Experimental designs; a review

Title:

Resource Type:

document --> technical publication --> report

Country:

EU Projects

Year:

2002

Author 1/Producer:

Paequann Consortium

Author / Producer Type:

EC Project

Report / download web link (=direct link):

http://aquaeco.ups-tlse.fr/index2.htm

Format (e.g. PDF):

PDF

Size: (e.g. 20mb)

0.7

EUGRIS Keyword(s):

Water resources and their management -->Water resources and their management Overview

Short description:

The PAEQANN project reviews current ecological theories which can help identify suitable models to predict community structure in aquatic ecosystems and examine how results add to ecological water management objectives. To reach these goals a number of classical statistical models, artificial neural networks and dynamic models are presented. This report introduces and explains all of them, including an assessment of their advantages and disadvantages.

Link to Project(s):

PAEQANN Predicting Aquatic Ecosystem Quality using Artificial Neural Networks: Impact of Environmental characteristics on the Structure of Aquatic Communities (Algae, Benthic and Fish Fauna).

Submitted By:

Dr Stefan Gödeke WhoDoesWhat? Last update: 19/07/2007