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dc.contributor.authorKnoke, Thomas
dc.contributor.authorAmmer, Christian
dc.contributor.authorBödeker, Kai
dc.contributor.authorHeurich, Marco
dc.date.accessioned2022-06-17T10:37:57Z
dc.date.available2022-06-17T10:37:57Z
dc.date.created2021-11-13T16:08:19Z
dc.date.issued2021
dc.identifier.issn1999-4907
dc.identifier.urihttps://hdl.handle.net/11250/2999284
dc.description.abstractUngulate browsing has a major impact on the composition and structure of forests. Repeatedly conducted, large-scale regeneration inventories can monitor the extent of browsing pressure and its impacts on forest regeneration development. Based on the respective results, the necessity and extent of wildlife management activities such as hunting, fencing, etc., can be identified at a landscape scale. However, such inventories have rarely been integrated into wildlife management decision making. In this article, we evaluate a regeneration inventory method which was carried out in the Bavarian Forest National Park between 2007 and 2018. We predict the browsing impact by calculating browsing probabilities using a logistic mixed effect model. To provide wildlife managers with feedback on their activities, we developed a test which can assess significant changes in browsing probability between different inventory periods. To find the minimum observable browsing probability change, we simulated ungulate browsing based on the data of a potential browsing indicator species (Sorbus aucuparia) in the National Park. Sorbus aucuparia is evenly distributed, commonly found, selectively browsed and meets the ecosystem development objectives in our study area. We were able to verify a browsing probability change down to ±5 percentage points with a sample size of about 1,000 observations per inventory run. In view of the size of the National Park and the annual fluctuations in browsing pressure, this estimation accuracy seems sufficient. In seeking the maximal cost-efficiency, we were able to reduce this sample size in a sensitivity analysis by about two thirds without severe loss of information for wildlife management. Based on our findings, the presented inventory method combined with our evaluation tool has the potential to be a robust and efficient instrument to assess the impact of herbivores that are in the National Park and other region.en_US
dc.language.isoengen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.subjectungulatesen_US
dc.subjectbrowsingen_US
dc.subjectbrowsing probabilityen_US
dc.subjectsensitivity analysisen_US
dc.subjectmixed effect modelen_US
dc.subjectregenerationen_US
dc.subjectchangeen_US
dc.subjectinventoryen_US
dc.subjectadaptive wildlife managementen_US
dc.subjectsample sizeen_US
dc.titleDetermining Statistically Robust Changes in Ungulate Browsing Pressure as a Basis for Adaptive Wildlife Managementen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.subject.nsiVDP::Matematikk og Naturvitenskap: 400en_US
dc.source.volume12en_US
dc.source.journalForestsen_US
dc.identifier.cristin1954274
dc.source.articlenumber1030en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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