A Hydrogeologic Evaluation of the Waterloo Area in the Upper Jefferson River Valley, Montana

The Upper Jefferson River is one of the most dewatered rivers in Montana. The river exists in an intermontane basin filled with sediment transported from the Highland Mountains to the west, the Tobacco Root Mountains to the east, and the Jefferson River from the south. The Upper Jefferson River Valley is highly dependent on the Jefferson River as the main industry in the valley is agriculture. A majority of the valley is irrigated and used to grow crops, and a good portion is also used for cattle grazing. The residents of the Upper Jefferson River Valley use the aquifer as the main source of potable water. The Jefferson River is also widely used for recreation. This study took place in the Waterloo area of the Upper Jefferson River Valley, approximately 20 miles south of Whitehall, Montana. The Waterloo area provides significant groundwater base flow to the Jefferson River, which is particularly important during the late irrigation season when the river is severely dewatered, and elevated surface-water temperatures occur, creating irrigation water shortages and poor trout habitat. This area contains two springfed streams, Willow Springs and Parson’s Slough, which discharge to the Jefferson River providing cool water in the late season as well as providing the most important trout spawning habitat in the valley. The area is bordered on both the east and west by irrigation ditches, and about 60% of the study area is irrigated. Tile drains were installed in the study area in close proximity to Parsons Slough causing some concern by neighboring residents. This study evaluated relationships between surface water, groundwater, and irrigation practices so that water managers and others can make informed management decisions about the Upper Jefferson River. Data was collected via a network of groundwater wells and surface-water sites. Additionally, water-quality samples were taken and an aquifer test was conducted to determine aquifer properties. The field data were analyzed and a groundwater budget was created in order to evaluate the aquifer. Results of the groundwater budget show that seepage from the irrigation canals and irrigation recharge have the biggest influence on recharge of the aquifer. There is significant groundwater outflow from the aquifer in the spring-fed streams as well as discharge to the Jefferson River. In comparing previous study results to this study’s results, there is no evidence of the water table decreasing due to irrigation practice changes or tile drain installation. However, given the amount of recharge irrigation practices contribute to the aquifer, if significant changes were made, they may affect groundwater elevations. Also lining the irrigation ditches would have a significant impact on the aquifer, as the amount of seepage would be greatly reduced

Stage Based Matrix Modeling of Trifolium stoloniferum Restoration Populations at Taylor Fork Ecological Area, Madison County, Kentucky

Trifolium stoloniferum is a federally endangered plant species that was once abundant from parts of the eastern United States like West Virginia and Kentucky and into parts of the west, such as Kansas, but was considered extinct for many years before the species was rediscovered. Although the species is recovering overall and is pending to be downlisted to threatened, this species, and many others, can benefit from more detailed population viability analyses such as the one conducted for the project. The objective of this research was to conduct a stage-based population viability analysis of restoration populations five and seven, located at the Taylor Fork Ecological Area in Madison County, Kentucky and to relate how this type of analyses can and ought to be used in the conservation of this species. In order to conduct the stage-based analyses, we first analyzed and found that the proposed life history stage classifications used are valid. Furthermore, the stage-based analyses conducted in this project has been compared to previous research done with the restoration populations at Taylor Fork Ecological Area with count-based population viability analyses to compare the value of stage-based modeling over the simpler count-based methods. Thus, even when data are limited, and even though stage-based modeling is more difficult and resource consuming to do, it is recommended to use it when assessing endangered plant species because of the critical demographic information such as the dominant eigenvalue, the stable stage distribution, reproductive values, and the elasticity matrix that stage-based analyses provide

AN EMPIRICAL TEST FOR THE EXPANSION-CONTROL MODEL FOR MANAGING END-USER COMPUTING

The purpose of this research is to determine if the expansion-control model as proposed, adapted, and refined (Munro and Huff 1985; Munro, Huff and Moore 1987) is useful for understanding and predicting changes in EUC management strategy over time. The long-term interest is not so much in understanding the specific problem of managing end-user computing as in understanding the general problem of managing new information technology in organizations. A field study was conducted with eighteen large firms in manufacturing and services to review their experience with EUC management over a nine year period. As predicted, most firms took a hands-off approach to EUC management during the initiation phase and evolved toward a balance between control and slack by 1987. However, changes in firms\u27 EUC management strategy over time were more complex than predicted. In addition, the expansion and control constructs were not as independent as previously thought. The interaction between the two variables appears to be related, at least in part, to time and the stage of diffusion. The research suggests that current models of EUC management (and thus organizational learning about information technology) may be too simplistic. Suggestions for developing more general models of the process are offered

Information systems evaluation: Navigating through the problem domain

Information systems (IS) make it possible to improve organizational efficiency and effectiveness, which can provide competitive advantage. There is, however, a great deal of difficulty reported in the normative literature when it comes to the evaluation of investments in IS, with companies often finding themselves unable to assess the full implications of their IS infrastructure. Although many of the savings resulting from IS are considered suitable for inclusion within traditional accountancy frameworks, it is the intangible and non-financial benefits, together with indirect project costs that complicate the justification process. In exploring this phenomenon, the paper reviews the normative literature in the area of IS evaluation, and then proposes a set of conjectures. These were tested within a case study to analyze the investment justification process of a manufacturing IS investment. The idiosyncrasies of the case study and problems experienced during its attempts to evaluate, implement, and realize the holistic implications of the IS investment are presented and critically analyzed. The paper concludes by identifying lessons learnt and thus, proposes a number of empirical findings for consideration by decisionmakers during the investment evaluation process

Crummer SunTrust Portfolio Recommendations: Crummer Investment Management

The following report will walk you through this analysis beginning with an economic outlook, which in turn influences our portfolio design. The designated sector analysts then assess the portfolio holdings of each sector and determine whether the positions align with our forecast. This assessment includes a broad sector outlook, as well as a fundamental outlook for each individual holding. The decision to buy, hold, or sell is based on the sector analysts’ valuation. Finally, the report concludes with an overall portfolio assessment given the proposed changes supported by mean variance efficiency and a value at risk diagnosis

Information technology innovation diffusion: an information requirements paradigm

Information technology (IT) innovation research examines the organizational and technological factors that determine IT adoption and diffusion, including firm size and scope, technological competency and expected benefits. We extend the literature by focusing on information requirements as a driver of IT innovation adoption and diffusion. Our framework of IT innovation diffusion incorporates three industry-level sources of information requirements: process complexity, clock speed and supply chain complexity. We apply the framework to US manufacturing industries using aggregate data of internet-based innovations and qualitative analysis of two industries: wood products and beverage manufacturing. Results show systematic patterns supporting the basic thesis of the information processing paradigm: higher IT innovation diffusion in industries with higher information processing requirements; the salience of downstream industry structure in the adoption of interorganizational systems; and the role of the location of information intensity in the supply chain in determining IT adoption and diffusion. Our study provides a new explanation for why certain industries were early and deep adopters of internet-based innovations while others were not: variation in information processing requirements.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/72203/1/j.1365-2575.2007.00260.x.pd