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首页> 外文期刊>Biogeosciences Discussions >Examining the link between vegetation leaf area and land–atmosphere exchange of water, energy, and carbon fluxes using FLUXNET data
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Examining the link between vegetation leaf area and land–atmosphere exchange of water, energy, and carbon fluxes using FLUXNET data

机译:检查植被叶面积与土地气氛交换水,能量和碳通量之间的联系

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Vegetation regulates the exchange of water, energy, and carbon fluxes between the land and the atmosphere. This regulation of surface fluxes differs with vegetation type and climate, but the effect of vegetation on surface fluxes is not well understood. A better knowledge of how and when vegetation influences surface fluxes could improve climate models and the extrapolation of ground-based water, energy, and carbon fluxes. We aim to study the link between vegetation and surface fluxes by combining the yearly average MODIS leaf area index (LAI) with flux tower measurements of water (latent heat), energy (sensible heat), and carbon (gross primary productivity and net ecosystem exchange). We show that the correlation of the LAI with water and energy fluxes depends on the vegetation type and aridity. Under water-limited conditions, the link between the LAI and the water and energy fluxes is strong, which is in line with a strong stomatal or vegetation control found in earlier studies. In energy-limited forest we found no link between the LAI and water and energy fluxes. In contrast to water and energy fluxes, we found a strong spatial correlation between the LAI and gross primary productivity that was independent of vegetation type and aridity. This study provides insight into the link between vegetation and surface fluxes. It indicates that for modelling or extrapolating surface fluxes, the LAI can be useful in savanna and grassland, but it is only of limited use in deciduous broadleaf forest and evergreen needleleaf forest to model variability in water and energy fluxes.
机译:植被调节土地和大气之间的水,能量和碳通量的交换。这种表面助熔剂的调节与植被类型和气候不同,但植被在表面势态上的效果也不太了解。更好地了解如何以及当植被影响表面助熔剂可以改善气候模型和地面水,能量和碳通量的外推。我们的目的,研究植被和表面通量之间的联系,通过将年平均水平叶面积指数(LAI)与水(潜热),能量(明智的热)和碳(初级生产力和净生态系统交易所总体)相结合)。我们表明,Lai与水和能量通量的相关性取决于植被类型和炎症。在有限的条件下,莱赖和水和能量通量之间的联系强,这与早期研究中发现的强烈的气孔或植被控制一致。在能量有限的森林中,我们发现了赖斯和水和能量通量之间的联系。与水和能量通量相比,我们发现赖丽和初级生产率之间的强烈空间相关性,这些初级生产率与植被型和干燥有关。本研究提供了洞察植被和表面通量之间的联系。它表明,对于建模或推断的表面通量,LAI可以在大草原和草原中有用,但它只在落叶阔叶林和常绿的针心林中使用有限,以模拟水和能量通量的模型变异性。

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