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The Romanian wolf population, one of the largest in Europe, occupies a total home-range of 154500 km2 and is spread across a variety of landscapes-from anthropized hills and plateaus to remote, densely forested mountains. However, this population is markedly understudied, and even basic knowledge of the species' feeding habits is deficient. Wolf diet was assessed based on 236 scat samples collected between November 2013 and October 2014, by following pre-established transects (total length = 774 km). The study area (600 km2) is a multi-prey ecosystem in the southern sector of the Eastern Romanian Carpathians. Our results emphasize that more than 80% of the wolf diet is based on wild ungulates. The wild boar is clearly selected (D = 0.74) and is the most common species in the diet (Bio = 72%), while roe deer (Bio = 10%) and red deer (Bio = 5%) have a smaller contribution. Domestic species represented the second-largest prey category in both seasons. Among them, dog is a particularly important source of food (Bio 3.5-10.9%). Other domestic species (goat, sheep, horse) have marginal importance in the wolf diet and seasonal occurrence. Standardized niche breadths are low in both seasons (BAw = 0.07, BAs = 0.12), and a high degree of overlap in the resources used has been observed (Ôws = 0.99). Our study represents the first step towards understanding the wolf foraging behaviour in the Romanian Carpathians and is valuable to address the complex issues of wolf and wild ungulate population management and conservation.

The Carpathian Mountains have been constantly inhabited by grey wolves and present one of the largest distribution areas in Europe, comprising between 2300 and 2700 individuals in Romania. To date, however, relatively little is known about the Romanian wolf population. We aimed to provide a first assessment of genetic diversity, population structure and wolf-dog hybridisation based on 444 mostly non-invasively collected samples in the Eastern Romanian Carpathians. Pack reconstruction and analysis of population genetic parameters were performed with mitochondrial DNA control-region sequencing and microsatellite genotyping. We found relatively high levels of genetic diversity, which is similar to values found in previous studies on Carpathian wolves from Poland and Slovakia, as well as to the long-lasting Dinaric-Balkan wolf population. We found no significant population structure in our study region, suggesting effective dispersal and admixture. Analysis of wolf-dog hybridisation using a Single Nucleotide Polymorphism panel optimised for hybrid detection revealed low rates of admixture between wolves and domestic dogs. Our results provide evidence for the existence of a genetically viable wolf population in the Romanian Carpathians. The genetic data obtained in this study may serve as valuable baseline information for the elaboration of monitoring standards and management plans for wolves in Romania.

Livestock depredation by brown bears is one of the main source of human–wildlife conflict in rural Eastern Europe. Thus, identifying environmental and anthropogenic drivers of human–bear conflict, and developing spatial predictions for predation intensity are critical to mitigate such conflicts. We used 756 records of bear‐caused livestock predation collected between 2008 and 2016 in the Romanian Carpathians and evaluated predictors and spatial distribution of bear livestock predation events (BPEs) using separate binomial generalized linear mixed models for cows, sheep, and other livestock. Despite differences in the direction and magnitude of the effect, the prevalence of BPE for all livestock was driven by the interaction between environmental drivers along with relative bear abundance. Distance from forest was a strong negative predictor for cows and sheep, while distance to villages was a strong negative predictor for cows. Landscape heterogeneity was positively associated with cow and other livestock predation and negatively associated with sheep. Relative bear abundance data collected by wildlife managers was a positive predictor for predation on all livestock. Livestock damage was more prevalent near villages, showcasing plasticity of food resources sought by bears. Our work informs brown bear and livestock management strategies to develop awareness and implement damage prevention measures. To understand drivers of human–bear conflicts we assessed predictors and mapped the spatial distribution of brown bear livestock predation events (BPEs) in the Romanian Eastern Carpathians. The prevalence of BPE for all livestock was driven by the interaction between distance from forest and distance from settlements, landscape heterogeneity, and composition, along with relative brown bear abundance. Our work informs brown bear and livestock management strategies at the local and regional level to develop awareness and implement damage prevention systems to minimize predation risk.

