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.
2026
Forfattere
Erlend Hustad Honningdalsnes Erik Stensrud Marstein Helge Bonesmo Dag Lindholm Jonathan Rizzi Heine Nygard RiiseSammendrag
No abstract has been registered
Sammendrag
SUMMARY: This report presents the outcomes of a technical assignment carried out under the Forest Landscape Restoration (FLR) Project in Amhara, Ethiopia (2019–2024). The assignment aimed to develop a practical, remote sensing-based methodology for monitoring vegetation cover change in exclosure areas—sites designated for natural regeneration by excluding human and livestock activity. The assignment also included capacity building to strengthen local expertise in applying these monitoring methods. NORWEGIAN SUMMARY: Denne rapporten presenterer resultatene av et teknisk oppdrag utført under Forest Landscape Restoration (FLR) prosjektet i Amhara, Etiopia (2019–2024). Målet med oppdraget var å utvikle en praktisk, fjernmålingsbasert metodikk for å overvåke endringer i vegetasjonsdekke i eksklusjonsområder—områder som er utpekt for naturlig regenerering ved å ekskludere menneskelig og husdyraktivitet. Oppdraget inkluderte også kapasitetsbygging for å styrke lokal ekspertise i anvendelsen av disse overvåkingsmetodene.
Forfattere
Diress Tsegaye Alemu Jonathan Rizzi Ulrike Bayr Misganu Debella-Gilo Richard Adade Denis W. Aheto Belachew Gizachew ZelekeSammendrag
Extensive ecosystem degradation along the coastal areas of Ghana highlights the need for targeted landscape restoration. This study identified areas with high restoration potential by evaluating environmental, climatic, and anthropogenic determinants of mangrove distribution. We tested multiple habitat suitability models, including Random Forest (RF), Generalized Additive Model (GAM), Generalized Linear Model (GLM), Maximum Entropy (MaxEnt), and an ensemble approach. Mangrove occurrence records were compiled from field observations, drone-derived data, and publicly available biodiversity and mapped datasets. The ensemble GAM-RF model emerged as the most robust model, with the highest predictive performance. Hydrological and topographic factors were the strongest predictors of mangrove habitat suitability, particularly proximity to rivers and the coastline, low-elevation terrain (<5 m asl), and temperature-related bioclimatic variables, while precipitation metrics and anthropogenic proxies played secondary roles. Using the ensemble approach, the estimated potentially suitable habitat ranged from 417 to 1313 km2, indicating that substantial areas remain available for mangrove restoration. These findings align with ongoing national and international restoration initiatives, including the coastal restoration plan, and have important implications for coastal protection, carbon sequestration, fisheries habitat, and local livelihoods. Our findings demonstrate that multi-model habitat suitability analyses can guide spatially targeted, and evidence-based restoration planning.
Forfattere
Junbin Zhao Mounir Takriti Per-Erik Jansson Ed Jones Mikhail Mastepanov Erling Fjelldal Cornelya Klutsch David Kniha Runar Kjær Simon Weldon Kjetil Fadnes Knut Bjørkelo Jonathan Rizzi Christian Wilhelm Mohr Gunnhild Søgaard Jagadeesh YeluripatiSammendrag
Abstract Peatlands drained for agriculture and other uses release substantial carbon dioxide. Many countries estimate these emissions using the 2014 IPCC Tier 1 emission factors. Here we calibrated an ecosystem model with data from two cultivated peatland sites in Norway and simulate carbon dioxide emissions at 50 sites nationwide for 2001–2022. Model results showed that carbon dioxide emissions were strongly controlled by water table depth and aligned well with observations from other European peatlands of similar climate zones. Crucially, the Tier 1 emission factor matched our simulations only under very deep water tables (< –0.7 m), but overestimated emissions by 31–88% when water levels ranged from –0.7 m to –0.3 m. This indicates that Tier 1 methods may overstate emissions from cultivated peatlands in cool temperate and boreal regions, inflating estimates of mitigation potential. Tier 2 or 3 approaches can reduce uncertainty but require more field data.
Sammendrag
In Norway, agroclimatic zones (ACZs) are a valuable tool for national analyses in subject areas concerning the optimized management of agricultural land resources. However, current Norwegian ACZs have been criticized for having an outdated standard climate normal (1931–1960), a limited representation of the local climatic variation, a lack of important model parameters, and weak methodological documentation. Therefore, this paper presents new ACZs for Norway that address these weaknesses. The most significant methodological updates are the use of the standard climate normal of 1991–2020, additional weather data variables, the downscaling of weather data to 250 m hexagons, and the incorporation of phenological crop models for spring wheat, spring barley, and forage grass. The grass model was calibrated with the number of grass harvests at research stations, while the grain models were calibrated with subsidy claim data. The modeled zones for the three crops were combined into the general ACZs. Example maps of the crop zones and new ACZs for the selected regions and the whole country are presented. The new ACZs are more robust, agronomically relevant, and better aligned with the current climatic conditions in Norway. The deliberate exclusion of factors other than climate ensures the new ACZs’ national comparability and their applicability in policy development, land-use planning, climate adaptation, and agronomic assessments at the national scale.
