A tutorial accompanying the publication: B. Rosenbaum, E.A. Fronhofer 2022. Confronting population models with experimental microcosm data: from trajectory matching to state-space model
Detailed observation of the movement of individual animals offers the potential to understand spatia...
Computationally complex systems models are needed to advance research and implement policy in theore...
Demography is at the core of ecology, evolution, and conservation biology. The simple recognition th...
International audiencePopulation and community ecology traditionally has a very strong theoretical f...
State-space models are an increasingly common and important tool in the quantitative ecologists’ arm...
In statistical ecology, state-space models are commonly used to represent the biological mechanisms ...
In statistical ecology, state-space models are commonly used to represent the biological mechanisms ...
State- space models (SSMs) are an important modeling framework for analyzing ecological time series...
In a physiologically structured population model (PSPM) individuals are characterised by continuous ...
State–space models (SSMs) are an important modeling framework for analyzing ecological time series. ...
The quick answer to the title question is: by bookkeeping; introduce as p(opulation)-state a measure...
Item does not contain fulltextIntegral Projection Models (IPMs) use information on how an individual...
Ecologists and environmental managers rely on mathematical models, both to understand ecological sys...
This module introduces three discrete-time population models: the logistic model, the Ricker model, ...
This project’s goal is to give a better understanding in how we use differential equations in popula...
Detailed observation of the movement of individual animals offers the potential to understand spatia...
Computationally complex systems models are needed to advance research and implement policy in theore...
Demography is at the core of ecology, evolution, and conservation biology. The simple recognition th...
International audiencePopulation and community ecology traditionally has a very strong theoretical f...
State-space models are an increasingly common and important tool in the quantitative ecologists’ arm...
In statistical ecology, state-space models are commonly used to represent the biological mechanisms ...
In statistical ecology, state-space models are commonly used to represent the biological mechanisms ...
State- space models (SSMs) are an important modeling framework for analyzing ecological time series...
In a physiologically structured population model (PSPM) individuals are characterised by continuous ...
State–space models (SSMs) are an important modeling framework for analyzing ecological time series. ...
The quick answer to the title question is: by bookkeeping; introduce as p(opulation)-state a measure...
Item does not contain fulltextIntegral Projection Models (IPMs) use information on how an individual...
Ecologists and environmental managers rely on mathematical models, both to understand ecological sys...
This module introduces three discrete-time population models: the logistic model, the Ricker model, ...
This project’s goal is to give a better understanding in how we use differential equations in popula...
Detailed observation of the movement of individual animals offers the potential to understand spatia...
Computationally complex systems models are needed to advance research and implement policy in theore...
Demography is at the core of ecology, evolution, and conservation biology. The simple recognition th...
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