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
Forfattere
Wenche DramstadSammendrag
Det er ikke registrert sammendrag
Sammendrag
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
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.
Forfattere
Wenche DramstadSammendrag
Det er ikke registrert sammendrag
Forfattere
Wenche DramstadSammendrag
Det er ikke registrert sammendrag
Sammendrag
Det er ikke registrert sammendrag
Sammendrag
Det er ikke registrert sammendrag
Forfattere
Wenche DramstadSammendrag
Det er ikke registrert sammendrag
Forfattere
Geir-Harald StrandSammendrag
An undesirable property of systematic spatial sampling is that there is no known method allowing unbiased estimation of the uncertainty of statistical estimates from these surveys. A number of alternative variance estimation methods have been tested and reported by various authors. Studies comparing these estimators are inconclusive, partly because the studies compare different sets of estimators. In this paper, three estimators recommended in recent studies are compared using a single test dataset with known properties. The first estimator compared in this study (ST4) is based on post-stratification of the data. The second estimator (V08) is using a predetermined correction factor calculated from the spatial autocorrelation. The third estimator (MB) is a model based prediction calculated using values from the semivariogram. MB and ST4 were both found to be fairly accurate, while V08 consistently underestimated the variance in this study. V08 relies on the assumption that the autocorrelation structure in the dataset can be described using a particular exponential function. The most likely explanation of the weak result for V08 is that this assumption is violated by the empirical data used in the experiment. A better correction factor can be calculated, but the safe approach is to use MB or ST4.
Forfattere
Geir-Harald StrandSammendrag
Det er ikke registrert sammendrag