Empirical studies of risk-induced overgrazing have been rarely reported in northern China grasslands, thus, the risk indicators that act as proximate drivers of herders stocking rate (SR) are poorly understood. This paper investigates the impact of the Chinese Grassland Eco-compensation Reward and Subsidy Policy implementation (2011–2015) in Inner Mongolia on overgrazing as a consequence of SR. We used a linear mixed-effects model to develop the relationship between SR and designated risk indicators. The best-fit models obtained were used to evaluate the role of each indicator on the tendency of herdsmen to overgraze grasslands. The major drivers of SR identified prior to the policy implementation are the area of grassland owned, living expenses, and the area of grassland rent-out. Subsequent to the policy implementation, the area of grassland owned and the area of grassland rent-in emerged as the principal factors that induce herders to use high SR on grassland, indicating the persistence of overgrazing. Our most promising finding was that the policy eliminated living expenses from the factors that compel herdsmen to use high SR on grassland. This represents a significant positive impact on herders' welfare, which is one of the objectives of the subsidy and reward policy. Therefore, to sustain the success recorded in the first phase of the policy implementation, we advocate for an improved grassland rental market that will encourage livelihood diversification, better funding, herdsmen cooperation, consideration of local ecological condition and herders' perspective in policy design, and consistent education of herders' about the merits of reducing SR on grasslands. To achieve the desired target of reducing overgrazing, we recommend an independent process of policy inspection that will strengthen effective bottom-up feedback and village level governance.

Summer droughts in North America's northern Great Plains are expected to increase in frequency and duration as precipitation shifts toward spring and fall. Two rangeland experimental stations in North Dakota experienced drought in 2017 relative to 25-year averages. The southwest location had a 170-mm deficit from the 360-mm normal rainfall and was grazed by cattle (Bos taurus L.) and sheep (Ovis aries L.); the south-central location had 109 mm below the 403-mm normal rainfall and was grazed by cattle. We evaluated patch-burn grazing as a drought resilient land management strategy in the northern Great Plains by comparing average daily gains, fecal density, available forage biomass, and forage crude protein content. At the southwest location, livestock performed better during the drought season compared with animals on the same pastures in the previous year, which had near-normal rainfall but no fire. At the central location, cows on patch-burned pastures performed better than cows on continuously-grazed, unburned pastures in the same year under drought conditions; all cows were nursing calves and calf gains did not vary between treatments. In both locations, the burned patches had higher fecal density and lower available forage biomass than patches not yet burned throughout the grazing season, indicating grazer attraction to burned areas. Despite drought, burned patches maintained grazer attraction and animal performance was maintained or even improved, which contrasts with the expected relationship between animal performance and precipitation. This study indicated that prescribed patch-burning might mitigate drought by buffering forage resources (crude protein content and availability) and maintaining animal performance (average daily gains).

The ability of large herbivores to increase primary production in many grassland ecosystems has been linked to their stimulation of plant available soil nitrogen (N) and enrichment in shoot N content. However, herbivores have additional effects on the structure of grassland vegetation that may also impact the efficiency that plants use shoot N to produce biomass per unit time (i. e., nitrogen production, NP). Knowledge of any effect that herbivores have on NP will provide a better understanding of how herbivores can mechanistically feedback on grassland processes. The influence of herbivores on NP was examined by comparing plant production and shoot N content inside and outside exclosures at ten grasslands in Yellowstone National Park (YNP), an N–limited ecosystem, where animals previously have been shown to increase soil N availability, shoot N content, and plant production. NP was measured aboveground (NP_A, g shoot growth g shoot N^–1 day^–1), belowground (NP_B, g belowground growth g shoot N^–1 day^–1), and at the whole grassland level (NP_W, g whole plant growth g shoot N^–1 day^–1). The study was conducted over a three-year period (1999–2001) during which precipitation varied markedly. Grazers increased annual NP_A, NP_B and NP_W by 32%, 55%, and 48%, respectively, in 1999, an average to wetter than average year across the widely distributed sites. Herbivores had no effect on NP measures during 2000 and 2001, two drought years. These findings revealed that grazer facilitation of grassland production in YNP was at least partially due to a previously unrecognized enhancement of NP by herbivores, which was likely dependent on moisture conditions.

