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The biological cropping hypothesis over evolutionary time: an experimental test.

Authors :
Furness, Euan N.
Sutton, Mark D.
Source :
Theoretical Ecology; Jun2024, Vol. 17 Issue 2, p121-129, 9p
Publication Year :
2024

Abstract

Ecological disturbance has been proposed to have a variety of effects on biodiversity. These mechanisms are well studied over shorter timescales through experimental manipulation of ecosystems, but the effect of disturbance on longer timescales, where evolutionary processes operate, is less well understood. This is at least in part because evolutionary processes are too slow to observe in experimental manipulations of ecosystems. Here, we use the Rapid Evolutionary Simulator system (REvoSim) to solve this problem. REvoSim is a spatially explicit, agent-based simulation tool that models both ecological and evolutionary processes and is capable of simulating many thousands of generations of evolution per hour in a population of up to 1 million organisms. We use REvoSim to evaluate the biological cropping hypothesis, which predicts that the non-selective culling of organisms from populations ("cropping") can enhance diversity in those populations over long timescales by reducing the homogenising effects of competitive exclusion. Our experiments demonstrate that cropping alone can increase diversity within populations under certain circumstances: those where it has the net effect of reducing the selection pressure acting on those populations. However, intense cropping pressure may increase the selection pressure on organisms to reproduce rapidly, potentially offsetting the effects of reduced competitive exclusion on diversity. We also show that cropping alone is not sufficient to result in reproductive isolation within populations. This implies that, while cropping can maintain a high species diversity within an ecosystem, additional mechanisms must be invoked to generate that high diversity in the first instance. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
18741738
Volume :
17
Issue :
2
Database :
Complementary Index
Journal :
Theoretical Ecology
Publication Type :
Academic Journal
Accession number :
177895319
Full Text :
https://doi.org/10.1007/s12080-024-00579-3