AESC40180

The core principles required in the quantitative analysis, interpretation and communication of ecological data are described. Emphasis is placed on the use of generalized linear models to evaluate relationships between univariate response variables (e.g. specific population abundance) and ecological drivers (e.g. management factors), and on the use of multivariate methods to evaluate and compare the influence of environmental factors on plant and animal communities. In addition, generalized linear mixed models usage and applications will be covered. Empirical datasets are provided and worked examples used in classes that will not assume significant levels of prior knowledge. Emphasis will be placed on how the described methods are used for practical management. All practicals are conducted through R.