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Prediction vs. reality: Can a PVA model predict population persistence 13 years later?

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    SYSNO ASEP0356797
    Document TypeJ - Journal Article
    R&D Document TypeJournal Article
    Subsidiary JČlánek ve WOS
    TitlePrediction vs. reality: Can a PVA model predict population persistence 13 years later?
    Author(s) Schödelbauerová, Iva (UEK-B)
    Tremblay, R. L. (US)
    Kindlmann, Pavel (UEK-B) RID, ORCID, SAI
    Number of authors3
    Source TitleBiodiversity and Conservation. - : Springer - ISSN 0960-3115
    Roč. 19, č. 3 (2010), s. 637-650
    Number of pages14 s.
    Languageeng - English
    CountryNL - Netherlands
    KeywordsLepanthes rubripetala ; Matrix models ; Orchids ; Transition matrix
    Subject RIVEH - Ecology, Behaviour
    R&D ProjectsLC06073 GA MŠMT - Ministry of Education, Youth and Sports (MEYS)
    CEZAV0Z60870520 - UEK-B (2005-2011)
    UT WOS000274330800003
    DOI10.1007/s10531-009-9724-1
    AnnotationThe challenge of conservation biology is to make models that predict population dynamics and have a high probability of accurately tracking population. Here we tested whether the transition model is accurate enough to predict population persistence and size 13 years down and whether after 13 years populations had achieved a stable stage distribution. We modeled 6 small populations of an epiphytic orchid. We re-censused the populations 13 years after the first study and compared the structure of the populations to predictions based on the earlier census data. Effective population growth rates were similar to those expected except for one where the population went extinct. The prediction slightly overestimated the actual population growth rates of some populations. Elasticity analysis revealed that the adult stage is critical in the life cycle. The observed stage distributions of the populations were not stable at the beginning of the survey and neither were they after 13 years.
    WorkplaceGlobal Change Research Institute
    ContactNikola Šviková, svikova.n@czechglobe.cz, Tel.: 511 192 268
    Year of Publishing2011
Number of the records: 1  

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