Variable retention harvest of white spruce stands and saproxylic beetle assemblages

2007 ◽  
Vol 37 (9) ◽  
pp. 1631-1642 ◽  
Author(s):  
Joshua M. Jacobs ◽  
John R. Spence ◽  
David W. Langor

Dead wood dependent (saproxylic) insects have been identified as vulnerable to the effects of modern forestry practices. We examined the effects of variable retention harvesting on saproxylic beetle assemblages. Variable retention of living green trees seeks to leave more forest structure on the landscape with the goal of maintaining ecosystem function and biodiversity. Ninety flight-intercept traps were divided between recently dead natural snags and snags killed by girdling in three replicated forest stands with 10%, 20%, 50%, and 75% residual structure and in uncut control stands. Beetles were collected and identified during the second and third summers post harvest and grouped for analyses as (i) wood- and bark-borers, (ii) fungivores, and (iii) predators. Harvesting intensity explained a relatively small amount of the variability in the beetle assemblages. However, all groups responded strongly to coarse woody debris variables and especially to snag decay class during the third postharvest summer, suggesting that factors associated with coarse woody debris quality and quantity determine the initial responses and successional trajectories of saproxylic beetle assemblages. The main effects of variable retention on saproxylic assemblages are expected to be mediated through differences in amount of coarse woody debris expected to materialize with the death and decay of green trees left as residual elements.

2010 ◽  
Vol 15 (5) ◽  
pp. 653-669 ◽  
Author(s):  
Antoine Brin ◽  
Christophe Bouget ◽  
Hervé Brustel ◽  
Hervé Jactel

2014 ◽  
Vol 105 (1) ◽  
pp. 101-109 ◽  
Author(s):  
G. Parmain ◽  
C. Bouget ◽  
J. Müller ◽  
J. Horak ◽  
M.M. Gossner ◽  
...  

AbstractMonitoring saproxylic beetle diversity, though challenging, can help identifying relevant conservation sites or key drivers of forest biodiversity, and assessing the impact of forestry practices on biodiversity. Unfortunately, monitoring species assemblages is costly, mainly due to the time spent on identification. Excluding families which are rich in specimens and species but are difficult to identify is a frequent procedure used in ecological entomology to reduce the identification cost. The Staphylinidae (rove beetle) family is both one of the most frequently excluded and one of the most species-rich saproxylic beetle families. Using a large-scale beetle and environmental dataset from 238 beech stands across Europe, we evaluated the effects of staphylinid exclusion on results in ecological forest studies. Simplified staphylinid-excluded assemblages were found to be relevant surrogates for whole assemblages. The species richness and composition of saproxylic beetle assemblages both with and without staphylinids responded congruently to landscape, climatic and stand gradients, even when the assemblages included a high proportion of staphylinid species. At both local and regional scales, the species richness as well as the species composition of staphylinid-included and staphylinid-excluded assemblages were highly positively correlated. Ranking of sites according to their biodiversity level, which either included or excluded Staphylinidae in species richness, also gave congruent results. From our results, species assemblages omitting staphylinids can be taken as efficient surrogates for complete assemblages in large scale biodiversity monitoring studies.


Biotropica ◽  
2021 ◽  
Author(s):  
Ekaterina Shorohova ◽  
Ekaterina Kapitsa ◽  
Andrey Kuznetsov ◽  
Svetlana Kuznetsova ◽  
Valentin Lopes de Gerenuy ◽  
...  

2021 ◽  
pp. e01637
Author(s):  
Francesco Parisi ◽  
Michele Innangi ◽  
Roberto Tognetti ◽  
Fabio Lombardi ◽  
Gherardo Chirici ◽  
...  

Ecosystems ◽  
2019 ◽  
Vol 23 (3) ◽  
pp. 541-554
Author(s):  
Adam Gorgolewski ◽  
Philip Rudz ◽  
Trevor Jones ◽  
Nathan Basiliko ◽  
John Caspersen

2002 ◽  
Vol 10 (4) ◽  
pp. 627-635 ◽  
Author(s):  
Ralph MacNally ◽  
Amber Parkinson ◽  
Gregory Horrocks ◽  
Matthew Young

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