The effects of traffic on large carnivore populations in Croatia

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Abstract Roads and railways are causing habitat fragmentation, disturbance and direct mortality to all three species of large carnivores in Croatia. As traffic is becoming faster, quieter and denser, and the number of traffic routes is increasing, so traffic kills are on the increase. Traffic related mortality in Croatia involved brown bear Ursus arctos, Eurasian lynx Lynx lynx, and grey wolf Canis lupus. During the period 1986-94, 19% (42 of 217) of the total brown bear mortality was caused by traffic (as compared with 11% until 1985); 6.6% (10 of 151) of total Eurasian lynx mortality during the period 1978-95 was due to traffic, and 3.6% (20 of 560) of total grey wolf mortality since 1945 resulted from traffic accidents. Large carnivores in the first year of their life were found to be significantly more vulnerable to such accidents than older individuals, relative to their share in the population (wolves p<0.05, X 2 = 9.64; bears p<0.05, X 2 = 5.52; and lynxes p<0.1, X 2 = 2.91). The main habitat corridor for all three large carnivore species in Croatia was found to be in the central part of Gorski kotar, which is bisected by major road and rail traffic routes. On the new highway, which is under construction through the area, there will be numerous under- and overpasses, and several green bridges were proposed in order to reduce the impact of traffic on wild animal populations. Key words: Croatia, traffic kills, grey wolf, Canis lupus, European brown bear, Ursus arctos, Eurasian lynx, Lynx lynx

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  • Research Article
  • Cite Count Icon 45
  • 10.1371/journal.pone.0194711
Can only poorer European countries afford large carnivores?
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  • PLoS ONE
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BackgroundOne of the classic approaches in environmental economics is the environmental Kuznets curve, which predicts that when a national economy grows from low to medium levels, threats to biodiversity conservation increase, but they decrease when the economy moves from medium to high. We evaluated this approach by examining how population densities of the brown bear (Ursus arctos), gray wolf (Canis lupus), and Eurasian lynx (Lynx lynx) were related to the national economy in 24 European countries.Methodology/Principal findingsWe used forest proportions, the existence of a compensation system, and country group (former socialist countries, Nordic countries, other countries) as covariates in a linear model with the first- and the second-order polynomial terms of per capita gross domestic product (GDP). Country group was treated as a random factor, but remained insignificant and was ignored. All models concerning brown bear and wolf provided evidence that population densities decreased with increasing GDP, but densities of lynx were virtually independent of GDP. Models for the wolf explained >80% of the variation in densities, without a difference between the models with all independent variables and the model with only GDP. For the bear, the model with GDP alone accounted for 10%, and all three variables 33%, of the variation in densities.ConclusionsWolves exhibit a higher capacity for dispersal and reproduction than bear or lynx, but still exists at the lowest densities in wealthy European countries. We are aware that several other factors, not available for our models, influenced large carnivore densities. Based on the pronounced differences among large carnivore species in their countrywide relationships between densities and GDP, and a strikingly high relationship for the gray wolf, we suggest that our results reflected differences in political history and public acceptance of these species among countries. The compensation paid for the damages caused by the carnivores is not a key to higher carnivore densities, but might be necessity for the presence of large carnivores to be accepted in countries with high GDP.

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A global assessment of large terrestrial carnivore kill rates.
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A tale of two countries: large carnivore depredation and compensation schemes in Sweden and Norway
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The possibilities for assessing the impact of human activity on mammals using camera traps are demonstrated in Russia for the first time, three species of large carnivores taken as examples: the brown bear (Ursus arctos), the Eurasian lynx (Lynx lynx), and the grey wolf (Canis lupus). To do this, a single-season species-level occupancy analysis and an analysis of daily activity were utilized. The study was carried out in 2022 in the territory of the Southern Forestry of the Central Forest Nature Reserve, western European Russia during the period of maximum human activity (July–August). The relative abundance indices of pedestrians, all-terrain vehicles, as well as the distance to villages were used as variables. The maximum predicted occupancy was found for the lynx (ψ = 0.97), vs the minimum for the wolf (ψ = 0.78). The detection probability was the highest for the brown bear (p = 0.18), in contrast to both lynx and wolf (0.08 each). For the lynx and the brown bear, large degrees of overlap of daily activities with pedestrians (\({{\hat {\Delta }}_{4}}\) = 0.57 and \({{\hat {\Delta }}_{4}}\) = 0.47) and all-terrain vehicles (\({{\hat {\Delta }}_{4}}\) = 0.51 and \({{\hat {\Delta }}_{4}}\) = 0.41) were noted, in contrast to those for the wolf (\({{\hat {\Delta }}_{1}}\) = 0.37 and \({{\hat {\Delta }}_{1}}\) = 0.35, respectively). Human activity had no noticeable effect on either the spatial or temporal distribution patterns of the brown bear and lynx. In contrast, the wolf showed a shift in both patterns away from human activity. The combined use of occupancy and daily activity analyses based on data from camera traps is the optimal method for assessing and regulating the human activity in particularly strictly protected natural areas.

