The Evolution of Simple Life-Histories: Step Towards Classification

8017 13 13014 2 21031 document 13014 IR-06-083.pdf application/pdf 2dc3967a328f73f6c343e31e38f0f36a MD5 1314239 2016-01-15 08:38:51 https://pure.iiasa.ac.at/id/eprint/8017/1/IR-06-083.pdf 8017 1 1 text en public

IR-06-083.pdf

15 17187 2 28917 document 17187 lightbox.jpg image/png d81761edda8b4a359dcfb77de1a7ef9b MD5 15412 2016-01-15 12:12:28 https://pure.iiasa.ac.at/id/eprint/8017/2/lightbox.jpg 8017 2 2 image/png other Thumbnails conversion from text to thumbnail_lightbox en public

lightbox.jpg

preview.jpg

medium.jpg

small.jpg

indexcodes.txt

IR-06-083.pdf

http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/13014 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/13014 http://eprints.org/relation/isCoversheetVersionOf https://pure.iiasa.ac.at/id/document/13014 archive 351 disk0/00/00/80/17 2016-01-15 08:38:51 2021-08-27 17:19:34 2016-01-15 08:38:51 monograph show 2 Rueffler C. Van Dooren T.J.M. Metz J.A.J. 7506 The Evolution of Simple Life-Histories: Step Towards Classification pub iis_ecl prog_eep We present a classification of the evolutionary dynamics for a class of simple life-history models. The model class considered is characterised by discrete time population dynamics, density-dependent population growth, by the assumption that individuals can occur in two states, and that two evolving traits are coupled by a trade-off. Individual models differ in the choice of traits that are presumed to evolve and in the way population regulation is incorporated. The classification is based on a fitness measure that is sign equivalent to invasion fitness but algebraically simpler. We classify models according to curvature properties of the fitness landscape and whether the evolutionary dynamics can be analysed by means of an optimisation criterion. The first classification allows us to infer whether trait combinations that are characterised by a zero fitness gradient are susceptible to invasion by similar trait combinations. The second classification distinguishes models where evolutionary change is frequency-independent from models that give rise to frequency dependence. Given certain symmetry assumptions we can extend the classification in the latter case by splitting selection into a density-dependent and a frequency-dependent component. We apply our approach to several simple life-history models and demonstrate how our classification facilitates an analytical analysis. We conclude by discussing some general patterns that emerge from our analysis and by hinting at several possible extensions. 2006-12 published IR-06-083 IR-06-083 206 public interim_report IIASA, Laxenburg, Austria 59 FALSE info:eu-repo/semantics/book