Relevant bibliographies by topics / Arid rangelands

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
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Academic literature on the topic 'Arid rangelands'

Author: Grafiati
Published: 4 June 2021
Last updated: 19 February 2022

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Journal articles on the topic "Arid rangelands"

1

Saädi, Slim, and Gustave Gintzburger. "A spatial desertification indicator for Mediterranean arid rangelands: a case study in Algeria." Rangeland Journal 35, no. 1 (2013): 47. http://dx.doi.org/10.1071/rj12021.

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Sheep and goat production is the main and sometimes only agricultural activity available to populations living on rangelands in the arid regions around the Mediterranean. Desertification threatens large areas of Mediterranean arid rangelands but remains difficult to describe, quantify and accurately locate for management purposes. A methodology is described which estimates a Spatial Rain-Use Efficiency Index (SRUEI) and its potential use to evaluate rangeland condition at a large scale. It is based on an Aboveground Net Primary Production (AGNPP) map generated from field herbage mass measurements and a rainfall spatial distribution map derived from local elevation–rainfall gradients with the whole resulting from satellite imagery processing and GIS technology. The area of the case study was in the Nâama–Mecheria region located on the High Plateau south of Oran (Algeria). It covers ~215 000 ha, receiving ~200 mm year–1 of winter and spring precipitation. The Nâama–Mecheria SRUEI-derived map clearly shows the degradation gradient declining away from the settlements. The Mecheria AGNPP 2007 map and associated grazing rings indicate that the Mecheria cooperative flocks may ingest 48–57% (Range Use Factor) of the rangeland’s seasonal plant production, which is barely compatible with sustainable rangeland use. When adding the effect of fuel wood collection by local residents and rain-fed arable cropping, the Nâama–Mecheria region is undoubtedly heading towards a slow but certain desertification of its fragile arid rangelands unless correcting measures are implemented. The SRUEI and associated results are powerful tools that allow rangeland conditions to be mapped, and which can be employed in planning and pursuing sustainable management of rangelands in such arid areas.
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Norman, Laura M., Miguel L. Villarreal, Rewati Niraula, Mark Haberstich, and Natalie R. Wilson. "Modelling Development of Riparian Ranchlands Using Ecosystem Services at the Aravaipa Watershed, SE Arizona." Land 8, no. 4 (April 16, 2019): 64. http://dx.doi.org/10.3390/land8040064.

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This paper describes how subdivision and development of rangelands within a remote and celebrated semi-arid watershed near the US–Mexico border might affect multiple ecohydrological services provided, such as recharge of the aquifer, water and sediment yield, water quality, flow rates and downstream cultural and natural resources. Specifically, we apply an uncalibrated watershed model and land-change forecasting scenario to consider the potential effects of converting rangelands to housing developments and document potential changes in hydrological ecosystem services. A new method to incorporate weather data in watershed modelling is introduced. Results of introducing residential development in this fragile arid environment portray changes in the water budget, including increases in surface-water runoff, water yield, and total sediment loading. Our findings also predict slight reductions in lateral soil water, a component of the water budget that is increasingly becoming recognized as critical to maintaining water availability in arid regions. We discuss how the proposed development on shrub/scrub rangelands could threaten to sever imperative ecohydrological interactions and impact multiple ecosystem services. This research highlights rangeland management issues important for the protection of open space, economic valuation of rangeland ecosystem services, conservation easements, and incentives to develop markets for these.
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Danckwerts, JE, PJ O'reagain, and TG O'connor. "Range Management in a Changing Environment: a Southern African Perspective." Rangeland Journal 15, no. 1 (1993): 133. http://dx.doi.org/10.1071/rj9930133.

