Papers in the Biological Sciences
ORCID IDs
Date of this Version
2019
Citation
Ecological Modelling 406 (2019) 80–83.
Abstract
Condensed Abstract
Climate is changing globally and its impacts can arise at different levels of biological organization; yet, cross-level consequences of climate change are still poorly understood. Designing effective environmental management and adaptation plans requires implementation of mechanistic models that span the biological hierarchy. Because biological systems are inherently complex and dynamic in nature, dealing with complexities efficiently necessitates simplification of systems or approximation of relevant processes, but there is little consensus on mathematical approaches to scale from genes to populations. Here we present an effort that aims to bring together groups that often do not interact, but that are essential to illuminating the complexities of life: empirical scientists and mathematical modelers, spanning levels of biological organization from genomes to organisms to populations. Through interplay between theory, models, and data, we aim to facilitate the generation of a new synthesis and a conceptual framework for biology across levels.
Included in
Biology Commons, Finance and Financial Management Commons, Other Ecology and Evolutionary Biology Commons, Public Economics Commons
Comments
Copyright 2019, Elsevier. Used by permission.