Choosy beetles : How host trees and southern boreal forest naturalness may determine dead wood beetle communities
Autor: | Tone Birkemoe, Mária Potterf, Tord Snäll, Joerg Muller, Ryan C. Burner, Anne Sverdrup-Thygeson, Otso Ovaskainen, Jörg G. Stephan, Olav Skarpaas, Lukas Drag |
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Přispěvatelé: | Organismal and Evolutionary Biology Research Programme, Biosciences, Otso Ovaskainen / Principal Investigator |
Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
0106 biological sciences
talousmetsät Species distribution Forest management Endangered species luonnonmetsät Near-natural forest Management Monitoring Policy and Law 010603 evolutionary biology 01 natural sciences joint species distribution models (JSDMs) Ecosystem services indicator species uhanalaiset eläimet near-natural forest Red-listed species saproxylic beetles lahopuut Nature and Landscape Conservation kovakuoriaiset biology Ecology Forest Science Taiga Saproxylic beetles Forestry Picea abies eliöyhteisöt 15. Life on land Joint species distribution models (JSDMs) biology.organism_classification biodiversiteetti Coleoptera metsäekosysteemit Geography Habitat Indicator species 1181 Ecology evolutionary biology red-listed species indikaattorilajit 010606 plant biology & botany |
Popis: | Wood-living beetles make up a large proportion of forest biodiversity and contribute to important ecosystem services, including decomposition. Beetle communities in managed southern boreal forests are less species rich than in natural and near-natural forest stands. In addition, many beetle species rely primarily on specific tree species. Yet, the associations between individual beetle species, forest management category, and tree species are seldom quantified, even for red-listed beetles. We compiled a beetle capture dataset from flight intercept traps placed on Norway spruce (Picea abies), oak (Quercus sp.), and Eurasian aspen (Populus tremulae) trees in 413 sites in mature managed forest, near-natural forest, and clear-cuts in southeastern Norway. We used joint species distribution models to estimate the strength of associations for 368 saproxylic beetle species (including 20 vulnerable, endangered, or critical red-listed species) for each forest management category and tree species. Tree species on which traps were mounted had the largest effect on beetle communities; oaks had the most highly associated beetle species, including most of the red-listed species, followed by Norway spruce and Eurasian aspen. Most beetle species were more likely to be captured in near-natural than in mature managed forest. Our estimated associations were compatible ? for many species ? with categorical classifications found in several existing databases of saproxylic beetle preferences. These quantitative beetle-habitat associations will improve future analyses that have typically relied on categorical classifications. Our results highlight the need to prioritize conservation of near-natural forests and oak trees in Scandinavia to protect the habitat of many red-listed species in particular. Furthermore, we underline the importance of carefully considering the species of trees on which traps are mounted in order to representatively sample beetle communities in forest stands. |
Databáze: | OpenAIRE |
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