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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.

2017

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Sammendrag

Nighttime light data derived from the Defense Meteorological Satellite Program’s Operational Linescan System (DMSP-OLS) in conjunction with the Soumi National Polar-Orbiting Partnership Visible Infrared Imaging Radiometer Suite (NPP-VIIRS) possess great potential for measuring the dynamics of Gross Domestic Product (GDP) at large scales. The temporal coverage of the DMSP-OLS data spans between 1992 and 2013, while the NPP-VIIRS data are available from 2012. Integrating the two datasets to produce a time series of continuous and consistently monitored data since the 1990s is of great significance for the understanding of the dynamics of long-term economic development. In addition, since economic developmental patterns vary with physical environment and geographical location, the quantitative relationship between nighttime lights and GDP should be designed for individual regions. Through a case study in China, this study made an attempt to integrate the DMSP-OLS and NPP-VIIRS datasets, as well as to identify an optimal model for long-term spatiotemporal GDP dynamics in different regions of China. Based on constructed regression relationships between total nighttime lights (TNL) data from the DMSP-OLS and NPP-VIIRS data in provincial units (R 2 = 0.9648, P < 0.001), the temporal coverage of nighttime light data was extended from 1992 to the present day. Furthermore, three models (the linear model, quadratic polynomial model and power function model) were applied to model the spatiotemporal dynamics of GDP in China from 1992 to 2015 at both the country level and provincial level using the extended temporal coverage data. Our results show that the linear model is optimal at the country level with a mean absolute relative error (MARE) of 11.96%. The power function model is optimal in 22 of the 31 provinces and the quadratic polynomial model is optimal in 7 provinces, whereas the linear model is optimal only in two provinces. Thus, our approach demonstrates the potential to accurately and timely model long-term spatiotemporal GDP dynamics using an integration of DMSP-OLS and NPP-VIIRS data.

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As the human population grows and its influence on the environment continually increases, sustainability is again on the policy agenda. At the same time there is increasing awareness of the need for more environmentally attuned landscape planning. Nevertheless, researchers have recognized that many research findings are not applied in real life management or practice. We argue that the lack of incorporating ecological knowledge into landscape planning is partly caused by a communication gap between ecologists and planners and designers. In this article we suggest one approach of how this communication gap could be minimized. We link landscape ecological concepts relevant for land use planning to a well-known planning and design concept, the Emerald Necklace. We argue that applying the Emerald Necklace concept in a planning process can have several possible positive contributions. First, it will necessitate thinking on a landscape scale, i.e., putting the focus not only on individual planning project areas, but also on the ways in which these are linked to the surrounding landscape. Further, it will help identify priority areas from an ecological perspective. Finally, it will emphasize the importance of heterogeneity of habitats and connectivity of the blue-green infrastructure during the planning process. In addition, and equally important, the concept provides abundant opportunities for creative design. We hope using the Emerald Necklace will contribute to improved dialogue and understanding between the professions involved in planning processes.

Sammendrag

Arealstatistikk for Møre og Romsddal fylke basert på arealressurskartet AR5 og søknader om produksjonstilskudd. Dokumentet inneholder også informasjon om strukturendring i landbruket og nedbygd jordbruksareal.