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Environmental control of leaf area production: Implications for vegetation and land-surface modeling

机译:叶面积生产的环境控制:对植被和土地表面建模的启示

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Leaf surface area per unit ground cover (leaf area index, LAI) is one of the major controls on plant productivity and biospheric feedbacks on atmospheric energy and water exchanges. Nearly all vegetation and land-surface models include parameterizations of LAI, however not much research currently focuses on the validation of simulated responses of LAI to environmental change. The objective of our research was to quantitatively review the plant science literature to extract information on the response of LAI to variations in soil moisture, soil fertility and atmospheric CO_2. Our synthesis confirms that LAI is likely co-limited by a number of resources, including water, nitrogen and light. Atmospheric CO_2 influences LAI in much the same manner as other plant resources. When CO_2 supply is strongly limiting to gross primary production (i.e., at relatively low CO_2 concentrations), LAI is strongly correlated with CO_2, whereas when CO_2 is abundant, LAI sensitivity to CO_2 dramatically decreases. Such a nonlinear relationship between leaf area production and atmospheric CO_2 may introduce a potential bias for global change modeling, particularly in the simulation of low-density vegetation that has the potential to significantly increase canopy size without inducing self-shading.
机译:每单位地被植物的叶子表面积(叶面积指数,LAI)是控制植物生产力以及生物层对大气能量和水交换的反馈的主要控制之一。几乎所有的植被和土地表面模型都包括LAI的参数化,但是目前很少有研究集中在LAI对环境变化的模拟响应的验证上。我们研究的目的是定量回顾植物科学文献,以提取有关LAI对土壤水分,土壤肥力和大气CO_2变化的响应的信息。我们的综合证实,LAI可能受到包括水,氮和光在内的多种资源的共同限制。大气CO_2对LAI的影响与其他植物资源几乎相同。当CO_2的供应严重限制了初级总产值时(即在相对较低的CO_2浓度下),LAI与CO_2紧密相关,而当CO_2丰富时,LAI对CO_2的敏感性急剧下降。叶面积生产与大气CO_2之间的这种非线性关系可能会为整体变化建模引入潜在的偏差,特别是在低密度植被的模拟中,这种潜力可能会显着增加冠层大小而不会引起自阴影。

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