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Publications

NIBIOs employees contribute to several hundred scientific articles and research reports every year. You can browse or search in our collection which contains references and links to these publications as well as other research and dissemination activities. The collection is continously updated with new and historical material.

2016

Abstract

The effect of abandonment of sheep grazing management in semi-natural grasslands were studied in 14 sites in Norway. Data of species and vegetation composition, functional traits and pollination resources were used as indicators for nine selected ecosystem services (ES). The majority of the ES were negatively affected by abandonment of sheep grazing management. We therefore conclude that abandonment diminishes delivery of ES.

To document

Abstract

In a landscape of fragmented private ownership, the need to coordinate game management across large areas presents challenges for landowners and public agencies alike. This paper describes how a recent reorganization of moose management in Norway achieves landscape-level planning while maintaining a tradition of local management by hunting teams. These two seemingly contradictory imperatives – coordinating wildlife management across large areas while keeping benefits and control in the hands of local resource users – are resolved through a nesting of management institutions, wherein the state serves a regulatory function and mid-level government (the county) serves to facilitate inter-local cooperation. This paper documents how the system is structured and describes the balance of incentives that enable the system to work. Information was gathered via interviews with staff at the Norwegian Directorate for Nature Management (now called the Norwegian Environment Agency), with wildlife management officials at the municipal level, with hunters, and from the most recent regulatory documents.

To document

Abstract

Process-based grassland models (PBMs) simulate growth and development of vegetation over time. The models tend to have a large number of parameters that represent properties of the plants. To simulate different cultivars of the same species, different parameter values are required. Parameter differences may be interpreted as genetic variation for plant traits. Despite this natural connection between PBMs and plant genetics, there are only few examples of successful use of PBMs in plant breeding. Here we present a new procedure by which PBMs can help design ideotypes, i.e. virtual cultivars that optimally combine properties of existing cultivars. Ideotypes constitute selection targets for breeding. The procedure consists of four steps: (1) Bayesian calibration of model parameters using data from cultivar trials, (2) Estimating genetic variation for parameters from the combination of cultivar-specific calibrated parameter distributions, (3) Identifying parameter combinations that meet breeding objectives, (4) Translating model results to practice, i.e. interpreting parameters in terms of practical selection criteria. We show an application of the procedure to timothy (Phleum pratense L.) as grown in different regions of Norway.