INCREASED RESERVOIR BENEFITS: THE CONTRIBUTION OF SOIL CONSERVATION PROGRAMS

The objective of this research is to value soil conservation's impact on reservoirs. Using a model based on replacement cost, we estimate the benefits gained by marginal decreases in soil erosion for more than 75,000 reservoirs across the contiguous States. We aggregate benefits across the reservoirs within each of the 2,111 U.S watersheds in order to produce regional benefit estimates. Results show that a one-ton reduction in soil erosion provides benefits ranging from zero to $1.67. Our estimated model can be used to assess conservation benefits. For example, the lower level of soil erosion in 1997, relative to the 1982 level, preserved$139 million in reservoir benefits.Environmental Economics and Policy,

Better Targeting, Better Outcomes

A multitude of design decisions influence the performance of voluntary conservation programs. This Economic Brief is one of a set of five exploring the implications of decisions policymakers and program managers must make about who is eligible to receive payments, how much can be received, for what action, and the means by which applicants are selected. The particular issue addressed here is options for targeting program payments to where they can yield the greatest gain.Agricultural and Food Policy, Environmental Economics and Policy,

VALUING MARGINAL CHANGES IN THE QUALITY OF AN ENVIRONMENTAL ASSET

We present a model that extends the replacement cost theory to cases where benefits are restored for multiple years. Our theoretical framework derives a functional relationship between investments expenditures and environmental benefits. By extending the investment framework, we model reservoir benefits as a function of marginal changes in soil erosion.Environmental Economics and Policy,

Economic Valuation of Environmental Benefits and the Targeting of Conservation Programs: The Case of the CRP

The range of environmental problems confronting agriculture has expanded in recent years. As the largest program designed to mitigate the negative environmental effects of agriculture, the Conservation Reserve Program (CRP) has broadened its initial focus on reductions in soil erosion to consider other landscape factors that may also be beneficial. For example, preserving habitats can help protect wildlife, thus leading to more nature-viewing opportunities. This report demonstrates how nonmarket valuation models can be used in targeting conservation programs such as the CRP.Environmental Economics and Policy,

Short-term Training Effects of Dynamic Warm Up Volume on Speed, Power, and Agility

This study examined the short-term training effects of two volumes of a dynamic warm up performed 4 days per week over a 3 1/2-week period. A total of 25 Division III wrestlers volunteered for the study. Three participants either dropped out or were unable to attend post-testing, resulting in 22 total participants completing the study. Groups were divided into control, low volume, and high volume groups. All participants completed pre and poststudy performance tests including the standing long jump, proagility, start-stop-cut, and 30- meter sprint. The low and high volume training groups each performed the same dynamic warm up prior to each pre-season captain's practice. The control group did not participate in an organized warm up. The low volume group performed one set of each warm up exercise, and the high volume group performing two sets of each warm up exercise. Data analysis indicated significant increases in performance for the standing long jump (p = .011) and start-stop-cut (p = .000) measures among the entire sample population. However, there was no significant difference between the groups in these measures. No significant results were found either for the sample as a whole or between groups for the proagility and 30-meter measures. The increased performance of all groups, including the control group, fails to provide evidence for the effectiveness of training with either warm up volume. Further research is needed to address limitations of this study to determine effectiveness of various warm up volumes

Factors That Influence the Association Between Adult Attachment and Marital Satisfaction

Adult attachment theory offers a promising conceptual framework for understanding the psychological and contextual factors that contribute to marital satisfaction. A consistent association has been found between adult attachment dimensions and marital satisfaction. The current study examined several mediating mechanisms that may explain the relationship between adult attachment dimensions and marital satisfaction. Specifically, relationship expectations, four types of responses to accommodative dilemmas (exit, neglect, voice, and loyalty), and three forms of empathy (empathic concern, perspective taking, empathic personal distress) were hypothesized to mediate the relationship between adult attachment and marital satisfaction. Self-report data were collected from both partners of 193 heterosexual, married couples. The attachment dimension of avoidance for husbands and wives was consistently associated with each couple member\u27s respective marital satisfaction. Attachment anxiety was never directly associated with either husbands\u27 or wives\u27 marital satisfaction. Wives\u27 marital satisfaction was explained by their own relationship expectations and exit responses. Additionally, wives\u27 marital satisfaction was explained by their husband\u27s relationship expectations, exit responses, empathic perspective taking, and loyalty responses. Husbands\u27 marital satisfaction was explained by their own relationship expectations, exit responses, neglect responses, voice responses, loyalty responses, and empathic perspective taking. Results are discussed in light of current theories of adult attachment and marital satisfaction

Implementing Rural-Urban Disaggregated Food Demand in a Partial Equilibrium Model

Global general and partial equilibrium models focused on the agricultural sector can help policy makers do ex-ante analysis by providing a variety of macro-level outcomes, such as changes in flows of international trade, and changes in the supply, demand, and prices of globally traded commodities. IFPRI’s IMPACT model (International Model for Policy Analysis of Agricultural Commodities and Trade) model is one such model. Since its inception nearly 20 years ago the model has evolved to inform increasingly complex and nuanced policy issues, such as the explicit modeling of water use and the productive response of agriculture to climate change. However, on the demand side it has remained a fairly blunt instrument. One oft mentioned shortcoming of global food policy models such as IMPACT model is that they treat national populations as a single composite consumer. As (relatively) wealthier urban and poorer rural populations exhibit different demand characteristics, have different base levels of food consumption, and have different levels of wealth, assigning a single representative consumer for an entire country could result in misleading results regarding both global prices and consumption and the food security of the poorer segments of the population. In this poster we present a global partial equilibrium food security model with disaggregated demand. Working from the IMPACT model, we divided national populations into their urban and rural components. Studies have shown that rural and urban consumers, as well as poor and rich consumers, have structurally different food demands. Accordingly, we assign different demand elasticities (price and income), different base consumption (at the commodity level), and different incomes to sub-populations populations within each country.  We have completed an extensive study of the food demand literature, using the findings to develop parameters to represent the structural differences in urban and rural food demand (see right for explanation of this process). We use rural/urban population and income data and projections from the UN to complete the disaggregation.Partial Equilibrium Models, Disaggregated Food Demand, IMPACT model, Food Security, Agricultural and Food Policy, Demand and Price Analysis, Food Security and Poverty,

The Past and the Present: Stare Decisis in Wisconsin Law

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Networking chemical robots for reaction multitasking

The development of the internet of things has led to an explosion in the number of networked devices capable of control and computing. However, whilst common place in remote sensing, these approaches have not impacted chemistry due to difficulty in developing systems flexible enough for experimental data collection. Herein we present a simple and affordable (<$500) chemistry capable robot built with a standard set of hardware and software protocols that can be networked to coordinate many chemical experiments in real time. We demonstrate how multiple processes can be done with two internet connected robots collaboratively, exploring a set of azo-coupling reactions in a fraction of time needed for a single robot, as well as encoding and decoding information into a network of oscillating reactions. The system can also be used to assess the reproducibility of chemical reactions and discover new reaction outcomes using game playing to explore a chemical space