干旱区生态环境知识资源中心(Arid): 气候变化对中亚草地生态系统碳循环的影响研究

Arid

	气候变化对中亚草地生态系统碳循环的影响研究
其他题名	Impact of climate change on grassland carbon cycling in Central Asia
	韩其飞 1; 陆研 2; 李超凡 3
来源期刊	干旱区地理
ISSN	1000-6060
出版年	2018
卷号	41 期号:6 页码:1351-1357
中文摘要	准确评估草地生产力、碳源/碳汇功能,分析气候变化对草地生态系统碳循环的影响,对于草地资源的合理开发和有效保护至关重要.选取对气候变化以及人类干扰高度敏感的中亚干旱区草地生态系统为研究对象,利用Biome-BGC模型,模拟分析其NPP、NEP的年际变化趋势及其空间分布格局.结果显示:(1) 1979-2011年中亚地区草地生态系统NPP年平均值为135.6 gC · m~(-2) · a ~(-1),且随着时间的推移呈现出波动下降的趋势,下降速率为0.34 gC · m~(-2) · a~(-1).(2) NEP的年平均值为-8.3 gC · m~(-2) · a ~(-1),表现为碳源,且该值随着时间的推移呈现出波动上升的趋势,上升速率为0.58 gC · m~(-2) · a ~(-1).(3) NPP高值区域在降水较为丰富的天山山脉附近以及哈萨克斯坦北部.(4) NPP的年际变化与降水量的年际变化趋势基本一致,相关系数为0.52;NPP与温度的相关系数为-0.28,未达到显著相关水平.本研究实现了Biome-BGC模型在中亚干旱区草地生态系统的应用,对评价干旱区草地生态系统碳源/碳汇功能及其在全球碳循环和全球变化中的作用、实现中亚草地生态系统的可持续利用、完善区域和全球碳循环理论体系具有重要意义.
英文摘要	The global ecosystem has experienced tremendous climate change since the 20th Century. The arid and semi-arid region of Central Asia (referred to as" Central Asia") is one of the most sensitive regions to climate variations. With the intensification of human disturbances such as grazing, the grassland ecosystem in Central Asia has become one of the most uncertain regions in global carbon cycle estimation. Therefore, to accurately evaluate grassland ecosystem productivity, carbon source/carbon sink function and analyze the impact of climate change and human disturbance on the grassland carbon cycle is crucial for grassland resource’s reasonable development and effective protection. Ecosystem process-based models are widely used by the researchers to simulate the climate change effects on grassland ecosystem structure and function. The Biome-BGC model, proposed by the Numerical Terrady-namic Stimulation Group (NTSG) of Montana University in the United States has been widely used to simulate the spatio-temperal patterns of carbon dynamics in arid areas with limited field data. In this study, we adopted the bioge-ochemical cycle model Biome-BGC to simulate carbon dynamics in Central Asia for grassland ecosystem. The results indicated as follows: (1) the averaged NPP value of grassland in Central Asia is 135.6 gC · m~(-2) ·a~(-1),which decreased at a rate of 0.34 gC · m~(-2) · a~(-1). (2) the averaged NPP value of grassland in Central Asia is -8.3 gC ·m~(-2) · a~(-1),acted as a carbon source,which increased at a rate of 0.58 gC · m~(-2) · a~(-1). (3) NPP high values are mainly presented nearby the Tianshan Mountains and Northern Kazakhstan with relatively abundant rainfall. (4) The interannual variation of NPP is basically consistent with the variation trend of precipitation,the correlation coefficient is 0.52,and the correlation coefficient of NPP and temperature is -0.28,which does not reach significant correlation level. The Biome-BGC model has achieved good simulation results in this area,but uncertainty still exist. The uncertainties mainly come from the following aspects:(1) Biome-BGC is based on the ideal assumption that the vegetation composition remains unchanged,which is not consistent with the reality. (2) It is difficult to accurately parameterize the model because of the lack of reliable field data. (3) The low resolution of the meteorological data. This study proves the usability of Biome-BGC model in grassland ecosystem in arid grasslands of Central Asia. It is of great significance to evaluate the carbon source/sink potential and achieve the sustainable utilization of grassland ecosystem in Central Asia.
中文关键词	气候变化 ; 草地生态系统 ; Biome-BGC模型 ; 碳循环
英文关键词	climate change grassland ecosystems Biome-BGC carbon cycle
语种	中文
国家	中国
收录类别	CSCD
WOS类目	AGRICULTURE MULTIDISCIPLINARY
WOS研究方向	Agriculture
CSCD记录号	CSCD:6386375
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/237627
作者单位	1.南京信息工程大学地理科学学院;;南京信息工程大学, ;;气象灾害预报预警与评估协同创新中心, 南京;;南京, 江苏;;江苏 210044;;210044, 中国; 2.南京信息工程大学遥感与测绘工程学院, 南京, 江苏 210044, 中国; 3.南京信息工程大学地理科学学院, 南京, 江苏 210044, 中国
推荐引用方式 GB/T 7714	韩其飞,陆研,李超凡. 气候变化对中亚草地生态系统碳循环的影响研究[J],2018,41(6):1351-1357.
APA	韩其飞,陆研,&李超凡.(2018).气候变化对中亚草地生态系统碳循环的影响研究.干旱区地理,41(6),1351-1357.
MLA	韩其飞,et al."气候变化对中亚草地生态系统碳循环的影响研究".干旱区地理 41.6(2018):1351-1357.