Sigrunn Eliassen

TL;DR: A proposed standard protocol for describing IBMs and ABMs, developed and tested by 28 modellers who cover a wide range of fields within ecology, and considered as a first step for establishing a more detailed common format of the description of IBm and ABM.

TL;DR: The selection pressures on growth and the resultant evolution of growth from a mechanistic viewpoint are explored and the prevailing expectation that fishing-induced evolution should always lead to slower growth is challenged.

TL;DR: This work examines how foragers may benefit from utilizing a simple learning rule to update estimates of temporal changes in resource levels, in the model which assumes initial expectation of resource conditions and rate of replacing past information by new experiences are genetically inherited traits.

TL;DR: It is argued that the results from a randomized controlled experiment show that a mobile-learning tool and a digital version of a textbook are perceived as more novel than a traditional textbook, however, only the mobile- learning tool enhances the students' basic psychological needs.

TL;DR: This work maps the ecological landscape for the evolution of learning under a range of conditions, including both spatial and temporal heterogeneity, and compares the learning strategy with genetically fixed patch‐leaving rules and with strategies of foragers that have free and perfect information about their environment.