Study design and parameter estimability for spatial and temporal ecological models

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dc.contributor.authorPeacock, Stephanie J.
dc.contributor.authorKrkošek, Martin
dc.contributor.authorLewis, Mark A.
dc.contributor.authorLele, Subhash
dc.date.accessioned2025-04-15T19:22:08Z
dc.date.available2025-04-15T19:22:08Z
dc.date.issued2016
dc.description.abstractThe statistical tools available to ecologists are becoming increasingly sophisticated, allowing more complex, mechanistic models to be fit to ecological data. Such models have the potential to provide new insights into the processes underlying ecological patterns, but the inferences made are limited by the information in the data. Statistical nonestimability of model parameters due to insufficient information in the data is a problem too-often ignored by ecologists employing complex models. Here, we show how a new statistical computing method called data cloning can be used to inform study design by assessing the estimability of parameters under different spatial and temporal scales of sampling. A case study of parasite transmission from farmed to wild salmon highlights that assessing the estimability of ecologically relevant parameters should be a key step when designing studies in which fitting complex mechanistic models is the end goal.
dc.description.reviewstatusReviewed
dc.description.scholarlevelFaculty
dc.description.sponsorshipThis work was funded by the Natural Science and Engineering Research Council of Canada (NSERC). SJP gratefully acknowledges a Vanier Canada Graduate Fellowship. MAL gratefully acknowledges an NSERC Discovery grant and a Canada Research Chair.
dc.identifier.citationPeacock, S. J., Krkošek, M., Lewis, M. A., & Lele, S. (2016). Study design and parameter estimability for spatial and temporal ecological models. Ecology and Evolution, 7(2), 762-770. https://doi.org/10.1002/ece3.2618
dc.identifier.urihttps://doi.org/10.1002/ece3.2618
dc.identifier.urihttps://hdl.handle.net/1828/21944
dc.language.isoen
dc.publisherEcology and Evolution
dc.rightsCC BY 4.0
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectmodeling
dc.subjectspatial or time series
dc.subjectstatistics
dc.titleStudy design and parameter estimability for spatial and temporal ecological models
dc.typeArticle

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