references.bib

@article{van_den_brink_principal_1999,
	title = {Principal response curves: Analysis of time-dependent multivariate responses of biological community to stress},
	volume = {18},
	abstract = {In this paper a novel multivariate method is proposed for the analysis of community response data from designed experiments repeatedly sampled in time. The long-term effects of the insecticide chlorpyrifos on the invertebrate community and the dissolved oxygen ({DO)-pH-alkalinity-conductivity} syndrome, in outdoor experimental ditches, are used as example data. The new method, which we have named the principal response curve method ({PRC)}, is based on redundancy analysis ({RDA)}, adjusted for overall changes in community response over time, as observed in control test systems. This allows the method to focus on the time-dependent treatment effects. The principal component is plotted against time, yielding a principal response curve of the community for each treatment. The {PRC} method distills the complexity of time-dependent, community-level effects of pollutants into a graphic form that can be appreciated more readily than the results of other currently available multivariate techniques. The {PRC} method also enables a quantitative interpretation of effects towards the species level.},
	number = {2},
	journal = {Environmental Toxicology and Chemistry},
	author = {van den Brink, P. J. and ter Braak, C. J. F.},
	year = {1999},
	keywords = {Analysis, Auswertung, curves, mesocosms, Multivariate, Ordination, pesticides, principal, redundancy, response, techniques},
	pages = {138--148},
	file = {van den Brink_1999_ETC.pdf:/home/edisz/Documents/Literature/storage/6WGGDJUN/van den Brink_1999_ETC.pdf:application/pdf;Van den Brink_1999_ETC.pdf:/home/edisz/Documents/Literature/storage/C5FI3MPU/Van den Brink_1999_ETC.pdf:application/pdf}
}