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      Influence of canopy gaps on saproxylic beetles in primeval beech forests: a case study from the Uholka‐Shyrokyi Luh forest, Ukraine

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          Abstract

          • The distribution of canopy gaps has been studied intensively in primeval forest, but their role as keystone structure for biodiversity under natural conditions is still poorly understood.

          • We investigated the effect of habitat properties on saproxylic beetles in the centre, at the edge of gaps and in closed stands in one of the last and largest primeval beech forest of Europe (Uholka‐Shyrokyi Luh forest, Ukraine).

          • The abundance of saproxylic beetles was significantly higher in canopy gaps compared to the closed forest. The number of species did not differ significantly between gap centres and closed forest, but was higher in gap centres than at gap edges. Species composition in gap centres was clearly distinct from that in closed forests.

          • The effects of biotic resources, such as the amount of dead wood or the density of big trees (DBH>70 cm), on diversity measures were weak, which might be caused by the abundance of these resources under natural conditions.

          • Since our study site is embedded in a landscape dominated by primeval forest, the effects of habitat properties on saproxylic beetle fauna might differ from that in managed forests of Central Europe. Nevertheless, species assemblages in primeval beech forests play an important role as a reference for conservation efforts in managed beech forests of Europe.

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          Fitting Linear Mixed-Effects Models Usinglme4

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            Simultaneous inference in general parametric models.

            Simultaneous inference is a common problem in many areas of application. If multiple null hypotheses are tested simultaneously, the probability of rejecting erroneously at least one of them increases beyond the pre-specified significance level. Simultaneous inference procedures have to be used which adjust for multiplicity and thus control the overall type I error rate. In this paper we describe simultaneous inference procedures in general parametric models, where the experimental questions are specified through a linear combination of elemental model parameters. The framework described here is quite general and extends the canonical theory of multiple comparison procedures in ANOVA models to linear regression problems, generalized linear models, linear mixed effects models, the Cox model, robust linear models, etc. Several examples using a variety of different statistical models illustrate the breadth of the results. For the analyses we use the R add-on package multcomp, which provides a convenient interface to the general approach adopted here. Copyright 2008 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim
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              Quantifying biodiversity: procedures and pitfalls in the measurement and comparison of species richness

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                Author and article information

                Journal
                Insect Conservation and Diversity
                Insect Conserv Diversity
                Wiley
                1752-458X
                1752-4598
                November 2016
                August 08 2016
                November 2016
                : 9
                : 6
                : 559-573
                Affiliations
                [1 ] Swiss Federal Research Institute WSL Birmensdorf Switzerland
                [2 ] Bern University of Applied Sciences School of Agricultural Forest and Food Sciences HAFL Zollikofen Switzerland
                [3 ] Institute of Ecology of the Carpathians of Ukraine Lviv Ukraine
                [4 ] Uzhgorod National University Uzhgorod Ukraine
                [5 ] Bavarian Forest National Park Grafenau Germany
                [6 ] Field Station Fabrikschleichach Department of Animal Ecology and Tropical Biology Biocenter University of Würzburg Rauhenebrach Germany
                [7 ] Department of Plant Sciences University of Oxford Oxford UK
                [8 ] Seminar for Statistics ETH Zürich Zurich Switzerland
                Article
                10.1111/icad.12188
                64b80788-6b91-4b28-872c-5ab6b1f364e2
                © 2016

                http://onlinelibrary.wiley.com/termsAndConditions#vor

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