Sentence examples for simulated interactions between from inspiring English sources

In order to improve the assessments of future forest trajectories, our objectives here were (i) to operationalize and describe the coupling of human and natural systems in the context of landscape-scale forest ecosystem management, and (ii) to demonstrate simulated interactions between the social and ecological spheres in the context of adaptation to a changing climate.

Using a computer to study the same question, a team led by ecologist Anthony Ives of the University of Wisconsin simulated interactions between species and how they cope with unpredictable environmental events.

In this article, we discuss the implementation of several computational techniques that are commonly employed to simulate interactions between biomaterials and cellular systems.

We simulate interactions between charged flat surfaces in the presence of block polymers, where the end blocks carry a charge opposite to the surfaces.

In this chapter, we discuss the implementation of several computational techniques that are commonly employed to simulate interactions between biomaterials and cellular systems.

The model is useful for simulating interactions between crystals, ultra-short laser pulses, intense relativistic electron bunches, plasmas, or any combination thereof.

In the second case study, we incorporated a dynamic ungulate population model to simulate interactions between the moose population and boreal forest landscape of Isle Royale National Park, USA.

Based on the validation of tsunami force and shelter motions with experimental results, the numerical results indicated that the model can simulate interactions between tsunami wave and shelter in fixed and mooring case.

Kinetically-controlled reversible solid-water mass exchange models are adopted to simulate interactions between suspended sediments and bulk water, as well as the mass exchange between bed sediments and pore water.

An agent-based model is a computational model which simulates interactions between agents in a given static or dynamic environment in order to evaluate the system as a whole [18, p. 172 216].

The BEEHAVE model is a suitable tool to investigate this complexity because it integrates in-hive processes and foraging activities to simulate interactions between colony and environment.