Flooding is one of the greatest disasters that produces strong effects on the ecosystem and livelihoods of the local population. Flood frequency is expected to increase globally making its risk assessment an urgent issue. In spring-summer 2017, an extreme flooding occurred in the Indigirka River lowland of Northeastern Siberia that inundated a large area. In this study, the extent and climatic drivers of the flooding were determined using the results of field observations, satellite images, and climate reanalysis dataset, and its possible effects on the ecosystem were discussed. In 2017, a significant lowland area of around 16,016 km 2 was covered with water even in July, which was 5,217 km 2 (around 4% of the total area) greater than the water-covered area in 2015 when usual hydrological condition in the area was observed. The hydrographic signature obtained for the Indigirka River water level in 2017 was unusual. Although the water level rose sharply at the end of May (which was typical for the Arctic region), it did not fall afterwards and even increased again to an annual daily maximum value in the middle of July. The climate reanalysis dataset obtained for the temporal-spatial variations of snow water equivalent, snowmelt, and runoff over the lowland revealed that a large amount of snowmelt runoff in June and July 2017 produced a large water-covered area and unusually high river water levels that lasted until summer. Snow depth from winter to spring was largest in 2017 over the period from 2009 to 2017, and the surface of the lower reach of the lowland was partially covered with snow even in the end of June due to the extreme snowfall that occurred in October 2016. Such unusual hydrological conditions waterlogged most trees over the lowland, which caused serious ecosystem devastation and changes in the material cycle.

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Extreme environmental conditions, sparsely distributed human populations, and diverse local economies characterize the Russian Arctic and Far East. There is an urgent need for multidisciplinary research into how the Arctic and Far East can be developed sustainably as global changes in the environment and the economic priorities of nations accelerate and globalized societies emerge. Yet, when it comes to sustainability indicators, little consideration has been given thus far to sparsely populated and remote territories. Rather, the majority of indicators have been developed and tested while using empirical research gathered from cities and densely populated rural localities. As a result, there is no scientific technique that can be used to monitor the development of sparsely populated territories and inform the decisions of policymakers who hope to account for local specificity. This article suggests a conceptual model for linking sustainability to the unique characteristics of the sparsely populated regions of the Arctic and Far East. We provide an empirical illustration that is based on regional-level data from the sparsely populated territories of the Russian Federation. We conclude by suggesting indicators that could be best suited to promoting balanced regional development that accounts for the environment, economy, and social needs of sparsely populated territories.

The phenology of berry-producing plants, particularly their harvest season, is of human interest and also reflects the ecosystem’s response to the changing environment. We investigated the seasonal dynamics of human interest in berries growing in boreal, subarctic and Arctic ecosystems, mainly in Russia, based on internet search data via Google Trends. There is a typical and culture-specific pattern of seasonal variations in search volume concerning berries across Russia, Finland, and Canada. Generally, the seasonal peak of search corresponds to the common berry harvest season across these countries. We discussed the potential and limitation for detecting ecological factors from the internet search data, in which physical phenomena and socio-cultural aspects are fundamentally superimposed, and its applicability to phenological studies.

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Every spring, riverine communities throughout the Arctic face flood risk. As the river ice begins to thaw and break up, ice jams-accumulation of chunks and sheets of ice in the river channel, force melt water and ice floes to back up for dozens of kilometers and flood vulnerable communities upstream. Via a comparative analysis between two flood-prone communities in Alaska and Yakutia (Siberia), this study examines key components of flood risk-hazards, exposure, and vulnerability, and existing practices in flood risk reduction in rural Arctic. The research sites are two rural communities-Galena (Yukon River) and Edeytsy (Lena River), which sustained major ice-jam floods in May 2013. The data was acquired through a combination of direct observations on site, review of documents and archives, focus group discussions, and surveys. Five focus groups with US and Russian representatives from disaster management agencies revealed a few similar patterns as well as significant differences in flood risk reduction strategies. The main differences included higher reliance on mechanical and short-term ice jam and flood mitigation efforts (e.g., ice-jam demolition) in the Russian Arctic, and lack of a centralized flood management model in the US. Surveys conducted among population at risk during the site visits to Edeytsy (November 2015) and Galena (March 2016) revealed higher satisfaction levels with the existing flood risk reduction efforts among Edeytsy residents. Survey respondents in Galena indicated the lack of ice jam removal and other flood prevention measures as the key drawback in the existing flood management. Historical analysis, conducted via the disaster Pressure and Release (PAR) model, revealed that springtime flood risk in both regions results from complex interactions among a series of natural processes that generate conditions of hazard, and human actions that generate conditions of communities' exposure and vulnerability. The analysis revealed colonial heritage, top-down governance, and limited inclusion of local communities in the decision-making as the driving forces of vulnerability in both regions. Seasonal weather patterns and regional river channel morphology determine the location, severity, and duration of floods. The analysis also revealed the importance of continuous communication between all stakeholders in timely and effective flood risk management in both regions.

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The article examines the experience in conducting expert ethnological evaluations in the Sakha Republic (Yakutia) and assesses the effectiveness of this institution for protecting the rights of indigenous small-numbered peoples of the North (ISPN) during the implementation of large investment projects. For the first time, per capita estimates of compensation for damage to the ISPN community per 1 km of territory and water area withdrawn out of traditional economic activity have been determined. The authors compare the size of compensation with the annual income of community members, as well as the size of payments practiced in other regions. The shortcomings of expert ethnological evaluations are shown, and directions for their improvement are proposed. The necessity of expanding the list of ecosystem services is substantiated. It is concluded that, when assessing damage in the case of deteriorated conditions for traditional economic activity, a different approach is required: assessment of impact on community resilience.