Research on <i>Cleistogenes squarrosa's</i> histocytic changing and determine method in the course of restoring succession in degradation community of the typical steppe

Tao Zhang; Wei Wang; Heping Liu; Zhi-jie Zhang; Cunzhu Liang; Li xin Wang; Tuo Ya Bu Ren

doi:10.1117/12.731243

22 October 2007 Research on Cleistogenes squarrosa's histocytic changing and determine method in the course of restoring succession in degradation community of the typical steppe

Tao Zhang, Wei Wang, Heping Liu, Zhi-jie Zhang, Cunzhu Liang, Li xin Wang, Tuo Ya Bu Ren

Author Affiliations +

Proceedings Volume 6679, Remote Sensing and Modeling of Ecosystems for Sustainability IV; 667914 (2007) https://doi.org/10.1117/12.731243
Event: Optical Engineering + Applications, 2007, San Diego, California, United States

Abstract

The micrograph and the geographical information system(GIS) technology are combined, and applied into histiocytic anatomy. Through studying histiocytic changes of Cleistogenes squarrosa's vegetation organs, namely leaf and stem, the steppe plants' inherent mechanism of miniaturization is revealed. In the course of restoring succession, Cleistogenes squarrosa's anatomy of leaf and stem demonstrate the same variation trend in the three different sample plots: the longer the resume time is, the more, its cells which make up the organ are. According to opposite course, miniaturization has all taken place in the leaf and stem. However, there is difference in the miniaturization mechanism of the leaf and stem. (1) According to dissection structure of the blade, the reduction of organizing the figure of the mesophyll has caused miniaturization. (2) The miniaturization mechanism of the stem is the reduction of different organization's cell's figure of the stem.

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Tao Zhang, Wei Wang, Heping Liu, Zhi-jie Zhang, Cunzhu Liang, Li xin Wang, and Tuo Ya Bu Ren "Research on Cleistogenes squarrosa's histocytic changing and determine method in the course of restoring succession in degradation community of the typical steppe", Proc. SPIE 6679, Remote Sensing and Modeling of Ecosystems for Sustainability IV, 667914 (22 October 2007); https://doi.org/10.1117/12.731243

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