Effects of adaptive multiple paddock and continuous grazing on fine-scale spatial patterns of vegetation species and biomass in commercial ranches

Context In rangelands, alterations to vegetation from grazing have potentially significant consequences for a wide variety of ecosystem structure and function. Objectives This study measured the herbivory effects of adaptive multi-paddock grazing (AMP) and continuous grazing (CG) practices on spatial patterns of vegetation, plant community species composition, and productivity in neighboring ranches in Mississippi, USA. Methods Assessments included on ground-measurements and remote sensing analyses using fine-scale aerial photographs and satellite images. Results The results indicated that the spatial patterns of the classified seven vegetation species groups and biomass production were different between AMP and CG. Bahiagrass dominated the plant species in both ranches, with similar to 83% and 58% of the CG and AMP ranch vegetation cover. The AMP ranch landscape was fragmented, more diverse at a fine spatial scale, and consisted of smaller, more similar patch sizes for all seven species. A patchy mosaic of all the species was found, but no species were abundant adequately to interconnect throughout the entire landscape. In contrast, patch sizes on the CG ranch were more aggregated, with one dominant species clumped into larger compact patches. Vegetation production in the AMP ranch was higher and clustered into large patches: Hot and Cold Spots with an apparent spatial trend and configuration. In contrast, in the CG ranch, relatively smaller Spots were interspersed with no apparent spatial trend. Conclusions The findings imply a potential change in the landscape pattern of grazing land in the Southern U.S. associated with adoption of AMP grazing.

Automated summary

The study compared the effects of adaptive multi-paddock grazing (AMP) and continuous grazing (CG) on vegetation in neighboring ranches in Mississippi, USA. Results showed that AMP had higher vegetation production and larger clustered distribution patterns, while CG had more aggregated distribution patterns.