Large mammal grazing is considered an important biological process that structures many grassland plant communities. While herbivorous arthropods are also important consumers in terrestrial systems, their interaction with large mammal grazing is poorly studied. We performed a field experiment in a tallgrass prairie manipulating arthropod abundance in both bison-grazed and ungrazed areas following a prescribed burn and monitored the plant community for 15 mo. Total plant biomass was unchanged by the end of the experiment, but individual biomass of forbs and grasses was altered by our manipulations. Forb biomass in the bison-grazed/arthropod-reduced plots was two to three times higher than other treatments, while grass biomass was higher in bison-grazed plots where arthropods were unmanipulated. Grass and forb richness showed smaller responses, with a significant difference only in ungrazed areas. Our results suggest that bison grazing and arthropod herbivory work in a complementary way; bison reduce grass biomass, allowing forbs to increase, while herbivorous arthropods reduce forb biomass, allowing grasses to increase. Our study showed that removing herbivorous arthropods may have lengthened the transition from forb to grass dominance, therefore delaying the return of conditions conducive to future disturbance by fire. Therefore, we argue that arthropod herbivory, interacting with large mammal grazing, is an additional important process affecting the plant community composition and disturbance patterns in tallgrass prairies and should be investigated further in additional grassland systems.

Biocrusts play an important role in the carbon cycle in arid and semiarid ecosystems. Activities such as livestock grazing can disturb ecosystem functions of biocrusts. However, it is unclear whether disturbance intensity impacts carbon emission from these biocrusts. Few studies have investigated the transformation of carbon within biocrusts after disturbance. Here, we conducted a field experiment on the Loess Plateau, China, in which we artificially simulated different intensities of trampling to examine the response of biocrust carbon emissions to disturbance. Our results demonstrate that disturbance significantly reduced biocrust coverage. The largest decreases were observed in the second through fourth intensity, which declined significantly by 12.6–17.1%. Disturbance decreased soil organic carbon content in the biocrust layer by 2.6 g kg^–1–3.7 g kg^–1 depending on the disturbance intensity. Disturbance significantly increased the soil easily oxidizable carbon (SEOC) content in the biocrust layer. The soil microbial biomass carbon (SMBC) content of the fifth intensity increased significantly by 70.3%. The soil mineralizable carbon (SMC) content of the fourth intensity increased significantly by 78.8%. Soil carbon emissions increased significantly with increasing disturbance intensity, were higher at night than during the day, and were higher in the summer than in the fall. Together, these findings indicate that the increase of carbon emission was mainly due to increases in SEOC and SMC. Trampling disturbance increases carbon emissions from biocrust soils. These losses of CO₂ from biocrust soils after disturbance may substantially reduce the biocrust contribution to the soil carbon budget.

Grassland bird populations are declining faster than any other avian guild in North America, and promotion of favorable habitat conditions in rangeland breeding cores is important for their maintenance. There is much information on associations between breeding grassland songbirds and vegetation attributes. However, previous results have been difficult to translate into management practices due to mismatch between the scale and metrics used in biological sampling and those used in management. Here, we evaluate the response of imperiled grassland bird species to vegetation conditions using metrics and scales accessible to managers. We focus on four species that are experiencing particularly severe population declines: Baird's sparrow (Centronyx bairdii), chestnut-collared longspur (Calcarius ornatus), McCown's longspur (Rynchophanes mccownii), and Sprague's pipit (Anthus spragueii). In 2017 and 2018, we evaluated the abundances of these species within their core distributions in northern Montana. We used temporally replicated point-counts and hierarchical models to estimate abundance and associations with plot-level (9-ha) vegetation conditions while accounting for spatially and temporally variable detectability. Exotic grass encroachment and shrub cover had negative or neutral effects on all species. Birds responded strongly to biomass at this scale, with chestnut-collared longspurs and Sprague's pipit preferring a range of 1 100 kg ha^–1 to 1 400 kg ha^–1, and McCown's longspurs selecting for the lowest available. Residual grass and litter cover were important for Baird's sparrows. Variable results among species emphasize the need for heterogeneity in vegetation structure and composition at scales larger than the plot. Our results provide guidance for managers interested in improving habitat for these species.

