SunHua
    • 1
  • Cao WenBin
    • 1
  • Zhu ChaoDong
    • 2
  • Lei FuMin
    • 2
  • Yan BaoPing
    • 1
  1. 1.Computer Network Information CenterChinese Academy of SciencesBeijingChina
  2. 2.Institute of ZoologyChinese Academy of SciencesBeijingChina

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