Accurate population size estimates are important information for sustainable wildlife management. The Romanian Carpathians harbor the largest brown bear (Ursus arctos) population in Europe, yet current management relies on estimates of density that lack statistical oversight and ignore uncertainty deriving from track surveys. In this study, we investigate an alternative approach to estimate brown bear density using sign surveys along transects within a novel integration of occupancy models and home range methods. We performed repeated surveys along 2‐km segments of forest roads during three distinct seasons: spring 2011, fall‐winter 2011, and spring 2012, within three game management units and a Natura 2000 site. We estimated bears abundances along transects using the number of unique tracks observed per survey occasion via N‐mixture hierarchical models, which account for imperfect detection. To obtain brown bear densities, we combined these abundances with the effective sampling area of the transects, that is, estimated as a function of the median (± bootstrapped SE) of the core home range (5.58 ± 1.08 km2) based on telemetry data from 17 bears tracked for 1‐month periods overlapping our surveys windows. Our analyses yielded average brown bear densities (and 95% confidence intervals) for the three seasons of: 11.5 (7.8–15.3), 11.3 (7.4–15.2), and 12.4 (8.6–16.3) individuals/100 km2. Across game management units, mean densities ranged between 7.5 and 14.8 individuals/100 km2. Our method incorporates multiple sources of uncertainty (e.g., effective sampling area, imperfect detection) to estimate brown bear density, but the inference fundamentally relies on unmarked individuals only. While useful as a temporary approach to monitor brown bears, we urge implementing DNA capture–recapture methods regionally to inform brown bear management and recommend increasing resources for GPS collars to improve estimates of effective sampling area. We combined abundances with home range data and obtained first statistical estimates of brown bear densities in the Romanian Carpathians. Although stable between game management units and seasons, densities have relatively wide confidence intervals. We suggest our approach is temporary useful to inform brown bear management until implementing DNA capture–recapture methods will be regionally feasible.

Brown bear movement patterns are driven by their opportunistic feeding behaviour, with their complex life history and seasonality playing an important role in habitat selection. Within a large unfragmented forest habitats persisting over decades in the Romanian Carpathians and a prohibitive hunting management during 40 years of communist centralised game management, information about brown bear movements and spatial ecology is lacking. Using data obtained from 13 brown bears fitted with GPS telemetry collars, we estimated home ranges and core activity areas and we investigated the daily, seasonal and altitudinal movements of brown bears in the Eastern Romanian Carpathians and surrounding high hills. The median MCP95% home ranges of brown bears was 629.92 km 2 and the median size of core activity areas (estimated as 50% kernel density) was 36.37 km 2 , with no significant differences between males and females. The mean daily distance travelled, measured as daily displacement length, was 1818 m and an analysis of seasonal movements indicated significant differences between seasons (greatest movements during the Hyperphagia season). The GPS-collared brown bears travelled between a minimum altitude measured at ~234 m and a maximum at ~1634 m. Analysing the spatial overlap between the estimated home range and the game management units (GMU) limits, we obtained a median number of 8 GMUs overlapping totally or partially with estimated home range polygons. Our study, using GPS telemetry, highlights the complex spatial ecology of the brown bear in the Romanian Carpathians, with larger home range size than those estimated in other European brown bear populations and with daily movements that vary by season and within a large altitude range. Our study supports the implementation of brown bear monitoring at a regional scale, rather than focusing on county level GMUs as the monitoring unit.

Romanian Carpathians are considered a biodiversity hotspot in Europe, with large forested areas, including old-growth forests. Past forestry practices, such as selective logging resulting in forest high grading and removal of ancient or decaying trees, reduced the heterogeneity of forest structure and composition. These practices led to forest habitats with few veteran trees and a small amount of deadwood, which protected saproxylic beetles rely on for completing their complex life cycles. Moreover, saproxylic species are considered pest species under traditional forestry practices, as they reduce the value of timber. As such, Romanian forestry practices have actively sought to reduce the amount of deadwood in an effort to decrease the presence of saproxylic species, thus effectively isolating stands with a high diversity of saproxylic beetles. The European Commission will finance the project LIFE19 NAT/RO/000023 Conservation of saproxylic beetles in the Carpathians LIFE ROsalia. The project aims to stop and reverse the loss of protected saproxylic beetles (Rosalia longicorn Rosalia alpina , the hermit beetle Osmoderma eremita , great capricorn beetle Cerambyx cerdo , grey beetle Morimus funereus , and stag beetle Lucanus cervus ) in the Carpathians by demonstrating conservation actions for increasing the connectivity of favorable habitats in the ROSCI0208 Putna-Vrancea (Eastern Carpathians, Romania), and transferring and replicating best management practices in other Romanian Natura 2000 sites. LIFE ROsalia will be implemented between 2020 and 2025 by the Environmental Protection Agency Vrancea, the Center for Environmental Research at the University of Bucharest, the Putna-Vrancea Natural Park Administration, and the Association for Biodiversity Conservation.

