Research gaps and trends in the Arctic tundra: a topic-modelling approach

Climate change is affecting the biodiversity, ecosystem services and the well-being of people that live in the Arctic tundra. Understanding the societal implications and adapting to these changes depend on knowledge produced by multiple disciplines. We analysed peer-reviewed publications to identify the main research themes relating to the Arctic tundra and assessed to what extent current research build on multiple disciplines to confront the upcoming challenges of rapid environmental changes. We used a topic-modelling approach, based on the Latent Dirichlet Allocation algorithm to detect topics based on semantic similarity. We found that plant and soil ecology dominate the tundra research and are highly connected to other ecological disciplines and biophysical sciences. Despite the fivefold increase in the number of publications during the past decades, the proportion of studies that address societal implications of climate change remains low. The strong scientific interest in the tundra reflects the concern of the rapid warming of the Arctic, but few studies include the cross-disciplinary approach necessary to fully assess the implications of these changes for society

Law and sustainable transitions: an analysis of aquaculture regulation

The global demand for aquaculture products is rising, driven by declining wild fisheries, food security, and blue economy policies and initiatives, suggesting that aquaculture is significant for a sustainable future, despite its negative environmental impacts. Here we investigate the role of law in accelerating the transition towards sustainable aquaculture activities. We use the EU taxonomy for environmentally sustainable activities to define transitional criteria and examine the use of regulations to accelerate the transition in Norway. Even though both the Norwegian government and industrial actors promote transition toward sustainability, we find few regulations in place that accelerate the transition, and we find that sustainability ambitions are likely to be unmet in a business-and-regulation-as-usual scenario. Additional to discussing the role of law in sustainability transitions, we offer a method which can be employed to analyze regulation of different sectors or geographical areas and to devise policy recommendations for sustainable transitions

causalizeR: a text mining algorithm to identify causal relationships in scientific literature

Complex interactions among multiple abiotic and biotic drivers result in rapid changes in ecosystems worldwide. Predicting how specific interactions can cause ripple effects potentially resulting in abrupt shifts in ecosystems is of high relevance to policymakers, but difficult to quantify using data from singular cases. We present causalizeR (https://github.com/fjmurguzur/causalizeR), a text-processing algorithm that extracts causal relations from literature based on simple grammatical rules that can be used to synthesize evidence in unstructured texts in a structured manner. The algorithm extracts causal links using the relative position of nouns relative to the keyword of choice to extract the cause and effects of interest. The resulting database can be combined with network analysis tools to estimate the direct and indirect effects of multiple drivers at the network level, which is useful for synthesizing available knowledge and for hypothesis creation and testing. We illustrate the use of the algorithm by detecting causal relationships in scientific literature relating to the tundra ecosystem

Impact of the COVID-19 pandemic on human-nature relations in a remote nature-based tourism destination

Tourism and nature-based recreation has changed dramatically during the COVID-19 pandemic. Travel restrictions caused sharp declines in visitation numbers, particularly in remote areas, such as northern Norway. In addition, the pandemic may have altered human-nature relationships by changing visitor behaviour and preferences. We studied visitor numbers and behaviour in northern Norway, based on user-generated data, in the form of photo graphic material that was uploaded to the popular online platform Flickr. A total of 195.200 photographs, taken by 5.247 photographers were subjected to Google’s “Cloud Vision” automatic content analysis algorithm. The resulting collection of labels that were assigned to each photograph was analysed in structural topic models, using photography date (relative to the start of the pandemic measures in Norway) and reported or estimated photographers’ nationality as explanatory variables. Our results show that nature-based recreation relating to “mountains” and “winter” became more prevalent during the pandemic, amongst both domestic and international photographers. Shifts in preferences due to the pandemic outbreak strongly depended on nationality, with domestic visitors demonstrating a wide interest in topics while international visitors maintained their preference for nature-based experiences. Among those activities that suffered the most from decline in international tourism was northern lights and cruises as indicated by the topic models. On the other hand, images depicting mountains and flora and fauna increased their prevalence during the pandemic. Domestic visitors, on the other hand, spent more time in urban settings as a result of restrictions, which results in a higher prevalence of non-nature related images. Our results underscore the need to consider the dynamic nature of human-nature relationships. The contrast in flexibility to adapt to changing conditions and travel restrictions should be incorporated in collaborativ

Standardized 3D bioprinting of soft tissue models with human primary cells

Cells grown in 3D are more physiologically relevant than cells cultured in 2D. To use 3D models in substance testing and regenerative medicine, reproducibility and standardization are important. Bioprinting offers not only automated standardizable processes but also the production of complex tissue-like structures in an additive manner. We developed an all-in-one bioprinting solution to produce soft tissue models. The holistic approach included (1) a bioprinter in a sterile environment, (2) a light-induced bioink polymerization unit, (3) a user-friendly software, (4) the capability to print in standard labware for high-throughput screening, (5) cell-compatible inkjet-based printheads, (6) a cell-compatible ready-to-use BioInk, and (7) standard operating procedures. In a proof-of-concept study, skin as a reference soft tissue model was printed. To produce dermal equivalents, primary human dermal fibroblasts were printed in alternating layers with BioInk and cultured for up to 7 weeks. During long-term cultures, the models were remodeled and fully populated with viable and spreaded fibroblasts. Primary human dermal keratinocytes were seeded on top of dermal equivalents, and epidermis-like structures were formed as verified with hematoxylin and eosin staining and immunostaining. However, a fully stratified epidermis was not achieved. Nevertheless, this is one of the first reports of an integrative bioprinting strategy for industrial routine application

Pan-Arctic Analysis of Cultural Ecosystem Services Using Social Media and Automated Content Analysis

