2.1 Study Area
This cross-sectional, longitudinal study was conducted across 138 grazing allotments on 16 USFS managed national forests (Fig. 2) to examine relationships between meadow scale plant community changes and allotment scale environmental conditions and livestock grazing pressure. Each allotment contains at least one long-term (i.e., more than 8 years) meadow plant community monitoring site, with a total 279 sites across the 138 allotments. All plant community monitoring sites were located within riparian meadows fed by a mix of defined stream channels, diffuse overland flow, and emergence of shallow groundwater. The 138 allotments range in elevation from 972 to 3257 m and in area from 12 to 311 km2 (Table 1). The majority of precipitation occurs in winter as snow.
Table 1 Summary of topographic, livestock grazing, and precipitation characteristics for sites at the allotment scale
From the 138 allotments, a subset of 34 representative grazed allotments (six national forests) were selected to examine relationships between meadow scale plant community changes and meadow scale environmental conditions and livestock grazing pressure (subset of 52 sites – Fig. 2). The subset sites were chosen as a stratified sample from the allotment scale sites to ensure representation of highly variable meadow types. This subset of 52 sites ranges in elevation from 1372 to 2490 m (Table 2). All 138 allotments are located in mountainous watersheds composed of xeric to mesic forests, with meadows and riparian corridors covering <5% of the landscape (US Forest Service 2016). Meadow plant communities are dominated by perennial grasses and grass-like species. Common species include Carex nebrascensis Dewey, Juncus arcticus Willd. subsp. littoralis (Engelm.) Hultén, and Symphyotrichum spathulatum (Lindl.) G.L. Nesom var. spathulatum.
Table 2 Summary of topographic, livestock grazing, and precipitation characteristics for sites at the meadow scale
2.2 Grazing Management and Riparian Grazing Standards
During the study period (1997–2015), 100 of the 138 study allotments were grazed by beef cattle, 22 by sheep, and 16 allotments received little to no livestock grazing pressure (average annual allotment stocking rates between 0 and 5 animal unit months/km2). An animal unit month (AUM) is the dry weight mass of forage required to sustain one 450 kg cow for a 30-day period (360 kg). Grazing seasons and stocking rates in USFS managed grazing allotments vary depend upon elevation and local climate. Most grazing occurred from May/June through August/September, but some grazing seasons began as early as February and ended as late as December. Across all 138 allotments used for allotment scale analysis, average annual allotment stocking rates ranged from 0 to 36 AUM/km2 (Table 1). Stocking rates for the subset of 34 allotments used for meadow scale analysis were comparable to the full study set (Tables 1 and 2).
All grazing occurred under permits administered by the USFS, with riparian grazing standards established for meadow conservation. Specifically, three or more of the following riparian grazing standards have been in place on each grazed allotment since the initiation of plant community monitoring in 1997: (1) limits on herbaceous vegetation biomass consumption (e.g.,<40% of annual production); (2) minimum allowable residual herbaceous vegetation height (e.g.,>10 cm); (3) limits on browsing of recruiting riparian woody species (e.g.,<20% of annual leader growth); and (4) limits on livestock hoof damage to soil and streambanks (e.g.,<10% soil shearing by hooves) (Clary 1999; Clary and Leininger 2000; Clary and Webster 1990; Hall and Bryant 1995). The specific grazing management practices used in each allotment varied depending on site characteristics, but the riparian grazing standards were used as action triggers for grazing management at all study sites (US Forest Service 2004).
2.3 Data Collection
2.3.1 Plant community metrics
Herbaceous plant community monitoring sites were established between 1997 and 2005 at 279 riparian meadows. At each site, three parallel transects, 20 m long and 5 m apart, were established and permanently marked. Twenty 0.01 m2 quadrats were positioned at 1 m intervals along each transect (60 total quadrats per site) during monitoring. Plant community composition data were collected by rooted species frequency methodology (Bonham 1989) at all sites approximately every 5 years between 1997 and 2013. At time of analysis, study monitoring plots had 2–7 readings (median = 3 readings), spanning 8 and 16 years of data collection (median = 10 years).
Rooted frequency data were used to calculate number of plant species (richness; S), Shannon Diversity Index (H′); and relative frequencies of forbs, non-native species, wetland obligate species, and upland species for each site and reading. S and H′ were calculated using the vegan package (Oksanen et al. 2016) in the R statistical program (R Core Team 2015). Changes over time in plant community metrics were calculated as the difference between the first and last (i.e., most recent) readings for each monitoring plot (henceforth indicated as ∆). The first and last readings vary between plots depending on when they were established and how often they are monitored.
2.3.2 Livestock grazing pressure–allotment scale
Livestock grazing pressure was calculated at the allotment scale as the cumulative annual stocking pressure (AUMs/km2) during the plant community monitoring period (10 years preceding the most recent reading) of each site. The year of the most recent reading (i.e., year 10) ranged from 2007 to 2013. An animal unit month (AUM) is the standard metric of grazing pressure for USFS managed grazing allotments. The cumulative stocking rate (10-year cumulative AUMs/km2) represents the full livestock grazing pressure on the allotment over the plant community monitoring period standardized by allotment area (km2). Annual authorized allotment stocking rates were compiled from USFS records.
2.3.3 Livestock grazing pressure–meadow scale
Because stocking rates are only assigned by the USFS at the allotment scale, meadow scale livestock grazing pressure was measured as livestock fecal density (pats/ha). Fecal density was measured at each of 52 plant community monitoring sites during the 2015 grazing season. Fecal density was measured at the end of the grazing season by counting all distinct fecal pats within three 20 m2 belt transects (1.3 × 15.2 m) located on the plant community monitoring plots. Because livestock fecal pats persist up to 5–10 years in these sites, fecal density represents meadow scale cumulative livestock grazing pressure (Roche et al. 2012).
