Grassland is a major carbon sink in the terrestrial ecosystem. The dynamics of grassland carbon stock profoundly influence the global carbon cycle. In the published literatures so far, however, there are limited studi...Grassland is a major carbon sink in the terrestrial ecosystem. The dynamics of grassland carbon stock profoundly influence the global carbon cycle. In the published literatures so far, however, there are limited studies on the long-term dynamics and influential factors of grassland carbon stock, including soil organic carbon. In this study, spatial-temporal substitution method was applied to explore the characteristics of Medicago sativa L.(alfalfa) grassland biomass carbon and soil organic carbon density(SOCD) in a loess hilly region with different growing years and management patterns. The results demonstrated that alfalfa was the mono-dominant community during the cutting period(viz. 0–10 year). Community succession began after the abandonment of alfalfa grassland and then the important value of alfalfa in the community declined. The artificial alfalfa community abandoned for 30 years was replaced by the S. bungeana community. Accordingly, the biomass carbon density of the clipped alfalfa showed a significant increase over the time during 0–10 year. During 0–30 year, the SOCD from 0–100 cm of the soil layer of all 5 management patterns increased over time with a range between 5.300 ± 0.981 kg/m2 and 12.578 ± 0.863 kg/m2. The sloping croplands had the lowest SOCD at 5.300 ± 0.981 kg/m2 which was quite different from the abandoned grasslands growing for 30 years which exhibited the highest SOCD with 12.578 ± 0.863 kg/m2. The ecosystem carbon density of the grassland clipped for 2 years increased 0.1 kg/m2 compared with the sloping cropland, while that of the grassland clipped for 10 years substantially increased to 10.30 ± 1.26 kg/m2. Moreover, the ecosystem carbon density for abandoned grassland became 12.62 ± 0.50 kg/m2 at 30 years. The carbon density of the grassland undisturbed for 10 years was similar to that of the sloping cropland and the grassland clipped for 2 years. Different management patterns imposed great different effects on the accumulation of biomass carbon on artificial grasslands, whereas the ecosystem carbon density of the grassland showed a slight increase from the clipping to abandonment of grassland in general.展开更多
青藏高原是中国陆地生态系统的一个重要的碳汇功能区,但其碳汇强度及潜力的估算存在很大的差异,不利于区域碳中和目标的实现。基于涡度相关技术观测的原生高寒草地生态系统CO_(2)通量的40个站点年数据,结合2000年~2018年的年均气温、年...青藏高原是中国陆地生态系统的一个重要的碳汇功能区,但其碳汇强度及潜力的估算存在很大的差异,不利于区域碳中和目标的实现。基于涡度相关技术观测的原生高寒草地生态系统CO_(2)通量的40个站点年数据,结合2000年~2018年的年均气温、年均降水和年最大归一化植被指数(NDVIm)等因子,构建增强回归树模型以研究青海省陆地生态系统碳汇潜力及空间特征。结果表明增强回归树模型能够较好地模拟原生高寒草地碳汇强度的时空变异(R2=0.61),碳汇强度的观测值与模拟值的均方根误差和平均绝对误差分别为33.78 g C/m^(2)和26.63 g C/m^(2)。年均气温和NDVIm是高寒草地碳汇强度时空变异的主要影响因子,二者的相对贡献分别为48.6%和39.0%。青海省陆地生态系统每年的碳汇潜力平均为44.82±22.57 g C/m^(2)(平均值±标准差),高值区集中在海北州的中部及黄南州、果洛州和玉树州的东南部,低值区分布在海西州、海南州和海东市。青海省陆地生态系统每年的碳汇潜力总和为16.60 Mt C,其中高寒草甸和高寒草原分别为11.48 Mt C和3.13 Mt C,是青海省碳汇功能维持和提升的重点保育对象。研究结果可为青海省陆地生态系统的功能评估及率先实现碳中和目标提供数据支撑。展开更多
