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.
2018
Authors
Anett Kristin Larsen Ingebjørg Helena Nymo Karen Kristine Sørensen Marit Seppola Rolf Rødven María Pilar Jiménez de Bagüés Sascha Al Dahouk Jacques GodfroidAbstract
No abstract has been registered
Authors
Carrie Joy Andrew Einar Heegaard Alan C. Gange Beatrice Senn-Irlet Simon Egli Paul M. Kirk Ulf Büntgen Håvard Kauserud Lynne BoddyAbstract
As citizen science and digitization projects bring greater and larger datasets to the scientific realm, wemust address the comparability of results across varying sources and spatial scales. Independentlyassembled fungal fruit body datasets from Switzerland and the UK were available at large, national-scales and more intensively surveyed, local-scales. Phenology responses of fungi between these data-sets at different scales (national, intermediate and local) resembled one another. Consistently with time,the fruiting season initiated earlier and extended later. Phenology better correlated across data sourcesand scales in the UK, which contain less landscape and environmental heterogeneity than Switzerland.Species-specific responses in seasonality varied more than overall responses, but generally fruiting startdates were later for most Swiss species compared with UK species, while end dates were later for both.The coherency of these results, across the data sources, supports the use of presence-only data obtainedby multiple recorders, and even across heterogeneous landscapes, for global change phenology research.
Authors
Ari Hietala Isabella Børja Hugh B. Cross Nina Elisabeth Nagy Jørn Henrik Sønstebø Volkmar Timmermann Adam Vivian-Smith Halvor SolheimAbstract
No abstract has been registered
Abstract
No abstract has been registered
Abstract
Questions : Land-cover maps are used for nature management, but can they be trusted? This study addresses three questions: (1) what is the magnitude of between field worker inconsistencies in land-cover maps and what may cause such inconsistencies; (2) in which ways and to what extent do spatial scale and mapping system influence inconsistencies between maps; and (3) are some biomes mapped more consistently than others, and if so, why? Location : Gravfjellet, Øystre Slidre municipality, southern Norway. Methods : Two different mapping systems, designed for mapping at different spatial scales, were used for parallel mapping by three different field workers, giving a total of six maps for the study area. Spatial consistency of the resulting maps was compared at two hierarchical levels for both systems. Results : The average pair-wise spatial consistency at the highest hierarchical level was 83% for both systems, while the average pair-wise spatial consistency at the lowest hierarchical level was 60.3% for the coarse system and 43.8% for the detailed system. Inconsistencies between maps were partly caused by the use of different land- cover units and partly by spatial displacement. Conclusions : Field workers made different maps despite using the same mapping systems, materials and methods. The differences were larger at lower hierarchical levels in the mapping systems and increased strongly with system complexity. Consistency among field workers should be estimated as a standard quality indicator in all field-based mapping programmes.
Authors
Ketil HaarstadAbstract
Three treatment systems for wastewater from two landfills, one active and one closed, and an industrial location including a quarry have been monitored continuously for over a decade. The wastewater from the active landfill is infiltrated through an extensive unsaturated zone into groundwater and subsequently into a large river system. The wastewater from the closed landfill is treated in a constructed wetland (CW) and the industrial low-grade wastewater in filter dams. The treatment systems operate well with the specific wastewaters, high-concentration leachate from waste in infiltration systems, low-concentration leachate in constructed wetlands, and wastewater from inert waste in filter dams. The landfilling of organic waste was restricted to low limit values for more than a decade ago, but it is hard to see any changes in leachate due to changes in waste landfilling regulations. The heavy carbon stable isotope 13C is useful in tracing landfill leachate and to evaluate dilution into other water bodies. The adding of P to the aeration pond treating low-concentration leachate did not help in the removal of N; on the contrary, the concentration of ammonia was sharply decreased when the adding of P was discontinued.
Abstract
No abstract has been registered
Abstract
Over their life course, people change their consumption habits when prices, income, tastes or nutritional needs change. The time period during which an individual grew up is often reflected in his or her consumption of different types of food. To investigate the possible links between demographic changes and food consumption, we constructed two-step censored demand systems for different groups of foods. We estimated the systems using Norwegian data for the 1986 – 2012 period. In the systems, age, period, cohort, other demographic and economic variables are included. The estimated systems are used to construct a long-run forecasting model for meat and dairy products. In this model, younger cohorts replace older cohorts with a different consumption pattern. The total purchases of beef, lamb, pork and fluid milk are predicted to decrease, while the total purchases of chicken, yoghurt and cheese are predicted to increase towards 2027.
