Sentence examples for models in ecology from inspiring English sources

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]).

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.

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.

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

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.

The philosophies of pattern-oriented modeling in ecology and exploratory modeling in geophysics have yielded advances in theoretical and applied knowledge in both of those disciplines, but they are not comprehensive across all aspects of landscape-scale modeling.

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.

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

Otto, SP, Day, T: A Biologist's Guide to Mathematical Modeling in Ecology and Evolution.