The Program proposed here will involve a spectrum of personnel with a variety of skills, many with experience very closely related to the objectives set out in the RFA.
N. SCOTT URQUHART (CSU) - Co-principal Investigator of the program, is a research professor at CSU. He has worked as an applied statistician with ecologists and in agricultural experiment stations, and has taught graduate statistical methods at Cornell University and New Mexico State University. He has supervisory and project management experience, primarily in academia, where he served as acting department head for nearly a year. For the past 10 years, he has held a research appointment in statistics at OSU funded to cooperate with EMAP. He has managed budgets for up to ten professionals and several graduate students. He has developed the trend detection perspective of EMAP, and worked with the development of many indicators. He has worked with ecologists and environmental scientists since he was an undergraduate at CSU in 1960. Dr. Urquhart, also a Fellow of the American Statistical Association, was awarded the Distinguished Achievement Medal by the Section on Statistics and the Environment of the American Statistical Association in 1994.
RICHARD A. DAVIS (CSU) - Co-Principal Investigator of the Program, is a professor and chair, Department of Statistics. He has substantial training and experience in time series analysis, and has extended those perspectives to spatial statistics. He, in collaboration with Robin Reich, teaches an advanced course in spatial statistics. The software developed for this course and made available on the web, has generated substantial interests among its users. He has substantial administrative experience in his position as department chair. In the program proposed here, he will assist with administration of the program and actively participate in Project 1 .
JENNIFER A. HOETING (CSU) - Principal Investigator, Project 1 , is an assistant professor of statistics. Her professional interests lie mainly in Bayesian hierarchical modeling. Her main research emphasis has been in developing methods for improving assessment of predictive uncertainty via Bayesian model averaging. Her recent research focus has been on developing methodology for modeling spatially correlated data. She has applied her expertise to a variety of problems, including modeling sandbar size in the Grand Canyon for the National Park Service, predicting presence/absence of rare species for the National Forest Service, and assessing mercury in lakes in Maine, the latter based in REMAP data, and in collaboration with Anthony Olsen of EPA.
F. JAY BREIDT (CSU) - Principal Investigator, Project 2 , is an associate professor with expertise in time series and survey sampling. He recently came to CSU from Iowa State University. As part of the Survey Section of Iowa State's Statistical Laboratory, he worked extensively on design and estimation for surveys of ecological conditions and trends, including the National Resources Inventory. He has an interest in the local prediction problem from both a model-based perspective, as in this proposal, and in model-assisted inference, for small area estimation under the separate proposal being submitted by OSU for area 1.
DAVID M. THEOBALD (CSU) - Principal Investigator, Project 3 , is a Research Scientist, Natural Resource Ecology Laboratory at CSU. He has applied his training in geography to a variety of natural resource and environmental problems in the six years since his doctorate. He will provide the team's geographic perspective so that the work on spatial statistics can proceed in a suitable and relevant relation to the associated landscapes. His past work has been mainly in a terrestrial context; he welcomes the opportunity to expand that into an aquatics context. He will supervise a post-doctoral fellow in landscape ecology who will help define, develop and participate in the evaluation of landscape indicators, and will provide the team's expertise in managing large data bases.
HARIHARAN K. IYER (CSU) - Principal Investigator, Project 4 , is a professor of statistics. He has interests and experience in linear models, experimental design, environmental statistics, and in the communication of statistical concepts to various audiences, and at various levels. He has developed and implemented web-based and web-assisted distance courses. With the help of a graduate student, he is currently developing tools for web-based computing related to analysis of data from mixed linear models. He also has worked closely with the National Park Service in assessing environmental air quality.
DON L. STEVENS, Jr (OSU) has supervisory and project management experience, both in academia and contract research. While at Eastern Oregon State University, he was Area Coordinator for Mathematics and Computer Science, and a Principal Investigator on a cooperative agreement from EPA to develop the sampling design for the Direct-Delayed Research Project. Subsequently, he has held positions as a General Supervisor and Project Manager for two on-site contractors at the USEPA Laboratory in Corvallis. In these roles, he has supervised an interdisciplinary staff of up to 14 persons, and managed projects on spatial sampling, development of indicators of forest health, ecoregion development, aquatic monitoring, and development of condition indicators for lakes and streams. He will serve as the director of the other program solicited by the RFA to which this proposal responds, and an investigator on Project 1 of this proposal.