为全面深入了解草原碳汇相关研究在全球的现状和发展趋势,客观反映相关研究国家、机构、期刊、研究者的科研动向和影响力,采用Web of Science核心合集数据库中2010-2019年收录的有关草原碳汇研究的相关文献,基于CiteSpace软件进行可视...为全面深入了解草原碳汇相关研究在全球的现状和发展趋势,客观反映相关研究国家、机构、期刊、研究者的科研动向和影响力,采用Web of Science核心合集数据库中2010-2019年收录的有关草原碳汇研究的相关文献,基于CiteSpace软件进行可视化分析。结果表明:关于草原碳汇全球发文量,中国居榜首,美国和德国其次,国际合作方面,英国贡献最大,其他国家需加强合作和成果分享。发文量最多的机构为中国科学院,远超其他机构。《Global Change Biology》期刊在被引次数方面优势明显,在学术界有较大影响力。国外学者Butterbach-Bahl K发表相关文献数量最多,为领域作出较大贡献,其他作者之间合作强度还需加强。综合分析热点和前沿,提出了需加强对草原碳平衡的综合评估,丰富研究方法,扩大研究内容。展开更多
基金Under the auspices of Strategic Priority Research Program of Chinese Academy of Sciences(No.XDA05000000)National Natural Science Foundation of China(No.41271518)Sci-technology Project of Shaanxi Province(No.2013kw19-01)
文摘Grassland is a major carbon sink in the terrestrial ecosystem. The dynamics of grassland carbon stock profoundly influence the global carbon cycle. In the published literatures so far, however, there are limited studies on the long-term dynamics and influential factors of grassland carbon stock, including soil organic carbon. In this study, spatial-temporal substitution method was applied to explore the characteristics of Medicago sativa L.(alfalfa) grassland biomass carbon and soil organic carbon density(SOCD) in a loess hilly region with different growing years and management patterns. The results demonstrated that alfalfa was the mono-dominant community during the cutting period(viz. 0–10 year). Community succession began after the abandonment of alfalfa grassland and then the important value of alfalfa in the community declined. The artificial alfalfa community abandoned for 30 years was replaced by the S. bungeana community. Accordingly, the biomass carbon density of the clipped alfalfa showed a significant increase over the time during 0–10 year. During 0–30 year, the SOCD from 0–100 cm of the soil layer of all 5 management patterns increased over time with a range between 5.300 ± 0.981 kg/m2 and 12.578 ± 0.863 kg/m2. The sloping croplands had the lowest SOCD at 5.300 ± 0.981 kg/m2 which was quite different from the abandoned grasslands growing for 30 years which exhibited the highest SOCD with 12.578 ± 0.863 kg/m2. The ecosystem carbon density of the grassland clipped for 2 years increased 0.1 kg/m2 compared with the sloping cropland, while that of the grassland clipped for 10 years substantially increased to 10.30 ± 1.26 kg/m2. Moreover, the ecosystem carbon density for abandoned grassland became 12.62 ± 0.50 kg/m2 at 30 years. The carbon density of the grassland undisturbed for 10 years was similar to that of the sloping cropland and the grassland clipped for 2 years. Different management patterns imposed great different effects on the accumulation of biomass carbon on artificial grasslands, whereas the ecosystem carbon density of the grassland showed a slight increase from the clipping to abandonment of grassland in general.
文摘青藏高原是中国陆地生态系统的一个重要的碳汇功能区,但其碳汇强度及潜力的估算存在很大的差异,不利于区域碳中和目标的实现。基于涡度相关技术观测的原生高寒草地生态系统CO_(2)通量的40个站点年数据,结合2000年~2018年的年均气温、年均降水和年最大归一化植被指数(NDVIm)等因子,构建增强回归树模型以研究青海省陆地生态系统碳汇潜力及空间特征。结果表明增强回归树模型能够较好地模拟原生高寒草地碳汇强度的时空变异(R2=0.61),碳汇强度的观测值与模拟值的均方根误差和平均绝对误差分别为33.78 g C/m^(2)和26.63 g C/m^(2)。年均气温和NDVIm是高寒草地碳汇强度时空变异的主要影响因子,二者的相对贡献分别为48.6%和39.0%。青海省陆地生态系统每年的碳汇潜力平均为44.82±22.57 g C/m^(2)(平均值±标准差),高值区集中在海北州的中部及黄南州、果洛州和玉树州的东南部,低值区分布在海西州、海南州和海东市。青海省陆地生态系统每年的碳汇潜力总和为16.60 Mt C,其中高寒草甸和高寒草原分别为11.48 Mt C和3.13 Mt C,是青海省碳汇功能维持和提升的重点保育对象。研究结果可为青海省陆地生态系统的功能评估及率先实现碳中和目标提供数据支撑。