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We address a number of management principles pertaining to temporal and spatial changes in rangeland systems. Both plant community composition, and availability and quality of forage, are temporally variable. The process of community change, at least in southern Africa, appears to differ between humid and arid environments. In humid environments, change follows a relatively gradual and predictable pattern, with both over- and under-grazing resulting in decreased carrying capacity. Factors other than grazing also cause change. In arid environments, change is event-driven, providing the grazier with risks and opportunities to cause or prevent community change from one state to another. Humid and arid rangelands also exhibit different patterns of inter- and intra-seasonal variation in forage availability and quality. In the former, changes, particularly in quality, are relatively predictable, allowing the grazier to match forage demand to supply, thus facilitating stable animal husbandry systems. In arid ranges, the profound change is inter-seasonal forage production, implying unpredictable carrying capacity. Flexibility in livestock numbers is therefore essential. Spatial heterogeneity of rangelands results in patch utilisation and localised deterioration of varying scale. In southern Africa, the traditional response has been fencing, an expensive and sometimes impracticable solution on an extensive scale. Fire and siting of artificial water points or mineral licks are alternative options for redistributing animals. The interaction of spatial heterogeneity with temporal rainfall fluctuations in arid rangelands provides pulses of productivity varying in space, time and magnitude. Settled pastoralism is perhaps unsuited to these environments. Finally, in view of the complexity of rangeland systems, and the paucity of empirical predictions for graziers, we suggest that formalised adaptive management - decision-making from past mistakes and successes - is the most appropriate means for graziers to cope with a changing environment.
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Gintzburger, GA, and PW Skinner. "A simple single disc pitting and seeding machine for arid rangeland revegetation." Rangeland Journal 7, no. 1 (1985): 29. http://dx.doi.org/10.1071/rj9850029.

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A simple, single disc, pitting and seeding machine was developed for revegetation operations on degraded arid rangelands. This machine creates a shallow pit in which seeds or medic burrs are dropped and rainwater is trappedThe length or depth of a pit can be altered by changing the disc shape. The machine consists of a seed box and a single modified plough disc, articulated behind a two- wheeled trailer. The disc directly activates the seed or burr dispenser. The machine operates behind a car. The low-cost machine could be an attractive option for rangeland revegetation programmes on privately-run Australian pastoral properties or rangelands of develop- ing countries.
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Mganga, K. Z., N. K. R. Musimba, and D. M. Nyariki. "Competition indices of three perennial grasses used to rehabilitate degraded semi-arid rangelands in Kenya." Rangeland Journal 37, no. 5 (2015): 489. http://dx.doi.org/10.1071/rj15023.

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Rangeland degradation is one of the most serious environmental challenges in arid and semi-arid environments in Africa. Grass reseeding technology, using indigenous perennial grass species has a great potential for restoring ecosystem functionality in these degraded lands. This study was aimed at investigating how the establishment of indigenous grasses used to rehabilitate degraded semi-arid rangelands in Kenya as monocultures or binary mixtures affect dry matter biomass yields and plant competition indices at different phenological stages of development: seedling, elongation and reproduction. Using plant competition indices, we demonstrated which among these grass species showed a complementary vis-à-vis competitive interaction in binary mixtures across their phenological stages. Monocultures and binary mixtures of three perennial grass species: Cenchrus ciliaris L. (Buffel grass), Enteropogon macrostachyus Munro ex Benth. (Bush ryegrass) and Eragrostis superba Peyr. (Wilman lovegrass) native to these semi-arid rangelands were established in a field experiment. Pure stands of E. macrostachyus yielded higher biomass than C. ciliaris and E. superba only at the seedling and elongation phases but not the reproduction phase, where the yields were lowest among pure stands. Negative plant interactions in binary mixtures were observed at seedling and reproduction stages, compared with positive interactions observed at the elongation phase. Binary grass mixtures had a significant advantage for exploiting available environmental resources only at the elongation phase but not at the seedling and reproduction phases. Based on the estimated competition indices, E. superba best complements C. ciliaris across the phenological stages. We therefore conclude that this binary mixture is the one most likely to ensure successful rehabilitation of degraded semi-arid rangelands in this region.
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Lee R. Erickson and Pat O. Currie. "Rangeland Improvement Machine for Multiple Renovation Practices on Semi-Arid Rangelands." Transactions of the ASAE 28, no. 1 (1985): 094–96. http://dx.doi.org/10.13031/2013.32209.

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Behmanesh, Bahareh, Hossein Barani, Ahmad Abedi Sarvestani, Mohammad Reza Shahraki, and Mohsen Sharafatmandrad. "Rangeland degradation assessment: a new strategy based on the ecological knowledge of indigenous pastoralists." Solid Earth 7, no. 2 (April 18, 2016): 611–19. http://dx.doi.org/10.5194/se-7-611-2016.

