• Leaf Traits as Functional Descriptors of the Intensity of Continuous Grazing in Native Grasslands in the South of Brazil

      Cruz, Pablo; De Quadros, Fernando Luis F.; Theau, Jean Pierre; Frizzo, Adriana; Jouany, Claire; Duru, Michel; Carvalho, Paulo Cesar F. (Society for Range Management, 2010-05-01)
      Plant functional types (PFT) have been used to describe the response of native vegetation to environmental factors (i.e., fertility) and to livestock disturbance, but rarely under conditions of continuous grazing. In this work we investigate whether the long- term response of grassland communities submitted to a gradient of continuous grazing pressure can be described with such an approach. After 15 yr of differentiation of the grazing pressure applied to native grasslands we measured leaf dry-matter content (LDMC) and specific leaf area (SLA) of Poaceae populations of the communities. A grazing pressure gradient was created by levels of daily forage allowance: 4, 8, 12, and 16 kg of dry matter per day per 100 kg of animal live weight, monitored monthly. PFTs were defined by numerical analysis, where an algorithm finds the optimal trait subset based on the agreement between matrices of species3traits, paddocks3grass biomass, and environmental variables (levels of forage allowance and soil characteristics). The results show that it is possible to describe a gradient of grazing pressure by means of LDMC and/or SLA measured only on the Poacea contributing at least 80% of the total Poaceae biomass. Four PFTs were differentiated by these leaf traits. PFTs having low LDMC and high SLA are characteristic of high intensity of use and are made up largely of stoloniferous C4 species typical of rapid resource capture strategies. Conversely, PFTs characterized by high LDMC and low SLA include species that are representative of low grazing pressure. Variations in the aggregate value of traits are due to changes in the species proportions and not to leaf-size adaptation as hypothesized. We conclude than in the absence of a gradient of fertility, plants with strategies of resource capture tend to be more represented under high grazing pressures. This situation results in a loss of functional diversity, but in particular a reduction in forage availability, which is incompatible with high animal production. 
    • Moose Summer Diet From Feces and Field Surveys: A Comparative Study

      Wam, Hilde Karine; Hjeljord, Olav (Society for Range Management, 2010-05-01)
      Microhistological analysis of feces is the most applied noninvasive method for assessing diets of wild ungulates. However, the method is complicated by differential digestibility of forage species. To evaluate the efficacy of this method in quantifying browse components in summer diets of moose (Alces alces L.) on Norwegian rangelands, we compared it to parallel field surveys of browsed vegetation on the same range. Although the same principal diet components were identified in the feces and in the field, there were consistent discrepancies between the two methods in estimated proportional diet contents. Birch (Betula spp.) showed the highest field:fecal ratio: 3.3 +/- 0.50 compared to 0.9 +/- 0.16 for Salix spp., 0.8 +/- 0.16 for aspen (Populus tremula L.), and 0.6 +/- 0.12 for rowan (Sorbus aucuparia L.). Until in vivo fecal correction factors for differential forage digestibility are available, we caution against broad application of fecal analyses for estimating proportions of browse in moose diet. Although we could not determine the exact amount of discrepancy implicit in each method, previous studies of moose summer diet in the area clearly indicate that fecal analyses gave a less accurate representation of actual moose browse diet than did the field survey. Fecal analyses are nevertheless needed to identify moose diet components other than browse, which are not easily obtained from field surveys. 
    • Nutrient and Sediment Transport on Flood-Irrigated Pasture in the Klamath Basin, Oregon

      Ciotti, D.; Griffith, S. M.; Kann, J.; Baham, J. (Society for Range Management, 2010-05-01)
      Distinguishing between anthropogenic and natural sources of sediment and nutrients is important for water resource management in irrigated basins. Water quality of flood irrigation was monitored at the field scale in the upper Klamath Basin, Oregon, on two unfertilized cattle pastures that were 2 ha (Site 1) and 70 ha (Site 2) in area. Water samples were analyzed for concentrations of sediment, total dissolved nitrogen (TDN), total dissolved phosphorus (TDP), orthophosphate, ammonium-N (NH+4 -N), and nitrate-N (NO-3 -N). At both sites the TDN concentration was significantly greater in surface runoff than in applied irrigation water (P<0.05). Site 1 sediment and TDP concentrations were significantly greater in irrigation surface runoff than in applied irrigation water (P < 0.05). A first flush during irrigation was observed at Site 1 where nutrient concentration was at maximum value during the first 3 h of surface runoff. At Site 2 the surface runoff sediment and TDP concentrations were not significantly (P > 0.05) higher than the applied irrigation, except when cattle were present. When export was measured, the mean yield of sediment and TDN per irrigation was 23.9 kg N ha-1 and 0.26 kg N ha-1, respectively, and there was a net retention of TDP of 0.04 kg P ha-1. NH+4 -N export occurred during one irrigation event yielding 0.15 kg N ha-1. NO-3 -N export was minimal or undetected. A late summer storm event resulted in pasture surface runoff concentrations of TDN and TDP that were 33 and 3 times higher, respectively, than irrigation source water concentrations. The TDN was significantly higher in subsurface runoff than it was in applied irrigation water (P < 0.05). Improved irrigation efficiency might prevent many of the nutrient and sediment transport mechanisms observed during this study. 
    • One-Seed Juniper Sapling Use by Goats in Relation to Stocking Density and Mixed Grazing With Sheep