2.3.4 Environmental conditions–allotment scale
Relative precipitation was calculated as the mean percent of the 30-year normal precipitation (1981–2010; mm) allotments received annually (PRISM Climate Group 2015) during the monitoring period for each site within the allotment. First, both 30-year normal precipitation and total annual precipitation amounts were calculated for each allotment as the average of available values across the allotment area using gridded data from the PRISM Climate Group (PRISM Climate Group 2015). The PRISM Climate Group model uses weather station data (weighted by distance) and local geographical factors (e.g., elevation and aspect) to calculate a climate-elevation model for each 800 m grid cell (see Daly et al. 2008 for full description of PRISM methods). The 10-year mean total annual precipitation was calculated for the 10 years preceding the most recent reading for each plot within the allotment. The year of the most recent reading (i.e., year 10) ranged from 2007 to 2013. Then, using allotment 30-year normal total annual precipitation values, relative precipitation was calculated as
$${\rm{Relative}}\,{\rm{precipitation = }}\left({\frac{{10\hbox{-}{\rm{ year}}\,{\rm{mean}}\,{\rm{total}}\,{\rm{annual}}\,{\rm{precipitation}}}}{{30\hbox{-}{\rm{year}}\,{\rm{normal}}\,{\rm{total}}\,{\rm{annual}}\,{\rm{precipitation}}}}} \right) \times 100$$
Therefore, relative precipitation values below 100% indicate the 10-year period was drier than average for the respective allotments.
2.3.5 Environmental conditions–meadow scale
During the 2015 grazing season, site wetness was also recorded for the subset of 52 plant community monitoring sites. Site wetness was rated on a scale of 1–5, where 1 is the driest site and 5 is the wettest site (Roche et al. 2012; Roche et al. 2014) observed in this study. Plant community, soil characteristics, and hydrologic characteristics observed during data collection were all used to determine the site wetness rank for each site. For example, a site dominated by wetland obligate species on organic soils and visible standing water at the end of the grazing season would represent a 5 rank. A relatively drier grass/forb-dominated site on mineral soils would represent a 1 rank. Meadow scale relative precipitation was calculated following the methods outlined for allotment scale (Section 2.3.4) (PRISM Climate Group 2015). Meadow scale 30-year normal precipitation and total annual precipitation amounts were queried from the PRISM Climate Group (PRISM Climate Group 2015) for a single geographic point—the coordinates of the plant community monitoring site within each meadow—using the raster package (Hijmans 2015) in the R statistical program (R Core Team 2015).
2.4 Statistical Analysis
2.4.1 Allotment scale
Linear regression analysis was used to test for associations between changes (∆) in plant community metrics at each monitoring site, and allotment scale livestock grazing pressure and environmental conditions during the study period (279 sites across 138 grazing allotments). Backward step-wise selection was used to determine final models, with p < 0.1 (using a Bonferroni correction of <0.016 to account for six analyses) required for significance. The Bonferroni correction protects against Type I error when multiple comparisons are made by setting a lower threshold for significance. Allotment scale relationships with p < 0.016 are reported as “statistically significant”, while relationships with p < 0.1 are reported as “apparent”. Initial full model independent variables were: allotment elevation (m), relative precipitation, cumulative stocking rate (AUM/km2), and the cumulative stocking rate by relative precipitation interaction term. Individual models were analyzed for six plant community response metrics (dependent variables): ∆S; ∆H′; and ∆ relative frequency (%) of forbs, non-native species, wetland obligate species, and upland species. Regression analyses were conducted using the R statistical program (R Core Team 2015), and standard diagnostics were used to confirm that assumptions were met.
2.4.2 Meadow scale
Meadow scale analyses were conducted on a subset of 52 monitoring sites located across 34 grazing allotments (Fig. 2). In addition to the six meadow scale plant community change metrics described in Section 2.3.1, changes in overall meadow plant community composition during the study period were estimated via non-metric multidimensional scaling (NMDS) using a Euclidean distance matrix. Solutions were tested for 1 through 7 dimensions and a plot of final stress vs. number of dimensions was used to determine the optimal number of dimensions (McCune and Grace 2002). Composition was quantified using NMDS scores from the first dimension of the Euclidean distance matrix (the dimension that explains the most variation in the data) and changes in composition were calculated as the difference between the first and last years for each monitoring plot. NMDS analysis was completed using the metaMDS function in the vegan package (Oksanen et al. 2016) in the R statistical program (R Core Team 2015). Permutational multivariate analysis of variance (perMANOVA) with a Euclidean distance matrix was used to test for shifts in overall plant community composition between first and last years. This analysis was conducted using the adonis function in the vegan package of the R statistical program (Oksanen et al. 2016; R Core Team 2015).
Linear regression analysis was used to test for associations between changes (∆) in plant community metrics at each monitoring site, and meadow (site) scale livestock grazing pressure and environmental conditions during the study period (52 sites within 34 grazing allotments). Backward step-wise selection was used to determine final models, with p < 0.1 (using a Bonferroni correction of < 0.014 to account for seven analyses) required for significance. Meadow scale relationships with p < 0.014 are reported as statistically significant, while relationships with p < 0.1 are reported as apparent. Initial full model independent variables were: meadow elevation (m), relative precipitation, wetness ranking, fecal density (pats/ha), and the fecal density by relative precipitation interaction term. Individual final models were analyzed for seven plant community response metrics (dependent variables): ∆S; ∆H′; ∆ species composition (calculated from NMDS scores of first and last reading years); and ∆ relative frequency (%) of forbs, non-native species, wetland obligate species, and upland species. Regression analyses were conducted using the R statistical program (R Core Team 2015), and standard diagnostics were used to check conformity with assumptions.