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Abstract. In a changing world, the prevalence of land degradation is becoming a serious problem, especially in countries with arid and semi-arid rangelands. There are many techniques to assess rangeland degradation that rely on scientific knowledge but ignore indigenous people. Indigenous people have accumulated precious knowledge about land management through generations of experience. Therefore, a study was conducted to find out how indigenous people assess rangeland degradation and how their ecological knowledge can be used for rangeland degradation assessment. Interviews were conducted with the pastoralists of two sites (Dasht and Mirza Baylu), where part of both areas is located in Golestan National Park (north-eastern Iran). A structured questionnaire was designed based on 17 indicators taken from literature and also primary discussions with pastoralists in order to evaluate land degradation. A qualitative Likert five-point scale was used for scoring rangeland degradation indicators. The results revealed that pastoralists pay more attention to edaphic indicators than to vegetative and other indicators. There were significant differences between the inside and outside of the park in terms of rangeland degradation indicators for both sites. The results show that the rangelands outside of the park in both sites were degraded compared to those inside of the park, especially in the areas close to villages. It can be concluded that pastoralists have a wealth of knowledge about the vegetation and grazing animal habits that can be used in rangeland degradation assessment. It is therefore necessary to document their ecological indigenous knowledge and involve them in the process of rangeland-degradation assessment.
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Friedel, MH. "Some key concepts for monitoring Australia's arid and semi-arid rangelands." Rangeland Journal 12, no. 1 (1990): 21. http://dx.doi.org/10.1071/rj9900021.

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Both the structure of rangelands and the way they function are characteristically variable in space and time. The landscape is patterned on a series of scales; land systems, land units, erosion cells, grazing effects, distribution of individual plants and microtopography an impinge on the way we decide to monitor changes in vegetation and soils. Temporal variability also occurs at a number of scales and these will affect both the type of data that we collect and the way we interpret them. Spatial and temporal variability in combination determine our view of the processes which operate in the rangelands and the models we use to describe them. New models may lead to a different approach to monitoring.
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Rogers, RW. "Blue-green algae in southern Australian rangeland soils." Rangeland Journal 11, no. 2 (1989): 67. http://dx.doi.org/10.1071/rj9890067.

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Blue-green algae (Cyanobacteria) are imponant to the ecology of arid rangelands as sources of nitrogen and as soil stabilizers, yet have been the subject of little comment or investigation in Australia. To provide information on their distribution soil samples were collected from 136 locations in rangeland areas of southem Australia and cultured to permit the identification of the blue-green algae present. Blue-green algae were found in 134 of the samples. The species represented include several apparently capable of nitrogen fixation, and all produce a gelatinous sheath which can bind soil panicles to produce soil-surface crusts. It is likely that lichens and blue-green algae are important for the ecology of arid rangelands now, and if climatic change destroys the lichens which are very heat sensitive when wet, blue- greens may become even more significant in soil conservation and the maintenance of pasture productivity. Both lichens and blue-green algae merit inclusion in assessments of range condition.
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Holechek, Jerry L., Hatim M. E. Geli, Andres F. Cibils, and Mohammed N. Sawalhah. "Climate Change, Rangelands, and Sustainability of Ranching in the Western United States." Sustainability 12, no. 12 (June 17, 2020): 4942. http://dx.doi.org/10.3390/su12124942.

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Accelerated climate change is a global challenge that is increasingly putting pressure on the sustainability of livestock production systems that heavily depend on rangeland ecosystems. Rangeland management practices have low potential to sequester greenhouse gases. However, mismanagement of rangelands and their conversion into ex-urban, urban, and industrial landscapes can significantly exacerbate the climate change process. Under conditions of more droughts, heat waves, and other extreme weather events, management of risks (climate, biological, financial, political) will probably be more important to the sustainability of ranching than capability to expand output of livestock products in response to rising demand due to population growth. Replacing traditional domestic livestock with a combination of highly adapted livestock and game animals valued for both hunting and meat may be the best strategy on many arid rangelands. Eventually, traditional ranching could become financially unsound across large areas if climate change is not adequately addressed. Rangeland policy, management, and research will need to be heavily focused on the climate change problem.
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Dissertations / Theses on the topic "Arid rangelands"

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Popp, Alexander. "An integrated modelling approach for sustainable management of semi-arid and arid rangelands." Phd thesis, kostenfrei, 2007. http://opus.kobv.de/ubp/volltexte/2007/1510/.

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Dube, Sikhalazo. "A model for adaptive livestock management on semi-arid rangelands in Texas." Diss., Texas A&M University, 2003. http://hdl.handle.net/1969.1/3975.

