scholarly journals Evaluating the Untapped Potential of U.S. Conservation Investments to Improve Soil and Environmental Health

Author(s):  
Andrea Basche ◽  
Katherine Tully ◽  
Nora L. Álvarez-Berríos ◽  
Julian Reyes ◽  
Laura Lengnick ◽  
...  

There is increasing enthusiasm around the concept of soil health, and as a result, new public and private initiatives are being developed to increase soil health-related practices on working lands in the United States. In addition, billions of U.S. public dollars are dedicated annually toward soil conservation programs, and yet, it is not well quantified how investment in conservation programs improve soil health and, more broadly, environmental health. The Environmental Quality Incentives Program (EQIP) is one of the major U.S. public conservation programs administered on privately managed lands for which public data are available. In this research, we developed a multi-dimensional classification system to evaluate over 300 EQIP practices to identify to what extent practices have the potential to improve different aspects of soil and environmental health. Using available descriptions and expert opinion, these practices were evaluated with a classification system based on the practice's potential to exhibit the following environmental health outcomes: (i) principles of soil health to reduce soil disturbance and increase agrobiodiversity; (ii) a transition to ecologically-based management to conserve soil, water, energy and biological resources; and (iii) adaptive strategy to confer agroecosystem resilience. Further, we analyzed nearly $7 billion U.S. dollars of financial assistance dedicated to these practices from 2009 through 2018 to explore the potential of these investments to generate environmental health outcomes. We identified nine practices that fit the highest level of potential environmental health outcomes in our classification systems. These included wetlands and agroforestry related practices, demonstrating that ecologically complex practices can provide the broadest benefits to environmental health. Practices with the greatest potential to improve environmental health in our classification system represent 2–27% of annual EQIP funding between 2009 and 2018. In fiscal year 2018, these practices represented between $13 and 121 million, which represented ~0.08% of total annual USDA expenditures. These classifications and the subsequent funding analysis provide evidence that there is tremendous untapped potential for conservation programs to confer greater environmental health in U.S. agriculture. This analysis provides a new framework for assessing conservation investments as a driver for transformative agricultural change.

2016 ◽  
Vol 31 (1) ◽  
Author(s):  
Rajendra Prasad

AbstractPatent classification systems have traditionally evolved independently at each patent jurisdiction to classify patents handled by their examiners to be able to search previous patents while dealing with new patent applications. As patent databases maintained by them went online for free access to public as also for global search of prior art by examiners, the need arose for a common platform and uniform structure of patent databases. The diversity of different classification, however, posed problems of integrating and searching relevant patents across patent jurisdictions. To address this problem of comparability of data from different sources and searching patents, WIPO in the recent past developed what is known as International Patent Classification (IPC) system which most countries readily adopted to code their patents with IPC codes along with their own codes. The Cooperative Patent Classification (CPC) is the latest patent classification system based on IPC/European Classification (ECLA) system, developed by the European Patent Office (EPO) and the United States Patent and Trademark Office (USPTO) which is likely to become a global standard. This paper discusses this new classification system with reference to patents on bioremediation.


1995 ◽  
Vol 40 (9) ◽  
pp. 507-513 ◽  
Author(s):  
Chantelle M Wellock

Objective This study evaluated the appropriateness of the Refined Group Number (RGN) classification system for funding psychiatric discharges in Alberta. Method Multiple regression was used to calculate the amount of variation explained (R2) in length of stay by RGNs for psychiatric discharges. The distribution of short-stay cases (less than 5 days) was also reviewed. Results The R2 value was higher than those from American studies (0.284 versus less than 0.10) for psychiatric discharges. The length of stay distribution by RGN indicated that the mean was not representative of typical cases. Short-stay cases made up the majority of cases from rural hospitals and had a negative impact on the average length of stay. Conclusions The RGN methodology performed better than diagnosis-based classification systems in the United States. However, there were significant weaknesses in the classification system which suggest that a funding system using the RGN grouper would result in inequitable funding for psychiatric discharges.


2017 ◽  
Vol 32 (3) ◽  
Author(s):  
Leigh-Anne Krometis ◽  
Julia Gohlke ◽  
Korine Kolivras ◽  
Emily Satterwhite ◽  
Susan West Marmagas ◽  
...  

AbstractHealth disparities that cannot be fully explained by socio-behavioral factors persist in the Central Appalachian region of the United States. A review of available studies of environmental impacts on Appalachian health and analysis of recent public data indicates that while disparities exist, most studies of local environmental quality focus on the preservation of nonhuman biodiversity rather than on effects on human health. The limited public health studies available focus primarily on the impacts of coal mining and do not measure personal exposure, constraining the ability to identify causal relationships between environmental conditions and public health. Future efforts must engage community members in examining all potential sources of environmental health disparities to identify effective potential interventions.


2019 ◽  
Vol 11 (1) ◽  
Author(s):  
Heather Strosnider ◽  
Patrick Wall ◽  
Holly Wilson ◽  
Joseph Ralph ◽  
Fuyuen Yip

