Invertebrate Community of Scots Pine Coarse Woody Debris in the Southwestern Pyrenees under Different Thinning Intensities and Tree Species

2020 
Background and Objectives: The forest in the Southwestern Pyrenees Mountains (Northern Spain) is mainly composed of pure Pinus sylvestris L. or a mix of P. sylvestris and Fagus sylvatica L. The most common forest management technique to harvest pine is the application of forest thinning with different intensities. It promotes a change in the forest composition and structure. Taking into consideration this region as a site specific research about this topic, we aimed to understand the CWD invertebrate composition response to different thinning intensities and canopy type of these tree species. Materials and Methods: CWD samples were collected belonging to intermediate and advanced decay classes, approximately 10 cm long and 5 cm in diameter. Using a design of three thinning intensities (0%, 20%, and 40% of basal area removed), with three replications per treatment (nine plots in total), four samples were taken per plot (two per canopy type) to reach 36 samples in total. Meso- and macrofauna were extracted from CWD samples with Berlese–Tullgren funnels, and individuals were counted and identified. Results: Most of the taxonomic groups belonged to mesofauna, mainly to Acari and Collembola orders. On the other hand, the macrofauna represented a minimum percentage of the community composition. Our results indicated that although thinning intensities did not significantly affect the invertebrate community, canopy type and CWD water content influenced significantly. It is imperative to consider in forest management the responses of canopy type and thinning intensities in CWD water content, this disturbance could also slow down the organic matter decomposition process in the soil, thus affecting in the long term the natural cycle of nutrients.
    • Correction
    • Source
    • Cite
    • Save
    • Machine Reading By IdeaReader
    9
    References
    0
    Citations
    NaN
    KQI
    []