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A stochastic, compartmental Model for Adaptive Livestock Management (MALM) was developed for cow-calf enterprise for Rolling Plains of Texas from an existing model, Simple Ecological Sustainability Simulator (SESS). The model simulates forage and animal production. It runs on a monthly time step. Two stocking strategies, flexible and fixed, were evaluated at seven stocking levels for effects on forage and animal production, range condition, and net ranch income. Evaluation data were obtained from published and unpublished data from Texas A&M Agricultural Experimental Station at Vernon for Throckmorton. The model adequately simulated forage and animal production. Light fixed stocking rates and flexible stocking strategies resulted in cows of median body condition score (BCS) 5, compared to low BCS of 4 under moderate fixed stocking rate, and BCS of 3 under heavy fixed stocking. BCS declined from autumn to early spring and peaked in summer. Cows under light fixed stocking rates and under flexible stocking were heavier (460 kg) compared to those under heavy fixed stocking (439 kg). Replacement rates were lower under light stocking (22 %), compared to flexible (37 %) and heavy stocking (56 %). Calf crops were all above the reported 90 % expected for bred heifers because of the replacement policy. Flexible stocking strategy resulted in higher net income ($19.62 ha-1), compared to fixed light ($5.93 ha-1) or fixed heavy ($-17.35 ha-1) stocking strategies. Coefficient of variation (CV) in net income was highest under heavy stocking (90%) compared to light stocking (60%) and flexible stocking (50%). Maximum net income was obtained between 0.05 AUM·ha-1 and 0.13 AUM·ha-1 when fixed stocking strategy was used but when flexible stocking strategy was used maximum net income was obtained between 0.1 AUM·ha-1 and 0.17 AUM·ha-1. Range condition rapidly declined under fixed heavy stocking, increased under fixed and light flexible stocking, and remained constant under moderate flexible stocking. Heavy fixed stocking decreased range condition rapidly over a 20-year period. MALM was an effective tool to demonstrate effects of different management strategies. The model can function as a strategic or a tactical decision aid. It is concluded that there is potential for this model to assist managers in improving the sustainability of agriculture.
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Hobbs, Trevor J., and n/a. "Herbage production modelling and assessment in the arid rangelands of Central Australia." University of Canberra. Applied Science, 1994. http://erl.canberra.edu.au./public/adt-AUC20060725.143830.

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The management and sustainable use of Central Australian rangelands for livestock production and conservation requires improved knowledge of the temporal and spatial distribution of primary production in this region. To provide such information, this thesis investigated methods that could rapidly and efficiently estimate regional herbage biomass production in these arid landscapes. Two different approaches were examined, using (1) ground-based or (2) satellite-based data sources. Soil moisture and herbage growth data were collected over several growth seasons and five landscape types in Central Australia, and the data used to develop a model of soil moisture balance and herbage production for the region. The model has few parameters and only requires inputs of rainfall and potential evaporation to predict daily soil moisture and plant growth. Moisture loss in the 0-500 mm soil profile was modelled using a negative exponential function that depends on available soil moisture and is driven by potential evaporation. The growth of herbage, whilst soil moisture is above wilting point, is a linear function of actual evapotranspiration, with the decay of plant material represented by a logistic curve through time. Soil moisture, herbage biomass and species composition assessments made at hectare and square kilometre scales at four locations within Central Australia were examined to determine if a small sample area could be used to accurately describe the soil and plant conditions at a landscape scale. Moisture levels of the 0-200 and 0-500 mm soil profiles from nine samples were analysed for the beginning and conclusion of a growth season, whilst herbage biomass and species composition from 50 samples were compared at the end of the growth season. Results suggest that mean soil moisture levels determined in a 1 ha area are comparable with mean values in the surrounding 1 km2 area. Herbage biomass and species richness for a square kilometre can be assessed at a hectare site for some landscape types, but a larger sampling area (> 1 ha) is recommended for most rangeland assessments. Satellite data (NOAA-11) were examined for their potential application in assessing primary productivity in Central Australia. Several image correction techniques were tested to minimise the adverse effects of atmospheric contamination and illumination. Two measures of atmospheric moisture: (1) radiosonde data and (2) temperature differences between bands 4 and 5 of the NOAA satellite (split-window) were used to explain variations in NOAA-11 normalised difference vegetation index (NDVI) on inert desert sites. The splitwindow approach provided the best single factor relationship (r2=0.63) and, when combined with scattering angle (illumination) effects, up to 81% of the variation in NDVI data could be explained. Field measurements of herbage biomass were correlated with four growth indices derived from NOAA-11 NDVI data. The influence of preflight and sensor degradation calibrations of Bands 1 and 2, and atmospheric correction techniques were also tested. Correlations between temporal sums of NDVI and herbage biomass data were relatively poor (r2<0.42) and unsuitable for herbage assessment in Central Australia. However, correlations between atmospherically corrected and background-adjusted maximum NDVI data and observed herbage biomass were strong (r2=0.91), that will allow primary production in the arid rangelands of Central Australia to be assessed rapidly and efficiently using remotely-sensed information.
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Venter, Daniel Barend. "An ecological approach to the reclamation and improvement of arid rangelands using adapted fodder plants." Pretoria : [s.n.], 2005. http://upetd.up.ac.za/thesis/available/etd-03262007-124226.

