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兰州银滩黄河湿地不同植物夏季光合日变化

康雅茸1,张华1,2**   

  1. (1西北师范大学地理与环境科学学院, 兰州 730070; 2兰州大学草地农业系统国家重点实验室, 兰州 730000)
  • 出版日期:2014-09-10 发布日期:2014-09-10

Diurnal variation of photosynthesis of different plants in summer in Yintan wetland of Lanzhou section of Yellow River.

KANG Ya-rong1, ZHANG Hua1,2**   

  1. (1College of Geographic and Environmental Sciences, Northwest Normal University, Lanzhou 730070, China; 2State Key Laboratory of Grassland Agricultural System, Lanzhou University, Lanzhou 730000, China)
  • Online:2014-09-10 Published:2014-09-10

摘要:

以兰州银滩黄河湿地的千屈菜、芦苇、酸模叶蓼、稗草、龙葵、反枝苋、曼陀罗、红豆草、藨草和水莎草10种植物为材料,采用美国CI-340便携式光合测定系统在晴朗天气下测定了各植物成熟叶片的光合有效辐射(PAR)、净光合速率(Pn)、蒸腾速率(Tr)、气孔导度(Gs)、胞间CO2浓度(Ci)以及大气温度(Ta)、大气CO2浓度(Ca)等指标的日变化,以探讨其光合生理生态特性。结果表明:有7种湿地植物的净光合速率呈不对称的双峰曲线,光合“午休”现象明显,分别是由气孔和非气孔2个因素引起;通过相关分析、逐步回归分析发现,大多数植物的PnTrGs、PAR有较好的相关性,各生态因子对Pn的贡献系数不同,说明影响它们光合速率的主要生理生态因子各不相同;午间强光、高温导致湿地植物的蒸腾速率加剧。本研究对了解湿地植物优势种的光合特性及其与环境因子关系、人工种植湿地植物物种选择有重要意义。

 

关键词: 生态系统服务簇, 生态功能分区, 内蒙古自治区, SOFM神经网络

Abstract:

In order to understand the photosynthetic characteristics of dominant species in Yintan wetland of Lanzhou section of Yellow River in summer, ten species were selected, including Lythrum salicaria, Phragmites communis, Polygonum lapathifolium, Echinochloa crusgalli, Solanum nigrum, Amaranthus retroflexus, Datura stramonium, Onobrychis viciaefolia, Scirpus triqueter, and Juncellus serotinus. Then, the diurnal variations of photosynthetically active radiation (PAR), net photosynthetic rate (Pn), transpiration rate (Tr), stomatal conductance (Gs), intercellular CO2 concentration (Ci) of the mature leaves of each plant, and the atmospheric temperature (Ta) and atmospheric CO2 concentration (Ca) were measured by employing the CI-340 portable photosynthetic system. The curves of diurnal variation of Pn in leaves of seven plants showed two peaks, suggesting a remarkable photosynthetic “midday depression”, which was caused by stomatal limitation and nonstomatal limitation. Correlation analysis and stepwise regression analysis showed that there was good correlation between Pn and Tr, Gs, PAR in most plants, and each factor had different coefficients of contribution to Pn, indicating that the main physiological and ecological factors influencing the photosynthetic rate were different among species. Moreover, strong light and high temperature at noon intensified the transpiration rate of wetland plants. Our study provides information on understanding the relationship between photosynthetic characteristics and environmental factors of the dominant species, and on species selection of planting wetland plants.
 

Key words: SOFM neural network, ecosystem service bundles, Inner Mongolia Autonomous Region, ecological function zoning