Plateau zokor (Myospalax fontanierii) is a native subterranean rodent in alpine rangeland on Qinghai-Tibet Plateau (QTP) in China, and its foraging, digging, and mounds building cause the unique disturbance pattern to alpine rangeland ecosystem. Over the past decades, the zokors have been regarded as major pests who result in the degradation of the rangeland ecosystem in the QTP and have been simply eliminated by rodenticides or traps. Understanding the function of zokors and evaluating the zokors' impacts on alpine rangeland systems should be the solid scientific basis for zokor control. In this study, we considered the average nearest neighbor indices of zokor mounds to represent the disturbance intensity of zokor to alpine rangeland and surveyed the plant species richness, diversity indices, biomass, and soil physicochemical properties in intermound areas under different zokor disturbance intensities in alpine rangeland in Tianzhu Tibet Autonomous County, located in eastern QTP. Our results indicated that 1) the plant species diversity indices were positively correlated with zokor disturbance intensity and aboveground and belowground biomasses were not significantly different under the different disturbance intensities; 2) the importance value of the forb functional group increased as the disturbance intensities increased, and the sedge functional group showed the opposite trend. The proportions of aboveground and belowground biomasses of forbs increased as the disturbance level increased; 3) there were no changes in the dominant plant species among the different disturbance intensities, but new plant species (Polygonum viviparum and Equisetum arvense) occurred in the plots with high disturbance intensities; 4) a significant positive correlation was observed between soil moisture in the 0-20 cm layer and disturbance intensity, while soil temperature exhibited a significantly negative relationship with the disturbance intensity; however, no differences in soil chemical properties were observed; and 5) redundancy analysis identified that mound building changed soil physical properties, especially soil moisture, in intermound areas, which influenced the plant community structure. In conclusion, the plateau zokor in our study area increased plant species diversity and did not decrease plant biomass, which is beneficial for alpine rangeland systems. We suggest that rangeland managers should consider the multiple functions of zokors to an alpine rangeland ecosystem instead of simply eliminating them.

Management of livestock grazing in riparian areas is an important aspect of rangeland management. Willows (Salix spp.) are a common riparian plant serving as an ecosystem stabilizer, as well as providing important habitat, but browsing or trampling by cattle can decrease willow canopy volume. Canopy volume can be measured on the ground with hours of meticulous data collection. However, canopy volume estimates from drone-collected images could be a more efficient and objective method for measuring willow canopy volume and understanding the impact of livestock use on riparian woody vegetation. Our objective was to determine how well drone-based measurements of willow canopy volume corresponded to field measurements in a southern Idaho riparian area before and after a grazing trial. We used sets of overlapping aerial images from a DJI Phantom 4 Professional drone to construct 3-dimensional point clouds of willows. From these point clouds we estimated willow canopy volume using 2 techniques and compared those with canopy volume estimates from field measurements of 58 willows ranging in height from 0.76 m to 4.57 m. Point cloud canopy volume estimates using both techniques showed high correspondence with field-estimated volume (R²> 0.8) for both pregrazing and postgrazing. However, point cloud techniques generally underestimated canopy volume compared with the field technique. Drone-based estimates took ≈4 h per sampling event (i.e., pregrazing, postgrazing) including acquiring and processing the imagery, whereas field-based measurements took ≈10 h per sampling event. These results demonstrate drone-collected images may be an effective tool for measuring and monitoring riparian woody vegetation.