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Knight, Colt Watson. "Intake, Reproductive, and Grazing Activity Characteristics of Range Cattle on Semi-arid Rangelands." Diss., The University of Arizona, 2016. http://hdl.handle.net/10150/612879.

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ABSTRACT: Study One - Our objective was to characterize mature range cows based on intake and grazing activity. Starting in the early spring of 2013, 4 experiments were conducted. First, mature range cows (n = 137) were fitted with radio frequency identification tags (RFID) and placed in a dry-lot pen equipped with GrowSafe® technology to monitor DMI of alfalfa hay. These data were then used to assign cows a residual feed intake (RFI) value utilizing the National Research Council (NRC) (1996) model to predict intake of beef cattle. Cattle with negative and positive RFI were characterized as low-intake and high-intake, respectively. In addition, the following data were also recorded: weight (kg), age (mo), days pregnant (d), and body condition score (BCS). Second, 30 mature range cattle were selected from the first trial and fitted with pedometers for 7 d to monitor activity with step counts and estimate distance traveled. Third, mature range cows (n = 25) selected from the first trial were fitted with global position system (GPS) collars, and placed on pinyon-juniper rangeland from 20 June 2014 to 17 September 2014. Forth, mature range cows (n = 28) were fitted with GPS collars, and placed on ponderosa pine rangeland from 17 September 2014 to 15 October 2014. Distance traveled, slope, distance from water, elevation data were collected from both GPS trials. Low-intake and high-intake cows consumed 9.3 and 12.2 kg/d, respectively (P < 0.0001). Low-intake cattle became pregnant sooner (P = 0.002) than high-intake cattle (average of 16 d sooner). Cattle age (mo) equaled 90 and 98 for low- and high-intake cows, respectively (P = 0.04). Weight, predicted DMI, and BCS did not differ between groups (P > 0.06). Step counts for low- and high-intake animals were 5839 and 5383 ± 2089, respectively (P = 0.61), and estimated distance traveled was 4.31 and 5.35 ± 1.66 km d⁻¹ for low- and high-intake animals, respectively (P = 0.77). Low-intake cows (6.23 km d⁻¹) traveled farther (P = 0.005) each day than high-intake cows (5.84 km d⁻¹) on pinyon-juniper rangelands, and high-intake cows utilized (P = 0.013) steeper slopes. No differences were detected (P ≥ 0.06) for distance traveled, distance from water, and elevation for cows grazing ponderosa pine rangeland). However, low-intake cattle preferred (P = 0.046) steeper slopes on ponderosa pine rangeland than high-intake cattle. These results indicate that low-intake animals may travel farther on some rangelands and rebreed earlier. Study Two - Commercial grade heifers (n = 173) born and raised on the University of Arizona's V bar V Ranch from 2012 to 2014 were fitted with radio frequency identification tags (RFID) and placed in a drylot equipped with Growsafe® technology (8 bunks) for 60 d in 3 groups based on birth year in order to calculate DMI, residual feed intake (RFI), ADG, G:F, and residual gain (RG). Birth date, birth weight, weaning weight, age at start of trial, initial trial weight, and final trial weights were also recorded. Residual feed intake scores were utilized to place heifers in one of three treatment groups, low-, medium-, and high-intake. Reproductive and calf data were collected on heifers born in 2012. Means for birth date, birth weight, weaning weight, initial weight, final weight, and ADG did not differ among the three treatments. Residual gain for low-, medium-, and high-intake heifers were different (P < 0.05) at 0.07, 0.00, and -0.07 kg d⁻¹, respectively. Low-intake cattle had an improved (P < 0.05) GF ratio of 0.19 when compared to the medium- and high-intake heifers with ratios of 0.15 and 0.13 (P > 0.05), respectively. Differences (P <0. 