An essential textbook for any student or researcher in biology needing to design experiments, sample programs or analyse the resulting data The text begins with a revision of estimation and hypothesis testing methods, covering both classical and Bayesian philosophies, before advancing to the analysis of linear and generalized linear models Topics covered include linear and logistic regression, simple and complex ANOVA models (for factorial, nested, block, split-plot and repeated measures and covariance designs), and log-linear models Multivariate techniques, including classification and ordination, are then introduced Special emphasis is placed on checking assumptions, exploratory data analysis and presentation of results The main analyses are illustrated with many examples from published papers and there is an extensive reference list to both the statistical and biological literature The book is supported by a website that provides all data sets, questions for each chapter and links to software

/pdf/experimental-design-and-data-analysis-for-biologists-8ybva8d53x.pdf

Experimental Design and Data Analysis for Biologists

Statistics for Spatial Data.

https://www.owrb.ok.gov/quality/standards/pdf_standards/scenicrivers/Smith,%20Tilman%20and%20Nekola%201999.pdf

Eutrophication: impacts of excess nutrient inputs on freshwater, marine, and terrestrial ecosystems

The science of the total environment

SWAT (Soil and Water Assessment Tool) is a comprehensive, semi-distributed river basin model that requires a large number of input parameters, which complicates model parameterization and calibration. Several calibration techniques have been developed for SWAT, including manual calibration procedures and automated procedures using the shuffled complex evolution method and other common methods. In addition, SWAT-CUP was recently developed and provides a decision-making framework that incorporates a semi-automated approach (SUFI2) using both manual and automated calibration and incorporating sensitivity and uncertainty analysis. In SWAT-CUP, users can manually adjust parameters and ranges iteratively between autocalibration runs. Parameter sensitivity analysis helps focus the calibration and uncertainty analysis and is used to provide statistics for goodness-of-fit. The user interaction or manual component of the SWAT-CUP calibration forces the user to obtain a better understanding of the overall hydrologic processes (e.g., baseflow ratios, ET, sediment sources and sinks, crop yields, and nutrient balances) and of parameter sensitivity. It is important for future calibration developments to spatially account for hydrologic processes; improve model run time efficiency; include the impact of uncertainty in the conceptual model, model parameters, and measured variables used in calibration; and assist users in checking for model errors. When calibrating a physically based model like SWAT, it is important to remember that all model input parameters must be kept within a realistic uncertainty range and that no automatic procedure can substitute for actual physical knowledge of the watershed.

/pdf/swat-model-use-calibration-and-validation-3yiyw8b1pn.pdf

SWAT: Model Use, Calibration, and Validation

https://cfpub.epa.gov/ncer_abstracts/index.cfm/fuseaction/display.files/fileID/13223

A Bayesian network of eutrophication models for synthesis, prediction, and uncertainty analysis

Lake and watershed management strategies and recent environmental legislation dictate that nonpoht nutrient sources associated with storm water runoff must be assessed. Accordingly, a nutrient flu assessment for phosphorus and nitrogen is conducted through an extensive literature review of nutrient export studies. These studies are reevaluated. The nutrient export coefficients are screened according to sampling design criteria and compiled according to land use. The ecological mechanisms within each land use influencing the magnitude of nutrient flux are also discussed

An Examination of Land-Use - Nutrient Export Relationships

Engineering approaches for lake management

The United States funds a number of national monitoring programs to measure the status and trends of ecological and natural resources Each of these programs has a unique focus; the scientific objectives are different as are the sample designs However, individuals and committees, all well aware of the cost of ecological monitoring, have called for more effective monitoring programs The objective of this paper is to summarize existing programs' statistical designs and discuss potential alternatives for improvement in national monitoring Can we improve the current situation by providing an overall framework for the design or analysis of data from these disparate surveys? First, the paper summarizes the objectives of these surveys, compares and contrasts their survey designs as currently implemented, and determines what variables they collect Through this process we identify commonalities and issues that impact our ability to combine information across one or more of the surveys Three potential alternatives are presented, leading to comprehensive monitoring in the United States

Kenneth H. Reckhow

Papers

A Bayesian network of eutrophication models for synthesis, prediction, and uncertainty analysis

An Examination of Land-Use - Nutrient Export Relationships

Engineering approaches for lake management

Statistical Issues for Monitoring Ecological and Natural Resources in the United States

Water quality simulation modeling and uncertainty analysis for risk assessment and decision making