Multi-objective optimization shapes ecological variation

Abstract: Ecological systems contain a huge amount of quantitative variation between and within species and locations, which makes it difficult to obtain unambiguous verification of theoretical predictions. Ordinary experiments consider just a few explanatory factors and are prone to providing oversimplified answers because they ignore the complexity of the factors that underlie variation. We used multi-objective optimization (MO) for a mechanistic analysis of the potential ecological and evolutionary causes and consequences of variation in the life-history traits of a species of moth. Optimal life-history solutions were sought for environmental conditions where different life stages of the moth were subject to predation and other known fitness-reducing factors in a manner that was dependent on the duration of these life stages and on variable mortality rates. We found that multi-objective optimal solutions to these conditions that the moths regularly experience explained most of the life-history variation within this species. Our results demonstrate that variation can have a causal interpretation even for organisms under steady conditions. The results suggest that weather and species interactions can act as underlying causes of variation, and MO acts as a corresponding adaptive mechanism that maintains variation in the traits of organisms

Standort
Deutsche Nationalbibliothek Frankfurt am Main
Umfang
Online-Ressource
Ausgabe
Postprint version
Sprache
Englisch
Anmerkungen
IN COPYRIGHT http://rightsstatements.org/page/InC/1.0 rs

Klassifikation
Tiere

Ereignis
Veröffentlichung
(wo)
Freiburg
(wer)
Universität
(wann)
2012
Urheber
Beteiligte Personen und Organisationen
Hyytiälä Forestry Field Station, Department of Forest Sciences, University of Helsinki, Finland
Section of Ecology, Department of Biology, University of Turku, Finland
Albert-Ludwigs-Universität Freiburg

DOI
10.6094/UNIFR/13660
URN
urn:nbn:de:bsz:25-freidok-136605
Rechteinformation
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Letzte Aktualisierung
25.03.20252025, 14:02 MEZ

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Beteiligte

Entstanden

  • 2012

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