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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.

2024

Authors

Karin Juul Hesselsøe Trygve S. Aamlid

Abstract

No abstract has been registered

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Authors

Marian Schönauer Stephan Hoffmann Lorenz Breinig Thilo Wagner Filippo Guerra Dirk Jaeger

Abstract

No abstract has been registered

Authors

Adriana Dorota Osinska Ahmed Bargheet Agnieszka Cuprys Ida Marie Luna Fløystad Hans Geir Eiken Kenneth William Lindstedt Veronika Kucharová Pettersen Arnfinn Sundsfjord Yngvild Wasteson

Abstract

No abstract has been registered

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Authors

Henk Maessen Siv Mari Aurdal Tomasz Leszek Woznicki Krzysztof Kusnierek Trond Haraldsen Anita Sønsteby

Abstract

No abstract has been registered

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Authors

Markus Koch Mikael Forsman Henrik Enquist Henrik Baare Olsen Karen Søgaard Gisela Sjøgaard Tove Maria Østensvik Petter Nilsen Lars Louis Andersen Markus Due Jacobsen Mikkel Brandt Rolf Westgaard Paul Jarle Mork Xuelong Fan Morten Wærsted Kaj Bo Veiersted

Abstract

No abstract has been registered

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Authors

Frank T. Ndjomatchoua Ritter Atoundem Guimapi Luca Rossini Byliole S. Djouda Sansao A. Pedro

Abstract

No abstract has been registered

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Authors

Adam Eindride Naas Lasse Torben Keetz Rune Halvorsen Peter Horvath Ida Marielle Mienna Trond Simensen Anders Bryn

Abstract

There is an increasing need for ecosystem-level distribution models (EDMs) and a better understanding of which factors affect their quality. We investigated how the performance and transferability of EDMs are influenced by 1) the choice of predictors and 2) model complexity. We modelled the distribution of 15 pre-classified ecosystem types in Norway using 252 predictors gridded to 100 × 100 m resolution. The ecosystem types are major types in the ‘Nature in Norway' system mainly defined by rule-based criteria such as whether soil or specific functional groups (e.g. trees) are present. The predictors were categorised into four groups, of which three represented proxies for natural, anthropogenic, or terrain processes (‘ecological predictors') and one represented spectral and structural characteristics of the surface observable from above (‘surface predictors'). Models were generated for five levels of model complexity. Model performance and transferability were evaluated with data collected independently of th

Authors

Habtamu Alem Subal Chandra Kumbhakar Fikru Kefyalew Alemayehu

Abstract

No abstract has been registered

Authors

Habtamu Alem

Abstract

No abstract has been registered

Authors

Carl-Fredrik Johannesson Klaus Steenberg Larsen Hanna Marika Silvennoinen Holger Lange Jenni Nordén

Abstract

No abstract has been registered