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Modeling the Vegetation Dynamics of Northern Shrubs and Mosses in the ORCHIDEE Land Surface Model

机译:南方灌木和苔藓植被动态的植被动态模型

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Parameterizations of plant competition processes involving shrubs, mosses, grasses, and trees were introduced with the recently implemented shrubs and mosses plant functional types in the ORCHIDEE dynamic global vegetation model in order to improve the representation of high latitude vegetation dynamics. Competition is based on light capture for growth, net primary productivity, and survival to cold‐induced mortality during winter. Trees are assumed to outcompete shrubs and grasses for light, and shrubs outcompete grasses. Shrubs are modeled to have a higher survival than trees to extremely cold winters because of thermic protection by snow. The fractional coverage of each plant type is based on their respective net primary productivity and winter mortality of trees and shrubs. Gridded simulations were carried out for the historical period and the 21st century following the RCP4.5 and 8.5 scenarios. We evaluate the simulated present‐day vegetation with an observation‐based distribution map and literature data of boreal shrubs. The simulation produces a realistic present‐day boreal vegetation distribution, with shrubs, mosses north of trees and grasses. Nevertheless, the model underestimated local shrub expansion compared to observations from selected sites in the Arctic during the last 30 years suggesting missing processes (nutrients and microscale effects). The RCP4.5 and RCP8.5 projections show a substantial decrease of bare soil, an increase in tree and moss cover and an increase of shrub net primary productivity. Finally, the impact of new vegetation types and associated processes is discussed in the context of climate feedbacks. Plain Language Summary Changes in the northern vegetation exert feedbacks on climate through surface energy and greenhouse gas fluxes. For example, increased vegetation cover can lead to warming due to stronger absorption of shortwave radiation (through decreased albedo). In this study we developed a new version of the ORCHIDEE dynamic vegetation model, allowing us to simulate the dynamical cover of mosses and shrubs, two important types of northern vegetation, alongside with grasses and trees. The prevalence of the different forms of vegetation is ruled by light capture during the growing season, mortality during the cold conditions, and competition for space. The new model is tested for present‐day land cover and used for future climate projections. We simulated a realistic vegetation map for historical simulations and a substantial decrease of bare soil with shifts of vegetation in future simulations. However, the model underestimated local shrub expansion compared to observations.
机译:涉及灌木,苔藓,草和树木的植物竞争过程的参数化,其中陆域动态全球植被模型中最近实施的灌木和苔藓植物功能类型介绍,以改善高纬度植被动态的代表性。竞争是基于光线捕获,冬季生长,净初级生产力和对冷致死亡的生存。假设树木为灌木和光草,而灌木过量的草地。由于雪的热量,灌木被建模为比树木更高的生存,而不是寒冷的冬天。每种植物类型的分数覆盖基于它们各自的净初级生产力和树木和灌木的冬季死亡率。在RCP4.5和8.5场景之后,为历史时期和21世纪进行了网格模拟。我们通过基于观察的分布图和茂密灌木的文献数据评估模拟的本日植被。该模拟产生了一种现实的当今北方植被分布,灌木,树木和草地的苔藓。然而,与在过去30年期间缺失的过程(营养素和微观效应)的北极期间选定位点的观察结果相比,模型低估了本地灌木膨胀。 RCP4.5和RCP8.5投影显示裸土减少,树木和苔藓覆盖的增加和灌木净初级生产率的增加。最后,在气候反馈的背景下讨论了新植被类型和相关过程的影响。北部植被的简单语言概要变化在气候中通过地表能量和温室气体通量施加反馈。例如,由于短波辐射的较强吸收(通过降低的Albedo),增加的植被覆盖可能导致升温。在这项研究中,我们开发了一个新版本的陆域动态植被模型,允许我们模拟苔藓和灌木的动态覆盖,两种重要类型的北部植被,以及草和树木。不同形式的植被的患病率在不断增长的季节期间,寒冷条件下的死亡率和空间竞争中统治。新型号测试当前的土地覆盖,并用于将来的气候预测。我们模拟了一个历史模拟的现实植被图,并在未来模拟中具有植被转移的裸土的大幅下降。然而,与观察结果相比,模型低估了本地灌木扩张。

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