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
Authors
Andrius Kuliesis Stein Michael Tomter Claude Vidal Adrian LanzAbstract
Key message Quality and reliability of forest resource assessments depend on the ability of national forest inventories (NFIs) to supply necessary and high-quality data. Over the last decades and especially since the 1990s, the NFIs in European countries have been rapidly developing. Possibilities for obtaining reliable and accurate data on annual increment from different inventory types were evaluated, and sample-based inventories have been found to be superior to standwise inventories in providing reliable data. Simplified methods may be employed when increment cannot be directly estimated from inventory data. Context An increasing intensity of forest resource use requires more accurate, detailed and reliable information, not only on forest area and growing stock but also on forest stand productivity, wood increment and its components. Aims The main objectives were to assess the capacities of forest inventories, the methods used for estimation of gross increment and its components and their accuracy and to demonstrate an effective method for estimation of increment when direct inventory methods are not available. Methods Data about national forest inventory methods were obtained from 30 responses to a questionnaire, distributed amongst national correspondents of all European countries; reports of COST Actions E43 and FP 1001, databases of Temperate and Boreal Forest Resource Assessment (TBFRA) 2000 and State of Europe’s Forests (SoEF) 2011 were used as well. Analysis and comparison of results from different forest inventories were used for evaluation of data reliability. Relationships between growing stock and gross increment in European forests were also analysed, and corresponding models were proposed. Results Seventy-nine percent of European forest area is covered by national forest inventories (NFIs) based on sampling methods and the rest on stand-level inventory and other inventory methods. Data obtained by aggregating standwise data usually underestimate growing stock by 15–20 % and gross increment even more. Almost half of the European forest area (47 %) is monitored using permanent plots, measured twice or more, allowing the estimation of gross increment and its components to be made directly. Conclusion Implementation of NFIs based on sampling methods, especially with permanent plots, resulted in an improvement of data quality and in most cases an increase of growing stock and gross increment. The estimation of natural losses is the weakest link in today’s NFIs and in the current assessment of European forest resources. The proposed default values for gross increment and its components is an option to be used in countries not having NFI at all or those which have started it only recently.
Abstract
Accurate estimation of winter wheat frost kill in cold-temperate agricultural regions is limited by lack of data on soil temperature at wheat crown depth, which determines winter survival. We compared the ability of four models of differing complexity to predict observed soil temperature at 2 cm depth during two winter seasons (2013-14 and 2014-15) at Ultuna, Sweden, and at 1 cm depth at Ilseng and Ås, Norway. Predicted and observed soil temperature at 2 cm depth was then used in FROSTOL model simulations of the frost tolerance of winter wheat at Ultuna. Compared with the observed soil temperature at 2 cm depth, soil temperature was better predicted by detailed models than simpler models for both seasons at Ultuna. The LT50 (temperature at which 50 % of plants die) predictions from FROSTOL model simulations using input from the most detailed soil temperature model agreed better with LT50 FROSTOL outputs from observed soil temperature than what LT50 FROSTOL predictions using temperature from simpler models did. These results highlight the need for simpler temperature prediction tools to be further improved when used to evaluate winter wheat frost kill.
Authors
Jorunn BørveAbstract
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Authors
J.A.M. Janssen J.S. Rodwell M. García Criado S. Gubbay T. Haynes A. Nieto N. Sanders F. Landucci J. Loidi A. Ssymank T. Tahvanainen M. Valderrabano A. Acosta M. Aronsson G. Arts F. Attorre E. Bergmeier R.-J. Bijlsma F. Bioret C. Bita-Nicolae I. Biurrun M. Calix J. Capelo A. Carni M. Chytrý J. Dengler P. Dimopoulos F. Essl H. Gardfjell D. Petrucci Gigante G. Giusso del Galdo M. Hájek F. Jansen Jutta Kapfer A. Mickolajczak J.A. Molina Z. Molnár D. Paternoster A. Piernik B. Poulin B. Renaux Joop H.J. Schaminée K. Sumberova H. Toivonen T. Tonteri I. Tsiripidis R. Tzonev M. ValachovicAbstract
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The Eurasian spruce bark beetle Ips typographus is a major forest pest in Europe, capable of mass-attacking and killing mature Norway spruces over extensive areas during outbreaks. Recurring outbreaks over the last few centuries have affected Central and Northern Europe. Outbreaks tend to be periodic and are in many cases triggered by large wind-felling events. For example in Scandinavia several large outbreaks have been triggered by storm disturbances in the last 50 years. In Europe I. typographus is widespread where spruce hosts are found except for in the British Isles. Here we review the identification and biology of this insect and present information about its invasiveness and the potential of success in early detection and control of outbreaks. There are indications that a warmer climate will increase the risk for outbreaks in the northern range of spruce in Europe, where outbreaks so far have been rare. More outbreaks are also expected at the southern margin of the spruce distribution in Europe, where lower than average precipitation seems to generally favor infestations. Establishments outside Eurasia have not been found despite frequent interceptions at ports of entry. Our experiments showed that North American spruce species may be suitable hosts and we conclude that it cannot be ruled out that future establishment can result from repeated imports. The most efficient control option of storm-triggered outbreaks is removal of wind-felled trees before the new generation beetles emerge.
Authors
David N Barton Tom Andersen Olvar Bergland Alexander Engebretsen S. Jannicke Moe Geir I Orderud Koji Tominaga Eirik Romstad Rolf D VogtAbstract
The term “integrated valuation” is defined and its relevance is discussed in terms of bridging the gap between cost-effectiveness analysis and economic valuation in the implementation of the European Union Water Framework Directive. We demonstrate how to integrate benefit valuation with the ecosystem services cascade framework using an Object-Oriented Bayesian Network (OOBN). The OOBN is then used to assess the benefits of nutrient abatement measures across a cascade of submodels of the driver-pressure-state-impact-response (DPSIR) chain for the Vanemfjord lake in Morsa catchment in south-eastern Norway. The lake is part of a complex lake system in a semi-urbanized catchment dominated by forest and agriculture. The catchment has highly variable seasonal climatic conditions affecting nutrient run-off and algal blooms. It has been one of the most eutrophic lakes in Norway with periodic cyanobacteria blooms, but continues to attract a large recreational user population, despite the large variations in water quality. The “DPSIR-OOBN” model is used as a case study of “integrated valuation” and evaluated for its applicability for decision support in nutrient abatement. We find that the DPSIR-OOBN model meets seven of the nine criteria we propose for “integrated valuation”. The model struggles to meet the criteria that ecological, social and economic values should be defined consistently in relation to impacts on lake quality. While the DPSIR-OOBN integrates from valuation methods across an ecosystem cascade to management alternatives, it is neither a full benefit-cost analysis, nor a multi-criteria analysis. However, we demonstrate how the DPSIR-OOBN can be used to explore issues of consistency in scaling and weighting of different ecological, social and economic values in the catchment system. Bayesian belief networks offer a consistent approach to analysing how management implementation probability may determine economic valuation. We discuss the implication of our integrated valuation not being able to account for farmer responses, in particular the incentive effects of the model not being able to predict abatement effectiveness and value. The resolution of the nutrient monitoring data and modeling technologies that were at our disposal are probably better in the Morsa catchment than for any other catchment of this size in Norway. We therefore conclude that using our integrated valuation model for assessing benefits of eutrophication abatement measures as part of the EU Water Framework Directive still lies in the realm of utopia – euphemistically speaking a “eutropia”.
Authors
Asbjørn VeidalAbstract
No abstract has been registered