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At community and ecosystem levels, increasingly complex interactions between demography and evolution are expected, as multiple interacting species may change both demographically and through evolution.
We develop a general stochastic optimal control framework that accommodates multiple interacting species while accounting for uncertainty in the temporal population dynamics.
Other scientists, however, saw the problem as involving multiple interacting species, an ecological perspective that had its origins in a terrestrial setting, and was now applied to the sea [20].
Next, using a similar approach to the population-level analysis, and assuming that measurement error and observer bias is similar across all taxa and species, we investigated the patterns of trait matching across multiple interacting species pairs.
However, in order for asymmetries in specialization to lead to consistent patterns of trait mismatches across multiple interacting species pairs, either the plants or the animals would need to be consistently more specialized.
The metacommunity framework has cross-fertilized these two networks, a metacommunity being defined as a set of local communities that are linked by the dispersal of multiple interacting species [3].
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In this work we examine a Lotka Volterra model with diffusion describing the dynamics of multiple interacting prey and predator species.
So the Levins model was developed to the metapopulation model of two interacting species or multi interacting species.
Obviously, all meat quality traits are complex traits that depend on multiple interacting factors, including genetic background, which may depend on species, major genes and gene interaction, and environmental background, which may depend on feeding, management and slaughter conditions [ 6].
Multiple interacting systems can be designed with separation of concerns.
Ecological food webs define the feeding patterns of interacting species.
Related(20)
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