Quantifying carbon budget, crop yields and their responses to environmental variability using the ecosys model for U.S. Midwestern agroecosystems
Quantifying carbon budget, crop yields and their responses to environmental variability using the ecosys model for U.S. Midwestern agroecosystems
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DOI：
10.1016/j.agrformet.2021.108521
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发表时间：
2021-09
影响因子：
6.2
通讯作者：
Wang Zhou;K. Guan;B. Peng;Jinyun Tang;Zhenong Jin;Chongya Jiang;R. Grant;S. Mezbahuddin
中科院分区：
文献类型：
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作者：
Wang Zhou;K. Guan;B. Peng;Jinyun Tang;Zhenong Jin;Chongya Jiang;R. Grant;S. Mezbahuddin
美国是世界上最大的农业生产国之一。中西部在全球粮食供应和农业生态系统服务中发挥着至关重要的作用。虽然在这一领域的碳循环动力学建模方面已经做出了重大努力，但在以前的模拟中，在再现碳循环的各个组成部分及其对环境变化的响应方面仍然存在很大的不确定性。在这里，我们评估了一个先进的农业生态系统模型，ecosys的性能，在模拟美国中西部中西部的碳收支，考虑到碳通量/产量的大小及其对环境（气候和土壤）的变化。我们在美国中西部的伊利诺斯州、印第安纳州和爱荷华州的7个农田涡动协方差点以及超过293个县进行了模型模拟和评估。站点级模拟显示，系统同时捕捉了碳通量的大小和季节模式（即，净生态系统碳交换（NEE），生态系统总初级生产力（GPP），生态系统呼吸（Reco）），叶面积指数（LAI），和动态植物碳分配过程，与观测结果相比，在所有站点的GPP，NEE，Reco和LAI的R2分别为0.92，0.87，0.87和0.78。对于区域尺度的模拟，生态系统再现了玉米和大豆产量的空间分布和年际变化的约束下，观测产量和一个新的遥感GPP产品，与多年平均模拟和观测产量的R2分别为0.83和0.80玉米和大豆。模拟的碳循环动力学对环境变化的响应在站点和区域尺度上与经验观测结果一致。我们的研究结果表明，生态系统在模拟不同气候和土壤条件下的美国中西部农业生态系统的碳循环和土壤碳动态的适用性。
As one of the major agricultural production areas in the world, the United States (U.S.) Midwest plays a vital role in the global food supply and agricultural ecosystem services. Although significant efforts have been made in modeling the carbon cycle dynamics over this area, large uncertainty still exists in the previous simulations in terms of reproducing individual components of the carbon cycle and their responses to environmental variability. Here we evaluated the performance of an advanced agroecosystem model,ecosys, in simulating carbon budgets over the U.S. Midwest, considering both the magnitude of carbon flux/yield and its response to environmental (climate and soil) variability. We conducted model simulations and evaluations at 7 cropland eddy-covariance sites as well as over 293 counties of Illinois, Indiana, and Iowa in the U.S. Midwest. The site-level simulations showed thatecosyscaptured both the magnitude and seasonal patterns of carbon fluxes (i.e., net ecosystem carbon exchange (NEE), ecosystem gross primary production (GPP), and ecosystem respiration (Reco)), leaf area index (LAI), and dynamic plant carbon allocation processes, with R2equal to 0.92, 0.87, 0.87, and 0.78 for GPP, NEE, Reco, and LAI, respectively across all the sites compared with the observations. For regional scale simulations,ecosysreproduced the spatial distribution and interannual variability of corn and soybean yields with the constraints of observed yields and a new remotely sensed GPP product, with R2of multi-year averaged simulated and observed yield equal 0.83 and 0.80 for corn and soybean, respectively. The simulated responses of carbon cycle dynamics to environmental variability were consistent with that from the empirical observations at both site and regional scales. Our results demonstrated the applicability ofecosysin simulating the carbon cycle and soil carbon dynamics of the U.S. Midwestern agroecosystems under different climate and soil conditions.