Publikasjoner
NIBIOs ansatte publiserer flere hundre vitenskapelige artikler og forskningsrapporter hvert år. Her finner du referanser og lenker til publikasjoner og andre forsknings- og formidlingsaktiviteter. Samlingen oppdateres løpende med både nytt og historisk materiale. For mer informasjon om NIBIOs publikasjoner, besøk NIBIOs bibliotek.
2018
Sammendrag
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Sammendrag
The Baltic region includes in this report Fennoscandia (Norway, Sweden, Finland, Denmark), the Baltic states (Estonia, Latvia, Lithuania) and Poland. This region is fairly heterogeneous as regards forest history, forest policy, forest economy as well as climate and conditions for forest growth. The climate of the Baltic region is cool, but still drastically modified by the Gulfstream which skirts the western coast of Scandinavia, giving rise to much warmer summers and milder winters than expected based on the latitude. The warming associated with climate change is expected to be particularly pronounced in winter and at high latitudes. In coastal areas precipitation may increase notably. With elevated temperature, the frequency of both spring frost and drought events is predicted to increase in continental parts. The vegetation and forest types are heterogeneous. Fennoscandia has a large proportion of boreal vegetation where coniferous forests dominate and many broadleaves common in Central Europe are rare and scattered. In the Baltic region the most distinct marginal populations are those at the northern fringe of their distribution. The distribution ranges are limited by a combination of different factors such as low winter temperatures, short growing season either for growth or for seed maturation, soil types and human influence. Fragmentation may limit gene flow between stands, and some populations also show slight inbreeding. The countries in the region have protected jointly 4,9 M ha in the main MCPFE categories. The northern part of the region seems to put more weight on nature conservation through no intervention whereas the southern part emphasizes conservation through active management. The countries of the Baltic region have uploaded altogether 1'172 in situ genetic conservation units in the European Information System on Forest Genetic Resources (EUFGIS).
Sammendrag
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Forfattere
Camilo Chiang Oda Toresdatter Aas Marianne Rindedal Jetmundsen YeonKyeong Lee Sissel Torre Inger Sundheim Fløistad Jorunn Elisabeth OlsenSammendrag
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Forfattere
Mark McMullan Maryam Rafiqi Gemy Kaithakottil Bernardo J. Clavijo Lorelei Bilham Elizabeth Orton Lawrence Percival-Alwyn Ben J. Ward Anne Edwards Diane G.O. Saunders Gonzalo Garcia Accinelli Jonathan Wright Walter Verweij Georgios Koutsovoulos Kentaro Yoshida Tsuyoshi Hosoya Louisa Williamson Philip Jennings Renaud Ioos Claude Husson Ari Hietala Adam Vivian-Smith Halvor Solheim Dan MaClean Christine Fosker Neil Hall James K.M. Brown David Swarbreck Mark Blaxter J. Allan Downie Matthew D. ClarkSammendrag
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Forfattere
Jan Pisek Henning Buddenbaum Fernando Camacho Joachim Hill Jennifer L.R. Jensen Holger Lange Zhili Liu Arndt Piayda Yonghua Qu Olivier Roupsard Shawn P. Serbin Svein Solberg Oliver Sonnentag Anne Thimonier Francesco VuoloSammendrag
Clumping index (CI) is a measure of foliage aggregation relative to a random distribution of leaves in space. The CI can help with estimating fractions of sunlit and shaded leaves for a given leaf area index (LAI) value. Both the CI and LAI can be obtained from global Earth Observation data from sensors such as the Moderate Resolution Imaging Spectrometer (MODIS). Here, the synergy between a MODIS-based CI and a MODIS LAI product is examined using the theory of spectral invariants, also referred to as photon recollision probability (‘p-theory’), along with raw LAI-2000/2200 Plant Canopy Analyzer data from 75 sites distributed across a range of plant functional types. The p-theory describes the probability (p-value) that a photon, having intercepted an element in the canopy, will recollide with another canopy element rather than escape the canopy. We show that empirically-based CI maps can be integrated with the MODIS LAI product. Our results indicate that it is feasible to derive approximate p-values for any location solely from Earth Observation data. This approximation is relevant for future applications of the photon recollision probability concept for global and local monitoring of vegetation using Earth Observation data.
Forfattere
Kjersti Holt HanssenSammendrag
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Sammendrag
This paper aimed to investigate the genetic structure (GS) of Scots pine in the northern area of its distribution range by means of seven neutral nuclear microsatellite markers. In particular, the postglacial recolonization of these areas and possible different adaptation patterns in distinct refugia were studied. The GS and diversity were assessed with seven pairs of neutral nuclear microsatellite primers. A high genetic diversity was found in the Scots pine material tested, along with a shallow GS. This pattern is typical for recolonized areas and species with large population sizes, which are connected by pollen-mediated gene flow. A STRUCTURE analysis found two genetic groups to be the most likely, one south-eastern and one north-western group that meet in Fennoscandia. This indicates that Scots pine recolonization of Fennoscandia might have taken place from two different directions (south-west and north-east). Scots pine that recolonized the area originated in at least two different refugia during the last glacial maximum. The glacial survival in distinct refugia can have led to different adaptation patterns and growth optima in the different groups as reflected in the formation of latewood content, where lineage was a significant influencing factor.
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Sammendrag
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