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农田光能利用效率研究进展

同小娟1;李俊2;王玲3   

  1. 1北京林业大学省部共建森林培育与保护教育部重点实验室, 北京 100083;2中国科学院地理科学与资源研究所,北京 100101;3石河子大学师范学院, 新疆石河子 832003
  • 收稿日期:2007-08-05 修回日期:1900-01-01 出版日期:2008-06-10 发布日期:2008-06-10

A review on radiation use efficiency of the cropland.

TONG Xiao-juan1;LI Jun2;WANG Ling3   

  1. 1The Key Laboratory for Silviculture and Conservation of Ministry of Education, Beijing Forestry University, Beijing 100083, China;2Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;3Teachers College of Shihezi University, Shihezi 832003, Xinjiang, China
  • Received:2007-08-05 Revised:1900-01-01 Online:2008-06-10 Published:2008-06-10

摘要: 光能利用率(RUE)是作物生长模型的主要参数之一。RUE被广泛应用于基于遥感的净初级生产力估算。受环境条件影响,作物生长季内RUE并非常数。RUE估算不准将给净初级生产力的模拟计算带来很大误差。本文分析了农田RUE的测定方法和变化特征,讨论了辐射、温度、饱和差、植物叶片氮含量和作物种类对RUE的影响,分析了目前RUE研究中存在的问题,提出在作物模型中用RUE作参数时必须考虑作物生长发育所引起的RUE变化。今后应加强作物生物量和截获辐射间关系的机理研究。利用涡度相关技术等微气象方法研究短时间尺度上RUE的变化将成为未来研究的热点。

关键词: 卧龙, 亚高山暗针叶林, 林隙特征

Abstract: Radiation use efficiency (RUE) is one of the most useful parameters in crop growth models, and widely used in the remote sensing estimation of net primary productivity. Due to the effects of environmental factors, RUE varies with crop growth. The inaccurate estimation of RUE will lead to large errors in the simulation of net primary productivity. This paper analyzed the determination methods of cropland RUE and the variation characteristics of RUE, discussed the factors controlling RUE (e.g. solar radiation, temperature, vapor pressure deficit, leaf nitrogen content, and crop species), and pointed out the problems in current RUE studies. It was suggested that when using RUE as a parameter to simulate crop production, the variation of RUE with crop growth should be considered. Further works should be enhanced on the relationship between crop biomass and its intercepted radiation, and hotspot would be the study of RUE variation over short period of time scale (hours or days) by using micrometeorological methods such as the eddy covariance technique to provide reliable parameter for constructing carbon cycle models.

Key words: Wolong, Subalpine dark coniferous forests, Gap features