      Utsumi, Santiago A.; Cibils, Andres F.; Estell, Richard E.; Baker, Terrell T.; Walker, John W. (Society for Range Management, 2010-05-01)
      Suppression of one-seed juniper (Juniper monosperma [Englem.] Sarg.) reinvasion with goats requires achieving levels of defoliation of newly established saplings that eventually kill or suppress plant growth. We tested the effects of stocking density and mixed grazing with sheep on the level of use of one-seed juniper saplings by goats. In summer and spring, groups of 10 does (goats alone, GA) or 5 does and 4 ewes (mixed grazing, MG), grazed 20 X 30 m cells infested with saplings (500-533 ha-1; mean: 0.8 m tall), either continuously for 6 d (low stocking density, LD) or with daily rotation through 10 X 10 m cells during the 6-d period (high stocking density, HD) in a block design. Feeding activity; juniper in feces; utilization of herbaceous vegetation; frequency of saplings with light, moderate, and heavy foliage and bark use; and branch utilization were determined. Goats in HD spent more time feeding on saplings, less time feeding on herbaceous forages, and tended to consume more juniper than goats in LD. Utilization of herbaceous vegetation ranged from 52% to 73% and was higher for MG than GA and for LD than HD. The MG-HD treatment resulted in the highest frequency of short saplings (< 0.5 m) with heavy defoliation in summer and spring, and lowest frequency of saplings with light debarking in spring. Heavy defoliation was more frequent in short saplings, whereas heavy debarking was more frequent in tall (> 1 m) saplings. Sapling mortality was not affected by treatments (P > 0.05) and averaged 5% across treatments. Branch debarking was greater in spring (P = 0.02) and explained approximately 80% of branch mortality and 62% and 52% of the reduction in sapling live crown height and volume. Branch utilization (percent length) was not affected by grazing treatments (range: 45-48%), but was influenced by the length and diameter of branches. This study suggests that high stocking density and mixed grazing stimulate feeding behaviors that increase utilization of juniper saplings by goats. Susceptibility of saplings to defoliation and debarking varies with sapling size, branch structure, and season. Targeted grazing in spring appears to have a greater impact on sapling suppression and branch mortality due to higher debarking frequency. 
    • Prescribed Fire, Grazing, and Herbaceous Plant Production in Shortgrass Steppe

      Augustine, David J.; Derner, Justin D.; Milchunas, Daniel G. (Society for Range Management, 2010-05-01)
      We examined the independent and combined effects of prescribed fire and livestock grazing on herbaceous plant production in shortgrass steppe of northeastern Colorado in the North American Great Plains. Burning was implemented in March, before the onset of the growing season. During the first postburn growing season, burning had no influence on soil moisture, nor did it affect soil nitrogen (N) availability in spring (April-May), but it significantly enhanced soil N availability in summer (June-July). Burning had no influence on herbaceous plant production in the first postburn growing season but enhanced in vitro dry matter digestibility of blue grama (Bouteloua gracilis [Willd. ex Kunth] Lag. ex Griffiths) forage sampled in late May. For the second postburn growing season, we found no difference in herbaceous plant production between sites that were burned and grazed in the previous year versus sites that were burned and protected from grazing in the previous year. Our results provide further evidence that prescribed burns conducted in late winter in dormant vegetation can have neutral or positive consequences for livestock production because of a neutral effect on forage quantity and a short-term enhancement of forage quality. In addition, our results indicate that with conservative stocking rates, deferment of grazing during the first postburn growing season may not be necessary to sustain plant productivity. 
    • Spatial Predictions of Cover Attributes of Rangeland Ecosystems Using Regression Kriging and Remote Sensing

      Karl, Jason W. (Society for Range Management, 2010-05-01)
      Sound rangeland management requires accurate information on rangeland condition over large landscapes. A commonly applied approach to making spatial predictions of attributes related to rangeland condition (e.g., shrub or bare ground cover) from remote sensing is via regression between field and remotely sensed data. This has worked well in some situations but has limited utility when correlations between field and image data are low and it does not take advantage of all information contained in the field data. I compared spatial predictions from generalized least-squares (GLS) regression to a geostatistical interpolator, regression kriging (RK), for three rangeland attributes (percent cover of shrubs, bare ground, and cheatgrass [Bromus tectorum L.]) in a southern Idaho study area. The RK technique combines GLS regression with spatial interpolation of the residuals to improve predictions of rangeland condition attributes over large landscapes. I employed a remote-sensing technique, object-based image analysis (OBIA), to segment Landsat 5 Thematic Mapper images into polygons (i.e., objects) because previous research has shown that OBIA yields higher image-to-field data correlations and can be used to select appropriate scales for analysis. Spatial dependence, the decrease in autocorrelation with increasing distance, was strongest for percent shrub cover (samples autocorrelated up to a distance [i.e., range] of 19 098 m) but present in all three variables (range of 12 646 m and 768 m for bare ground and cheatgrass cover, respectively). As a result, RK produced more accurate results than GLS regression alone for all three attributes when predicted versus observed values of each attribute were measured by leave- one-out cross validation. The results of RK could be used in assessments of rangeland conditions over large landscapes. The ability to create maps quantifying how prediction confidence changes with distance from field samples is a significant benefit of regression kriging and makes this approach suitable for landscape-level management planning.