05) in DMI were detected with low-, medium, and high-intake heifers consuming 5.2, 6.2, and 7.5 kg d⁻¹, respectively. No differences were detected for pregnancy rate, calving rate, percent bred artificial insemination (AI), percent bull calves, calf birth weight, and calf birth date among treatments (P > 0.05).Study Three - Commercially available GPS tracking collars for cattle are cost prohibitive to most researchers. This paper will present a low-cost alternative to those collars (Knight GPS tracking collars), and provide detailed instructions on where to source materials and how to fabricate inexpensive GPS tracking collars. In addition, the two types of collars will be compared in a study where Brangus cattle (n = 8) were each fitted with LOTEK® 3300 and Knight GPS tracking collars for 31 d beginning 14 March 2015 at the Chihuahuan Desert Rangeland Research Center (CDRRC) 37 km north of Las Cruces, New Mexico. Location, slope, distance from water, distance traveled and elevation were recorded every 10 min. A record of GPS fix rate was logged. No differences were detected (P≥0.369) between collar types for location, slope, or distance from water. However, there was a tendency (P = 0.08) for Knight collars to report a lower estimate for distance traveled at 6171 m d⁻¹ compared to Lotek collars at 7104 m d⁻¹. Fix rate was greater (P≤0.001) for Lotek collars compared to Knight collars at 99.9 and 66.2%, respectively. Study Four - Previously characterized commercial cows (n = 26) were placed into either high (positive RFI) or low intake (negative RFI) groups. On 14 May 2015, 13 high- and 13 low-intake cows were fitted with modified igotU GT-120® GPS logging collars. Cattle were then placed on rangeland for 120 d. The first 30 d period animals transitioned from desert shrubland to pinyon-juniper. From 31 to 60 d, animals grazed pinyon-juniper rangeland. Next, during days 61 to 90, animals transitioned from pinyon-juniper to ponderosa pine, and the last 30 d were spent in ponderosa pine. Time periods will be referred to as month 1, 2, 3, and 4 for days 0 to 30, 31 to 60, 61 to 90, and 91 to 120, respectively. Location, slope, distance from water, elevation, and time spent close to water were recorded every 10 min. No differences were observed in the utilization of elevation or distance traveled, or distance from water (P>0.05). Low intake animals used a higher maximum slope (P < 0.05) during month 3, but slope utilization differences were not detected for other portions of the trial (P > 0.05). Study Five - Hereford sires (n = 35) with 7 or more cow offspring on the University of Arizona V bar V ranch in Rimrock, Arizona were tested at Neogen laboratories in Lincoln, NE for an Igenity Gold genetic profile. Their residual feed intake (RFI), ADG, tenderness, marbling score, milk production percent choice, yield grade, fat thickness, ribeye area, heifer pregnancy rate, stayability, maternal calving ease, birthweight and docility were estimated. Sires were given a genetic RFI score based on their RFI profile and placed into one of three intake groups, low (< 0.5 SD), medium (± 0.5 SD) and high (> 0.5 SD). Performance traits of cow offspring (n = 839) from those sires were also compared based on their sire's intake group. No differences (P > 0.05) were detected among sire intake groups for ADG, tenderness, marbling score, percent choice, yield grade, fat thickness, ribeye area, heifer pregnancy rate, stayability, maternal calving ease, birthweight and docility. Residual feed intake differed among groups (P < 0.05), and high intake cattle had more estimated milk production compared to low intake animals (P < 0.05). Cows from low intake sires were born later in the year (P < 0.05). High intake cattle had a higher (P < 0.05) birthweight and survived longer (P < 0.05) in the herd when compared to low and medium intake cows. Genetic RFI and expected milk production were moderately to highly correlated.
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Van, den Berg Loraine. "The evaluation and promotion of best practices for the restoration of arid- and semi-arid rangelands in southern Africa / Loraine van den Berg." Thesis, North-West University, 2007. http://hdl.handle.net/10394/2036.

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Child, Brian. "The role of wildlife utilization in the sustainable economic development of semi-arid rangelands in Zimbabwe." Thesis, University of Oxford, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.481088.

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Fonnesbeck, Brook B. "Digital Soil Mapping Using Landscape Stratification for Arid Rangelands in the Eastern Great Basin, Central Utah." DigitalCommons@USU, 2015. https://digitalcommons.usu.edu/etd/4525.

