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植物经济学谱、非经济学谱及其与凋落物分解的关系

张海艳1,2,郭小城1,2,孔德良1,2*   

  1. (1沈阳农业大学辽宁省生物入侵与全球变化重点实验室, 沈阳 110866;2沈阳农业大学生物科学技术学院, 沈阳 110866)
  • 出版日期:2018-12-10 发布日期:2018-12-10

Plant economics and non-economics spectra in relation to litter decomposition: A review.

ZHANG Hai-yan1,2, GUO Xiao-cheng1,2, KONG De-liang1,2*   

  1. (1Liaoning Key Laboratory for Biological Invasions and Global Changes, Shenyang Agricultural University, Shenyang 110866, China; 2College of Bioscience and Biotechnology, Shenyang Agricultural University, Shenyang 110866, China).
  • Online:2018-12-10 Published:2018-12-10

摘要: 陆生植物在长期的进化过程中,普遍形成了以资源投资-收益权衡为基础的一类重要功能性状谱,即植物经济学谱(plant economics spectrum)。植物经济学谱最初发现于成熟植物的器官,它与植物死亡后凋落物分解的关系是近年来研究的热点。植物经济学谱与凋落物分解速率显著相关,但相关性程度在不同研究间存在较大差异,这种差异性却鲜有探讨。近期研究发现,植物中存在一些与经济学谱相对独立的功能性状谱,如水分输导谱和化学防御谱等,我们称之为非经济学谱。本文在综述植物经济学谱与凋落物分解关系的基础上,首次提出从非经济学谱的角度认识不同研究中出现的经济学谱与凋落物分解相关性的差异。我们分别评述非经济学谱中水分传导谱和化学防御谱影响凋落物分解,进而影响经济学谱与凋落物分解关系的可能途径,并对比了根和叶之间在此方面的异同。最后,我们指出了从非经济学谱的角度探索不同研究中经济学谱与凋落物分解相关性的差异时需要关注的一些方向。

关键词: BP神经网络, 檀香, 氮素, 无损检测

Abstract: Terrestrial plants have evolved an important functional trait spectrum, i.e., plant economics spectrum, which reflects the costbenefit tradeoff in resource acquisition. The plant economics spectrum was initially found in organs of mature plants. In recent years, mounting studies focus on the relationship between plant economics spectrum and litter decomposition. While there is a significant relationship between plant economics spectrum and litter decomposition, the strength of such correlation varies greatly across different studies. Such variations have been seldom addressed. Some trait spectra, e.g., hydraulics spectrum and chemical defense spectrum, are independent of plant economics spectrum, and are defined here as the non-economics spectrum. We reviewed the relationship between plant economics spectrum and litter decomposition. Furthermore, we proposed the view of non-economics spectrum from which we can understand the differences of different empirical studies in the strength of correlation between plant economics spectrum and litter decomposition rate. Then, we explored the potential ways by which non-economics spectra would affect litter decomposition, and consequently the relationship between plant economics spectrum and litter decomposition. In addition, we compared the difference between roots and leaves in terms of the relationships of abovementioned spectra with litter decomposition. Finally, several promising fields were proposed for future studies that aim to examine the role of non-economics spectra in accounting for the difference of the correlations between plant economics spectrum and litter decomposition among different studies.

Key words: nondestructive testing, nitrogen, BP neural network, Santalum album