Sentence examples for modelling in ecology from inspiring English sources

To avoid this ambiguity, we prefer to use the expression "Individual Based Models", which originally comes from modelling in ecology.

This review provides an overview of the state of the art of Spatial Simulation modelling in Ecology, reviews its limitations and open issues and it discusses future research avenues by taking an explicit geospatial perspective.

Such tools to support modelling in the domain of landscape ecology can achieve a balance between the flexibility of programming and the structure and ease of using pre-built models.

Stochastic models in ecology are among the most mathematically complex models in science.

The population models in ecology and biology are generally confirmed by such equations (see, for instance, [9, 14 16]).

The chapter provides an overview, with examples from early methods, for spatial modeling in ecology leading to the state-of-the-art models with current applications.

A new, fortran-based, simulation environment called FEMME (Flexible Environment for Mathematically Modelling the Environment), designed for implementing, solving and analysing mathematical models in ecology is presented.

More broadly, many population models in ecology implicitly recognize the importance of accounting for storage mechanisms to describe the dynamics of individual organisms.

We study a time dependent partial differential equation (PDE) which arises from classic models in ecology involving logistic growth with Allee effect by introducing a discrete weak solution.

The expensive computational cost of sensitivity analyses has hampered the use of these techniques for analysing individual-based models in ecology.

Also, the governing equations in the problems of biological sciences, such as spreading of disease by the dispersal of infectious individuals, the reaction-diffusion models in ecology to estimate the speed of invasion etc., are integro-differential equations.