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Digital soil mapping typically involves inputs of digital elevation models, remotely sensed imagery, and other spatially explicit digital data as environmental covariates to predict soil classes and attributes over a landscape using statistical models. Digital imagery from Landsat 5, a digital elevation model, and a digital geology map were used as environmental covariates in a 67,000-ha study area of the Great Basin west of Fillmore, UT. A “pre-map” was created for selecting sampling locations. Several indices were derived from the Landsat imagery, including a normalized difference vegetation index, normalized difference ratios from bands 5/2, bands 5/7, bands 4/7, and bands 5/4. Slope, topographic curvature, inverse wetness index, and area solar radiation were calculated from the digital elevation model. The greatest variation across the study area was found by calculating the Optimum Index Factor of covariates, choosing band 7, normalized difference ratio bands 5/2, normalized difference vegetation index, slope, profile curvature, and area solar radiation. A 20-class ISODATA unsupervised classification of these six data layers was reduced to 12. Comparing the 12-class map to a geologic map, 166 sites were chosen weighted by areal extent; 158 sites were visited. Twelve points were added using case-based reasoning to total 170 points for model training. A validation set of 50 sites was selected using conditioned Latin Hypercube Sampling. Density plots of sample sets compared to raw data produced comparable results. Geology was used to stratify the study area into areas above and below the Lake Bonneville highstand shoreline. Raster data were subset to these areas, and predictions were made on each area. Spatial modeling was performed with three different models: random forests, support vector machines, and bagged classification trees. A set of covariates selected by random forests variable importance and the set of Optimum Index Factor covariates were used in the models. The Optimum Index Factor covariates produced the best classification using random forests. Classification accuracy was 45.7%. The predictive rasters may not be useful for soil map unit delineation, but using a hybrid method to guide further sampling using the pre-map and standard sampling techniques can produce a reasonable soil map.
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Pando, Marisela. "A new approach in the use of Landsat imagery for inventory of rangeland /." University of Adelaide, 1987. http://web4.library.adelaide.edu.au/theses/09SM/09smp189.pdf.

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Saley, Moussa Abdoulaye. "Evaluation of selected soil properties in semi-arid communal rangelands in the Western Bophirima district, South Africa / Abdoulaye Saley Moussa." Thesis, North-West University, 2007. http://hdl.handle.net/10394/1306.

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Books on the topic "Arid rangelands"

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Gintzburger, Gustave. Rangelands of the arid and semi-arid zones in Uzbekistan. Montpellier, France: CIRAD, 2003.

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Animals of the western rangelands. Happy Camp, CA, U.S.A: Naturegraph Publishers, 1986.

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Thilenius, John F. Vegetation on semi-arid rangelands, Cheyenne River Basin, Wyoming. Fort Collins, Colo: U.S. Dept. of Agriculture, Forest Service, Rocky Mountain Forest and Range Experiment Station, 1995.

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Toit, Johan T. Du. Wild rangelands: Conserving wildlife while maintaining livestock in semi-arid ecosystems. Oxford: Wiley-Blackwell, 2010.

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Kakujaha-Matundu, Omu. Common pool resource management: The case of the eastern communal rangelands in semi-arid Namibia : a thesis. Maastricht: Shaker Pub., 2003.

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Serra, Gianluca. From indifference to awareness: Encountering biodiversity in the semi-arid rangelands of the Syrian Arab Republic. Rome: FAO Inter-Departmental Working Group on Biological Diversity for Food and Agriculture, 2003.

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Wijngaarden, Willem van. Elephants, trees, grass, grazers: Relationships between climate, soils, vegetation, and large herbivores in a semi-arid savanna ecosystem (Tsavo, Kenya). [Enschede, Netherlands]: International Institute for Aerospace Survey and Earth Sciences, 1985.

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Metcalfe, Simon. Livestock, wildlife, and the forage commons: Prospects for rangelands reform in a semi-arid communal area of Zimbabwe. Mount Pleasant [Harare]: Centre for Applied Social Sciences, University of Zimbabwe, 1995.

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Medina, Alvin L. The Santa Rita Experimental Range: Annotated bibliography (1903-1988). Fort Collins, Colo: United States Dept. of Agriculture, Forest Service, Rocky Mountain Forest and Range Experiment Station, 1996.

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Harper, K. T. Cryptogamic soil crusts on arid and semiarid rangelands in Utah: Effects on seedling establishment and soil stability : final report on BLM Contract no. BLM AA 851-CT1-48. [Salt Lake City, Utah: Bureau of Land Management, Utah State Office], 1985.

