Journal of Resources and Ecology ›› 2017, Vol. 8 ›› Issue (6): 641-647.doi: 10.5814/j.issn.1674-764x.2017.06.011

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Temporal Variations in Growth and Aboveground Biomass of Phragmites australis and EVI Analysis in Jiaozhou Bay Coastal Salt Marshes, China

XI Min, KONG Fanlong, LI Yue   

  1. College of Environmental Science and Engineering, Qingdao University, Qingdao, Shandong 266071, China
  • Received:2017-05-20 Revised:2017-09-26 Online:2017-11-30 Published:2017-12-06
  • Contact: KONG Fanlong, E-mail: kongfanlong@qdu.edu.cn
  • Supported by:
    National Natural Science Foundation of China (41771098); Shandong Natural Science Foundation (ZR2014DQ028; ZR2015DM004)

Abstract: To better ascertain leaf, stem and flower traits, and analyze aboveground allocation during the vegetation period, three sampling vegetation transects were settled and reed samples were collected at intervals to determine morphological parameters and dry and wet weights in Jiaozhou Bay wetland. Remote sensing data were also combined to evaluate regional biomass through EVI regression models. Results show that growth dynamics of leaves and stems changed during the vegetation period. Stem length increased rapidly and peaked in September (194.40 ± 23.89 cm), whereas leaf width peaked in July. There was a significantly negative correlation between stem length and stem diameter with a value of -0.785. Stem biomass was higher than that of leaves, and the maximum value of aboveground biomass was 27.17 ± 3.56 g. F/C exhibited a tendency to increase and values ranged from 0.37-0.76. The aboveground biomass of sample plots reached a peak of 2356 ± 457 g/m2 in September. EVI was 0.05-0.5; EVI and biomass had a better fitting effect using the power-exponent model compared with other models and its function was y = 4219.30 x0.88 (R2 = 0.7810). R2 of the other three models ranked as linear function > polynomial function > exponent function, with the values being 0.7769, 0.7623 and 0.6963, respectively. EVI can be used to estimate vegetation biomass, and effectively solved the problems of the destructive effect to sample plots resulting from traditional harvest methods.

Key words: aboveground biomass, enhanced vegetation index (EVI) analysis, temporal variations