植物生态学报 ›› 1984, Vol. 8 ›› Issue (1): 67-73.

• 论文 • 上一篇    下一篇

夏谷群落的密度与消光系数(K值)关系的初步研究

戚秋慧   

  • 发布日期:1984-01-10
  • 通讯作者: 戚秋慧

A Preliminary Study on the Relationship Between Density and Extinction Coefficient (k Value) in Millet Community

Qi Qiuhui   

  • Published:1984-01-10
  • Contact: Lin Peng

摘要: 本文采用门司、佐伯的大田切片法,研究不同密度夏谷群落的生产结构、群落内光的分布以及消光系数的变化。目的在于探讨一个比较合理的夏谷密度以及日平均消光系数的简易求法。从试验结果可以看出:1.在不同密度的群落中,密度中等的群落(4.75万/亩),地上部生物量(724.5克/米2),穗重(289.81克/米2)和叶面积指数等是最高的。看出夏谷在4.5—5万/亩的密度较为适宜。2.群落的密度和消光系数之间呈正相关,群落消光系数随着群落密度的增加而加大。而群落消光系数与群落内日平均光强呈负相关。3.不同密度夏谷群落消光系数日变化的趋势均呈早晚高、中午低的谷型曲线。经实测,上午9点和下午3点左右测得的瞬时k值与群落的日平均k值较为接近。为此可以用这二时刻的任一瞬时k值作为日平均k值的近似值。

Abstract:

In this text the layer-cutting method in crop field (M. Monsi and T. Saeki, 1953) is adopted. The produce structure of communities, the distribution of light and the variation of extinction coefficient within communities under different density condition of the millet are studied. The aim is to findout a rational density of millet and a simple method for determinating daily average extinction coefficient.

The experiment results are shown as follows:

1.Aerial biomass, ear weight and LAI etc. of the community of medium density are 724.5g/m2, 289.81g/m2, 2.95 respectively, they are the highest in the communities with different density. It is shown the density between 45000--50000/mu are suitable.

2. It assumes positive correlation between density of community and extinction coefficient. The extinction coefficient increases with density. It shows negative correlation, between the extinction coefficient of communities and the average value of light intensity within communities.

3. The tendency of diurnal variation of extinction coefficient of different millet communities is presented as a depression shape curve i. c. higher at the morning and evening, lower at noon. Through practical measure, we can see that the instantaneous k value at 9. a. m. or 3. P. m. approximates to diurnal average value of the community during the day. Thus each of them instantaneous k value may be considered as approximate value of daily average k value.