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Simulated Annual Carbon Fluxes Of Grassland Ecosystems In Extremely Arid Conditions

机译：极端干旱条件下草地生态系统的模拟年碳通量

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摘要

In order to understand how changes in climate and land cover affect carbon cycles and structure and function of regional grassland ecosystems, we developed a grassland landscape productivity model, proposed an approach that combined both process-based modeling and spatial analysis with field measurements, and provided an example of semiarid region in Inner Mongolia, China, in extremely arid conditions. The modeled monthly mean and total net primary productivity, and monthly and annual mean respiration rates for Leymus chinensis steppes during the growing seasons in 2002 were mostly within the normal varying ranges of measured values, or similar to the field measurements, conducted in the similarly arid conditions. And the modeled total net ecosystem productivity (NEP) for L. chinensis steppes and Stipa grandis steppes were both between the lower and the higher measurements or within modeled multi-annual data by the other model. The modeled total NEP was 1.91 g C/m~2/year over the entire study region. It indicated that if human disturbances were not considered, carbon budget over the entire study region during the growing seasons was nearly in balance or weak carbon sink even under extremely arid conditions. However, the modeled NEP spatially greatly varied not only over the entire study region (-48.28-52.09 g C/m~2/ year), but also among different land cover types. The modeled results also showed that there were obvious seasonal variations in carbon fluxes, mainly caused by leaf area index; and annual precipitation was the major limiting factor for the obvious spatial patterns of carbon fluxes from the east to the west. The modeled results also revealed the influence of extreme drought on carbon fluxes. The study provides an effective approach to derive useful information about carbon fluxes for different land cover types, and thus can instruct regional land-use planning and resource management based on carbon storage conditions.
机译：为了了解气候和土地覆盖的变化如何影响碳循环以及区域草地生态系统的结构和功能，我们开发了草地景观生产力模型，提出了一种将基于过程的建模和空间分析与现场测量相结合的方法，并提供了中国内蒙古半干旱地区极端干旱的例子。在2002年生长季节中，羊草草原的月平均和总净初级生产力的模拟值以及月和年平均呼吸率大部分处于正常的测量值变化范围内，或与在类似干旱中进行的田间测量相似条件。羊草草原和大针茅草原的模拟总净生态系统生产力（NEP）介于较低和较高的测量值之间，或者位于其他模型的多年期数据中。在整个研究区域中，模拟的总NEP为1.91 g C / m〜2 /年。它表明，如果不考虑人为干扰，即使在极端干旱的条件下，整个研究区域在整个生长季节的碳收支也几乎处于平衡状态或碳汇较弱。但是，模拟的NEP不仅在整个研究区域（-48.28-52.09 g C / m〜2 /年）上，而且在不同的土地覆盖类型上，在空间上都有很大的不同。模拟结果还表明，碳通量存在明显的季节性变化，主要是由叶面积指数引起的。年降水量是影响东西向碳通量空间分布格局的主要限制因素。建模结果还揭示了极端干旱对碳通量的影响。该研究提供了一种有效的方法，可以得出有关不同土地覆盖类型的碳通量的有用信息，从而可以根据碳存储条件指导区域土地利用规划和资源管理。

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