%0 Journal Article %1 hilker_parameterizing_2006 %A Hilker, Frank M. %A Hinsch, Martin %A Poethke, Hans Joachim %B Pattern and Processes of Dynamic Mosaic Landscapes -- Modelling, Simulation, and Implications %D 2006 %J Ecological Modelling %K Grid-based, Incidence Model Parameterization comparison, function individual-based metapopulation, model, %N 4 %P 476--485 %R 10.1016/j.ecolmodel.2005.06.011 %T Parameterizing, evaluating and comparing metapopulation models with data from individual-based simulations %U http://www.sciencedirect.com/science/article/pii/S0304380006002912 %V 199 %X Due to the lack of sufficient data and appropriate ecological information parameterizing predictive population dynamical models usually is a difficult task. The approach proposed in this study is meant to overcome this problem by using detailed individual-based simulations to generate artificial data. With short-term data samples, the models to be investigated can be parameterized and their predictions be compared. The flexibility of individual-based simulations as experimental tools also facilitates the evaluation and comparison of different (aggregated) model types. The presented approach is a step towards unifying models of different complexity. As an example we applied it to two metapopulation models of insect species in a highly fragmented landscape: the well-known incidence function model with a patch-based representation of space and a grid-based analogue. The models are tested with respect to their data requirement and recommendations for a better data sampling are derived.

@article{hilker_parameterizing_2006, abstract = {Due to the lack of sufficient data and appropriate ecological information parameterizing predictive population dynamical models usually is a difficult task. The approach proposed in this study is meant to overcome this problem by using detailed individual-based simulations to generate artificial data. With short-term data samples, the models to be investigated can be parameterized and their predictions be compared. The flexibility of individual-based simulations as experimental tools also facilitates the evaluation and comparison of different (aggregated) model types. The presented approach is a step towards unifying models of different complexity. As an example we applied it to two metapopulation models of insect species in a highly fragmented landscape: the well-known incidence function model with a patch-based representation of space and a grid-based analogue. The models are tested with respect to their data requirement and recommendations for a better data sampling are derived.}, added-at = {2016-09-26T15:45:29.000+0200}, author = {Hilker, Frank M. and Hinsch, Martin and Poethke, Hans Joachim}, biburl = {https://www.bibsonomy.org/bibtex/2e50d1ba5cab242a379cfaa729debfb29/teegroup}, doi = {10.1016/j.ecolmodel.2005.06.011}, file = {ScienceDirect Full Text PDF:/media/thomas/USBArbeit/zotero/storage/8TK2W7KB/Hilker et al. - 2006 - Parameterizing, evaluating and comparing metapopul.pdf:application/pdf;ScienceDirect Snapshot:/media/thomas/USBArbeit/zotero/storage/HIKFWD5Q/S0304380006002912.html:text/html}, interhash = {99178ee8d1d49564dc0850f1590e8fe6}, intrahash = {e50d1ba5cab242a379cfaa729debfb29}, issn = {0304-3800}, journal = {Ecological Modelling}, keywords = {Grid-based, Incidence Model Parameterization comparison, function individual-based metapopulation, model,}, month = dec, number = 4, pages = {476--485}, series = {Pattern and {Processes} of {Dynamic} {Mosaic} {Landscapes} -- {Modelling}, {Simulation}, and {Implications}}, timestamp = {2016-09-26T15:45:29.000+0200}, title = {Parameterizing, evaluating and comparing metapopulation models with data from individual-based simulations}, url = {http://www.sciencedirect.com/science/article/pii/S0304380006002912}, urldate = {2016-09-26}, volume = 199, year = 2006 }