The design and implementation of effective environmental policies need to be informed by a
holistic understanding of the system processes (biophysical, social and economic), their …

A suite of “desirable features” for Environmental Decision Support Systems (EDSS) is
proposed by identifying the general attributes of environmental systems which are of …

Descriptive (statistical) models of forest growth cannot cope with changing environmental
and management conditions. Since explanatory models attempt to capture the essential eco …

This paper presents an object-oriented approach to ecological modelling, and develops the
underlying concepts into a structure which relates a set of “ecological” objects by means of a …

Because of the frequent inefficiency of classical mathematical modelling to help the human
operators in the supervision of biological processes, we present here a method based on …

A research was initiated in automated modelling of the ecosystem using deep knowledge
and machine learning techniques. The goal of the research is to show that using advanced …

We introduce a new modeling approach called meta-modeling and illustrate its practical
applicability to the construction of physically-based ecosystem process models. As a critical …

Recent advances in automated systems that handle spatial data have revolutionized the
way we represent distributions of plant and animal species. The traditional dot maps, grids …

Ecological understanding is often imprecise and heterogeneous; relationships between
different quantities and objects may only be expressed in roughly quantitative or even non …

Abstract" We journey to learn, yet in trovelling grow each day 1urthe. r and further from
where we began"-Wade Davis Taxonomies are prevalent in a multitude of fields, including …