Medusahead is an aggressive, winter annual that is of dire concern for the health and sustainability of western rangelands in the United States. Medusahead reduces plant diversity, alters ecosystem function, and reduces carrying capacities for both livestock and wildlife. The species has competitive advantages over cheatgrass and native grasses that causes an increased amount of fine fuels deposited on western rangelands. The Channeled Scablands of eastern Washington in the United States represent a typical example of a region being challenged by the expansion of this weed. The costs of the invasion are high and financial constraints can limit successful management. Managers need the ability to identify medusahead across entire landscapes, so they can work towards effective and efficient management approaches. Remote sensing offers the ability to measure vegetation cover at large spatial scales, which can lead to a better understanding of the invasive characteristics of problematic species like medusahead. For instance, research has been successful in creating large-scale distribution maps of cheatgrass over western rangelands. Many applications rely on the phenological characteristics of a target plant which can present problems in separating two species with similar phenologies (i.e. cheatgrass & medusahead). A medusahead-specific map gives managers the flexibility to prioritize and direct management needs when attempting to control the spread of medusahead into non-invaded areas. This study integrated GPS acquired field locations from three study sites (Sites S, C, & N) and imagery from two remote sensing platforms (1-m aerial imagery & 30-m Landsat), to model and predict fractional cover of medusahead over 37,000+ ha of rangelands in the Channeled Scabland region of eastern Washington. Using a multi-scaled approach, this research showed that regression tree algorithms can model the complex spectral response of senesced medusahead using late summer Landsat scenes. The predictive performances resulted in a R² of 0.80 near the model's training site (Site S) and an average R² of 0.68 away from the training site (Sites C & N). This research provides a non-phenological approach to produce accurate large-scale, distribution maps of medusahead which can aid land managers who are challenged by its invasion.

The rapid increase of Poa pratensis L. (Kentucky bluegrass) on North Dakota grasslands during the past 30 yr has negatively impacted ecological services. Kentucky bluegrass grows earlier in the spring than many native grasses, which provides an opportunity to use targeted grazing to reduce Kentucky bluegrass and increase native grasses. A 5 year replicated study used 10 cow-calf pairs or pregnant cows to graze 3-ha paddocks in early to mid-May, early spring, (EARLY) until 30% of the native species were grazed. After 1 June, late spring–early summer, five cow-calf pairs were grazed on 3-ha paddocks (LATE) for twice as long as the EARLY treatment. Biomass was clipped inside and outside of cages after each grazing event and outside cages in the fall. In each paddock, a hundred 10-point frames were taken to determine percent native grass, Kentucky bluegrass, Bromus inermis Leyss. (smooth bromegrass), native forbs, and introduced forbs. After 5 yr, native grass abundance in the EARLY paddocks was 26% greater than in the LATE paddocks. Kentucky bluegrass abundance only differed the second year of the study when the EARLY paddocks had 32% less Kentucky bluegrass than the LATE paddocks. Total biomass was greater in the EARLY paddocks than LATE paddocks in year 2 of the study (886 ± 74 g m^–2 vs. 608 ± 28 g m^–2 for EARLY and LATE, respectively). Targeted grazing by cattle in early spring can increase native grass abundance and, depending on the year, decrease abundance of Kentucky bluegrass. Early spring targeted grazing should be used as a tool in adaptive management programs focusing on reduction of Kentucky bluegrass.

