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The modeling of ecological processes such as insect disturbance is challenging due to the complexity of insect outbreaks in forest ecological systems, thus diverse spatial scales need to be considered in order to effectively represent these dynamic spatial phenomena.
Predator-prey interaction has always been an important issue in mathematical modeling of ecological processes [1].
In Tables 5 and 6, we provide the empirical results from multilevel modeling of ecological factors at the county level with state-level factors as higher levels of influence.
end{aligned} end{aligned} (1) Although deterministic smoking model can characterize the dynamical behavior of the smoking population in some way, it assumes that parameters are deterministic irrespective of environmental fluctuations, which imposes some limitations in mathematical modeling of ecological systems.
The projects have included modeling of ecological and evolutionary processes relating to fecundity, parameter identification, developmental stability, biodiversity, anthropogenic disturbances, invasive species, and population fluctuations in salamander populations.
Ultimately, this work may contribute to the integration of phylogenetic inference over short timescales with the vast and growing literature on mathematical modeling of ecological and epidemiological population dynamics (Bailey 1975; Anderson and May 1991).
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Sophisticated models of ecological phenomenon are not new.
Furthermore, the results suggested that the user's mental model of ecological performance was rather limited.
This is not to deny the negative dimensions of the Confucian tradition nor to claim that historically China was a model of ecological fitness.
We combine mathematical and statistical models of ecological systems of the poor with field-based data-collection to understand dynamics of poverty and disease.
In this paper, we propose a methodological framework based on network modelling for the study and modelling of ecological networks.
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