首页> 外文期刊>Global change biology >Evaluating litter decomposition in earth system models with long-term litterbag experiments: an example using the Community Land Model version 4 (CLM4).
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Evaluating litter decomposition in earth system models with long-term litterbag experiments: an example using the Community Land Model version 4 (CLM4).

机译:通过长期的垃圾袋实验评估地球系统模型中的垃圾分解:使用社区土地模型第4版(CLM4)的示例。

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Decomposition is a large term in the global carbon budget, but models of the earth system that simulate carbon cycle-climate feedbacks are largely untested with respect to litter decomposition. We tested the litter decomposition parameterization of the community land model version 4 (CLM4), the terrestrial component of the community earth system model, with data from the long-term intersite decomposition experiment team (LIDET). The LIDET dataset is a 10-year study of litter decomposition at multiple sites across North America and Central America. We performed 10-year litter decomposition simulations comparable with LIDET for 9 litter types and 20 sites in tundra, grassland, and boreal, conifer, deciduous, and tropical forest biomes using the LIDET-provided climatic decomposition index to constrain temperature and moisture effects on decomposition. We performed additional simulations with DAYCENT, a version of the CENTURY model, to ask how well an established ecosystem model matches the observations. The results show large discrepancy between the laboratory microcosm studies used to parameterize the CLM4 litter decomposition and the LIDET field study. Simulated carbon loss is more rapid than the observations across all sites, and nitrogen immobilization is biased high. Closer agreement with the observations requires much lower decomposition rates, obtained with the assumption that soil mineral nitrogen severely limits decomposition. DAYCENT better replicates the observations, for both carbon mass remaining and nitrogen, independent of nitrogen limitation. CLM4 has low soil carbon in global earth system simulations. These results suggest that this bias arises, in part, from too rapid litter decomposition. More broadly, the terrestrial biogeochemistry of earth system models must be critically tested with observations, and the consequences of particular model choices must be documented. Long-term litter decomposition experiments such as LIDET provide a real-world process-oriented benchmark to evaluate models.Digital Object Identifier http://dx.doi.org/10.1111/gcb.12031
机译:分解是全球碳预算中的一个大名词,但是模拟垃圾循环分解的碳循环气候反馈的地球系统模型在很大程度上未经测试。我们使用长期站点间分解实验小组(LIDET)的数据测试了社区土地模型版本4(CLM4)的凋落物分解参数化,该模型是社区地球系统模型的地面组成部分。 LIDET数据集是对北美和中美洲多个地点垃圾分解的十年研究。我们使用LIDET提供的气候分解指数来限制温度和水分对分解的影响,对9种类型的苔原,草原以及寒带,针叶树,落叶和热带森林生物群落的9种凋落物类型进行了10年的凋落物分解模拟, 。我们使用CENTCENTY模型的一个版本DAYCENT进行了其他模拟,以询问已建立的生态系统模型与观测值的匹配程度。结果表明,用于参数化CLM4凋落物分解的实验室微观研究与LIDET现场研究之间存在很大差异。模拟的碳损失比所有站点的观察都更快,并且固定氮的偏向很高。与观测值更接近的要求要求分解速率要低得多,这是基于土壤矿物氮严重限制分解的假设而获得的。 DAYCENT可以更好地复制观测值,无论剩余碳量和氮,都与氮限制无关。 CLM4在全球地球系统模拟中土壤碳含量低。这些结果表明,这种偏倚部分是由于凋落物分解过快引起的。更广泛地讲,必须通过观测对地球系统模型的陆地生物地球化学进行严格测试,并且必须记录特定模型选择的后果。长期垃圾分解实验(例如LIDET)提供了一个面向过程的真实世界基准来评估模型。数字对象标识符http://dx.doi.org/10.1111/gcb.12031

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