Rangeland Ecology & Management

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TESTING RANGELAND HEALTH THEORY IN THE NORTHERN GREAT PLAINS
Author
Reinhart, Kurt O.
Rinella, Matthew J.
Vermeire, Lance T.
Publisher
Society for Range Management
Publication Year
2018
Body

Correctly assessing whether rangeland ecosystem services are stable, improving, or degrading is of local to global importance.� In the USA, several plant and soil properties are measured as part of a standardized system for assessing rangeland health.� Here a series of field experiments were used to test the reliability of a primary putative indicator (i.e. soil aggregate stability) of rangeland management and ecosystem function in the Northern Great Plains.� First, we tested whether livestock grazing pressure consistently reduced soil aggregate stability.� Second, we tested whether appreciable variation in soil water transport (infiltration) was explained by aggregate stability.� Data from a multi-factor field experiment was used to determine the best predictor(s) of infiltration and contributed to a meta-analysis that tested the generality of the expected positive aggregate-infiltration association.� In one of two field experiments, livestock grazing pressure tended to reduce the stability of small (easily erodible fraction) macroaggregates (0.25-1 mm).� In the other experiment and for larger macroaggregates (1-2 mm), grazing had no appreciable impact on aggregate stability.� The multi-factor field experiment affected several plant and soil properties.� Multiple regression analyses of these data determined that variation in infiltration was best explained by plant community composition variables but not soil properties.� With a meta-analysis of these and other data from the Northern Great Plains, we found no general aggregate-infiltration association.� Our findings counter prevailing scientific and management expectations on the functioning of key soil health indicators but support plant species-infiltration linkages consistent with bioturbation theory.� Designing rangeland health monitoring systems with empirically validated predictors of ecosystem function is a logical next step towards better health assessment.

Language
English
Resource Type
Text
Document Type
Conference Proceedings
Conference Name
SRM Reno, NV