ALIX I. GITELMAN (OSU) is an assistant professor who recently completed a doctorate in statistics with emphasis in hierarchical analysis, although her work was not on environmental problems. She will actively participate in the work on Project 1 , in active collaboration with personnel at CSU. As beginning assistant professor at OSU, she expects to gain substantial exposure to environmental statistics, experiencing some of the same developmental opportunities as post-doctoral fellows have. If the OSU proposal is funded she will participate in the regular interactions planned there, too. This will give her a balanced view between the design-based and model-based views of the two programs.
STEPHEN B. WEISBERG (SCCWRP) is a biologist who specializes in the design and implementation of environmental monitoring programs. Dr. Weisberg joined SCCWRP as its Executive Director in September 1996. His present research efforts focus on the development of coordinated, integrated, cost-effective regional monitoring in the Southern California Bight. He will provide access to valuable data sets, and be a interface between the academic researchers of the proposed Program, and potential users of the methods to be developed.
ROBIN M. REICHT (CSU) is an associate professor of forest science with training and experience in forest biometry. He has applied spatial statistics to a variety of ecological problems, and has made extensive use of landscape scale information, such as will be developed on Project 3. As a team member he will advise on that project, but his major efforts will be on Project 1 in providing a knowledgeable link between the needs of the potential user community and the research statisticians.
KERRY J. RITTER (OSU and SCCWRP) will complete her doctorate in environmental statistics at OSU while this proposal is being considered at EPA; there after she will assume a position at SCCWRP, a major cooperator in this Program. Her research has focused on defining parameters related to species richness, or more generally to taxonomic richness - the approachable and related concept for macroinvertebrates in streams. Her current work has focused on site-level matters; in Project 3, she will extend her work to the regional scale. Further she will provide knowledgeable access to the near-coastal data-base assembled by SCCWRP. She also will provide a setting to test some of the ideas developed in Project 1 . Collaboration with this program will allow her continued professional development in much the same way as the post-doctoral fellows, an opportunity welcomed by her director at SCCWRP.
JIM C. LOFTIS (CSU) is a professor of civil engineering who has collaborated with Dr.Iyer in the teaching of a course in environmental statistics having a somewhat aquatic orientation. He has over 20 years of experience in the field of water quality monitoring and environmental statistics, including research with EPA on trend analysis for the National Lake Survey. Although his funding in this program is in the outreach, Project 4 , his experience with water and environmental matters will be invaluable as a team member.
ALAN T. HERLIHY(OSU) is trained in environmental science and is quite familiar with environmental water chemistry. He has had a major role in organizing EMAP=s data bases. He has been associated with EMAP since its inception. His aquatics background, understanding of statistical issues, familiarity with EMAP¹s data bases, and awareness of state, and local agency needs, will be invaluable to the Program. His skills and knowledge will be available to all of the projects by his funding under this Program.
In addition to the investigators funded by the Program, we have agreements with several organizations to collaborate with the Program, especially in the knowledge transfer arena. The collaboration will take several forms, depending on the particular situation. In some cases, the collaboration will have aquatic scientists from the outside organization working closely with a statistician within the Program. Their object will be to apply statistical methodology to a aquatic monitoring issue.
For example, one such collaboration will be with the Oregon Department of Fish and Wildlife (ODFW). ODFW has been collecting information on the number of returning salmon in Oregon coastal streams for decades. Since 1997, the information has been collected using a rotating panel design, set up for ODFW with the assistance of EMAP Surface Waters (Stevens, 2000). The ultimate objectives of the study are to assess the annual numbers of returning Coho salmon, and to determine trends in those numbers. A letter expressing the support of ODFW is attached to the Integration and Coordination Research Plan.
Other organizations which have expressed willingness to collaborate with the Program include The San Francisco Estuary Institute, California State Water Resources Board, and the Miccosukee Indian Tribe. The Program Director has an established working relationship with one or more individuals in each of these organizations.
In each case, the organization has agreed to collaborate with the Program by providing the subject matter expertise in identifying and articulating the scientific and policy questions, scientific insight in model formulation, and access to their data sets for model parameter estimation. Letters of support from each of these organizations are attached to the Integration and Extramural Outreach Research Plan. Some of the scientists who have agreed to collaborate with us include
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