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Watershed Management Planning
    Environmental Statistical Consulting

Watershed Management Planning
Urban, industrial and agricultural development has led to severe changes to streams which drain these altered landscapes. The lakes, wetlands and estuaries these streams flow to can suffer adverse effects of nutrient enrichment, siltation, and hydrologic modifications. Among the many changes to watersheds which land development brings about are:
More rapid runoff and greater runoff volumes alter stream channels, erode banks, and redeposit materials in downstream lakes, wetlands and estuaries
  Less topsoil for productive agriculture
  Degradation of receiving waters from accumulation of sediment, nutrients, and other pollutants, in some cases to the point of massive hypoxia, fishkills, and economic losses
  Loss of sensitive plant and animal species and diminished biodiversity

Baetis Environmental Services, Inc. approaches watershed management planning through the systematic identification of watershed stressors. Identification is followed by technical and economic evaluation of feasible solutions. A typical watershed diagnosis includes:
Assembly and analysis of existing information
  Design of a program to collect new data to complete our understanding of the watershed, including land use/land cover, water quality, soils, fish and macroinvertebrate communities, plankton, vascular plants, or geomorphic data
  Estimation of point and nonpoint pollutant loadings to and from the system
  Analysis of interrelationships between biotic and abiotic features
  Identification of major sources of pollutants and other stressors
  Recommendation of mitigation measures, both structural and political

Baetis would be pleased to discuss its approach to diagnosing watershed health with you or your stakeholder group. Contact Baetis' Principal Environmental Scientist, David B. Pott, to arrange a visit.

Environmental Statistical Consulting

Baetis Environmental Services, Inc. has skilled statisticians to support our clients’ endeavors. From experimental design, to data mining, to regression modeling, Baetis has the experience to answer key questions and add value to environmental investigations:
- How many samples should be taken to characterize site contamination with 95% confidence?
- Are post-project conditions significantly different from pre-project conditions?
- Which environmental conditions influence the density or diversity of a macroinvertebrate population?
- What is the expected response of a biological community to changes in factor “X”?
- Is contamination significantly higher in one area than another?

Baetis strives to represent the statistical results from field or laboratory data in a way that is easy to interpret by statisticians and non-statisticians alike. Baetis believes in a team approach to problem solving; this may include the field technicians, equipment manufacturers, and/or modelers and non-statistical personnel in the final interpretation of the data and development of recommendations to clients.

Baetis offers experience in analysis of large and small data sets, univariate and multivariate data,
and categorical and continuous variables. Statistical analytical services include:
Multivariate Analysis
  Linear Regression
  Logistic Regression
  Analysis of Repeated Measures
  Generalized Linear Models
  Sample Size and Power
  Non-parametric Analysis
  Analysis of Variance (ANOVA)
  Analysis of Covariance (ANCOVA)
  Multiple Pairwise Comparison
  Meta Analyses
  Sampling and Stratification