In the Arctic, as in many parts of the world, interactions with the natural world are an important part of people\u27s experience and are often recorded in photographs. Emerging methods for automated content analysis of social media data offers opportunities to discover information on cultural ecosystem services from photographs across large samples of people and countries. We analysed over 800,000 Flickr photographs using Google\u27s Cloud Vision algorithm to identify the components of the natural environment most photographed and to map how and where different people interact with nature across eight Arctic countries. Almost all (91.1%) of users took one or more photographs of biotic nature, and such photos account for over half (53.2%) of Arctic photos on Flickr. We find that although the vast majority of Arctic human-nature interactions occur outside protected areas, people are slightly more likely to photograph nature inside protected areas after accounting for the low accessibility of Arctic protected areas. Wildlife photographers travel further from roads than people who take fewer photographs of wildlife, and people venture much further from roads inside protected areas. A large diversity of nature was reflected in the photographs, from mammals, birds, fish, fungi, plants and invertebrates, signalling an untapped potential to connect and engage people in the appreciation and conservation of the natural world. Our findings suggest that, despite limitations, automated content analysis can be a rapid and readily accessed source of data on how and where people interact with nature, and a large-scale method for assessing cultural ecosystem services across countries and cultures

Efficient Sampling for Ecosystem Service Supply Assessment at a Landscape Scale

Decision makers and stakeholders need high-quality data to manage ecosystem services (ES) efficiently. Landscape-level data on ES that are of sufficient quality to identify spatial tradeoffs, co-occurrence and hotspots of ES are costly to collect, and it is therefore important to increase the efficiency of sampling of primary data. We demonstrate how ES could be assessed more efficiently through image-based point intercept method and determine the tradeoff between the number of sample points (pins) used per image and the robustness of the measurements. We performed a permutation study to assess the reliability implications of reducing the number of pins per image. We present a flexible approach to optimize landscape-level assessments of ES that maximizes the information obtained from 1 m2 digital images. Our results show that 30 pins are sufficient to measure ecosystem service indicators with a crown cover higher than 5% for landscape scale assessments. Reducing the number of pins from 100 to 30 reduces the processing time up to a 50% allowing to increase the number of sampled plots, resulting in more management-relevant ecosystem service maps. The three criteria presented here provide a flexible approach for optimal design of landscape-level assessments of ES

Poleward shifts in marine fisheries under Arctic warming

As global warming makes the Arctic Ocean more accessible, concerns have been raised about the environmental consequences of a possible expansion of commercial fisheries into pristine marine ecosystems. Using a recently released global dataset, we quantify for the first time how fishing activities are responding to diminishing sea ice and a warmer Arctic Ocean. We show that trawling dominates Arctic fisheries and that this activity penetrates rapidly into Arctic shelf areas previously protected by extensive ice-cover as a response to interannual sea ice loss. We model the development of trawling activity under a climate change scenario and use the model to identify areas with high risk of increased trawling activity and estimate the amount of trawling avoided in recently established fishery protection zones. Stronger responsibility must be undertaken by Arctic coastal states to regulate increased fishing pressure and protect vulnerable Arctic shelf ecosystems.publishedVersio

Nature-based tourism, resource dependence, and resilience of Arctic communities: framing complex issues in a changing environment

This is an original manuscript / preprint of an article published by Taylor & Francis in Journal of Sustainable Tourism on 16 May 2019, available online: http://www.tandfonline.com/ https://doi.org/10.1080/09669582.2019.1612905.Current research on tourism in the Arctic has focused largely on the extent, location, and type of tourism activities that occur in the region. Recently, challenges have been identified that the tourism industry is likely to face in the wake of global changes, including climate change. Related research, conducted within and outside of the Arctic, suggests that rural communities can become economically dependent on natural resource extraction (e.g. oil, gas, timber harvesting, and mining of minerals) and non-extractive resources (e.g. nature-based recreation and tourism), limiting diversification and potentially threatening resilience of rural communities. In the western USA, communities have become dependent on both extractive and non-extractive natural resource activities including nature-based tourism; however, it is less clear whether a similar situation is occurring in Arctic communities. In this article, we propose a framework and indicators to analyze the potential dependence of Arctic communities on nature-based tourism and the resilience of Arctic communities to potential boom–bust cycles of nature-based tourism. To do so, we examine the current state-of-knowledge about tourism and nature-based tourism in the Arctic through the lens of boom–bust dynamics and social-ecological systems

Acceptance of Nordic snack bars in children aged 8–11 years

Background: A health promoting diet is suggested to be tailored to regional circumstances to preserve the cultural diversity in eating habits, as well as contribute to more environmentally friendly eating. It may influence consumer acceptance, however, if the components of the diet differs considerably from their habitual food. Objective: This study aimed to investigate whether snack bars composed of Nordic ingredients were accepted by 8–11 year-old Danish (n=134) and Swedish (n=109) children.Design: A seven-point hedonic scale was used to measure the children's acceptance of five snack bars that varied in their composition of whole grains, berries and nuts. A preference rank ordering of the five bars was also performed. Results: The results showed that samples that were rated highest in liking and were most preferred in both countries were a kamut/pumpkin bar and an oat/cranberry bar. The sample with the lowest rating that was also least preferred was a pumpernickel/sea buckthorn bar. Flavour was the most important determinant of overall liking followed by texture, odour and appearance. Conclusions: Children's acceptances and preferences were highly influenced by the sensory characteristics of the bars, mainly flavour. In agreement with earlier studies, the novel food ingredients seemed to influence children's preferences. The Nordic snack bars may have a potential to be a snack option for Danish and Swedish school children, but repeated exposures to the products are recommended to increase children's acceptance