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
Abstract
No abstract has been registered
Authors
Habtamu Alem Diress Tsegaye Alemu Ibrahim Issifu Daniel D.N. Nortey Linda Bana Denis W. Aheto Belachew Gizachew ZelekeAbstract
Mangrove condition reflects interactions among ecological pressures, livelihood dependence, institutional arrangements, and biophysical constraints on regeneration. This study compares seven purposively selected rapid-appraisal sites in Ghana's Greater Amanzule Wetlands in the Western Region and the Lower Volta Delta. Evidence combines May 2025 site appraisals, 14 semi-structured interviews, three group discussions, spatial and secondary ecological information, and historical livelihood context from GLSS7 (2016–2017). Institutional functioning was assessed descriptively through rule recognition and participation, monitoring and responses to violations, and collective action, without assigning unsupported site-level scores. Visible disturbance was lower in the Western sites, with a median score of 2 (range 2–3), than in the Lower Volta sites, where the median was 4. Stakeholder accounts also indicated more consistently recognised rules and participation in the Western system, while implementation was described as less consistent in the Lower Volta. Monitoring responsibilities, frequency, and responses to violations were insufficiently documented in both systems, preventing comparison of monitoring effectiveness. Because governance evidence was primarily regional and sites were purposively selected, these findings represent a descriptive association between two coastal systems, not seven independent institutional observations or a causal institutional effect. Hydrology, hydroperiod, sediment supply, salinity, geomorphology, and the scale of pressure also condition disturbance and regeneration opportunities. Effective responses should therefore combine participatory rule implementation, collective action, transparent monitoring arrangements, livelihood measures, and restoration strategies matched to local biophysical conditions and the geographical scale of dominant stressors.
Authors
Diress Tsegaye Alemu Jonathan Rizzi Ulrike Bayr Misganu Debella-Gilo Richard Adade Denis W. Aheto Belachew Gizachew ZelekeAbstract
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.
Authors
Anaïs Zimmer Adrienne Grêt-Regamey Ignacio Palomo Carolina Adler Meryem Aakairi Marie Anière Fabien Anthelme Chloe Baruffa Bolette Bele Vincent Ralph Clark Aida Cuni-Sanchez Sebastian Eiter Richard Field WariNkwi Flores Katherine Hanly Jan Hartmann Amina Maharjan Sara Manuelli Dominic Andreas Martin Nelly Nambande Masayi Paula Mayer Graham McDowell Holly Moulton Anne Nolin Lydia Olaka Binaya Pasakhala Jorge Recharte Neema Robert Kinabo Luciana Rojas Hanne Sickel Lobzang Stanzen Peter John Taylor Irene Teixidor-Toneu Catherine Tucker Sabarnee Tuladhar Robert MarchantAbstract
No abstract has been registered
Abstract
No abstract has been registered
Abstract
This study has applied FAO’s resilience assessment tool «SHARP+» to 14 farm enterprises practicing mountain summer farming (stølsdrift) in the Valdres region, representing the first use of this tool in a Norwegian context. The questionnaire was adapted to better capture local agricultural practices and institutional conditions, and structured interviews with farm managers were conducted in November 2025. Technical resilience scores ranged from 4.9 to 7.4 out of 10 (mean 6.2), and self-assessed scores from 5.9 to 7.9 (mean 6.9). The strongest areas were Government and institutional support (9.3) and Education and knowledge (8.5). The weakest were Livestock nutrition (3.5), Reasonably profitable (3.8), and Globally autonomous and locally interdependent (3.2), pointing to structural constraints related to feed self-sufficiency, farm profitability, and dependence on external inputs. Self-assessed scores consistently exceeded technical scores, particularly in production-related modules. Farmers' stated priorities — climate adaptation, infrastructure, farm economy, cooperation, and policy — largely aligned with the weakest areas in the technical assessment. The 2018 drought was the most critical environmental event reported by ten of the fourteen interviewees during their career as farmers.
Authors
Desalegn Chala Diress Tsegaye Alemu Habtamu Alem Belachew Asalf Tadesse Melesse Eshetu_Moges Nega Tassie Abate Ayalew Wondie Aklilu Tilahun Tadesse Abebayehu Aticho Alemu Gonsamo Lanhui Wang Erick Lundgren Jeffrey Kerby Jens Christian SvenningAbstract
Abstract Water hyacinth is among the world’s most damaging aquatic invasive plants, forming dense mats that disrupt ecosystem functioning, fisheries, navigation, and livelihoods across tropical and subtropical freshwater systems. Its rapid spread is driven by clonal propagation, short life cycles, and prolific seed production, particularly under nutrient-enriched conditions. Although mechanical, chemical, and biological control methods are widely applied, their long-term effectiveness remains uncertain when underlying eutrophication persists. Here, we present a large-scale, one-time water hyacinth removal campaign in Lake Tana, Ethiopia’s largest lake and a UNESCO Biosphere Reserve, as a representative nutrient-rich tropical freshwater system. Using high-resolution satellite imagery, we quantified coverage one month before removal, one month after removal, and one year later. We integrated SWOT (Strengths, Weaknesses, Opportunities, Threats) analysis with a socio-ecological system map to assess mitigation mechanisms and identify sustainable management pathways capable of providing long-term solutions to halt water hyacinth proliferation in freshwater bodies. The campaign removed over 75% (~1271 ha) of water hyacinth, yet within one year the plant resurged to levels ~18% higher than pre-removal. This rebound highlights the ecological resilience of water hyacinth and the limitations of short term, noncontinuous control strategies. Our analysis identifies unmanaged catchment nutrient inputs as the primary driver of proliferation. Lake Tana serves as a model system demonstrating that water hyacinth functions less as a traditional invader and more as a bioindicator of eutrophication. We propose a transferable conceptual and methodological framework combining continuous removal, catchment-based nutrient management, and circular bioeconomy approaches, offering globally relevant lessons for sustainable management of nutrient-enriched tropical freshwater systems.
