Statistics for Natural Resources provides statistical design and analysis for monitoring and managing natural resources.
Don Stevens stevens [at] science.oregonstate.edu
Director of StatNat and Associate Professor of Statistics at Oregon State University. Her expertise is in modeling dependent data and simulating realistic ecological data. She has contributed to ODF's RipStream project and OWEB's Coho monitoring project, among others. madsenl [at] onid.oregonstate.edu
Faculty research assistant in the Statistics Department at Oregon State University and has many years of experience analyzing environmental data. She enjoys doing community data analysis, classification and regression trees, multivariate statistics and data analysis and programming in R. sifneos [at] science.oregonstate.edu
Coastal Coho Monitoring--StatNat has been providing sampling design and analysis support to the Oregon Department of Fish and Wildlife's Coastal Coho Monitoring project for several years. Specific projects involve assessing trend in Coho Salmon populations over time, panel design for monitoring Coho and imputation of missing panel data.
Mapping Coastal Coho Abundance--StatNat has been working with Oregon Department of Fish and Wildlife to produce predictions of Coho abundance based on a probability sample of locations along the Oregon Coast. The goal is to give the ODFW personnel statistical code which predicts Coho abundance across years and can be used to produce maps incorporating the predictions of Coho abundance and a measure of their uncertainty.
Master Sample Website--A master sample tracking and management website is being developed by StatNat to draw a master sample for Oregon. A master sample is a full list of sites that could be potentially sampled and structured so that a user could select a subset from the full list and retain the principle of randomization and spatial balance in the subset of sites selected (Larsen et al. 2008).
Such a system will allow users to know who else has selected sites from the master sample covering stream networks in their domains; to design individual or integrated monitoring programs; to know how existing sites relate to a common master sample; to document and share with others what they are collecting at the site over time and to do basic analyses of the data collected from the master sample. (Reference: Larsen, D.P., A.R. Olsen, and D.L. Stevens, Jr. Using a master sample to integrate stream monitoring programs, Journal of Agricultural, Biological, and Environmental Statistics (2008) 13:243-254.)
Riparian Function and Stream Temperature monitoring project (RipStream)--StatNat provides analytical support for the Oregon Department of Forestry's Riparian Function and Stream Temperature monitoring project. This project evaluates the effectiveness of Oregon's stream protection rules under the Forest Practices Act, which includes ensuring that forest operations meet state water quality standards adopted under the federal Clean Water Act.
Sage-grouse population monitoring--StatNat has been working with Oregon Department of Fish and Wildlife to monitor Sage-grouse populations. Sage-grouse were once found in most sagebrush habitats east of the Cascades, though European settlement and conversion of sagebrush steppe into agricultural production led to extirpation of the species in the Columbia Basin by the early 1900s. Within the extant range of Oregon, spring population indices have demonstrated an overall decline since the 1940s; however, population indices over the last decade suggest stable or increasing populations. To refine population indices monitoring efforts have increased, and ODFW has been following a population monitoring protocol so data quality is consistent and comparable from district to district.
Ferguson, J., J. Romer, J. Sifneos, L. Madsen, C. Schreck, M. Glynn, M. Kent. 2011. Impacts of multispecies parasitism on juvenile coho salmon (Oncorhynchus kisutch) in Oregon. Aquaculture. To appear.
Eskelson, Bianca N.I., Madsen, L., Hagar, J., and Temesgen, H. (2011) Estimating riparian understory vegetation cover with beta regression and copula models, Forest Science. To appear.
Groom, J., Dent, L., and Madsen, L. (2011) Stream temperature change detection for state and private forests in the Oregon Coast Range, Water Resources Research, 47 W01501, doi:10.1029/2009WR009061.
Groom, J., Dent, L., Madsen, L., and Fleuret, J. (2011) Response of western Oregon stream temperatures to contemporary forest management, Forest Ecology and Management. To appear.
EPA's Aquatic Resources Monitoring--https://www2.epa.gov/aboutepa/about-national-health-and-environmental-effects-research-laboratory-nheerl Provides information on monitoring of aquatic resources in the US, primarily focused on design and analysis of probability based surveys. Includes links to R package spsurvey. https://www2.epa.gov/aboutepa/about-national-health-and-environmental-effects-research-laboratory-nheerl
Oregon Watershed Enhancement Board funds monitoring projects proposed by eligible partners within the state of Oregon. Funded monitoring projects may include: gathering baseline data on current conditions in a watershed, evaluating the specific eforts of management actions or comparing similar watershed components before and after a project. To see current monitoring grants, see: OWEB webpage
EPA star grant "Designs and Models for Aquatic Resource Surveys" http://www.stat.oregonstate.edu/
TIES North American Regional Meeting on Measuring, Monitoring, and Modeling Environmental Resources, held in Corvallis, Oregon, June 15–17, 2009--