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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.

NIBIO's Scientific Publications →

2016

Authors

Svein Solberg Johannes May

Abstract

No abstract has been registered

Authors

Svein Solberg Lars Ulander

Abstract

No abstract has been registered

Authors

Svein Solberg Johannes May

Abstract

No abstract has been registered

Authors

Svein Solberg

Abstract

No abstract has been registered

To document

Authors

Erik Næsset Hans Ole Ørka Svein Solberg Ole Martin Bollandsås Endre Hofstad Hansen Ernest William Mauya Eliakimu Zahabu Rogers Malimbwi Nurdin Chamuya Håkan Olsson Terje Gobakken

Abstract

No abstract has been registered

Authors

Svein Solberg

Abstract

No abstract has been registered

Authors

Svein Solberg

Abstract

No abstract has been registered

To document

Authors

Ryan Bright Wiley Steven Bogren Pierre Bernier Rasmus Astrup

Abstract

No abstract has been registered

To document

Authors

Hong Yang Xianjin Huang Julian R. Thompson Ryan Bright Rasmus Astrup

Abstract

No abstract has been registered

To document

Authors

Clara Antón Fernández Blas Mola-Yudego Lise Dalsgaard Rasmus Astrup

Abstract

The present study aims to develop biologically sound and parsimonious site index models for Norway to predict changes in site index (SI) under different climatic conditions. The models are constructed using data from the Norwegian National Forest Inventory and climate data from the Norwegian meteorological institute. Site index was modeled using the potential modifier functional form, with a potential component (POT) depending on site quality classes and two modifier components (MOD): temperature and moisture. Each of these modifiers was based on a portfolio of candidate variables. The best model for spruce-dominated stands included temperature as modifier (R2 = 0.56). In the case of pine- and deciduous-dominated stands, the best models included both modifiers (R2 = 0.40 and 0.54 for temperature and moisture, respectively). We illustrate the use of the models by analyzing the possible shift in SI for year 2100 under one (RCP4.5) of the benchmark scenarios adopted by the Intergovernmental Panel on Climate Change for its fifth assessment report. The models presented can be valuable for evaluating the effect of climate change scenarios in Norwegian forests.