Sammendrag
In East Africa, including Tanzania, the vast majority of the population relies on fuelwood for domestic energy consumption, particularly for cooking. This heavy dependence on biomass has significant implications for forest resources, contributing to forest disturbances, but has not been sufficiently investigated until now. This study aims to explore these dynamics in Mainland Tanzania between 2001 and 2023 by assessing Tree Cover Loss, Above-Ground Biomass, biomass loss and demand trends, and evaluating the fraction of Non-Renewable Biomass. The study integrates remote sensing data from Global Forest Watch, national household budget surveys, and published literature, applying geospatial analysis and statistical modelling. Results showed that between 2001 and 2023 AGB declined, with a consistent drop in biomass density. Total Biomass Loss rose from 39 Mt in 2001 to 70.1 Mt in 2022, while Total Biomass Demand surged from 22.6 to 55.4 Mt. The gap between supply and demand narrowed slightly, suggesting a possible increase in resource use efficiency for energy provision. Out of 26 regions, 11 are net consumers, and 15 are net suppliers. This illustrates the uneven distribution of biomass resources and demand nationwide. The fraction of Non- Renewable Biomass rose from 23.8% in 2001 to 34.1% in 2012 and then stabilized. About 79% of this in 2022 was due to cooking-related biomass demand, highlighting unsustainable biomass use. Overall, this study offers critical insights into forest resource use in Tanzania, with implications for sustainable management and climate policy. The refined estimates of biomass dynamics and fraction of Non-Renewable Biomass support more targeted, data-driven decision-making. While limitations exist, the results emphasize the need for better monitoring to support sustainable energy and forestry strategies.
2025
Sammendrag
No abstract has been registered
Forfattere
Junbin Zhao Holger Lange Christian Wilhelm Mohr Cornelya Klutsch Simon Weldon Jonathan Rizzi Gunnhild Søgaard Hanna Marika Silvennoinen Teresa Gómez de la BárcenaSammendrag
Jordrespirasjonsmålinger på Svanhovd og dens modellering
Sammendrag
Studien undersøker hvordan vegetasjonsdekke (NDVI) og overflaterefleksjon (albedo) varierer gjennom året i norske utmarksområder som er beitet og ubeitet. Utmarkene har stor betydning for beitebruk, biologisk mangfold og karbonlagring, men endringer i landbruk og redusert beitepress påvirker vegetasjonen og kan ha klimakonsekvenser. Analysen bygger på satellittdata fra 18 lokaliteter i perioden 2019–2023. Resultatene viser tydelige sesongmønstre: NDVI er lav om vinteren og høy om sommeren, mens albedo er høy i snødekte perioder og lav når vegetasjon dominerer. Det ble ikke funnet signifikante forskjeller mellom beitede og ubeitede områder samlet sett, selv om enkelte lokaliteter viste små variasjoner. Dette tyder på at sesong og fenologi har større betydning enn beite, og at metodiske begrensninger – særlig grov oppløsning i albedodata – kan maskere lokale effekter. Studien anbefaler bruk av høyoppløselige data og mer avanserte metoder for å bedre forstå klimaeffektene av endret beitebruk.
Forfattere
Christian Pedersen Svein Olav Krøgli Shivesh Karan Svein Dale Grete Stokstad Diress Tsegaye AlemuSammendrag
Over recent decades, farmland and meadow-breeding bird populations in Europe have markedly declined, attributed to factors like agricultural intensification and land abandonment. Parts of the Norwegian Monitoring Programme for Agricultural Landscapes explore the correlation between land use and bird species, aiming to understand how spatial heterogeneity and land use diversity affect the richness, abundance, and distribution of farmland birds. Between 2000 and 2023, we saw declining populations and reduced distributions of several farmland bird species within the monitoring squares. Additionally, we found that both spatial heterogeneity of land use and high land type diversity positively influenced farmland birds. This gives important insight on how to design biodiverse agricultural landscapes. We also examined the impact of agricultural intensity on 25 farmland bird species, using livestock density and pasture size as indicators. Larger pastures generally benefited a wide range of farmland bird species. Different bird species responded variably to livestock numbers, but high livestock density led to a decrease in overall farmland bird abundance. Many countries subsidize sustainable farming to protect biodiversity. We studied Norwegian agri-environmental schemes' impact on farmland and meadow-breeding birds. We found that bird observations rose when these measures were in place but often declined once the support ended. Furthermore, the schemes were geographically limited and relatively few farmers participated. While short-term benefits were evident, long-term effects remain uncertain, highlighting the need for improved conservation strategies. Emphasizing the importance of spatially heterogeneous agricultural landscapes with high land type diversity and natural areas, the study indicates the type of agricultural landscapes we should be aiming for to maintain and restore biodiversity.