Eva Solbjørg Flo Heggem

Chief Engineer

(+47) 476 84 108
eva.heggem@nibio.no

Place
Ås O43

Visiting address
Oluf Thesens vei 43, 1433 Ås

Abstract

Climate change is already reducing carbon sequestration in Central European forests dramatically through extensive droughts and bark beetle outbreaks. Further warming may threaten the enormous carbon reservoirs in the boreal forests in northern Europe unless disturbance risks can be reduced by adaptive forest management. The European spruce bark beetle (Ips typographus) is a major natural disturbance agent in spruce-dominated forests and can overwhelm the defences of healthy trees through pheromone-coordinated mass-attacks. We used an extensive dataset of bark beetle trap counts to quantify how climatic and management-related factors influence bark beetle population sizes in boreal forests. Trap data were collected during a period without outbreaks and can thus identify mechanisms that drive populations towards outbreak thresholds. The most significant predictors of bark beetle population size were the volume of mature spruce, the extent of newly exposed clearcut edges, temperature and soil moisture. For clearcut edge, temperature and soil moisture, a 3-year time lag produced the best model fit. We demonstrate how a model incorporating the most significant predictors, with a time lag, can be a useful management tool by allowing spatial prediction of future beetle population sizes. Synthesis and Applications: Some of the population drivers identified here, i,e., spruce volume and clearcut edges, can be targeted by adaptive management measures to reduce the risk of future bark beetle outbreaks. Implementing such measures may help preserve future carbon sequestration of European boreal forests.

Abstract

I 2019 års kartlegging av furuvednematoden Bursaphelenchus xylophilus i Norge ble 400 prøver tatt fra hogstavfall og vindfall av Pinus sylvestris L. med angrep av furubukk Monochamus spp. Prøvene ble tatt ut i Akershus, Buskerud, Østfold, Telemark, Aust-Agder og Vest-Agder. Prøvene som besto av flis ble inkubert ved +25oC i to uker før de ble ekstrahert med Baermanntrakt og undersøkt i mikroskop. Furuvednematoden B. xylophilus ble ikke påvist i prøvene, men den naturlig forekommende arten Bursaphelenchus mucronatus kolymensis ble oppdaget i fire prøver fra Agderfylkene. Feller med feromoner for fangst av furubukk ble satt opp i Hedmark (Elverum, Romedal, Stange og ved Geitholmsjøen), Møre og Romsdal (Kvanne) og Østfold (Fredrikstad og Vestby). I laboratoriet ble billene kuttet i biter og ekstrahert med en modifisert Baermanntrakt. Suspensjonen fra ekstraksjonene ble undersøkt i stereomikroskop for forekomst av infektive stadier av Bursaphelenchus spp.. Ingen nematoder kunne påvises i de 106 undersøkte billene. I perioden 2000 – 2019 er totalt 8123 vedprøver analysert. Flest prøver er tatt i Østfold, fulgt av Hedmark, Telemark, Buskerud og Aust-Agder. I kartleggingen 2019 ble B. mucronatus kolymensis påvist i fire av de 400 vedprøvene, tilsvarende en frekvens på 0,01 (1 %). For hele perioden 2000 - 2019 ble Bursaphelenchus mucronatus kolymensis + B. macromucronatus, oppdaget i 73 av 8123 vedprøver som gir en eteksjonsfrekvens på 0,009 (ca. 1 %). I perioden 2014-2019 har Bursaphelenchus mucronatus kolymensis blitt påvist fem av totalt 581 biller, som gir den samme frekvensen som for vedprøver. B. mucronatus kolymensis og B. macromucronatus likner på B. xylophilus i generell biologi og habitatvalg. Hvis vi antar en hypotetisk frekvens i forekomsten til B. xylophilus som er 100 ganger lavere enn for disse naturlig forekommende nematodene, dvs. 0,00009, kan det antall prøver som trengs for en påvisning av B. xylophilus med 95 % konfidensintervall estimeres til 30 801. Dette indikerer at vi i dag hypotetisk sett har nådd bare 26 % av det antall prøver som trengs for å kunne erklære Norge fri for furuvednematoden B. xylophilus.

Abstract

The Norwegian CORINE land cover (CLC2000) was completed autumn 2008. The CLC map was generated automatically from a number of dataset using GIS-techniques for map generalisation. The CLC map has a coarse resolution and it is also using a classification system developed in an environment very different from the Nordic. It is therefore interesting to evaluate both content and correctness of CLC. This study shows that there is a good resemblance between the CLC classes and detailed, large scale maps. The diversity in classes on the other hand, is lost due to the CLC classification system.

Abstract

CORINE Land Cover (CLC) is a seamless European land cover vector database. The Norwegian CLC2000 was completed by the Norwegian Forest and Landscape Institute (Skog og landskap) in 2008 and was produced from existing national land cover datasets wherever available. CLC has a standardized nomenclature with 44 classes. 31 classes are represented in the Norwegian dataset. CLC is a small scale map showing built up areas, agriculture, forest and semi-natural areas, wetlands and water bodies. CLC has a minimum mapping unit of 25 ha. CLC2000 can be used for visualization of the general land cover patterns in Norway at a scale 1:250 000 or smaller. CLC2000 is representing the land cover situation close to year 20001. This report presents the Norwegian CLC2000 project and the methods and automatic generalization processes that were used in the project. CORINE Land Cover is one of four land cover maps (AR5, AR50, AR250 and CLC) published by Skog og landskap. CLC2000 was produced with support from the European Environmental Agency (EEA) who has joint ownership to the product....