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Examining the link between vegetation leaf area and land–atmosphere exchange of water, energy, and carbon fluxes using FLUXNET data
Biogeosciences ( IF 3.9 ) Pub Date : 2020-09-04 , DOI: 10.5194/bg-17-4443-2020
Anne J. Hoek van Dijke , Kaniska Mallick , Martin Schlerf , Miriam Machwitz , Martin Herold , Adriaan J. Teuling

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.

中文翻译:

使用FLUXNET数据检验植被叶面积与土地,大气之间的水,能量和碳通量交换之间的联系

植被调节着土地与大气之间水,能量和碳通量的交换。表面通量的这种调节因植被类型和气候而异,但是植被对表面通量的影响尚不清楚。更好地了解植被如何以及何时影响地表通量可以改善气候模型以及对地面水,能源和碳通量的推断。我们的目标是通过结合年平均MODIS叶面积指数(LAI)与水(潜热),能量(显热)和碳(总初级生产力和净生态系统交换)的通量塔测量值来研究植被与表面通量之间的联系。 )。我们表明,LAI与水和能量通量的相关性取决于植被类型和干旱程度。在水受限的条件下,LAI与水和能量通量之间的联系很强,这与早期研究中发现的强大的气孔或植被控制相符。在能量有限的森林中,我们发现LAI与水和能量通量之间没有联系。与水和能量通量相比,我们发现LAI与总初级生产力之间存在很强的空间相关性,而与植被类型和干旱无关。这项研究提供了对植被和地表通量之间联系的见解。它表明,对于模型化或外推表面通量,LAI可以用于稀树草原和草原,但仅在落叶阔叶林和常绿针叶林中有限地用于模拟水和能量通量的变化。这与早期研究中强烈的气孔或植被控制相符。在能量有限的森林中,我们发现LAI与水和能量通量之间没有联系。与水和能量通量相比,我们发现LAI与总初级生产力之间存在很强的空间相关性,而与植被类型和干旱无关。这项研究提供了对植被和地表通量之间联系的见解。它表明,对于模型化或外推表面通量,LAI可以用于稀树草原和草原,但仅在落叶阔叶林和常绿针叶林中有限地用于模拟水和能量通量的变化。这与早期研究中强烈的气孔或植被控制相符。在能量有限的森林中,我们发现LAI与水和能量通量之间没有联系。与水和能量通量相比,我们发现LAI与总初级生产力之间存在很强的空间相关性,而与植被类型和干旱无关。这项研究提供了对植被和地表通量之间联系的见解。它表明,对于模型化或外推表面通量,LAI可以用于稀树草原和草原,但仅在落叶阔叶林和常绿针叶林中有限地用于模拟水和能量通量的变化。我们发现LAI与总初级生产力之间存在很强的空间相关性,而与植被类型和干旱无关。这项研究提供了对植被和地表通量之间联系的见解。它表明,对于模型化或外推表面通量,LAI可以用于稀树草原和草原,但仅在落叶阔叶林和常绿针叶林中有限地用于模拟水和能量通量的变化。我们发现LAI与总初级生产力之间存在很强的空间相关性,而与植被类型和干旱无关。这项研究提供了对植被和地表通量之间联系的见解。它表明,对于模型化或外推表面通量,LAI可以用于稀树草原和草原,但仅在落叶阔叶林和常绿针叶林中有限地用于模拟水和能量通量的变化。
更新日期:2020-09-05
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