Value of Old Forest Attributes Related to Cryptogam Species Richness in Temperate Forests: A Quantitative Assessment

0444721 - ÚI 2016 RIV NL eng J - Journal Article
Hofmeister, J. - Hošek, J. - Brabec, Marek - Dvořák, D. - Beran, M. - Deckerová, H. - Burel, J. - Kříž, M. - Borovička, Jan - Běťák, J. - Vašutová, M. - Malíček, J. - Palice, Zdeněk - Syrovátková, L. - Steinová, J. - Černajová, I. - Holá, E. - Novozámská, E. - Čížek, L. - Iarema, V. - Baltaziuk, K. - Svoboda, T.
Value of Old Forest Attributes Related to Cryptogam Species Richness in Temperate Forests: A Quantitative Assessment.
Ecological Indicators. Roč. 57, October (2015), s. 497-504. ISSN 1470-160X. E-ISSN 1872-7034
Grant - others:GA MŽP(CZ) SP/2D1/146/08
Institutional support: RVO:67985807 ; RVO:67985831 ; RVO:67985939
Keywords : Bryophytes * Dead wood * Forest structure * Lichens * Macrofungi * Size-dependent coefficient model
Subject RIV: BB - Applied Statistics, Operational Research; EF - Botanics (BU-J); EF - Botanics (GLU-S)
Impact factor: 3.190, year: 2015

We documented the distribution of cryptogams in representative forest types in managed and unmanaged stands. We found a positive influence of the largest-diameter tree classes (stem diameter>80 cm) on the species richness of all cryptogam taxa, whereas the contribution of dead wood to the fit of a linear mixed effect model was minimal. For statistical analysis, we used linear mixed effect model (LME) with carefully parametrized size-dependent coefficients describing dependence of cryptogams on live or dead wood volumes. Specifically, we developed Almon-like size-dependence components based on B-splines, which allowed us to study the cryptogam species richness in a novel, FDA (functional data analytic) way.
Permanent Link: http://hdl.handle.net/11104/0247226