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2017

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Sammendrag

Nine species of carabid beetles (Coleoptera, Carabidae) were pitfall-trapped during two years in an alpine glacier foreland of southern Norway. A two-year (biennial) life cycle was documented for Nebria nivalis (Paykull, 1790), N. rufescens (Ström, 1768), and Patrobus septentrionis Dejean, 1828. This was based on the simultaneous hibernation of larvae and adults. In P. septentrionis, both larvae and adults showed a considerable activity beneath snow. A limited larval material of Amara alpina (Paykull, 1790) and A. quenseli (Schönherr, 1806) from the snow-free period indicated larval hibernation. A. quenseli was, however, not synchronized with respect to developmental stages, and its life cycle was difficult to interpret. Measurements of claw lengths in eight species showed a considerable wearing during adult life. The data indicated that some individuals might hibernate a second time and thus experience two egg-laying seasons. Wearing of mandible tooth was not suited as age indictor in Nebria nivalis and N. rufescens, since some individuals hatched with a small tooth. Supplied with literature data, a “niche profile” is presented for each species. The most important ecological factors that contributed to niche segregation were: preference for vegetation-free ground, occurrence along the successional and time gradient, humidity or temperature preference, nocturnal versus diurnal activity, flight ability, food habits, phenology, and the ability to be active under snow.

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Sammendrag

The main objective of this work was to analyse how increased harvesting for bioenergy production might affect other Ecosystem Services (ES) in two Norwegian municipalities (Ringsaker and Voss). The aim was to identify locations where synergies or conflicts between ES could be expected. The spatial distribution of eight different ES (3 provision, 3 regulation and 2 cultural services) was modelled using information provided by land use spatial databases and additional data sources. Model parameters were set by integrating existing research and expert knowledge. Maps showing the level of provision of ES were analysed using a moving window to analyse scale dependence in the spatial distribution of ES provision. Map algebra was then used to identify areas providing multiple ES, thus defining the most important areas on which to focus the management of both synergies and trade-offs. Finally, specific ‘binary bundles’ maps, where bioenergy provision was compared with each of the other ES, were developed. The methodology proved its utility to assess the compatibility of bioenergy uses with other services. This straightforward approach is readily replicable in other regions and can be used as a decision support tool for planning and designing provision areas, and to ensure sustainable forest management approaches.