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首页> 外文期刊>Journal of Geophysical Research, C. Oceans: JGR >Sensitivity of net ecosystem exchange and heterotrophic respiration to parameterization uncertainty
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Sensitivity of net ecosystem exchange and heterotrophic respiration to parameterization uncertainty

机译：净生态系统交换和异养呼吸对参数不确定性的敏感性

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We examine the uncertainty in net ecosystem exchange due to the model treatment of heterotrophic respiration in a variety of hydroclimatic conditions using a land surface model. Multiple soil temperature-respiration functions and soil moisture-respiration functions are incorporated into the Carnegie-Ames-Stanford Approach with Carbon-Nitrogen-Phosphorus (CASA-CNP) biogeochemical model coupled to the Community Atmosphere Biosphere Land Exchange land surface model. Every possible combination of the newly implemented functions is then used to simulate heterotrophic respiration and net ecosystem exchange at 10 different flux towers covering a large range of global vegetation types. Results show that a large uncertainty in the simulated net ecosystem exchange is attributable to differences in the soil respiration parameterization. No single combination of soil temperature and moisture-respiration functions appears to show superior performance across all sites. Large variations in the simulated evolution of soil carbon storages emphasize the problem that to use an observationally based soil temperature or soil moisture response function requires a land surface model to capture the observed soil temperature and soil moisture mean and variability correctly. Land surface models are known to vary dramatically in their simulation of the soil moisture state and probably in their simulation of soil temperature. Resolving how to simulate heterotrophic respiration and net ecosystem exchange will therefore require an accurate simulation of temperature and moisture combined with a realistic soil heterotrophic respiration parameterization, and these cannot be developed and implemented in isolation. Key PointsMoisture and temperature controls on soil Rh are uncertain in LSMsNo response function performs better at all studied sitesDifferent response functions lead to different signs of NEE
机译：我们使用陆地表面模型研究了在多种水气候条件下对异养呼吸的模型处理所带来的净生态系统交换的不确定性。卡内基-埃姆斯-斯坦福方法将碳-氮-磷（CASA-CNP）生物地球化学模型与社区大气生物圈土地交换地表模型相结合，并结合了多种土壤温度呼吸功能和土壤水分呼吸功能。然后，新实现的功能的每种可能组合都可用于模拟10种不同通量塔上的异养呼吸和净生态系统交换，这些塔涵盖了广泛的全球植被类型。结果表明，在模拟的净生态系统交换中存在很大的不确定性，这归因于土壤呼吸参数设置的差异。土壤温度和水分呼吸功能的任何单一组合似乎都没有在所有地点显示出优异的性能。土壤碳储量模拟变化的大变化突出了一个问题，即使用基于观测的土壤温度或土壤湿度响应函数需要一个土地表面模型来正确捕获观测到的土壤温度，土壤湿度平均值和变异性。众所周知，地表模型在模拟土壤水分状态以及模拟土壤温度方面会发生巨大变化。因此，要解决如何模拟异养呼吸和净生态系统交换的问题，就需要对温度和湿度进行精确的模拟，并结合实际的土壤异养呼吸参数设置，而这些问题无法单独开发和实施。关键点LSM中土壤Rh的湿度和温度控制不确定在所有研究地点没有响应函数表现更好不同的响应函数导致NEE的迹象不同

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