Journal of Mountain Science

, Volume 14, Issue 4, pp 742–757

Vertical patterns in plant diversity and their relations with environmental factors on the southern slope of the Tianshan Mountains (middle section) in Xinjiang (China)

Article

DOI: 10.1007/s11629-016-4110-4

Cite this article as:
Liu, B. J. Mt. Sci. (2017) 14: 742. doi:10.1007/s11629-016-4110-4
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Abstract

The investigation of distribution patterns of species diversity is significant for successful biodiversity conservation. The spatial patterns of vegetation and different life-forms species diversity along an elevation gradient in the middle section of the southern slope of the Tianshan Mountains in Xinjiang, China were explored, using the detrended canonical correspondence analysis (DCCA) and the generalized additive model (GAM) methods based on a field survey of 53 sampling plots. In this work 158 species of seed plants were recorded, including 141 herbaceous, 14 shrub, and 2 tree species, in which the woody plants are very limited. 53 sampling plots were classified into 9 major plant communities. The results indicate that the herb communities were the most sensitive to changes in elevation gradient. The diversity indices of the community as a whole presented bimodal patterns. The peak values for the species diversities were found in the transition region between mountain steppe desert and mountain desert steppe (2,200–2,300m), and in the alpine grassland region (2,900–3,100m), while maximum species diversities were in the areas of intermediate environmental gradient. The main environmental factors on the distribution patterns in plant diversity were the elevation, soil water, total nitrogen, available nitrogen, organic matter, and total salt. The response tendency of the four diversity indices for the whole community to the soil environment was the same as that of the herb layers.

Keywords

Species diversity Distribution pattern Plant community Soil properties Tianshan Mountains 

Copyright information

© Science Press, Institute of Mountain Hazards and Environment, CAS and Springer-Verlag Berlin Heidelberg 2017

Authors and Affiliations

  1. 1.Xinjiang Institute of Ecology and GeographyChinese Academy of SciencesUrumqiChina
  2. 2.College of Resource and Environmental ScienceXinjiang UniversityUrumqiChina
  3. 3.College of Life ScienceXinjiang Normal UniversityUrumqiChina
  4. 4.University of the Chinese Academy of SciencesBeijingChina

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