Norway: projects/activities

Monitoring of the salmon stocksof the Teno and Näätämö river systems is based on long term data collection on juvenile salmon production, biological characteristics of the spawning stock, origin of salmon (wild/reared) and statistics on fishery and catches. Information on other fish species than salmon is also available.

The aim of this research program is to examine the response of animal populations to environmental variability at different spatial scales. We attempt to determine how individuals respond to the spatial heterogeneity of their environment, and what are the consequences of this response for the dynamics of subdivided populations. Specifically, we consider an ecological system involving biotic interactions at three levels: seabirds, their tick _Ixodes uriae_, and the microparasite _Borrelia burgdorferi_ sensu lato (Lyme disease agent). Colonies of seabirds represent discrete entities, within and among which parasites can circulate. Our previous work on this system in the norwegian arctic has enable us to show that (1) host dispersal can be affected by local conditions, (2) seabird tick populations are specialised among different host species, namely between sympatric kittiwakes _Rissa tridactyla_ and puffins _Fratercula arctica_, (3) in the kittiwake, females transmit antibodies against _Borrelia burgdorferi_ when their chicks have a high probability to be exposed to the tick vector. We propose to combine different approaches, incorporating field surveys and experiments and population genetic studies (of hosts and parasites), in order to better understand the role of local interactions and dispersal in the dynamics of such a system. The research program implies collaborations with researchers from other french groups, as well as with Canadian (Queen’s University) and Norwegian colleagues (from NINA and the University of Tromsø).

Population monitoring of Gyrfalcon, Golden Eagle, Willow Grouse and Passerine birds

In 1990, the Directorate for Nature Management (DN) established an area for integrated monitoring within Børgefjell National Park, Røyrvik, N Trøndelag. Studies of vegetation-environment relationships in the area was performed by NINA. The area includes both subalpine birch forest and low alpine heath. The new established vegetation investigation included all together 80 different species. This material was processed numerically by using multivariate methods. Indirect gradient analyses were performed using Detrended Correspondence Analysis (DCA) and Local Nonmetric Multidimentional Scaling (LNMDS). Direct gradient analyses were performed by using rescaled hybrid Canonical Correspondence Analysis (CCA). Non-parametric correlation analyses, Kendall’s , were performed between environmental parameters and DCA axis values. The results of the numerical and statistical processing were used partly to provide a description of the vegetational structure in the material and partly to quantify how much each ecological parameters contributed to determination of vegetational structure. This work shows the species distribution along various complex gradients; moisture, nutrient conditions, light etc. The investigation is primarily designed to study vegetation dynamics along these gradients and whether changes in the number of species can be related to changes in physical, biotic and, not least, chemical parameters. Variance analysis was performed to assess to what extent the sample plots tends move in a determined direction from 1990 to 1995. The variation between the years were not significant along the primary complex gradients, but there were a significant displacement of species along the following gradients. The most important species were: Vaccinium vitis-idaea, Melampyrum sylvaticum and Hylocomium splendens), which showed an increase and some cryptogams like Brachythecium reflexum, B. salebrosum and Cladonia ecmocyna which declined.