Authors
Carrie Joy Andrew Rune Halvorsen Einar Heegaard Thomas W. Kuyper Jacob Heilmann-Clausen Irmgard Krisai-Greilhuber Claus Bässler Simon Egli Alan C. Gange Klaus Høiland Paul M. Kirk Beatrice Senn-Irlet Lynne Boddy Ulf Büntgen Håvard KauserudAbstract
Aim:Macroecological scales of species compositional trends are well documentedfor a variety of plant and animal groups, but remain sparse for fungi, despite theirecological importance in carbon and nutrient cycling. It is, thus, essential to under-stand the composition of fungal assemblages across broad geographical scales andthe underlying drivers. Our overall aim was to describe these patterns for fungiacross two nutritional modes (saprotrophic and ectomycorrhizal). Furthermore, weaimed to elucidate the temporal component of fruiting patterns and to relate theseto soil carbon and nitrogen deposition. Location:Central and Northern Europe.Methods:A total of 4.9 million fungal fruit body observations throughout Europe,collected between 1970 and 2010, were analysed to determine the two main envi-ronmental and geographical gradients structuring fungal assemblages for two mainnutritional modes, saprotrophic and ectomycorrhizal fungi. Results:Two main gradients explaining the geography of compositional patternswere identified, for each nutritional mode. Mean annual temperature (and relatedcollinear, seasonal measures) correlated most strongly with the first gradient forboth nutritional modes. Soil organic carbon was the highest correlate of the second compositional gradient for ectomycorrhizal fungi, suspected as an indicator of vege-tation- and pH-related covariates. In contrast, nitrogen deposition constituted asecond gradient for saprotrophic fungi, likely a proxy for anthropogenic pollution.Compositional gradients and environmental conditions correlated similarly whenthe data were divided into two time intervals of 1970–1990 and 1991–2010.Evidence of compositional temporal change was highest with increasing elevationand latitude. Main conclusions:Fungal assemblage patterns demonstrate clear biogeographicalpatterns that relate the nutritional modes to their main environmental correlates oftemperature, soil organic carbon and nitrogen deposition. With respect to globalchange impacts, the highest rates of compositional change by time suggest targetinghigher latitudes and elevations for a better understanding of fungal dynamics. We,finally, suggest further examination of the ranges and dispersal abilities of fungi tobetter assess responses to global change.
Authors
Milan Flach Sebastian Sippel Fabian Gans Ana Bastos Alexander Brenning Markus Reichstein Miguel D. MahechaAbstract
Combined droughts and heatwaves are among those compound extreme events that induce severe impacts on the terrestrial biosphere and human health. A record breaking hot and dry compound event hit western Russia in summer 2010 (Russian heatwave, RHW). Events of this kind are relevant from a hydrometeorological perspective, but are also interesting from a biospheric point of view because of their impacts on ecosystems, e.g., reductions in the terrestrial carbon storage. Integrating both perspectives might facilitate our knowledge about the RHW. We revisit the RHW from both a biospheric and a hydrometeorological perspective. We apply a recently developed multivariate anomaly detection approach to a set of hydrometeorological variables, and then to multiple biospheric variables relevant to describe the RHW. One main finding is that the extreme event identified in the hydrometeorological variables leads to multidirectional responses in biospheric variables, e.g., positive and negative anomalies in gross primary production (GPP). In particular, the region of reduced summer ecosystem production does not match the area identified as extreme in the hydrometeorological variables. The reason is that forest-dominated ecosystems in the higher latitudes respond with unusually high productivity to the RHW. Furthermore, the RHW was preceded by an anomalously warm spring, which leads annually integrated to a partial compensation of 54% (36% in the preceding spring, 18% in summer) of the reduced GPP in southern agriculturally dominated ecosystems. Our results show that an ecosystem-specific and multivariate perspective on extreme events can reveal multiple facets of extreme events by simultaneously integrating several data streams irrespective of impact direction and the variables' domain. Our study exemplifies the need for robust multivariate analytic approaches to detect extreme events in both hydrometeorological conditions and associated biosphere responses to fully characterize the effects of extremes, including possible compensatory effects in space and time.