Temporal changes in spatial patterns of soil moisture following disturbance: an experimental approach


Pu Mou, Department of Biology, 235 Eberhart Building, University of North Carolina-Greensboro, Greensboro, NC 27402–6174, USA (tel. 1 336 356 1072 and 1 336 256 1074; fax 1 336-334 5839; e-mail ppmou@uncg.edu).


1 We quantified changes in spatial heterogeneity of soil moisture over 2.5 years in a Pinus elliottii Engelm. forest, following disturbance and succession. We harvested or girdled upper canopy trees and measured three components of heterogeneity – global (non-spatial) variability, spatial dependence and temporal persistence – in replicate plots, using sample points arrayed at a fine scale (0.5–6 m) nested within a coarser scale (5–60 m).

2 Global variability increased after disturbance and then declined, eventually returning to the level recorded in an undisturbed plot. Harvesting resulted in greater, more rapid and more prolonged changes in global variability than girdling.

3 Geostatistical parameters for measuring spatial dependence were largely unaffected by disturbance. Spatial dependence was, however, quite variable across replicate plots and was stronger at the finer sampling scale.

4 Spearman rank correlations showed that the spatial pattern of soil moisture had greater long-term persistence in the undisturbed and girdled plots than in the harvested plots.

5 Some elements of spatial heterogeneity appear to vary over time in a predictable manner. Detection of temporal trends may be improved if multiple components of heterogeneity are quantified, more than one scale of observation is used, replicate plots are employed and sole reliance on geostatistics is avoided.