| Literature DB >> 32661404 |
Lea Heidrich1, Soyeon Bae2, Shaun Levick3, Sebastian Seibold2,4, Wolfgang Weisser4, Peter Krzystek5, Paul Magdon6, Thomas Nauss7, Peter Schall8, Alla Serebryanyk5, Stephan Wöllauer7, Christian Ammer8, Claus Bässler9,10, Inken Doerfler4,11, Markus Fischer12, Martin M Gossner13, Marco Heurich9,14, Torsten Hothorn15, Kirsten Jung16, Holger Kreft17,18, Ernst-Detlef Schulze19, Nadja Simons20, Simon Thorn2, Jörg Müller2,9.
Abstract
The habitat heterogeneity hypothesis predicts that biodiversity increases with increasing habitat heterogeneity due to greater niche dimensionality. However, recent studies have reported that richness can decrease with high heterogeneity due to stochastic extinctions, creating trade-offs between area and heterogeneity. This suggests that greater complexity in heterogeneity-diversity relationships (HDRs) may exist, with potential for group-specific responses to different facets of heterogeneity that may only be partitioned out by a simultaneous test of HDRs of several species groups and several facets of heterogeneity. Here, we systematically decompose habitat heterogeneity into six major facets on ~500 temperate forest plots across Germany and quantify biodiversity of 12 different species groups, including bats, birds, arthropods, fungi, lichens and plants, representing 2,600 species. Heterogeneity in horizontal and vertical forest structure underpinned most HDRs, followed by plant diversity, deadwood and topographic heterogeneity, but the relative importance varied even within the same trophic level. Among substantial HDRs, 53% increased monotonically, consistent with the classical habitat heterogeneity hypothesis but 21% were hump-shaped, 25% had a monotonically decreasing slope and 1% showed no clear pattern. Overall, we found no evidence of a single generalizable mechanism determining HDR patterns.Mesh:
Year: 2020 PMID: 32661404 DOI: 10.1038/s41559-020-1245-z
Source DB: PubMed Journal: Nat Ecol Evol ISSN: 2397-334X Impact factor: 15.460