![]() ![]() At the cellular level, bamboo culm wall consists of vascular bundles embedded in a parenchyma cell tissue matrix. Moso (Phyllostachys edulis) bamboo is a commercially important bamboo species. This article presents one such method with an application to the bamboo culm wall. A method that can connect information at multiple length scales has great potential to reveal novel information. Finally, based on our understanding of topography-vegetation relationships and the high-resolution Moso bamboo maps we created, we highlighted some practical forest management strategies, such as how to select potential sites for Moso bamboo plantings, and intercropping Moso bamboo with other crops to maintain soil fertility and productivity.īiological materials have a complex, hierarchical structure, with vital structural features present at all size scales, from the nanoscale to the macroscale. In addition, by comparing our site to other sites with different climate-terrain combinations, we found that topography appears to be less important for vegetation distribution only at sites with low relief and dry climates. For example, the boundaries of Moso bamboo and mixed forest corresponded well with the locations where water transfer related terrain attributes, such as upslope accumulated area (UAA) and topographic wetness index (TWI), abruptly decreased. We found that the Moso bamboo distribution was highly related to water transfer processes. We then surveyed the vegetation throughout the 135-ha Hemuqiao catchment and counted individual bamboo trees using remote sensing with unmanned aerial vehicles (UAVs). We highlighted the importance of lateral unsaturated flow driven by steep slopes in redistributing soil water during summer droughts: it accelerates soil moisture drying on ridges but maintains high moisture content in the valley, resulting in the present pattern of bamboo distribution. There were few Moso bamboo trees in the valley bottom owing to the prevailing waterlogging, while Moso bamboo could hardly penetrate the hilltops and ridges owing to the insufficient water content. We found that the Moso bamboo distribution changed along the hill-to-valley drainage. Both linear (all-possible-subset regression model) and nonlinear (artificial neural network) data mining algorithms were used to build soil water prediction models to investigate the relationships between topography and vegetation. Detailed topography, runoff, and high frequency (6-min) soil moisture data were collected. The study was initially conducted on a steep 0.31-ha hillslope. In this study, we addressed the occurrence and distribution of Moso bamboo by examining terrain-related soil water dynamics at the Hemuqiao Experimental Station in southeastern China. However, how terrain-related moisture regulates the distribution of Moso bamboo (Phyllostachys edulis) remains unclear. Topography strongly controls soil moisture redistribution in forested mountain catchments. ![]()
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