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Global vegetation modeling: Plant community structure and interactions with climate change.

机译:全球植被建模:植物群落结构以及与气候变化的相互作用。

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摘要

We are becoming increasingly aware of our impacts on the Earth's biosphere and atmosphere, but the degree and nature of future impacts and their interactions are difficult to predict. Many important components of global change revolve around global climate-vegetation interactions, particularly vegetation feedbacks to climatic change. A new Equilibrium Vegetation Ecology model (EVE) simulates natural terrestrial vegetation and is designed for interactive coupling with climate models. EVE generates a quantitative description of plant community structure, predicting fractional covers for the model's 110 plant life forms as a function of monthly mean climate. Climate is transformed into a plant community using parameterizations of dynamic ecological processes: competition for sunlight, disturbances by fire and treefall and associated secondary succession. EVE's plant life forms respond independently to climate changes, affecting the composition of each plant community, and giving them independent migrational trajectories, consistent with paleoecological data. Model sensitivity studies demonstrated that global vegetation patterns are sensitive to climate perturbations. Simulations using doubled CO2 scenarios from five global climate models (GCMs) exhibited a decline in forests associated with their poleward migration, with a commensurate expansion of grasslands.; Two pairs of coupled EVE-GCM simulations were performed, both with 1x and 2xCO2: one with prescribed vegetation, and the other with fully interactive vegetation. The interactive simulations used another model (LEAF) to simulate the seasonal phenology of EVE's plant canopies as a function of daily climate, providing leaf area and other physical quantities needed for coupling vegetation and climate models. Large effects of vegetation feedbacks in the interactive simulations are found at the northern and southern ecotones of the boreal forest. Poleward migration of boreal forests into tundra caused by CO2-induced warming is enhanced by a strong forest canopy snow-masking albedo feedback. The invasion of temperate grasslands into the southern boreal forest is also enhanced due to summer warming spreading from the north. Desertification of subtropical grasslands is mostly reversed due to enhanced monsoonal precipitation. While the effect of the vegetation feedbacks on global climate averages was small, the effect on climatological zonal and regional means was significant.
机译:我们越来越意识到我们对地球生物圈和大气层的影响,但是未来影响的程度和性质及其相互作用很难预测。全球变化的许多重要组成部分都围绕着全球气候与植被的相互作用,特别是植被对气候变化的反馈。一种新的平衡植被生态模型(EVE)可以模拟自然陆地植被,并设计用于与气候模型进行交互耦合。 EVE生成植物群落结构的定量描述,预测该模型的110种植物生命形式的覆盖率,作为月平均气候的函数。通过动态生态过程的参数化,将气候转变为植物群落:争夺阳光,因火和树木砍伐引起的干扰以及相关的次生演替。 EVE的植物生命形式独立于气候变化做出响应,影响每个植物群落的组成,并赋予它们独立的迁移轨迹,与古生态数据一致。模型敏感性研究表明,全球植被格局对气候扰动敏感。使用来自五个全球气候模型(GCM)的CO 2 情景加倍的模拟显示,森林的倒退与其极地迁徙相关,草地也相应增加。进行了两对EVE-GCM耦合模拟,分别使用1x和2xCO 2 :一个具有规定的植被,另一个具有完全互动的植被。交互式仿真使用另一个模型(LEAF)来模拟EVE的植物冠层的季节性物候随每日气候的变化,提供叶面积和其他耦合植被和气候模型所需的物理量。交互模拟中植被反馈的影响很大,位于北方森林的北部和南部过渡带。 CO 2 引起的变暖引起的北方森林向苔原的向极地迁移通过强大的森林冠层遮盖雪的反照率反馈而得以增强。由于夏季变暖从北部蔓延,温带草原对南部北方森林的入侵也有所增加。由于季风降水增加,亚热带草原的荒漠化大体上得以逆转。尽管植被反馈对全球气候平均值的影响很小,但对气候带状和区域性手段的影响却很明显。

著录项

  • 作者

    Bergengren, Jon Charles.;

  • 作者单位

    University of California, Santa Barbara.;

  • 授予单位 University of California, Santa Barbara.;
  • 学科 Biology Ecology.; Environmental Sciences.; Physics Atmospheric Science.
  • 学位 Ph.D.
  • 年度 2003
  • 页码 p.2485
  • 总页数 170
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 生态学(生物生态学);
  • 关键词

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