ObjectiveTo increase the availability and accessibility of standardized environmental health data for public health surveillance and decision-making.IntroductionIn 2002, the United States (US) Centers for Disease Control and Prevention (CDC) launched the National Environmental Public Health Tracking Program (Tracking Program) to address the challenges in environmental health surveillance described by the Pew Environmental Commission (1). The report cited gaps in our understanding of how the environment affects our health and attributed these gaps to a dearth of surveillance data for environmental hazards, human exposures, and health effects. The Tracking Program’s mission is to provide information from a nationwide network of integrated health and environmental data that drives actions to improve the health of communities. Accomplishing this mission requires a range of expertise from environmental health scientists to programmers to communicators employing the best practices and latest technical advances of their disciplines. Critical to this mission, the Tracking Program must identify and prioritize what data are needed, address any gaps found, and integrate the data into the network for ongoing surveillance.MethodsThe Tracking Program identifies important environmental health topics with data challenges based on the recommendations in the Pew Commission report as well as input from federal, state, territorial, tribal, and local partners. For each topic, the first step is to formulate the key surveillance question, which includes identifying the decision-maker or end user. Next, available data are evaluated to determine if the data can answer the question and, if not, what enhancements or new data are needed. Standards are developed to establish data requirements and to ensure consistency and comparability. Standardized data are then integrated into the network at national, state, and local levels. Standardized measures are calculated to translate the data into the information needed. These measures are then publically disseminated via national, state, and local web-based portals. Data are updated annually or as they are available and new data are added regularly. All data undergo a multi-step validation process that is semi-automated, routinized, and reproducible.ResultsThe first set of nationally consistent data and measures (NCDM) was released in 2008 and covered 8 environmental health topics. Since then the NCDM have grown to cover 14 topics. Additional standardized data and measures are integrated into the national network resulting in 23 topics with standardized 450 measures (Figure). On the national network, measures can be queried via the Data Explorer, viewed in the info-by-location application, or connected to via the network’s Application Program Interface (API). On average, 15,000 and 3300 queries are run every month on the Data Explorer and the API respectfully. Additional locally relevant data are available on state and local tracking networks.Gaps in data have been addressed through standards for new data collections, models to extend available data, new methodologies for using existing data, and expansion of the utility of non-traditional public health data. For example, the program has collaborated with the Environmental Protection Agency to develop daily estimates of fine particulate matter and ozone for every county in the conterminous US and to develop the first national database of standardized radon testing data. The program also collaborated with the National Aeronautics and Space Administration and its academic partners to transform satellite data into data products for public health.The Tracking Program has analyzed the data to address important gaps in our understanding of the relationship between negative health outcomes and environmental hazards. Data have been used in epidemiologic studies to better quantify the association between fine particulate matter, ozone, wildfire smoke, and extreme heat on emergency department visits and hospitalizations. Results are translated into measures of health burden for public dissemination and can be used to inform regulatory standards and public health interventions.ConclusionsThe scope of the Tracking Program’s mission and the volume of data within the network requires the program to merge traditional public health expertise and practices with current technical and scientific advances. Data integrated into the network can be used to (1) describe temporal and spatial trends in health outcomes and potential environmental exposures, (2) identify populations most affected, (3) generate hypotheses about associations between health and environmental exposures, and (4) develop, guide, and assess the environmental public health policies and interventions aimed at reducing or eliminating health outcomes associated with environmental factors. The program continues to expand the data within the network and the applications deployed for others to access the data. Current data challenges include the need for more temporally and spatially resolved data to better understand the complex relationships between environmental hazards, health outcomes, and risk factors at a local level. National standards are in development for systematically generating, analyzing, and disseminating small area data and real-time data that will allow for comparisons between different datasets over geography and time.References1. Pew Environmental Health Tracking Project Team. America’s Environmental Health Gap: Why the Country Needs a Nationwide Health Tracking Network. Johns Hopkins School of Hygiene and Public Health, Department of Health Policy and Management; 2000.


2020 ◽  
Vol 61 (4) ◽  
pp. 379-400 ◽  
Author(s):  
H. G. Parsa ◽  
Barry K. Shuster ◽  
Milos Bujisic

In epistemological domains, classification systems play an integral part as tools of discovery and systematic exploration. Classifications are essential for the integrity and validity of any academic research and application of the research findings to that particular research context. Absence of classification systems limits the ability of a discipline to advance as a legitimate subject worthy of academic pursuit. Currently, in the United States, as noted by the National Restaurant Association, there is no standardized and official classification for the restaurant industry. Thus, the current study proposes a theoretically supported restaurant classification system based on the concept of hedonic and utilitarian consumption. The proposed classification system has been empirically tested in four different studies, including a panel of currently operating restaurateurs, food journalists specializing in restaurant industry, panel of hospitality educators, and restaurant customers. The proposed framework has received strong empirical support from all four selected groups. The obtained results suggest that this parsimonious system could be effectively used to classify the U.S. restaurant industry with the proposed four major classes: Luxury Restaurants, Fine-Dining Restaurants, Casual Restaurants, and Quick-Service Restaurants.


Author(s):  
Ella Inglebret ◽  
Amy Skinder-Meredith ◽  
Shana Bailey ◽  
Carla Jones ◽  
Ashley France

The authors in this article first identify the extent to which research articles published in three American Speech-Language-Hearing Association (ASHA) journals included participants, age birth to 18 years, from international backgrounds (i.e., residence outside of the United States), and go on to describe associated publication patterns over the past 12 years. These patterns then provide a context for examining variation in the conceptualization of ethnicity on an international scale. Further, the authors examine terminology and categories used by 11 countries where research participants resided. Each country uses a unique classification system. Thus, it can be expected that descriptions of the ethnic characteristics of international participants involved in research published in ASHA journal articles will widely vary.


Author(s):  
Adrienne Chute ◽  
◽  
P. Elaine Kroe ◽  
Patricia O'Shea ◽  
Maria Polcari ◽  
...  

2002 ◽  
Author(s):  
Adrienne Chute ◽  
P. Elaine Kroe ◽  
Patricia Garner ◽  
Maria Polcari ◽  
Cynthia Jo Ramsey

2020 ◽  
Vol 75 (1) ◽  
pp. 148-150 ◽  
Author(s):  
Andrea L. Oliverio ◽  
Lindsay K. Admon ◽  
Laura H. Mariani ◽  
Tyler N.A. Winkelman ◽  
Vanessa K. Dalton

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