The COVID-19 pandemic represented a tremendous shock for both public and private sectors and put pressure on the economic environment alongside national healthcare systems. Our article examined the economic resilience during the COVID-19 pandemic in the EU Member States and assessed if countries with more intense use of digitalization instruments (e-government features, e-commerce, ITC skills, etc.) in both public and private sectors registered a lower economic decline during 2019–2020. Our approach was based firstly on statistical correlation analysis applied to several indicators obtained from Eurostat and European Commission. Secondly, we elaborated different regional models of economic and social homogenous characteristics that could be found among EU Member States based on a hierarchical cluster analysis model applied to several structural socio-economic and digitalization indicators. The main conclusion was that there is a strong positive correlation between the share of ITC employment and the share of ITC in GDP, and the level of digital skills for individuals and the share of companies with high intensity of digitalization.

Climate change threatens species and ecosystems globally, including forest ecosystems that support rich invertebrate diversity. Saproxylic beetles, that depend on old-growth trees and deadwood, are facing increasing pressure. Consequently, conserving these beetles has become a priority for EU Member States. We developed ensemble species distribution models for five saproxylic beetles for current and three future time horizons under two Shared Socioeconomic Pathways and two Global Circulation Models. We used a systematic conservation planning approach to assess the effectiveness and resilience to climate change of the Romanian Natura 2000 network for saproxylic beetles while identifying areas for prospective protected area expansion to meet EU conservation targets. Our study revealed that under all scenarios and time horizons, the saproxylic beetles may lose over 80% of their suitable habitat and restrict their distribution to higher elevations. According to the conservation prioritization analysis, we found that, when considering 30% of the landscape as being protected, an average of 85% of species distribution is retained within priority areas overlapping the Carpathian Mountains, while for the current protected area coverage (18% of Romania’s terrestrial area), the existing Natura 2000 network does not perform satisfactorily, with only ~ 30% of the saproxylic species distributions falling within the network. Our results corroborate previous findings on saproxylic beetle range shifts and contractions due to climate change. Furthermore, our findings question the effectiveness of the current Natura 2000 network, as it is currently inadequate for protecting these species. To achieve the goals of the EU Biodiversity Strategy 2030 of protecting at least 30% of the EU’s territory, we advocate the expansion of the Natura 2000 sites to future suitable saproxylic beetle habitats.

The recovery of wolves ( Canis lupus ) across Europe is a notable conservation success in a region with extensive human alteration of landscapes and high human population densities. We provide a comprehensive update on wolf populations in Europe, estimated at over 21,500 individuals by 2022, representing a 58% increase over the past decade. Despite the challenges of high human densities and significant land use for agriculture, industry, and urbanization, wolves have demonstrated remarkable adaptability and increasing population trends in most European countries. Improved monitoring techniques, although varying in quality and scope, have played a crucial role in tracking this recovery. Annually, wolves kill approximately 56,000 domestic animals in the EU, a risk unevenly distributed and differently handled across regions. Damage compensation costs 17 million EUR every year to European countries. Positive economic impacts from wolf presence, such as those related to reducing traffic accidents with wild ungulates or supporting wildlife tourism, remain under studied. Wolf recovery in Europe is supported by diverse policy and legal instruments such as LIFE programs, stakeholder platforms, as well as the EU Habitats Directive and the Bern Convention. Coexisting with newly established wolf populations in Europe entails managing impacts on human activities, including livestock depredation, competition for game, and fear of attacks on humans, amidst varying social and political views on wolf recovery. Sustainable coexistence continues to operate in evolving and complex social, economic, and political landscapes, often characterized by intense debates regarding wolf policies.