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Regional-Scale Drivers of Forest Structure and Function in Northwestern Amazonia

机译:西北亚马逊地区森林结构和功能的区域尺度驱动因素

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摘要

Field studies in Amazonia have found a relationship at continental scales between soil fertility and broad trends in forest structure and function. Little is known at regional scales, however, about how discrete patterns in forest structure or functional attributes map onto underlying edaphic or geological patterns. We collected airborne LiDAR (Light Detection and Ranging) data and VSWIR (Visible to Shortwave Infrared) imaging spectroscopy measurements over 600 km2 of northwestern Amazonian lowland forests. We also established 83 inventories of plant species composition and soil properties, distributed between two widespread geological formations. Using these data, we mapped forest structure and canopy reflectance, and compared them to patterns in plant species composition, soils, and underlying geology. We found that variations in soils and species composition explained up to 70% of variation in canopy height, and corresponded to profound changes in forest vertical profiles. We further found that soils and plant species composition explained more than 90% of the variation in canopy reflectance as measured by imaging spectroscopy, indicating edaphic and compositional control of canopy chemical properties. We last found that soils explained between 30% and 70% of the variation in gap frequency in these forests, depending on the height threshold used to define gaps. Our findings indicate that a relatively small number of edaphic and compositional variables, corresponding to underlying geology, may be responsible for variations in canopy structure and chemistry over large expanses of Amazonian forest.
机译:亚马逊地区的实地研究发现,在大陆范围内,土壤肥力与森林结构和功能的广泛趋势之间存在联系。然而,在区域范围内,关于森林结构或功能属性中的离散模式如何映射到基础的水生或地质模式的了解很少。我们收集了西北亚马逊低地森林600 km 2 上的机载LiDAR(光检测和测距)数据和VSWIR(可见光至短波红外)成像光谱测量结果。我们还建立了83种植物物种组成和土壤特性的清单,这些清单分布在两个广泛的地质构造之间。使用这些数据,我们绘制了森林结构和树冠反射率的图,并将它们与植物物种组成,土壤和基础地质的模式进行了比较。我们发现,土壤和物种组成的变化可解释高达70%的冠层高度变化,并对应于森林垂直剖面的深刻变化。我们进一步发现,通过成像光谱法测量,土壤和植物物种组成解释了超过90%的冠层反射率变化,表明对冠层化学性质的控制和组成控制。我们最后发现,根据用于定义间隙的高度阈值,土壤解释了这些森林中间隙频率变化的30%至70%。我们的发现表明,与基础地质情况相对应的相对较少的深层和组成变量可能是造成亚马逊森林大片林冠层结构和化学变化的原因。

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