02436naa a2200205 a 450000100080000000500110000800800410001902400350006010000220009524501410011726000090025852017950026765000220206265300200208465300160210465300280212070000170214870000170216577300480218219388502012-11-21 2012 bl uuuu u00u1 u #d7 a10.1007/s10980-011-9702-32DOI1 aVASQUES, G. de M. aAssociations between soil carbon and ecological landscape variables at escalating spatial scales in Florida, USA.h[electronic resource] c2012 aThe spatial distribution of soil carbon (C) is controlled by ecological processes that evolve and interact over a range of spatial scales across the landscape. The relationships between hydrologic and biotic processes and soil C patterns and spatial behavior are still poorly understood. Our objectives were to (i) identify the appropriate spatial scale to observe soil total C (TC) in a subtropical landscape with pronounced hydrologic and biotic variation, and (ii) investigate the spatial behavior and relationships between TC and ecological landscape variables which aggregate various hydrologic and biotic processes. The study was conducted in Florida, USA, characterized by extreme hydrologic (poorly to excessively drained soils), and vegetation/land use gradients ranging from natural uplands and wetlands to intensively managed forest, agricultural, and urban systems. We used semivariogram and landscape indices to compare the spatial dependence structures of TC and 19 ecological landscape variables, identifying similarities and establishing pattern?process relationships. Soil, hydrologic, and biotic ecological variables mirrored the spatial behavior of TC at fine (few kilometers), and coarse (hundreds of kilometers) spatial scales. Specifically, soil available water capacity resembled the spatial dependence structure of TC at escalating scales, supporting a multi-scale soil hydrology- soil C process?pattern relationship in Florida. Our findings suggest two appropriate scales to observe TC, one at a short range (autocorrelation range of 5.6 km), representing local soil-landscape variation, and another at a longer range (119 km), accounting for regional variation. Moreover, our results provide further guidance to measure ecological variables influencing C dynamics. aspatial variation aScale Variogram aSoil carbon aSpatial autocorrelation1 aGRUNWALD, S.1 aMYERS, D. B. tLandscape Ecologygv. 27, p. 355-367, 2012.