The emergence of new trophic levels in eco-evolutionary models with naturally-bounded traits. (7th July 2020)
- Record Type:
- Journal Article
- Title:
- The emergence of new trophic levels in eco-evolutionary models with naturally-bounded traits. (7th July 2020)
- Main Title:
- The emergence of new trophic levels in eco-evolutionary models with naturally-bounded traits
- Authors:
- Cropp, Roger
Norbury, John - Abstract:
- Highlights: Eco-evolution models with naturally-bounded traits. The emergence of new trophic levels in eco-evolutionary models. How populations transition from competition to predation. Abstract: Ecosystems and food webs are structured into trophic levels of who eats whom. Species that occupy higher trophic levels have less available energy and higher energetic costs than species at lower trophic levels. So why do higher trophic levels exist? What processes generate new trophic levels? We consider a heuristic eco-evolutionary model based on simple Lotka-Volterra equations, where the evolution of traits is described by a generalisation of Lande's equation. The transition from competition to predation in this simplest of models is a successful, safe strategy for a population, and suggests a propensity to develop new trophic levels may be an inherent property of ecosystems. Numerical simulations with a more complex eco-evolutionary model of interacting plant and herbivore populations display the emergence of a new trophic level as an alternative to continued competition. These simulations reveal that new trophic levels may arise naturally from ecosystems because a robust strategy for a population in the presence of a strong competitor that could dominate or potentially extinguish them, is to predate upon the competitor. The same properties that make the competitor strong make it an ideal prey, suggesting the rubric that it is better to eat a strong competitor than to continueHighlights: Eco-evolution models with naturally-bounded traits. The emergence of new trophic levels in eco-evolutionary models. How populations transition from competition to predation. Abstract: Ecosystems and food webs are structured into trophic levels of who eats whom. Species that occupy higher trophic levels have less available energy and higher energetic costs than species at lower trophic levels. So why do higher trophic levels exist? What processes generate new trophic levels? We consider a heuristic eco-evolutionary model based on simple Lotka-Volterra equations, where the evolution of traits is described by a generalisation of Lande's equation. The transition from competition to predation in this simplest of models is a successful, safe strategy for a population, and suggests a propensity to develop new trophic levels may be an inherent property of ecosystems. Numerical simulations with a more complex eco-evolutionary model of interacting plant and herbivore populations display the emergence of a new trophic level as an alternative to continued competition. These simulations reveal that new trophic levels may arise naturally from ecosystems because a robust strategy for a population in the presence of a strong competitor that could dominate or potentially extinguish them, is to predate upon the competitor. The same properties that make the competitor strong make it an ideal prey, suggesting the rubric that it is better to eat a strong competitor than to continue competing. … (more)
- Is Part Of:
- Journal of theoretical biology. Volume 496(2020)
- Journal:
- Journal of theoretical biology
- Issue:
- Volume 496(2020)
- Issue Display:
- Volume 496, Issue 2020 (2020)
- Year:
- 2020
- Volume:
- 496
- Issue:
- 2020
- Issue Sort Value:
- 2020-0496-2020-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-07-07
- Subjects:
- Eco-evolutionary model -- Emergence of new trophic levels -- γ-Distributed traits -- Natural trait bounds -- Emergence of carnivory
Biology -- Periodicals
Biological Science Disciplines -- Periodicals
Biology -- Periodicals
Biologie -- Périodiques
Theoretische biologie
Biology
Periodicals
571.05 - Journal URLs:
- http://www.sciencedirect.com/science/journal/00225193/ ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.jtbi.2020.110264 ↗
- Languages:
- English
- ISSNs:
- 0022-5193
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5069.075000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 13510.xml