Organic matter distribution in floodplains can be predicted using spatial and vegetation structure data

摘要: Riparian forest ecosystems play a significant role in the storage of organic carbon. However, knowledge on spatial patterns matter distribution which is crucial to assessment C sequestration potential riparian still lacking. The aim our study was identify predictors floodplain soils and vegetation. We analysed depth soil horizons 1 m below surface, calculated content quantified living biomass woody debris at 67 sampling plots Donau–Auen National Park (Austria) along principle gradients (longitudinal, lateral vertical river direction). Multiple regression models were fitted using hierarchical partitioning information, supplemented by stand parameters as possible C. concentration subsoil increased significantly with distance main channel. In addition, thickness enriched downstream probably indicates effect riverbed changes over last two centuries. Model prediction improved inclusion vegetation structure variables are consequence local dynamics. Highly dynamic locations indicated higher stem numbers, greater understory cover, lower mean diameter canopy cover showed concentrations total stocks. conclude that information can indicate geomorphic dynamic, driver storage. Copyright © 2010 John Wiley & Sons, Ltd.