in the present study, classification trees (cts-j48 algorithm) were used to study the occurrence of roach in rivers in flanders (belgium). the presence/absence of roach was modelled based on a set of river characteristics. the predictive performance of the cts models was assessed based on the percentage of correctly classified instances (cci) and cohen's kappa statistics. to find the best model...

some scientists are interesting to study in area of harvested ecological modelling. the harvested population dynamics is more realistic than other ecological models. in the present paper, some of the lotka-volterra predator-prey models have been considered. in the said models, existing species are harvested by constant or variable growth rates. the behavior of their solutions has been analyzed ...

support vector machine (svm) was used to analyze the occurrence of roach in flemish stream basins (belgium). several habitat and physico?chemical variables were used as inputs for the model development. the biotic variable merely consisted of abundance data which was used for predicting presence/absence of roach. genetic algorithm (ga) was combined with svm in order to select the most important...

Some scientists are interesting to study in area of harvested ecological modelling. The harvested population dynamics is more realistic than other ecological models. In the present paper, some of the Lotka-Volterra predator-prey models have been considered. In the said models, existing species are harvested by constant or variable growth rates. The behavior of their solutions has been analyzed ...

Ecological informatics (ecoinformatics) is an interdisciplinary framework for the management, analysis and synthesis of ecological data by advanced computational technology [1]. Management of ecological data aims at facilitating data standardization, retrieval and sharing by means of metadata and object-oriented programming [2–6]. Analysis and synthesis of ecological data aim at elucidating pri...

The paper focuses on two large application areas of the Fuzzy Set Theory in ecological research, namely data analysis (in particular fuzzy cluster analysis and fuzzy kriging) and ecological modelling. Environmental data or classes of ecological objects can be defined as fuzzy sets with not sharply defined boundaries, that reflects better the continuous character of nature. Fuzzy sets are used t...

Operational models of economic activity, particularly at the farm scale, have become commonly used, and widely accepted methods and applications exist. Operational models of ecological systems probably have less of a history but processes of species interaction and succession are well documented. Relationships between economic farm-scale variables and resultant ecological diversity, however, ar...

A recent philosophical literature has developed a taxonomy of scientific explanations, models, and the two basic research programmes that produce them. The first programme takes some capacity system maps out how it works by breaking down into various sub-capacities, each with their own distinct characteristics. end goal is functional model, ‘how-possibly’ box-and-arrow type map organisation cap...

The purpose of ecological niche modelling is to obtain a probabilistic species distribution based on species localization and environmental data. The problem is highly complex from the architectural viewpoint because its requirements include different distributed, interoperable and integration issues. Monolithic solutions were proposed and implemented but they were not able to achieve all requi...