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'Forest-grass' global vegetation model with forest age structure

机译:具有林龄结构的“林草”全球植被模型

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In the paper [Ecol. Modell. 124 (1999) 131], a set of "simplest" models of the global vegetation pattern (GVP) was suggested. All these models are based on the simple probabilistic "urn" schemes and their dynamics were sufficiently complex to present nonlinear phenomena such as multiple equilibriums and hysteresis. Although these schemes are simple, sufficiently complex behaviour is implied. Expressed in terms of equations with biologically motivated parameters, only three equilibriums corresponding to "grass ", transition "grass-forest" and "forest" zones exist. Stability domains of these equilibriums do not intersect in the parameter space. Since at each geographical point, the GVP dynamics is described by the same dynamical system with different parameters; then this difference is defined by the change in annual temperature and precipitation. We also assume that at any point there are both tree and grass "seeds". In order to reduce the number of independent parameters, we formulate two additional hypotheses. Let tau(m) and tau(l), i.e. the age of maturity and the life span for trees. Then, (1) the ratio k(tau) = tau(m)/t(l) must be constant for coniferous and deciduous trees and (2) tau(m) = tau(ml)(T). Both these hypotheses have been tested. As a result only one parameter, which governs the intensity of competition within a mature tree cohort, remained free and it could be used for the tuning purposes. Since the final GVP substantially depends on the border shape between forest, grass and mixed biomes in the climatic space {temperature, precipitation}; then in order to obtain better coincidence between the real and modelled GVP, we should modify the classic Lieth diagram. After calibrating parameters using climatic and vegetation data we developed a model, which predicts vegetation distribution in satisfactory agreement with observation for the present day. It is also shown that a "relaxation" time (time to reach equilibrium) for a transition zone is more than one order greater than the time for "pure" grass and forests equilibriums. This means that a real transformation of the GVP under climate change is a very slow process. (C) 2002 Elsevier Science B.V. All rights reserved. [References: 16]
机译:在论文[Ecol。型号124(1999)131],提出了一套“最简单”的全球植被格局(GVP)模型。所有这些模型均基于简单的概率“ ur”方案,其动力学足够复杂,无法呈现非线性现象,例如多重平衡和磁滞现象。尽管这些方案很简单,但是暗示了足够复杂的行为。用具有生物学动机参数的方程式表示,仅存在对应于“草”,过渡“草-森林”和“森林”区域的三个平衡。这些平衡的稳定域在参数空间中不相交。由于在每个地理点上,GVP动力学都是由具有不同参数的同一动力学系统描述的;那么这种差异是由年气温和降水量的变化定义的。我们还假定在任何时候都存在树木和草木的“种子”。为了减少独立参数的数量,我们提出了另外两个假设。设tau(m)和tau(l),即树的成熟年龄和寿命。然后,(1)针叶树和落叶树的比率k(tau)= tau(m)/ t(l)必须恒定,而(2)tau(m)= tau(ml)(T)。这两个假设都经过了检验。结果,只有一个控制成熟树队列中竞争强度的参数保持自由状态,并且可以用于调整目的。由于最终的GVP主要取决于气候空间中的森林,草丛和混合生物群落之间的边界形状(温度,降水);然后,为了获得真实的GVP与建模的GVP之间的更好的重合,我们应该修改经典的Lieth图。在使用气候和植被数据校准参数后,我们开发了一个模型,该模型可以预测植被分布,与当今的观测结果令人满意。还显示出过渡区域的“松弛”时间(达到平衡的时间)比“纯”草和森林平衡的时间大一个数量级。这意味着在气候变化下GVP的真正转变是一个非常缓慢的过程。 (C)2002 Elsevier Science B.V.保留所有权利。 [参考:16]

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