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Book chapters on the topic "Arid rangelands"

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Ericksen, Polly, Pierre Hiernaux, Augustine Ayantunde, Philip K. Thornton, Jason Sircely, and Lance Robinson. "Rangeland ecology." In The impact of the International Livestock Research Institute, 395–422. Wallingford: CABI, 2020. http://dx.doi.org/10.1079/9781789241853.0395.

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Abstract Rangelands research in arid and semi-arid sub-Saharan Africa has been reinvigorated by renewed government and donor interest in pastoral livelihoods. The challenges facing productive rangelands remain competition over resources, which has been exacerbated by armed conflict; overuse of some rangelands as fragmentation continues; and the failure of many technical and governance interventions. The unresolved development challenges of pastoralism in East and West Africa make it essential to renew long-term empirical research to understand rangeland dynamics and to develop appropriate public policies. The rangelands research agenda at the International Livestock Research Institue focuses on: (i) governance for better rangeland management; (ii) monitoring rangeland conditions to improve development interventions; (iii) understanding the interactions between climate change and the rangelands; and (iv) improving rangelands productivity for pastoral resilience.
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Roundy, Bruce A., and C. A. Call. "Revegetation of arid and semiarid rangelands." In Vegetation science applications for rangeland analysis and management, 607–35. Dordrecht: Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-009-3085-8_24.

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Busso, C. A., and Osvaldo A. Fernández. "Arid and Semiarid Rangelands of Argentina." In Climate Variability Impacts on Land Use and Livelihoods in Drylands, 261–91. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56681-8_13.

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Lackett, Jill M., and Kathleen A. Galvin. "From Fragmentation to Reaggregation of Rangelands in the Northern Great Plains, USA." In Fragmentation in Semi-Arid and Arid Landscapes, 113–34. Dordrecht: Springer Netherlands, 2008. http://dx.doi.org/10.1007/978-1-4020-4906-4_5.

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Leonard, S. G., R. L. Miles, and P. T. Tueller. "Vegetation-soil relationships on arid and semiarid rangelands." In Vegetation science applications for rangeland analysis and management, 225–52. Dordrecht: Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-009-3085-8_10.

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Dawson, Terence J., and Adam J. Munn. "How much do kangaroos of differing age and size eat relative to domestic stock?: implications for the arid rangelands." In Animals of Arid Australia, 96–101. P.O. Box 20, Mosman NSW 2088, Australia: Royal Zoological Society of New South Wales, 2007. http://dx.doi.org/10.7882/fs.2007.044.

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Richard, Camille E. "Co-Management Processes to Maintain Livestock Mobility and Biodiversity in Alpine Rangelands of the Tibetan Plateau." In Conserving Biodiversity in Arid Regions, 249–73. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-1-4615-0375-0_18.

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Oñatibia, Gastón R. "Grazing Management and Provision of Ecosystem Services in Patagonian Arid Rangelands." In Ecosystem Services in Patagonia, 47–74. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-69166-0_3.

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Harper, Kimball T., and James R. Marble. "A role for nonvascular plants in management of arid and semiarid rangelands." In Vegetation science applications for rangeland analysis and management, 135–69. Dordrecht: Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-009-3085-8_7.

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Snaibi, Wadii, and Abdelhamid Mezrhab. "Livestock Breeders’ Adaptation to Climate Variability and Change in Morocco’s Arid Rangelands." In African Handbook of Climate Change Adaptation, 1–20. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-42091-8_18-1.

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Conference papers on the topic "Arid rangelands"

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"Estimating soil organic carbon stocks using machine learning methods in the semi-arid rangelands of New South Wales." In 22nd International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand (MSSANZ), Inc., 2017. http://dx.doi.org/10.36334/modsim.2017.g1.wang.

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"Response of Soil Organic Matter to Changes in the differing intensities of grazing in semi-arid rangelands in Iran." In 2016 ASABE International Meeting. American Society of Agricultural and Biological Engineers, 2016. http://dx.doi.org/10.13031/aim.20162430448.

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Aralova, Dildora, Kristina Toderich, Ben Jarihani, Dilshod Gafurov, Liliya Gismatulina, Babatunde A. Osunmadewa, and Majdaldin Rahamtallah Abualgasim. "Environmental resilience of rangeland ecosystems: assessment drought indices and vegetation trends on arid and semi-arid zones of Central Asia." In SPIE Remote Sensing, edited by Ulrich Michel, Karsten Schulz, Manfred Ehlers, Konstantinos G. Nikolakopoulos, and Daniel Civco. SPIE, 2016. http://dx.doi.org/10.1117/12.2242563.

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