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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

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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

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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.

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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.

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Expanding high elevation and high latitude forest has contrasting climate feedbacks through carbon sequestration (cooling) and reduced surface reflectance (warming), which are yet poorly quantified. Here, we present an empirically-based projection of mountain birch forest expansion in south-central Norway under climate change and absence of land use. Climate effects of carbon sequestration and albedo change are compared using four emission metrics. Forest expansion was modeled for a projected 2.6 °C increase of summer temperature in 2100, with associated reduced snow cover. We find that the current (year 2000) forest line of the region is circa 100 m lower than its climatic potential due to land use history. In the future scenarios, forest cover increased from 12 to 27% between 2000 and 2100, resulting in a 59% increase in biomass carbon storage and an albedo change from 0.46 to 0.30. Forest expansion in 2100 was behind its climatic potential, forest migration rates being the primary limiting factor. In 2100, the warming caused by lower albedo from expanding forest was 10 to 17 times stronger than the cooling effect from carbon sequestration for all emission metrics considered. Reduced snow cover further exacerbated the net warming feedback. The warming effect is considerably stronger than previously reported for boreal forest cover, because of the typically low biomass density in mountain forests and the large changes in albedo of snow-covered tundra areas. The positive climate feedback of high latitude and high elevation expanding mountain forests with seasonal snow cover exceeds those of afforestation at lower elevation, and calls for further attention of both modelers and empiricists. The inclusion and upscaling of these climate feedbacks from mountain forests into global models is warranted to assess the potential global impacts.