Hopp til hovedinnholdet

Publikasjoner

NIBIOs ansatte publiserer flere hundre vitenskapelige artikler og forskningsrapporter hvert år. Her finner du referanser og lenker til publikasjoner og andre forsknings- og formidlingsaktiviteter. Samlingen oppdateres løpende med både nytt og historisk materiale. For mer informasjon om NIBIOs publikasjoner, besøk NIBIOs bibliotek.

2013

Til dokument

Sammendrag

The quality of surface water and groundwater is closely related to flow paths in the vadose zone. Therefore, dye tracer studies are often carried out to visualise flow patterns in soils. These experiments provide images of stained soil profiles and their evaluation demands knowledge in hydrology as well as in image analysis and statistics. The classical analysis consists of image classification in stained and non-stained parts and calculation of the dye coverage (i.e. the proportion of staining). The variation of this quantity with depth is interpreted to identify dominant flow types. While some feature extraction from images of dye-stained profiles is necessary, restricting the analysis to the dye coverage alone might miss important information. In our study we propose to use several index functions to extract different (ideally complementary) features. We associate each image row with a feature vector (i.e. a certain number of image function values) and use these features to cluster the image rows to identify similar image areas. Because images of stained profiles might have different reasonable clusterings, we calculate multiple consensus clusterings. Experts can explore these different solutions and base their interpretation of predominant flow type on quantitative (objective) criteria.

Til dokument

Sammendrag

ClimaRice II has explored the potential for climate adaptation and mitigation through online dissemination of pest risk forecasts to rice farmers. Weather-driven mathematical models incorporating scientific insights on the biological responses of plant pests to climate can be linked to automatic weather station networks to provide pest risk forecasting / forewarning / early warning to rice farmers

Til dokument

Sammendrag

Impact of climate change is likely to have serious influences on agriculture and water sectors and eventually on the food security and livelihoods of a large section of the rural population in developing countries. To improve the adaptive capacity of the agriculture and water sectors in the states of Andhra Pradesh and Tamil Nadu, ClimaAdapt Programme (Adaptation to climate change: An integrated science--‐stakeholder--‐policy approach to develop Adaptation framework for Water and Agriculture sectors in Tamil Nadu and Andhra pradesh states in India) is undertaken in selected pockets of Krishna (Left canal (DC4) and right canal of Nagarjuna Sagar (DC 21) in Andhra Pradesh) and Cauvery (Kalingarayan canal basin at Erode district and Ponnaniar reservoir basin at Thiruchirapalli district, Tamil Nadu) river basins. The first and foremost need of the project is developing climate and hydrological scenarios for identifying and upscaling appropriate adaptation technologies. From ClimaRice (a feeder project to ClimaAdapt), climate scenarios for the current and future were developed by International Pacific Research Centre (IPRC), Hawaii. Tamil Nadu Agricultural University (TNAU), Coimbatore and International Water Management institute (IWMI), Hyderabad in coordination with Indian institute of Technology (Madras), Chennai developed the hydrological scenarios. In the current study, these scenarios were extracted for the ClimaAdapt programme regions and presented for the impact assessment and development of adaptation strategies for managing the changing climate.

Til dokument

Sammendrag

This report deals with results of a survey to 60 farming households in the three villages Magoda, Kichiwa and Ibumila in the Njombe region of Tanzania, about 700 km from Dar es Salaam. The farmers were selected among those that came forward at village meetings and the survey is not representative for farming households in the region. However, it may represent farmers interested in developing their farms and looking for better ways to do farming in the area.