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  • Research Article
  • Cite Count Icon 6
  • 10.25225/jvb.22029
Temporal overlap of human and apex predator activity on wildlife trails and forest roads
  • Sep 16, 2022
  • Journal of Vertebrate Biology
  • Silvia Blašković + 3 more

The daily activity patterns of animals are modulated by external factors such as habitat selection, temporal niche selection, prey availability and predation risk. Furthermore, different species show a variety of responses to human disturbance; therefore, to understand the effects of human activities on wildlife, it is crucial to consider the disturbance characteristics (e.g. type, frequency, timing and location of human activity). Our objective was to evaluate whether vehicles on forest roads altered the daily temporal activity patterns of three apex predators; Eurasian lynx (Lynx lynx), the grey wolf (Canis lupus) and brown bear (Ursus arctos), using an extensive camera trap data set collected across a gradient of forest roads and wildlife trails in the Croatian part of the Dinaric mountains. We expected a low temporal overlap between humans and apex predators but predicted this even lower at sites where vehicles are present. Consistent with our expectations, the general overlap in temporal activity of all three apex predators and humans was low, the former being primarily active at night/dawn/dusk hours and the latter during daylight hours. In contrast, our results showed similarity in the temporal activity of all three predators on wildlife trails and forest roads where human activity was more frequent and diverse.

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  • Research Article
  • Cite Count Icon 35
  • 10.1890/es14-00444.1
Sheep farming and large carnivores: What are the factors influencing claimed losses?
  • May 1, 2015
  • Ecosphere
  • Géraldine Mabille + 5 more

Large carnivore populations are recovering in many parts of the world and this generates conflicts with humans, notably in terms of livestock depredation. Governmental programs of mitigation measures and compensation for losses are often implemented to reduce conflicts, but the factors affecting losses are poorly understood. We used 11 years of data on domestic sheep (Ovis aries) claimed, and confirmed, to have been killed by predators in Norway to evaluate how predator density, flock management, and other environmental or habitat‐related variables are related to losses. The percentage of animals claimed as lost that was found and confirmed to have been killed by large predators (i.e., the detection rate) was low, especially for sheep claimed as killed by Eurasian lynx (Lynx lynx), wolverine (Gulo gulo) and golden eagle (Aquila chrysaetos). Still, we generally found that similar factors predicted the number of claims and number of carcasses found across predator species. Predator density was strongly associated with losses, especially for sheep claimed as killed by brown bears (Ursus arctos), lynx and wolverines. Percentage of forest in the pastures, average slaughter weight of the lambs (an indicator of the forage conditions during summer) and vegetation characteristics in the spring also predicted the number of sheep claimed and found killed by lynx, wolverines and eagles. Factors related to losses due to wolves (Canis lupus) were harder to ascertain, possibly because of the severity of mitigation measures (e.g., electric fences) taken to protect sheep in wolf territories, a factor we were not able to include in our large scale analyses. Patrolling of the grazing area and early gathering of sheep in the autumn were not associated with a substantial reduction in losses. However, our dataset was not well suited to evaluate the efficiency of those mitigation strategies. Our findings could help develop new mitigation strategies as alternatives to predator removal where large carnivore conservation is a concern.

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  • Cite Count Icon 9
  • 10.1111/1365-2664.14526
Numerical top‐down effects on red deer (Cervus elaphus) are mainly shaped by humans rather than large carnivores across Europe
  • Nov 8, 2023
  • Journal of Applied Ecology
  • Suzanne T S Van Beeck Calkoen + 6 more

Terrestrial ecosystems are shaped by interacting top‐down and bottom‐up processes, with the magnitude of top‐down control by large carnivores largely depending on environmental productivity. While carnivore‐induced numerical effects on ungulate prey populations have been demonstrated in large, relatively undisturbed ecosystems, whether large carnivores can play a similar role in more human‐dominated systems is a clear knowledge gap. As humans influence both predator and prey in a variety of ways, the ecological impacts of large carnivores can be largely modified. We quantified the interactive effects of human activities and large carnivore presence on red deer (Cervus elaphus) population density and how their impacts interacted and varied with environmental productivity. Data on red deer density were collected based on a literature survey encompassing 492 study sites across 28 European countries. Variation in density across study sites was analysed using a generalized additive model in which productivity, carnivore presence (grey wolf, European lynx, Brown bear), human activities (hunting, intensity of human land‐use activity), site protection status and climatic variables served as predictors. The results showed that a reduction in deer density only occurred when wolf, lynx and bear co‐occurred within the same site. In the absence of large carnivores, red deer density varied along a productivity gradient without a clear pattern. Although a linear relationship with productivity in the presence of all three large carnivore species was found, this was not statistically significant. Moreover, hunting by humans had a stronger effect than the presence of all large carnivores in reducing red deer density and red deer density increased with increasing intensity of human land use, with stronger large carnivore effects (all three carnivore species present) at sites with low human land‐use activities. Synthesis and applications. This study provides evidence for the dominant role played by humans (i.e. hunting, land‐use activities) relative to large carnivores in reducing red deer density across European human‐dominated landscapes. These findings suggest that when we would like large carnivores to exert numeric effects, we should focus on minimizing human impacts to allow the ecological impacts of large carnivores on ecosystem functioning.

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