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应用生态学报 ›› 2009, Vol. 20 ›› Issue (12): 3093-3100.

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作物光能利用效率和收获指数时空变化研究进展

李贺丽1,3;罗毅1,2**   

  1. 1中国科学院地理科学与资源研究所, 北京 100101;2中国科学院生态网络观测与模拟重点实验室, 北京 100101;3中国科学院研究生院, 北京 100039
  • 出版日期:2009-12-18 发布日期:2009-12-18

Spatiotemporal variations of crop radiation use efficiency and harvest index: Research progress.

LI He-li1,3|LUO Yi1,2   

  1. 1Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China|2Key Laboratory of Ecosystem Network Observation and Modeling, Chinese Academy of Sciences, Beijing 100101, China|3Graduate University of Chinese Academy of Sciences, Beijing 100039, China
  • Online:2009-12-18 Published:2009-12-18

摘要: 1972年Monteith提出的光能利用效率模型是当前大多数作物生长和产量形成模拟研究以及遥感估产所采用的主要方法.光能利用效率(radiation use efficiency, RUE)和收获指数(harvest index, HI)是其中的两个基本参量.鉴于目前作物RUE和HI研究与应用中仍存在着一些问题,本文综述了相关研究进展,总结了不同尺度上作物RUE和HI的研究方法;介绍了当前遥感估产应用中对RUE和HI两个关键参数的处置概况;建议今后研究应在点尺度开展作物RUE和HI研究的基础上,寻求其在区域尺度上定量评估的可行性途径,切实有效地发挥作物RUE和HI研究在作物实际生产管理中和遥感产量估算方面的应用价值及潜力.

关键词: 光能利用效率, 收获指数, Epsilon模型, 遥感估产, 含盐废水, 硝化反应, 胞外聚合物, 好氧氨氧化菌, 亚硝酸盐氧化菌

Abstract: The radiation use efficiency (RUE) model suggested by Monteith in 1972 is one of the most widely applied approaches for modeling net primary production and crop yield, especially by means of remote sensing techniques. To use this approach, RUE and harvest index (HI) are the two key parameters that need to be defined, besides the absorbed photosynthetically active radiation. However, there exist some problems in the studies and applications of RUE and HI. This paper reviewed the research progress on RUE and HI, summarized the current methods and procedures for  defining RUE and HI values when using the RUE approach for predicting crop yield by remote sensing, and proposed that in order to maximize the effective application of RUE and HI in remote sensing crop yield and crop production management, future researches should seek proper procedures to determine the spatial heterogeneities of RUE and HI at regional scale based on field experiments.

Key words: radiation use efficiency, harvest index, Epsilon approach, remote sensing of crop yield, saline wastewater, nitrification, extracellular polymeric substances (EPS), ammonium oxidize bacteria (AOB), nitrite oxidize bacteria (NOB).