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However, discrete-time models have also been used to study population processes.
It has been hypothesised that this unique structure must have implications for population processes.
Population processes and recombination mechanisms of excitons localised in CdSe/ZnSe quantum dot structures are investigated.
Biologists use these equations to model the achievement of stochastic changes in reproduction on population processes [2, 3].
We base our models on Population Processes, an approach commonly used to represent the dynamics of biological populations.
Linking individual behavior to spatial population processes, may clarify the complex link between species distribution and landscape properties.
Evaluating the effectiveness of such manipulations requires comprehensive monitoring of population processes, including dispersal, survivorship, and reproduction.
State-space models are useful for estimating complex, unobservable population processes and making predictions about future populations based on limited data.
Agent-based models are appropriate tools to simulate these interactions, being sufficiently flexible to mimic real population processes under a range of environmental conditions.
Efforts to conserve regional biodiversity in the face of global climate change, habitat loss and fragmentation will depend on approaches that consider population processes at multiple scales.
Current process-based modeling approaches of insect outbreaks are often based on population processes operating at small spatial scales (i.e. within individual forest stands).
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