Multivariate evaluation of watershed health based on longitudinal pasture management

Abstract

Watershed and pasture health is a transdisciplinary concern and crucial to promoting sustainable practices. The aim of this study is to identify effective systems-level conservation pasture management practices in a longitudinal study following 14 years of consistent management by i) teasing apart complex relationships between multivariate water and soil quality using principal component analysis (PCA); and ii) identifying interactions among variables that contribute most to watershed health within catchments using partial least squares-path modeling (PLS-PM) based on five treatments: hayed (H), continuously grazed (CG), rotationally grazed (R), rotationally grazed with an unfertilized buffer strip (RB), and rotationally grazed with an unfertilized fenced riparian buffer (RBR). Over 14 years, H and RBR systems had greater watershed health based on runoff water quality parameters. Therefore, management systems that keep forage heights >10-cm, have less frequent vegetative removal, and riparian filter strips promote watershed health. Of the over 20 runoff variables measured over 14 study years, only electrical conductivity and annual total suspended solid loads constructed a significant water quality PLS-PM model. Water quality was positively influenced by pasture management and precipitation, with long-term pasture management driving runoff parameters and water quality. Overall, animal grazing days was not only related to grazing intensity, but to animal manure inputs and soil compaction, and adversely related to watershed health. Study results denote that best management strategies such as rotational grazing and riparian buffer strips prevent pasture system degradation and maintain carrying capacity while reducing anthropogenic pressure on soil and water systems.