Integrated Sampling Approaches Enhance Assessment of Saproxylic Beetle Biodiversity in a Mediterranean Forest Ecosystem (Sila National Park, Italy)

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Publicado en:Insects vol. 16, no. 8 (2025), p. 812-826
Autor principal: Mendicino Federica
Otros Autores: Carlomagno, Francesco, Bonelli Domenico, Di Biase Erica, Fumo Federica, Bonacci, Teresa
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MDPI AG
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022 |a 2075-4450 
024 7 |a 10.3390/insects16080812  |2 doi 
035 |a 3244041275 
045 2 |b d20250101  |b d20251231 
084 |a 231475  |2 nlm 
100 1 |a Mendicino Federica 
245 1 |a Integrated Sampling Approaches Enhance Assessment of Saproxylic Beetle Biodiversity in a Mediterranean Forest Ecosystem (Sila National Park, Italy) 
260 |b MDPI AG  |c 2025 
513 |a Journal Article 
520 3 |a Saproxylic beetles are key bioindicators of forest ecosystem quality and play essential roles in deadwood decomposition and nutrient cycling. However, their populations are increasingly threatened by habitat fragmentation, deadwood removal, and climate-driven environmental changes. For this reason, an integrated sampling method can increase the detection of species with varying ecological traits. We evaluated the effectiveness of integrative sampling methodologies to assess saproxylic beetle diversity within Sila National Park, a Mediterranean forest ecosystem of high conservation value, specifically in two beech forests and four pine forests. The sampling methods tested included Pan Traps (PaTs), Malaise Traps (MTs), Pitfall Traps (PTs), Bait Bottle Traps (BBTs), and Visual Census (VC). All specimens were identified to the species level whenever possible, using specialized dichotomous keys and preserved in the Entomological Collection TB, Unical. Various trap types captured a different number of species: the PaT collected 32 species, followed by the PT with 24, the MT with 16, the VC with 7, and the BBT with 5 species. Interestingly, biodiversity analyses conducted using PAST software version 4.17 revealed that PaTs and MTs recorded the highest biodiversity indices. The GLMM analysis, performed using SPSS software 29.0.1.0, demonstrated that various traps attracted different species with different abundances. By combining multiple trapping techniques, we documented a more comprehensive community composition compared to single-method approaches. Moreover, PaTs, MTs, and PTs recorded 20%, 40%, and 33% of the Near Threatened species, respectively. We report new records for Sila National Park, including the LC species Pteryngium crenulatum (Curculionidae) and the NT species Grynocharis oblonga (Trogossitidae). For the first time in Calabria, the LC species Triplax rufipes (Erotylidae) and the NT species Oxypleurus nodieri (Cerambycidae) and Glischrochilus quadrisignatus (Nitidulidae) were collected. Our results emphasize the importance of method diversity in capturing species with distinct ecological requirements and highlight the relevance of saproxylic beetles as indicators of forest health. These findings support the adoption of multi-method sampling protocols in forest biodiversity monitoring and management programs, especially in biodiversity-rich and structurally heterogeneous landscapes. 
651 4 |a Italy 
653 |a Community composition 
653 |a Monitoring methods 
653 |a Pitfall traps 
653 |a Beetles 
653 |a Sea level 
653 |a Habitat fragmentation 
653 |a Census 
653 |a Coniferous forests 
653 |a Species diversity 
653 |a Baits 
653 |a Indicator species 
653 |a Ecological function 
653 |a Sampling 
653 |a Beech 
653 |a Habitats 
653 |a Protected areas 
653 |a Climate change 
653 |a Environmental changes 
653 |a Forest ecosystems 
653 |a Forests 
653 |a Populations 
653 |a Effectiveness 
653 |a Threatened species 
653 |a Insects 
653 |a Terrestrial ecosystems 
653 |a Biodiversity 
653 |a Ecosystems 
653 |a Composition 
653 |a National parks 
653 |a Pine 
653 |a Software 
653 |a Conservation 
653 |a Sampling techniques 
653 |a Decomposition 
653 |a Bioindicators 
653 |a Forest management 
653 |a Sampling methods 
653 |a Nutrient cycles 
653 |a Cycles 
653 |a Trees 
653 |a Dead wood 
653 |a New records 
653 |a Coleoptera 
653 |a Environmental 
700 1 |a Carlomagno, Francesco 
700 1 |a Bonelli Domenico 
700 1 |a Di Biase Erica 
700 1 |a Fumo Federica 
700 1 |a Bonacci, Teresa 
773 0 |t Insects  |g vol. 16, no. 8 (2025), p. 812-826 
786 0 |d ProQuest  |t Agriculture Science Database 
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