Fig 1.
Site locations plotted over a rainfall map of South Australia.
Fig 2.
Principal coordinates analysis of management data.
Influence of grazing days, stocking rate and rest periods are given in grey vectors. PC1 explained 55.4% of the variance and PC2 explained an additional 28.2%. Clusters are shown in black to indicate most similar groupings.
Fig 3.
Trend of increasing log response ratio between NDVI of rotationally grazed versus continuously grazed paired paddocks (LRRNDVI) with time since conversion of management.
Only the first 9 years since conversion were included because only 5 sites were under rotational management for longer than that time. Error bars represent 1 standard error.
Table 1.
Selected soil organic matter properties summarized by grazing management category (mean ± 1 s.e.m. presented).
For properties with significant differences amongst grazing management categories (rotational and continuous grazing), pairs that differ from each other are given with different letters.
Fig 4.
Relationship between mean annual rainfall and SOCeq for rotationally and continuously grazed paired sites.
Table 2.
Pearson’s correlation coefficients between potential SOC covariates and SOCeq stocks (n = 27 for climatic and topographic variables, n = 23 for NDVI and management variables) and LRRSOC (n = 12).
Fig 5.
Log response ratio of SOCeq (LRRSOC) between pairs plotted against years under rotational management (A), principal coordinate axis 1 and 2 (B & C), and the Euclidean distance between management pairs (D).
Linear trends with Pearson correlation coefficients given on each plot expect in (A) where the mean LRRSOC and 95% confidence intervals are plotted.