Article (Scientific journals)
A test for assessment of saproxylic beetle biodiversity using subsets of "monitoring species"
Sebek, P.; Barnouin, T.; Brin, A. et al.
2012In Ecological Indicators, 20, p. 304-315
Peer Reviewed verified by ORBi
 

Files


Full Text
A-test-for-assessment-of-saproxylic-beetle-biodiversity-using-subsets-of-monitoring-species_2012_Ecological-Indicators.pdf
Publisher postprint (704.53 kB)
Request a copy

All documents in ORBi are protected by a user license.

Send to



Details



Keywords :
Biodiversity surrogate; Deadwood; Forest insects; Identification costs; Species richness; Belgium; Cost balance; Cost-efficiency; Data sets; Ecological conditions; Ecological studies; Environmental gradient; European forests; Field inventories; Forest plots; Forest stand structure; Forest type; Highly sensitive; Monitoring network; Rare species; Saproxylic beetles; Spatial scale; Species identification; Taxonomical groups; Trap levels; Trapping methods; Western Europe; Biodiversity; Costs; Ecology; Forestry; Identification (control systems); Living systems studies; Monitoring; Set theory; Surveys; Conservation; Europe; Forests; Insects; France; Cerambycidae; Coleoptera; Hexapoda
Abstract :
[en] In European forests, large scale biodiversity monitoring networks need to be implemented - networks which include components such as taxonomical groups that are at risk and that depend directly on forest stand structure. In this context, monitoring the species-rich group of saproxylic beetles is challenging. In the absence of sufficient resources to comprehensively survey a particular group, surrogates of species richness can be meaningful tools in biodiversity evaluations. In search of restricted subsets of species to use as surrogates of saproxylic beetle richness, we led a case study in Western Europe. Beetle data were compiled from 67 biodiversity surveys and ecological studies carried out from 1999 to 2010 with standardised trapping methods in France and Belgium. This large-scale dataset contains 642 forest plots, 1521 traps and 856 species. Twenty-two simplified species subsets were identified as potential surrogates, as well as the number of genera, a higher taxonomic level, taking into account, for each surrogate, the effort required for species identification, the practical monitoring experience necessary, the species conservation potential or the frequency of species occurrence. The performance of each surrogate was analyzed based on the following parameters: overall surrogacy (correlation between subset richness and total species richness), surrogacy vs. identification cost balance, surrogacy variation over a wide range of ecological conditions (forest type, altitude, latitude and bio-geographical area) and consistency with spatial scale. Ecological representativeness and ability to monitor rare species were supplementary criteria used to assess surrogate performance. The subsets consisting of the identifiable (or only easy-to-identify species) could easily be applied in practice and appear to be the best performing subsets, from a global point of view. The number of genera showed good prediction at the trap level and its surrogacy did not vary across wide environmental gradients. However, the subset of easy-to-identify species and the genus number were highly sensitive to spatial scale, which limits their use in large-scale studies. The number of rare species or the species richness of single beetle families (even the best single-family subset, the Cerambycidae) was very weak surrogates for total species richness. Conversely, the German list of monitoring species had high surrogacy, low identification costs and was not strongly influenced by the main geographical parameters, even with our French and Belgian data. In European-wide monitoring networks, such internationally validated subsets could be very useful with regard to the timing and cost-efficiency of field inventories. © 2012 Elsevier Ltd.
Disciplines :
Environmental sciences & ecology
Author, co-author :
Sebek, P.;  National Research Institute of Science and Technology for Environment and Agriculture (Irstea), 'Forest Ecosystems' Research Unit, Domaine des Barres, F-45290 Nogent-sur-Vernisson, France, Department of Botany and Zoology, Masaryk University, Kotlarska 2, CZ-61137 Brno, Czech Republic
Barnouin, T.;  Réseau Naturaliste Entomologie, Office National des Forêts, 2 rue Charles Péguy, F-11500 Quillan, France
Brin, A.;  Université de Toulouse, Ecole d'Ingénieurs de Purpan, UMR Dynafor 1201, 75 voie du T.O.E.C., F-31076 Toulouse Cedex 03, France
Brustel, H.;  Université de Toulouse, Ecole d'Ingénieurs de Purpan, UMR Dynafor 1201, 75 voie du T.O.E.C., F-31076 Toulouse Cedex 03, France
Dufrêne, Marc  ;  Université de Liège - ULiège > Forêts, Nature et Paysage > Biodiversité et Paysage
Gosselin, F.;  National Research Institute of Science and Technology for Environment and Agriculture (Irstea), 'Forest Ecosystems' Research Unit, Domaine des Barres, F-45290 Nogent-sur-Vernisson, France
Meriguet, B.;  OPIE (Office Pour les Insectes et Leur Environnement), Domaine de la Minire, F-78280 Guyancourt, France
Micas, L.;  Réseau Naturaliste Entomologie, Office National des Forêts, 2 rue Charles Péguy, F-11500 Quillan, France
Noblecourt, T.;  Réseau Naturaliste Entomologie, Office National des Forêts, 2 rue Charles Péguy, F-11500 Quillan, France
Rose, O.;  Réseau Naturaliste Entomologie, Office National des Forêts, 2 rue Charles Péguy, F-11500 Quillan, France
Velle, L.;  Réseau Naturaliste Entomologie, Office National des Forêts, 2 rue Charles Péguy, F-11500 Quillan, France
Bouget, C.;  National Research Institute of Science and Technology for Environment and Agriculture (Irstea), 'Forest Ecosystems' Research Unit, Domaine des Barres, F-45290 Nogent-sur-Vernisson, France
Language :
English
Title :
A test for assessment of saproxylic beetle biodiversity using subsets of "monitoring species"
Publication date :
2012
Journal title :
Ecological Indicators
ISSN :
1470-160X
eISSN :
1872-7034
Publisher :
Elsevier Science, Amsterdam, Netherlands
Volume :
20
Pages :
304-315
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBi :
since 24 March 2013

Statistics


Number of views
75 (7 by ULiège)
Number of downloads
0 (0 by ULiège)

Scopus citations®
 
27
Scopus citations®
without self-citations
25
OpenCitations
 
25

Bibliography


Similar publications



Contact ORBi