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Relationships between plant species number and sampling area for sub-alpine meadow plant communities.

ZHANG Ru1,3, CHEN Jun-qiang1,3, HOU Yao-chen1,3, MA Li-na1,3, DING Lu-ming2,3, LONG Rui-jun1,3, SHANG Zhan-huan1,3**   

  1. (1 College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou 730020, China; 2 School of Life Sciences, Lanzhou University, Lanzhou 730020, China; 3International Centre for Tibetan Plateau Ecosystem Management, Lanzhou 730020, China)
  • Online:2013-09-10 Published:2013-09-10

Abstract: In this paper, nested plots were used to investigate the plant species number of subalpine meadow plant communities in the Eastern Qilian Mountains of China. The relationships between plant species frequency and sampling area were analyzed, and the speciesarea curves of the plant communities were fitted with ten selected models. Correlation index (CRI) was then used to test the fitness of the models. The results showed that when the sampling area increased over 16 m2, the related increase of species number in four quadrats decreased significantly, and basically maintained at the same level. Furthermore, the species number in each quadrat was more than 75% of the total species number in the quadrat. When the sampling area reached about 32 m2, the species number in high-yield quadrats I and II and in low-yield quadrats I and II were basically maintained at a certain level, accounting for 88%, 89%, 84%, and 92% of the total species number in the quadrats, respectively. With a CRI of ≥0.9, eight of the ten models had good fitness. Models S=(b+alnA)c and S=c/(a+A-b) were the best, followed by models S=aln(bA+1), S=b+alnA, S=aAb, and S=c-ae-bA, and only models S=aln(A-1) and S=a(1-e-bA) had bad fitness.

Key words: riparian zone, Luanhe Basin, altitude, human activity., invasive plant