长白山阔叶红松林净初级生产力对气候变化的响应: 基于BIOME-BGC模型的分析

北京大学学报（自然科学版）

长白山阔叶红松林净初级生产力对气候变化的响应: 基于BIOME-BGC模型的分析

吴玉莲¹,王襄平¹,李巧燕¹,孙阎²

1. 北京林业大学森林资源与生态系统过程北京市重点实验室, 北京林业大学林学院, 北京 100083;2. 黑龙江大学农业资源与环境学院, 哈尔滨 150080;

收稿日期:2013-09-13 出版日期:2014-05-20 发布日期:2014-05-20

Response of Broad-Leaved Korean Pine Forest Productivity of Mt. Changbai to Climate Change: An Analysis Based on BIOME-BGC Modeling

WU Yulian¹, WANG Xiangping¹, LI Qiaoyan¹, SUN Yan²

1. Key Laboratory for Forest Resources & Ecosystem Processes of Beijing, College of Forestry, Beijing Forestry University, Beijing 100083; 2. College of Agriculture Resources and Environment, Heilongjiang University, Harbin 150080;

Received:2013-09-13 Online:2014-05-20 Published:2014-05-20

摘要/Abstract

摘要： 为了分析气候变化和大气CO₂浓度增加对长白山阔叶红松林净初级生产力(NPP)的影响, 运用本地参数化后的BIOME-BGC模型进行模拟, 并以实测NPP和增强型植被指数(EVI)进行验证。模拟结果表明, 长白山阔叶红松林NPP均值为611.71 gC/(m²•a), 1960-2011年年际间的波动范围是473.28~703.44 gC/(m²•a)。模拟结果与基于样地实测的NPP (均值为594.66 gC/(m²•a))相似; 同时, BIOME-BGC模型模拟的NPP年际间变化趋势与EVI的波动趋势相似, 二者间存在显著的相关关系, 表明模型能较好地模拟生产力的时间动态。模拟表明, 红松的NPP与降水关系更为密切, 而阔叶树NPP与温度、降水都呈显著的正相关。模型预测, 在未来CO₂浓度加倍和温度、降水同时增加的场景下, 长白山阔叶红松林NPP将显著增加, 其中阔叶树和红松的NPP将分别增加27.87%和23.96%。单独增加温度(2℃)或单独增加降水(12%)都能促进阔叶树和红松NPP的增加, 其中降水的作用弱于温度的作用, 而单独CO₂浓度的倍增对阔叶树和红松的NPP没有明显的影响。

关键词: BIOME-BGC模型, 净初级生产力(NPP), 阔叶红松林, 增强型植被指数(EVI), 气候因子

Abstract: In order to understand the response of net primary production (NPP) of broad-leaved Korean pine forest in Changbai Mountain to climate change and elevated atmospheric CO₂, the authors simulated NPP with parameterized BIOME-BGC model and then tested with field-measured NPP and enhanced vegetation index (EVI). The simulation results show that, the mean NPP of broad-leaved Korean pine forest in Changbai Mountain was 611.71 gC/(m²•a), ranging between 473.28 and 703.44 gC/(m²•a) in 1960-2011. The model-simulated NPPs were in accordance with field NPP observations, and the temporal dynamics of simulated NPP was also consistent with that of EVI, suggesting a successful modeling of NPP patterns by BIOME-BGC. Simulated results indicate that the NPP of Korean pine (PK) was limited by growing season precipitation, while the NPP of deciduous broad-leaf trees (DB) was controlled by temperature and precipitation together. The BIOME-BGC predicts that the NPP of broad-leaved Korean pine forest will increasing remarkably under a scenario of increasing temperature, precipitation and atmospheric CO₂ simultaneously, and the NPP of PK and DB will increase 23.96% and 27.87% respectively. Increasing temperature (2℃) or precipitation (12%) alone can both lead to increasing NPP of PK and DB, and temperature had stronger effect than precipitation. However, doubled CO₂ alone do not have significant effect in increasing NPP.

Key words: BIOME-BGC model, net primary production (NPP), broad-leaved Korean pine forest, enhanced vegetation index (EVI), climate factors

中图分类号:

X171

吴玉莲,王襄平,李巧燕,孙阎. 长白山阔叶红松林净初级生产力对气候变化的响应: 基于BIOME-BGC模型的分析[J]. 北京大学学报（自然科学版）.

WU Yulian,WANG Xiangping,LI Qiaoyan,SUN Yan. Response of Broad-Leaved Korean Pine Forest Productivity of Mt. Changbai to Climate Change: An Analysis Based on BIOME-BGC Modeling[J]. Acta Scientiarum Naturalium Universitatis Pekinensis.

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https://xbna.pku.edu.cn/CN/Y2014/V50/I3/577

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