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长白落叶松林生态系统净初级生产力对气候变化的响应

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应用BIOME-BGC模型和样地调查数据,模拟并验证了吉林省汪清林业局长白落叶松林生态系统净初级生产力( NPP)在1980—2013年间的动态变化情况,分析了NPP对区域气候变化的响应以及在SRES A2和B2排放情景下长白落叶松林生态系统NPP的动态变化. 结果表明:BIOME-BGC模型较好地模拟了样地NPP的动态变化,且模拟NPP与样地实测生产力的动态变化规律相似;在1980—2013年间,长白落叶松林生态系统NPP(以碳计算)均值为477. 74 g/( m2·a) ,波动范围是286. 60~566. 27 g/( m2·a);研究区内长白落叶松林生态系统NPP与年降水量呈显著正相关;在未来A2和B2排放情景下,NPP对未来降水量增加的响应呈正向,对年均温度增加呈负相关,其中温度升高对NPP的负效应要大于降水量增加对NPP的正效应;此外,CO2浓度增加有利于长白落叶松林生态系统NPP的增加.
Response of net primary productivity of Larix olgensis forest ecosystem to climate change
Based on the BIOME-BGC model and field-measured productivity data, a modeling study was conducted and tested to estimate the dynamic changes of net primary productivity ( NPP) of Larix olgensis forest ecosystem in Wangqing Forestry Bureau, Jilin Province in northeastern China during the period of 1980--2013 . The response of NPP to regional climate change and the dynamics of NPP under the SRES A2 and B2 scenarios were explored. The results were shown as follows: 1 ) the model-simulated NPPs were in accordance with the field-measured productivity, suggesting a successful modeling of NPP patterns by the BIOME-BGC model. 2) The mean NPP of L. olgensis was 477. 74 g/(m2·a), fluctuating between 286. 60 and 566. 27 g/( m2·a ) during 1980--2013. 3 ) There was a significant correlation between the NPP of L. olgensis forest ecosystem and annual precipitation. Under the SRES A2 and B2 scenarios, the NPP would have a positive response to the increase of annual precipitation. The temperature would have a stronger effect than the precipitation. The elevated CO2 would benefit the increase of NPP.

net primary productivity ( NPP)climate changeBIOME-BGC

何丽鸿、王海燕、王璐、王岳

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北京林业大学林学院

净初级生产力 气候变化 BIOME-BGC

国家自然科学基金

31270697

2015

北京林业大学学报
北京林业大学

北京林业大学学报

CSTPCDCSCD北大核心
影响因子:1.237
ISSN:1000-1522
年,卷(期):2015.37(9)
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