资源与生态学报 ›› 2017, Vol. 8 ›› Issue (6): 641-647.DOI: 10.5814/j.issn.1674-764x.2017.06.011

• Articles • 上一篇    下一篇

胶州湾滨海盐沼芦苇地上部生长动态及EVI分析

郗敏,孔范龙,李悦   

  1. 青岛大学环境科学与工程学院,山东青岛 266071
  • 收稿日期:2017-05-20 修回日期:2017-09-26 出版日期:2017-11-30 发布日期:2017-11-30

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:2017-11-30
  • Contact: KONG Fanlong, E-mail: kongfanlong@qdu.edu.cn
  • Supported by:
    National Natural Science Foundation of China (41771098); Shandong Natural Science Foundation (ZR2014DQ028; ZR2015DM004)

摘要: 在胶州湾滨海盐沼设置3条样带,分时段采集芦苇样品,分株测定芦苇的形态学参数、干湿重,结合遥感数据,通过EVI 回归模型对胶州湾滨海盐沼芦苇地上部生长动态及生物量分配进行了研究,为胶州湾滨海盐沼及其他湿地生物地球化学循环提供基础数据支撑。结果表明,整个生长季,芦苇茎和叶的变化有差异。茎长增长迅速并于9月份达到峰值(194.40 ± 23.89 cm),而叶宽于7月份首次达到峰值。茎长与茎直径之间呈显著负相关关系(R = -0.785)。茎生物量高于叶,并且地上生物量的最大值为27.17 ± 3.56 g。芦苇地上部生物量的增长趋势可以F/C表征,其值为0.37~0.76。芦苇样方地上生物量于9月份达到峰值(2356 ± 457g m-2)。EVI为0.05~0.5,EVI与生物量之间的幂指数模型比其它模型具有更好的模拟合效果,其方程式为:y=4219.30x0.88 (R2=0.7810)。其它三个模型的R2 以线性函数最大,多项式函数次之,指数函数最小,其值分别为0.7769,0.7623 和 0.6963。EVI可以用于估算植被生物量并有效解决传统收割法对样地带来的破坏性影响。

关键词: 地上部生物量, 动态变化, 增强型植被指数(EVI)分析

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