Emergence of Coleoptera from deadwood in a managed broadleaved forest in central Europe View Full Text


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Article Info

DATE

2004-09

AUTHORS

Heike Kappes, Werner Topp

ABSTRACT

We studied Coleoptera emerging from deadwood in a broadleaved forest that has been managed with nature-oriented forestry since 1990 and in which an accumulation of 10 m3 deadwood/ha has been achieved. We sampled a total of 11 m3 of deadwood from oak and beech trees and yielded 32,477 individuals pertaining to 342 species. The number of species emerging from oak deadwood was significantly higher than that from beech. Significantly more species emerged from deadwood with medium size (15–21 cm) diameter than from smaller (5–7 cm) or larger (40–60 cm) diameters. The stage of decay did not influence the number of species during the first 6 years of decomposition. Species richness strongly increased with the amount of deadwood sampled. Species–area regressions yielded z-values of 0.81 for oak and 0.87 for beech deadwood. The beetle assemblage was characterized by a low number of xylophagous species and a high number of mobile zoophagous species. However, two-thirds of the individuals sampled pertained to nine species of Scolytidae. This is why Shannon–Wiener diversity (H) and evenness-indices (E) greatly decreased with increasing number of scolytids. The species and individuals yielded from the sun-exposed deadwood outnumbered those from shaded areas. Namely the scolytid Taphrorychus bicolor reached remarkably high densities in the sun-exposed beech deadwood (>800 individuals/m2). In contrast, oak deadwood never harboured such high numbers of scolytids. Felling of moribund trees had decreased the number of scolytids but it had also considerably reduced the number of rare and endangered species. More... »

PAGES

1905-1924

Journal

TITLE

Biodiversity and Conservation

ISSUE

10

VOLUME

13

Identifiers

URI

http://scigraph.springernature.com/pub.10.1023/b:bioc.0000035873.56001.7d

DOI

http://dx.doi.org/10.1023/b:bioc.0000035873.56001.7d

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1044846795


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