Representing the acquisition and use of energy by individuals in agent‐based models of animal populations

By Richard Sibly, Volker Grimm, B. Martin, Alice S. A. Johnston, K. Kułakowska, C. Topping, P. Calow, J. Nabe‐Nielsen, Pernille Thorbek, D. DeAngelis. 2013

169 citations recorded by the source corpus.

Subfields: Ecology, Global and Planetary Change, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/57527bf0f417f1dd02daf48c34d37be05c00974e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecology

1. Stefan Gößling-Reisemann
2. F. Mark
3. H. Poertner
4. Hauke Reuter
5. S. Koenigstein

In Global and Planetary Change

1. Stefan Gößling-Reisemann
2. F. Mark
3. H. Poertner
4. Hauke Reuter
5. S. Koenigstein

In Nature and Landscape Conservation

1. Stefan Gößling-Reisemann
2. F. Mark
3. H. Poertner
4. Hauke Reuter
5. S. Koenigstein

Citations in the corpus

• Modelling climate change impacts on marine fish populations: process-based integration of ocean warming, acidification and other environmental drivers (2016, methodology): “The integration of energy budget 595 models into IBMs allows more detailed upscaling of individual-level processes to 596 population level (Hölker and Breckling, 2005, Sibly et al., 2013), and for DEB-IBM 597 integration a software framework is available (Martin et al., 2011, Martin et al., 2013).”