When predicting changes in plant populations, spatial interactions must be considered. Cellular automata are models incorporating both spatial and temporal dynamics. Vegetation data were sampled on a meadow over three years using the point-quadrat method and population dynamics of three single species were modeled with a cellular automaton using stochastic decision rules. Links with the theory ...

Accurate monitoring of land surface dynamics using remote sensing is essential for the synoptic assessment of environmental change. We assessed a Medium Resolution Imaging Spectrometer (MERIS) full resolution dataset for vegetation monitoring as an alternative to the more commonly used Moderate-Resolution Imaging Spectroradiometer (MODIS) data. Time series of vegetation indices calculated from ...

[1] The goal of this study is to understand the interaction between belowground and aboveground ecohydrologic dynamics as facilitated by hydraulic redistribution. We analyze the partitioning of moisture and energy between tall and understory vegetation, and soil evaporation. Both the competitive and facilitative dependencies are examined using a shared resource model where the soil serves as a ...