Sub-Antarctic rangelands are characterized by weather seasonality and abundant winter snowfall. These climate factors determine most livestock management decisions. Nonetheless, data on these weather patterns are only available for some areas of the region, and management is entirely empirically-derived. The aim of this study was twofold: to compile spatial and temporal environmental information of rangelands in the Magallanes Region of Chile by using satellite images and to provide an example for local purposes through a simple evaluation of current grazing systems of four ranches in central Tierra del Fuego using satellite-derived image products and a known thermal comfort zone for sheep. To determine the environmental conditions of the region, we processed a 12-year (2000–2011) series of three MODIS-Terra platform products: Normalized Difference Vegetation Index (NDVI) as an index of photosynthetic activity, snow cover index, and Land Surface Temperature (LST). Results indicate that data obtained from satellite images follow the known seasonality of the region and deliver spatial and temporal environmental information (e.g., temperature at large scale) for most ranching areas of the region where it was formerly unavailable. The determined grazing period of analyzed ranches for winter range was May 8 to September 29. These tools show promise to encourage management innovation from simple applications to combine platforms and models for forage monitoring and ranch management in Sub-Antarctic rangelands.

Mapping large-scale spatial patterns of grassland community properties in the Inner Mongolia Autonomous Region of China and learning how they are affected by environmental factors are vital to understand grassland changes in response to climate change and human activity. We collected data on six grassland community properties across 198 sample plots in the Inner Mongolia Autonomous Region: height, coverage, aboveground biomass (AGB), belowground biomass (BGB), soil bulk density (SBD), and species number (SN). We then analyzed the relationship between these and a range of environmental factors, including elevation, mean annual temperature (MAT), mean annual precipitation (MAP), ≥ 10 C annual accumulated temperature, humidity index, and normalized difference vegetation index (NDVI), using correlation and regression analysis. On the basis of the regression equation, we undertook a multifactor model using ArcGIS, in which different weights were assigned to each factor according to the degree of fitness between the estimated results and measured data. We then mapped the spatial distribution of grassland community properties in Inner Mongolia. We found a significant correlation between all of the grassland community properties and environmental factors measured (P < 0.01). In terms of spatial patterns, SN, height, coverage, AGB, and BGB were positively correlated with the transition from desert grassland to meadow grassland. The community properties model provided good results, with average accuracies of 53.05—90.21% and R² values of 0.40—0.68 (P < 0.01) across the six grassland community properties. The multifactor comprehensive model provides significant correlation between the predicted results and measured data. Therefore, this could be used as a basis for future studies on Inner Mongolia grasslands and to understand temporal and spatial changes of grassland in response to human activity and climate change.

This publication is the result of concerns expressed regarding the definition and subsequent use of ground cover in rangeland monitoring. We reviewed 20 monitoring publications. All publications reviewed contained a definition of ground cover and/or direction on how to monitor ground cover. The majority of these publications also defined bare ground. In all cases, bare ground was defined as the opposite of ground cover.

We identified critical criteria of ground cover based on the role it plays in soil conservation as it relates to water and wind erosion. Critical criteria identified included standing and nonstanding live vegetation, standing and nonstanding dead vegetation including litter, and rock. We compared these critical criteria to the 20 monitoring publications reviewed. We found 19 of these publications included the criteria standing live vegetation or similar words and standing dead vegetation or similar words in their definition and/or use of ground cover. The one source where standing live or dead vegetation or similar words were not included was “Indicators of Rangeland Health and Functionality in the Intermountain West.” This publication was produced by the US Department of Agriculture, Forest Service, Rocky Mountain Research Station. Ground cover was limited to basal vegetation, litter, moss/lichen, or rock. We also found inconsistencies in the definition and subsequent use of ground cover in Forest Service Handbook 2209.21—Rangeland Ecosystem Analysis and Monitoring Handbook, Intermountain Region.

We contend a large volume of literature supports the inclusion of critical criteria as identified in this report as ground cover. These criteria are essential components contributing to resistance of water and wind erosion important to soil conservation. This review demonstrates the importance of accurately defining and subsequently including critical criteria in rangeland attributes including ground cover. This paper addresses standardizing terms and calculations used in determining ground cover.