Institution
University of Lapland
Education•Rovaniemi, Finland•
About: University of Lapland is a education organization based out in Rovaniemi, Finland. It is known for research contribution in the topics: Arctic & Indigenous. The organization has 665 authors who have published 1870 publications receiving 39129 citations. The organization is also known as: University of Rovaniemi & Lapin yliopisto.
Topics: Arctic, Indigenous, Climate change, Tundra, Tourism
Papers published on a yearly basis
Papers
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TL;DR: In this paper, the roles of the European Union and Canada in governance and regulation of human activities in the Arctic Ocean are examined, with a focus on law of the sea, approaches and challenges.
Abstract: The objective of this paper is to examine (in a historical perspective) the roles of the European Union (EU) and Canada in governance and regulation of human activities in the Arctic Ocean Section two describes the existing “tangled” nature of governance in the Arctic with a focus on law of the sea, approaches and challenges in the region, as well as on EU and Canadian participation in the activities of the Arctic Council The “shifting seascape” in governance is next highlighted in section three with a review of increasing calls for change from scholars and other groups, recent governance initiatives from the United States and Arctic Ocean coastal states, and evolving EU and Canadian perspectives towards ocean governance The paper concludes with section four, which surveys possible future directions for strengthening ocean governance in the Arctic, with the spectrum of options including, among others, expanding the spatial scopes of the North-East Atlantic Fisheries Commission (NEAFC), established by the NEAFC Convention, and the OSPAR Commission, established by the Convention for the Protection of the Marine Environment of the North-East Atlantic (OSPAR) Convention, and reform by means of an Implementing Agreement under the United Nations Convention on the Law of the Sea (LOS)
16 citations
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TL;DR: The level of overall density, its trend over cambial ages and the growth amplitude altered due to the sample pretreatment/density measuring exercise, which means that comparisons of heterogeneous datasets should be, in general, regarded cautiously.
16 citations
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10 Jun 2015TL;DR: A see-through augmented reality application for digital signage that enables passersby to observe the area behind the display, augmented with useful data, in two public settings.
Abstract: Typically the key challenges with interactive digital signage are (1) interaction times are short (usually in the order of seconds), (2) interaction needs to be very easy to understand, and (3) interaction needs to provide a benefit that justifies the effort to engage. To tackle these challenges, we propose a see-through augmented reality application for digital signage that enables passersby to observe the area behind the display, augmented with useful data. We report on the development and deployment of our application in two public settings: a public library and a supermarket. Based on observations of 261 (library) and 661 (supermarket) passersby and 14 interviews, we provide early insights and implications for application designers. Our results show a significant increase in attention: the see-through signage was noticed by 46% of the people, compared to 14% with the non-see through version. Furthermore, findings indicate that to best benefit the passersby, the AR displays should clearly communicate their purpose.
16 citations
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Norwegian University of Science and Technology1, Agricultural University of Iceland2, University of Tartu3, Alaska Department of Fish and Game4, University of Lapland5, Boise State University6, University of Bergen7, University of Turku8, Natural Resources Conservation Service9, University of Calgary10, Norwegian Polar Institute11, Wildfowl & Wetlands Trust12, Swedish University of Agricultural Sciences13, Russian Academy of Sciences14, James Cook University15, University of California, Berkeley16, University of Tromsø17
TL;DR: It is found that functional and phylogenetic diversity both peaked in the western North American Arctic, and that spatial patterns in both were best predicted by trophic interactions, namely vegetation productivity and predator diversity, as well as climatic severity.
Abstract: Communities are assembled from species that evolve or colonise a given geographic region, and persist in the face of abiotic conditions and interactions with other species. The evolutionary and colonisation histories of communities are characterised by phylogenetic diversity, while functional diversity is indicative of abiotic and biotic conditions. The relationship between functional and phylogenetic diversity infers whether species functional traits are divergent (differing between related species) or convergent (similar among distantly related species). Biotic interactions and abiotic conditions are known to influence macroecological patterns in species richness, but how functional and phylogenetic diversity of guilds vary with biotic factors, and the relative importance of biotic drivers in relation to geographic and abiotic drivers is unknown. In this study, we test whether geographic, abiotic or biotic factors drive biome-scale spatial patterns of functional and phylogenetic diversity and functional convergence in vertebrate herbivores across the Arctic tundra biome. We found that functional and phylogenetic diversity both peaked in the western North American Arctic, and that spatial patterns in both were best predicted by trophic interactions, namely vegetation productivity and predator diversity, as well as climatic severity. Our results show that both bottom–up and top–down trophic interactions, as well as winter temperatures, drive the functional and phylogenetic structure of Arctic vertebrate herbivore assemblages. This has implications for changing Arctic ecosystems; under future warming and northward movement of predators potential increases in phylogenetic and functional diversity in vertebrate herbivores may occur. Our study thus demonstrates that trophic interactions can determine large-scale functional and phylogenetic diversity just as strongly as abiotic conditions.
16 citations
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TL;DR: In this article, the authors used five CMIP5 models that have run the RCP4.5 experiment and the GeoMIP stratospheric aerosol injection (SAI) G4 experiment to calculate the genesis potential index (GPI) and ventilation index (VI) over the 2020 to 2069 period across the six ocean basins that generate TCs.
Abstract: . The thermodynamics of the ocean and atmosphere partly determine variability in tropical cyclone (TC) number and intensity and are readily accessible from climate model output, but an accurate description of TC variability requires much higher spatial and temporal resolution than the models used in the GeoMIP (Geoengineering Model Intercomparison Project) experiments provide. The genesis potential index (GPI) and ventilation index (VI) are combinations of dynamic and thermodynamic variables that provide proxies for TC activity under different climate states. Here we use five CMIP5 models that have run the RCP4.5 experiment and the GeoMIP stratospheric aerosol injection (SAI) G4 experiment to calculate the two TC indices over the 2020 to 2069 period across the six ocean basins that generate TCs. GPI is consistently and significantly lower under G4 than RCP4.5 in five out of six ocean basins, but it increases under G4 in the South Pacific. The models project potential intensity and relative humidity to be the dominant variables affecting GPI. Changes in vertical wind shear are significant, but it is correlated with relative humidity, though with different relations across both models and ocean basins. We find that tropopause temperature is not a useful addition to sea surface temperature (SST) in projecting TC genesis, perhaps because the earth system models (ESMs) vary in their simulation of the various upper-tropospheric changes induced by the aerosol injection.
16 citations
Authors
Showing all 710 results
Name | H-index | Papers | Citations |
---|---|---|---|
Hong Li | 103 | 779 | 42675 |
John C. Moore | 76 | 389 | 25542 |
Jeffrey M. Welker | 57 | 179 | 18135 |
Bruce C. Forbes | 43 | 130 | 7984 |
Mats A. Granskog | 41 | 141 | 5023 |
Manfred A. Lange | 38 | 92 | 4256 |
Liisa Tyrväinen | 37 | 112 | 6649 |
Samuli Helama | 35 | 156 | 4008 |
Aslak Grinsted | 34 | 89 | 9653 |
Jukka Jokimäki | 31 | 93 | 4175 |
Sari Stark | 29 | 58 | 2559 |
Elina Lahelma | 27 | 86 | 2217 |
Jonna Häkkilä | 25 | 97 | 2185 |
Rupert Gladstone | 23 | 51 | 2320 |
Justus J. Randolph | 23 | 66 | 2160 |