Epiphytic bryophytes of Quercus forests in Central and North inland Iberian Peninsula

مرکز و کتابخانه مطالعات اسلامی به زبان های اروپایی

منو

" Epiphytic bryophytes of Quercus forests in Central and North inland Iberian Peninsula "
Medina, Nagore García; Lara, Francisco; Mazimpaka, Vicente; Albertos, Belén; Alonso, Irenen; Hortal, Joaquín

Document Type	:	AL
Record Number	:	920723
Doc. No	:	LA1qr0w9vz
Language of Document	:	English
Main Entry	:	Medina, Nagore García; Lara, Francisco; Mazimpaka, Vicente; Albertos, Belén; Alonso, Irenen; Hortal, Joaquín
Title & Author	:	Epiphytic bryophytes of Quercus forests in Central and North inland Iberian Peninsula [Article]\ Medina, Nagore García; Lara, Francisco; Mazimpaka, Vicente; Albertos, Belén; Alonso, Irenen; Hortal, Joaquín
Title of Periodical	:	Frontiers of Biogeography
Volume/ Issue Number	:	7/1
Date	:	2015
Abstract	:	Diversity patterns are governed by a complex network of interacting factors. Studies directed to disentangle the most important factors affecting diversity have frequently shown divergent results, which has encouraged a rewarding debate about the relative importance of each factor. Scale dependency has been identified as a direct cause of at least part of such divergences. However, studies with spatially-explicit measurements at different scales are costly and therefore they are relatively scarce despite their importance. Here, we present a database to disentangle the cross-scale variation in the importance of factors affecting the diversity of epiphytic bryophyte communities in Quercus dominated forests (Quercus ilex L., Quercus pyrenaica Willd. and Quercus faginea Lam.) in the North-western region of the Iberian Peninsula. We provide species-per-site abundance information with more than 9000 entries and an environmental table containing 20 in situ measured variables at three different scales (forest, stand, and sample). The database will help to advance the research of cross-scale effects of diversity patterns while at the same time providing valuable information on the distribution of a poorly known group of organisms.