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The Eurasian lynx is a large carnivore widely distributed across Eurasia. However, our understanding of population status is heterogeneous across their range, with some populations isolated that are at risk of reduced genetic variation and a complete lack of information about others. In many European countries, Eurasian lynx are monitored through demographic studies crucial for their conservation and management. Even so, there are only rough and fragmented population assessments from Ukraine and Belarus, despite strict protection in both countries and their importance for lynx connectivity across Europe. We monitored lynx from October 2020 to March 2021 and used camera trapping in combination with spatial capture–recapture (SCR) methods in a Bayesian framework to provide the first SCR density estimation of three lynx populations across Ukraine and Belarus, including the Ukrainian Chornobyl Exclusion Zone, southern Belarus and the Ukrainian Carpathians. Our density estimates varied within our study areas ranging from 0.45 to 1.54 individuals/100 km2. This work provides a substantial scientific component to the overall understanding of lynx conservation for a region where only broad information is available and opens the doors for further large‐scale monitoring and trend assessments. The crucial information we provide can greatly enhance the range‐wide assessments of the status of this protected species. We also discuss the implications for Eurasian lynx conservation, despite the geopolitical realities impacting species monitoring in the region. Our work serves as a baseline, not only for future conservation interventions but also to evaluate the effects of disturbance and threats to these protected populations. [ABSTRACT FROM AUTHOR]

On 25th February 2022, increased gamma radiation dose rates were reported within the Chornobyl Exclusion Zone (CEZ). This coincided with Russian military vehicles entering the Ukrainian part of the CEZ from neighbouring Belarus. It was speculated that contaminated soil resuspension by vehicle movements or a leak from the Chornobyl Nuclear Power Plant complex may explain these spikes in radiation dose rates. The gamma dose rate monitoring network in the CEZ provides a crucial early warning system for releases of radioactivity to the environment and is part of the international safeguards for nuclear facilities. With the potential for further military action in the CEZ and concerns over nuclear safety, it is essential that such anomalous readings are investigated. We evaluate the hypotheses suggested to explain the apparent gamma dose rate increases, demonstrating that neither military vehicle-induced soil resuspension nor a leak from the Chornobyl Nuclear Power Plant are plausible. However, disruption of the Chornobyl base-station's reception of wireless signals from the gamma dose rate monitoring network in the CEZ may potentially explain the dose rate increases recorded. • Gamma dose rates increased significantly during Russian invasion of Chornobyl. • Contaminated soil resuspension by military vehicle movements was not the cause. • Spatial distribution of dose rate increases does not suggest radioactive release. • Military electro-magnetic frequency interference potentially explains increases. [ABSTRACT FROM AUTHOR]

Increased radioactivity in the near-surface atmosphere is virtually an annual occurrence in the Gomel region, Belarus. However, there is no explicit evidence as to what causes these anomalies and whether their origin has a strong seasonal association. To establish any such relations, we have analysed long-term radiation monitoring data recorded in the region over the past 17 years from 2003 to 2020 to find that abnormal levels of atmospheric radioactivity in summer and in winter have different origins. Summer spikes are most likely caused by occasional wildfires blazing in contaminated afforested areas in extreme heat weather, such as the wildfires of 2015 and 2020 in the Chernobyl Exclusion Zone, which is confirmed by backward and forward trajectories of the air mass transport at the time calculated using the HYSPLIT model. By contrast, in winter, when a wildfire cannot occur, a potential source of atmospheric radioactivity in the Gomel region may be the use of wood fuel from contaminated territories in residential woodstoves. Measurements of wood ash sampled from local households across the contaminated area and close to the woods show excessively high concentrations of 137Cs and 90Sr. The Holt-Winters and the Facebook's Prophet models used for the purposes of this study prove their applicability for performing a short-term (5 years) prediction of the weekly index dynamics of the atmospheric radioactivity. [ABSTRACT FROM AUTHOR]