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首页> 外文期刊>Environmental Monitoring and Assessment >Interaction effects of the main drivers of global climate change on spatiotemporal dynamics of high altitude ecosystem behaviors: process-based modeling
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Interaction effects of the main drivers of global climate change on spatiotemporal dynamics of high altitude ecosystem behaviors: process-based modeling

机译：全球气候变化主要驱动因素的互动效应高海拔生态系统行为的时空动态：基于过程的建模

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摘要

Soil organic carbon and nitrogen (SOC-N) dynamics are indicative of the human-induced disturbances of the terrestrial ecosystems the quantification of which provides insights into interactions among drivers, pressures, states, impacts, and responses in a changing environment. In this study, a process-based model was developed to simulate the eight monthly outputs of net primary productivity (NPP), SOC-N pools, soil C:N ratio, soil respiration, total N emission, and sediment C-N transport effluxes for cropland, grassland, and forest on a hectare basis. The interaction effect of the climate change drivers of aridity, CO(2)fertilization, land-use and land-cover change, and best management practices was simulated on high altitude ecosystems from 2018 to 2070. The best management practices were developed into a spatiotemporally composite index based on SOC-N stock saturation, 4/1000 initiative, and RUCLE-C factor. Our model predictions differed from the remotely sensed data in the range of - 64% (underestimation) for the cropland NPP to 142% (overestimation) for the grassland SOC pool as well as from the global mean values in the range of - 97% for the sediment C and N effluxes to 60% for the total N emission from the grassland. The interaction exerted the greatest negative impact on the monthly sediment N efflux, total N emission, and soil respiration from forest by - 90.5, - 82.7, and - 80.3% and the greatest positive impact on the monthly sediment C effluxes from cropland, grassland, and forest by 139.3, 137.1, and 133.3%, respectively, relative to the currently prevailing conditions.
机译：土壤有机碳和氮气（SoC-N）动态表明人为陆地生态系统的紊乱，其量化在驾驶员，压力，州，影响和反应中的互动方面提供了洞察力。在这项研究中，开发了一种基于过程的模型来模拟净初级生产率（NPP），SoC-N池，土壤C：N比，土壤呼吸，总排放和沉积物CN运输流出的八月，草原和森林在公顷的基础上。 2018年至2070年的高海拔生态系统模拟了气候变化助药，施肥，土地利用和陆地覆盖变化和最佳管理实践的互动效应。最佳管理实践已成为一种旺盛的管理实践基于SoC-N股饱和度的综合指数，4/1000倡议和核心C因子。我们的模型预测与远程感测的数据不同 - 64％（低估）为草原SOC池的农田NPP（低估）为142％（高估），以及从全球平均值的范围内 - 97％沉积物C和N的沉积物C和N次从草地排放的60％。互动对森林的月度沉积物N流出，总N排放和土壤呼吸的互动产生了最大的负面影响 - 90.5， - 82.7，以及 - 80.3％，以及对农田，草原的月度沉积物C流出的最大影响。和森林分别相对于目前普遍的条件分别为139.3,137.1和133.3％。

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