Empirical prediction models for the coverage and yields of cowberry in Finland.

By Marjut Turtiainen, J. Miina, K. Salo, J. Hotanen. 2013

53 citations recorded by the source corpus.

Empirical models for the coverage and berry yield of cowberry (Vaccinium vitis-idaea L.) were developedusinggeneralizedlinearmixedmodels �(GLMMs). �Thepercentagecoverageofcowberry� waspredictedasafunctionofsiteandstandcharacteristicsusingdatafromtheFinnishNational � ForestInventory �(NFI) �in �1995. �Theaverageannualyield, �includingthebetween-yearvariation � intheyield, �waspredictedasafunctionofpercentagecoverageandstandcharacteristicsusing � permanentexperimentalplots �(MASI) �establishedindif ferentareasofFinlandandmeasuredin � 2001-2012.�Themodelforcowberryyields �(Model �2) �wasdevelopedformineralsoilforests. � Themodelforthecoverage �(Model �1) �wasconstructedsothatitconsidersbothmineralsoil � sitesandalsomanyothersiteswherecowberryoccursinthefieldlayer . �AccordingtoModel �1, � thesitefertilitysignificantlyaf fectedtheabundanceofcowberryonmineralsoils, �sprucemires � and pine mires. The stand basal area and dominant tree species were among the most important foreststructuralpredictorsinModel �1. �Thesitefertilitywasnotasignificantpredictorinthe � cowberryyieldmodel. �Instead, �thestandbasalareaandcoverageofcowberryplantswerefound � tobestatisticallysignificantpredictorsinModel �2. �Theestimat edmodelswereusedtopredict � thecowberrycoverage, �averageannualyieldandits �95% �confidenceintervalalongwithstand � development.�Themodelsofthisstudycanbeusedformulti-obj ectiveforestplanningpurposes.

Subfields: Environmental Engineering, Global and Planetary Change, Nature and Landscape Conservation

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