Abstract
Aim Four different grassland types of varying land-use intensity and history were investigated for changes in plant species composition and richness over a 7- to 10-year period. Shifts in species occurrence frequencies and species-specific indicator values for nectar production were analyzed to assess how vegetation changes may influence the availability of floral rewards. Location Norwegian mainland. Methods We utilized survey (2004–2008) and resurvey (2011–2018) data from the Norwegian Monitoring Program for Agricultural Landscapes, examining vegetation in managed and unmanaged grasslands from 538 permanent vegetation plots within 97 monitoring squares across Norway. Using species-specific indicator values for nectar production, we tested how compositional changes in vascular plant communities are reflected in the occurrence frequency and cover of pollen- and nectar-providing plants. Results Grassland species composition has slightly shifted toward communities more dominated by later successional species, particularly those associated with shadier and wetter conditions. Major changes in the occurrence frequencies of individual species suggest a decline in pollen and nectar production. Specifically, 29 of 40 species (72.5%) that showed significant decreases in frequency were flowering plants important for pollinators. Across all grassland types, the average cover of pollen- and nectar-producing plants has declined over time, indicating a reduction in floral resources available to pollinating insects. Conclusions Our findings indicate a gradual transition in grassland habitats toward conditions that may be less favorable to pollinators, as reflected by changes in species occurrence frequencies and plant cover. Additionally, plant species associated with moist environments are likely to increase in abundance under continued climate change. This study highlights the value of systematic grassland monitoring within agricultural landscapes as an effective tool for detecting vegetation changes, even over short time spans. Such monitoring supports timely decision-making and the implementation of targeted management strategies to preserve ecologically and economically important habitat types.
Authors
Terje Christensen Are Røysamb Ulrike Bayr Dieu Tien Bui Guðrún Helgadóttir Nina Johansen Joern Klein Mieke Cornelia Louwe Randi Mork Kyung Binn Noh Stefanie Reinhardt Trude Eid Robsahm Kristin Helen Roll Øyvind Steifetten Per Strömberg Gry Tengmark Østenstad Veronika ZaikinaAbstract
Abstract Energy-efficient lighting solutions, while beneficial for reducing energy consumption, also pose challenges in terms of light pollution. Light pollution, defined as excessive or misdirected artificial light, has become a significant environmental issue globally. This perspective paper explores the extent, effects, and knowledge gaps related to light pollution, with a focus on its impact on human health, ecosystems, and energy consumption. This study focuses on Norway, a country that is particularly relevant for studying light pollution due to its far northern location. At high latitudes, the variation in natural light is larger over the year than at lower latitudes. Therefore, a Nordic perspective is valuable to present knowledge about effects of artificial lighting under these conditions. Under the midnight sun, minimal additional outdoor lighting is required, whereas during the winter season, outdoor lighting may be utilised continuously. The paper synthesizes findings from various studies, highlighting the rapid increase in light pollution due to urbanisation, infrastructure development, and the widespread adoption of LED technology. Human health effects include alterations of circadian rhythms, increased risk of accidents, and potential links to serious diseases such as cancer. Ecosystem impacts are profound, affecting a number of species i.e., within insects and bats, and may lead to for instance disturbances in navigation and circadian rhythms, habitat fragmentation, and altered predator–prey dynamics. This article identifies significant knowledge gaps, particularly in the measurement of light pollution, understanding its health effects, and its impact on various species. Recommendations for future research and policy development are provided, emphasising the need for interdisciplinary approaches to mitigate the adverse effects of light pollution and promote sustainable lighting practices.
2025
Abstract
The value of genetic resources in agriculture is hard to overestimate as they are decisive for food safety, provide options for adaptation of future diet needs, and underpin a vast amount of biodiversity. To enable an effective conservation of these resources, we need knowledge about where they are located. The EU project GenRes Bridge showed that this knowledge is indeed modest at the European level. A source of genetic resources with particular potential for use in agriculture, e.g. related to the future adaptation to climate change, are crop wild relatives (CWR). Crop wild relatives are plant species categorized as wild relatives of cultivated plants and are used here as an indicator of genetic resources in the landscape. We therefore wanted to explore new ways of identifying hotspots of genetic resources, highlighting the landscape as a starting point. It is well established that landscape heterogeneity is closely related to biodiversity, although to our knowledge studies hitherto have rarely looked at the relation between landscape and genetic resources. Focusing on crop wild relatives, used here as an indicator for genetic resources in the landscape, we wanted to assess whether we could identify how landscape variation in topography and land cover has consequences for the spatial distribution of genetic resources that may be important in the future development of agriculture. Here we report the results from this pilot study where we have tested whether there is a correlation between landscape heterogeneity and agricultural genetic resources, using 5 x 5 km grid cells as spatial units. We used the presence of the crop wild relatives (CWR) which are prioritized for conservation in Norway as indicators of agricultural genetic resource diversity and extracted landscape heterogeneity descriptors from publicly available sources. The results from our study do suggest that landscape diversity could be a path worth following in searching for these resources in the landscape, and thus also important in decision-making on planning and management in these diverse landscapes.