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In ant communities, species coexist by using different foraging strategies. We developed an adaptive dynamics model to gain a better understanding of the factors that promote the emergence and maintenance of strategy diversity. We analysed the consequences of both interspecific competition and resource distribution for the evolutionary dynamics of social foraging in ants. The evolution of social foraging behaviour was represented using a stochastic mutation-selection process involving interactions among colonies. In our theoretical community, ant colonies inhabit an environment where resources are limited, and only one resource type is present. Colony interactions depend on colony-specific foraging strategies (defined as the degree of collective foraging), resource distribution patterns, and the degree of competition asymmetry. At the ecological timescale, we have created a model of foraging processes that reflects trade-offs between resource discovery and resource exploitation and between resource discovery and ant behavioural dominance. At the evolutionary timescale, we have identified the conditions of competition and resource distribution that can lead to the emergence and coexistence of both collective and individual foraging strategies. We suggest that asymmetric competition is an essential component in the emergence of diverse foraging strategies in a sympatric ant community.
[SDE] Environmental Sciences, 570, Ants, [SDV]Life Sciences [q-bio], Science, Q, Population Dynamics, 590, R, Biodiversity, Models, Theoretical, Biological Evolution, [SDV] Life Sciences [q-bio], [SDE]Environmental Sciences, Medicine, Animals, Algorithms, Research Article
[SDE] Environmental Sciences, 570, Ants, [SDV]Life Sciences [q-bio], Science, Q, Population Dynamics, 590, R, Biodiversity, Models, Theoretical, Biological Evolution, [SDV] Life Sciences [q-bio], [SDE]Environmental Sciences, Medicine, Animals, Algorithms, Research Article
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| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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