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。
As the Earth entering into the Anthropocene, global sustainable development requires ecological research to evolve into the large-scale, quantitative, and predictive era. It necessitates a revolution of ecological obs...
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As the Earth entering into the Anthropocene, global sustainable development requires ecological research to evolve into the large-scale, quantitative, and predictive era. It necessitates a revolution of ecological observation technology and a long-term accumulation of scientific data. The ecosystem flux tower observation technology is the right one to meet this requirement. However, the unique advantages and potential values of global-scale flux tower observation are still not fully appreciated. Reviewing the development history of global meteorological observation and its scientific contributions to the society, we can get an important enlightenment to re-cognize the scientific mission of flux observation.
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