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应用生态学报 ›› 2011, Vol. 22 ›› Issue (02): 309-316.

• 研究报告 • 上一篇    下一篇

气候变化对长白山阔叶红松林冠层蒸腾影响的模拟

陈妮娜1,2,袁凤辉1,王安志1,吴家兵1,金昌杰1**,关德新1,施婷婷3   

  1. 1中国科学院沈阳应用生态研究所| 沈阳 110016;2中国科学院研究生院, 北京 100049; 3南京信息工程大学| 南京 210044
  • 出版日期:2011-02-18 发布日期:2011-02-18

Simulation of the effects of climate change on canopy transpiration over a broad-leaved Korean pine forest in Changbai Mountains.

CHEN Ni-na1,2, YUAN Feng-hui1, WANG An-zhi1, WU Jia-bing1, JIN Chang-jie1, GUAN De-xin1, SHI Ting-ting3   

  1. 1Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China|2Graduate University of Chinese Academy of Sciences, Beijing 100049, China|3Nanjing University of Information Science &|Technology, Nanjing 210044, China
  • Online:2011-02-18 Published:2011-02-18

摘要: 应用基于过程的碳水耦合多层模型对长白山阔叶红松林冠层蒸腾量进行了模拟和模型验证,并模拟了冠层蒸腾量对未来气候变化的响应.结果表明:多层模型可以较好地模拟长白山阔叶红松林冠层蒸腾量,模拟值与涡动相关技术观测的实测值拟合较好.冠层蒸腾对气候变化响应的模拟显示,气温升高,潜热通量(LE)增加;土壤含水量减少,LE减少;大气CO2浓度增加,LE减少.在研究假定的气候变化情景下,LE对0~20 cm土壤含水量减少10%、CO2浓度增加190 μmol·mol-1的联合变化的响应最敏感,对气温增加3.6 ℃、土壤含水量减少10%的联合变化的响应不敏感.

关键词: 多层模型, 涡动相关法, 潜热, 林冠蒸腾, 气候变化

Abstract: To investigate the effects of climate change on canopy transpiration, a process-based carbon and water coupling multi-layer model was verified, and used to simulate the canopy transpiration over a broad-leaved Korean pine forest in Changbai Mountains. This multi-layer model could well estimate canopy transpiration. The simulated values fitted well with the measured data based on eddy covariance method. The simulation of the responses of canopy transpiration to climate change indicated that the latent heat flux (LE) increased with increasing air temperature, and decreased with the decline of soil water content or the increase of air CO2 concentration. Under the climate scenarios in this study, the LE was most sensitive to the associated variation of 10% reduction of soil water content in 0-20 cm layer and 190 μmol·mol-1 increase of CO2 concentration, but not sensitive to the synchronous variation of 10% reduce of soil water content and 3.6 ℃ increase of air temperature.

Key words: multi-layer model, eddy covariance method, latent heat flux, canopy transpiration, climate change